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Best 100 AI Tools For Daily Use 2023

Best ai tools:  If you are looking for the best AI tools, who would have thought that there are so many? And who have tried all of them? Well, we have done the research and listed our top 100 AI tools in this article. These tools are meant to help you with your business, but you should also use them for personal use as well. best artificial intelligence software ( artificial intelligence tools )

Here’s a list of the 100 top AI tools

Ada

A chatbot platform for customer support and sales.

Ada AI is a company that provides AI-powered customer service chatbot solutions for businesses. Their official website is www.ada.cx.

The website provides information about their chatbot platform, including its features and benefits, such as handling customer inquiries 24/7, improving response times, and reducing costs. The website also includes information about their team and leadership, as well as customer success stories and case studies.

In addition, the website offers resources for businesses that are interested in implementing chatbots, including a demo, a blog with tips and best practices, and a knowledge base with frequently asked questions.

AIDoc Medical

A tool for medical image analysis and diagnosis.

AIDoc Medical is an AI-powered medical imaging analysis platform that helps radiologists and other medical professionals diagnose and treat diseases more efficiently and accurately.

The official website for AIDoc Medical is www.aidoc.com. This website provides information about the platform, including its features, use cases, and benefits. It offers a range of tools and resources for medical professionals, including a suite of AI algorithms that can be integrated with various medical imaging devices, such as CT and MRI scanners.

The website also includes information about the company behind AIDoc Medical, as well as the team and leadership. It provides details about their partnerships with hospitals and medical institutions around the world, and how they are using AI to improve patient outcomes.

In addition, the website offers a blog with updates and insights on the latest trends and developments in medical imaging analysis and AI technology. It also offers a resource library with white papers, case studies, and other educational materials for healthcare professionals interested in learning more about the capabilities and applications of AIDoc Medical.

Algorithmia

A marketplace for AI algorithms.

Algorithmia is a cloud-based AI and machine learning (ML) platform that provides a marketplace for algorithms, enabling developers and data scientists to access and deploy ML models and workflows at scale.

The official website for Algorithmia is www.algorithmia.com. This website provides information about the platform, including its features, use cases, and benefits. It offers a range of tools and resources for developers and data scientists, including a marketplace with over 8,000 pre-trained ML models and algorithms that can be integrated into various applications and workflows.

The website also includes information about the company behind Algorithmia, as well as the team and leadership. It provides details about their partnerships with leading technology companies, academic institutions, and government agencies, and how they are using AI to solve real-world problems.

In addition, the website offers a blog with updates and insights on the latest trends and developments in AI and ML technology. It also offers a resource library with white papers, case studies, and other educational materials for those interested in learning more about the capabilities and applications of Algorithmia.

Amazon Rekognition

A tool for analyzing images and video.

Amazon Rekognition is a cloud-based AI-powered image and video analysis service that makes it easy to add image and video analysis to your applications.

The official website for Amazon Rekognition is aws.amazon.com/rekognition. This website provides information about the service, including its features, use cases, and benefits. It offers a range of tools and resources for developers, including APIs and SDKs to help them integrate image and video analysis into their applications.

The website also includes information about the company behind Amazon Rekognition, as well as the team and leadership. It provides details about their partnerships with leading technology companies and how they are using AI to improve image and video analysis.

In addition, the website offers a blog with updates and insights on the latest trends and developments in AI and machine learning technology. It also offers a resource center with whitepapers, case studies, and other educational materials for those interested in learning more about the capabilities and applications of Amazon Rekognition.

Amazon SageMaker

A machine learning platform for building, training, and deploying models.

Amazon SageMaker is a fully-managed service that provides developers and data scientists with the ability to build, train, and deploy machine learning models quickly and easily.

The official website for Amazon SageMaker is www.aws.amazon.com/sagemaker. This website provides information about the service, including its features, use cases, and benefits. It offers a range of tools and resources for developers and data scientists, including pre-built machine learning models, frameworks, and algorithms that can be used to build custom models.

The website also includes information about the company behind Amazon SageMaker, as well as the team and leadership. It provides details about their partnerships with leading technology companies and how they are using AI to improve machine learning.

In addition, the website offers a blog with updates and insights on the latest trends and developments in AI and machine learning technology. It also offers a resource center with whitepapers, case studies, and other educational materials for those interested in learning more about the capabilities and applications of Amazon SageMaker.

Anaconda

An open-source platform for data science and machine learning.

Anaconda is an open-source distribution of the Python and R programming languages for scientific computing and data science, which includes more than 250 popular data science packages and tools. It is used by data scientists and developers to create, distribute, and manage data science and machine learning applications.

The official website for Anaconda is www.anaconda.com. This website provides information about the distribution, including its features, use cases, and benefits. It offers a range of tools and resources for data scientists and developers, including packages, environments, and data visualization tools.

The website also includes information about the company behind Anaconda, as well as the team and leadership. It provides details about their partnerships with leading technology companies and how they are using AI to improve data science.

In addition, the website offers a blog with updates and insights on the latest trends and developments in data science and machine learning technology. It also offers a resource center with whitepapers, case studies, and other educational materials for those interested in learning more about the capabilities and applications of Anaconda.

Apache Hadoop

An open-source framework for distributed storage and processing of big data.

Apache Hadoop is an open-source framework for distributed storage and processing of big data. It is designed to handle large amounts of data, both structured and unstructured, and allows for distributed processing of data across multiple computers or clusters.

The official website for Apache Hadoop is hadoop.apache.org. This website provides information about the framework, including its features, use cases, and benefits. It offers a range of tools and resources for developers, including APIs and SDKs to help them build applications using Hadoop.

The website also includes information about the Apache Software Foundation, the organization behind Apache Hadoop, as well as the community of developers who contribute to the project. It provides details about their partnerships with leading technology companies and how they are using AI to improve big data processing.

In addition, the website offers a blog with updates and insights on the latest trends and developments in big data and AI technology. It also offers a resource center with whitepapers, case studies, and other educational materials for those interested in learning more about the capabilities and applications of Apache Hadoop.

Apache Mahout

An open-source machine learning library.

Apache Mahout is an open-source machine learning library that is designed to help developers and data scientists build scalable machine learning applications.

The official website for Apache Mahout is mahout.apache.org. This website provides information about the library, including its features, use cases, and benefits. It offers a range of tools and resources for developers and data scientists, including algorithms, frameworks, and tools for building machine learning applications.

The website also includes information about the Apache Software Foundation, the organization behind Apache Mahout, as well as the community of developers who contribute to the project. It provides details about their partnerships with leading technology companies and how they are using AI to improve machine learning.

In addition, the website offers a blog with updates and insights on the latest trends and developments in machine learning technology. It also offers a resource center with whitepapers, case studies, and other educational materials for those interested in learning more about the capabilities and applications of Apache Mahout.

Apache MXNet

An open-source deep learning framework.

Apache MXNet is an open-source deep learning framework designed for training and deploying deep neural networks. It provides tools and libraries for building, testing, and scaling machine learning models, with support for a wide range of programming languages.

The official website for Apache MXNet is mxnet.apache.org. This website provides information about the framework, including its features, use cases, and benefits. It offers a range of tools and resources for developers and data scientists, including tutorials, sample code, and documentation.

The website also includes information about the Apache Software Foundation, the organization behind Apache MXNet, as well as the community of developers who contribute to the project. It provides details about their partnerships with leading technology companies and how they are using AI to improve deep learning.

In addition, the website offers a blog with updates and insights on the latest trends and developments in deep learning technology. It also offers a resource center with whitepapers, case studies, and other educational materials for those interested in learning more about the capabilities and applications of Apache MXNet.

Apache Spark

An open-source big data processing engine.

Apache Spark is an open-source distributed computing system that is used for big data processing and analytics. It is designed to be fast, flexible, and easy to use, with support for a wide range of data processing tasks, including machine learning, graph processing, and real-time streaming.

The official website for Apache Spark is spark.apache.org. This website provides information about the system, including its features, use cases, and benefits. It offers a range of tools and resources for developers and data scientists, including documentation, tutorials, and sample code.

The website also includes information about the Apache Software Foundation, the organization behind Apache Spark, as well as the community of developers who contribute to the project. It provides details about their partnerships with leading technology companies and how they are using AI to improve big data processing.

In addition, the website offers a blog with updates and insights on the latest trends and developments in big data and AI technology. It also offers a resource center with whitepapers, case studies, and other educational materials for those interested in learning more about the capabilities and applications of Apache Spark.

Apple Core ML

A framework for integrating machine learning models into iOS apps.

Apple Core ML is a machine learning framework that allows developers to integrate machine learning models into their iOS, iPadOS, macOS, and watchOS applications. It provides pre-trained models for tasks such as image and speech recognition, as well as tools for building and training custom models.

The official website for Apple Core ML is developer.apple.com/documentation/coreml. This website provides detailed documentation and resources for developers who want to integrate Core ML into their applications. It offers a range of tools and resources, including sample code, tutorials, and documentation.

The website also includes information about Apple’s other developer tools and resources, including Xcode and Swift, as well as details about their partnerships with leading technology companies and how they are using AI to improve the user experience on Apple devices.

In addition, the website offers a community forum where developers can share their experiences and get help with using Core ML and other Apple development tools. It also offers a range of events, including conferences and workshops, where developers can learn more about the latest trends and best practices in AI and machine learning for Apple platforms.

Arimo

A platform for predictive analytics.

Arimo is a machine learning and artificial intelligence platform that provides solutions for enterprises to automate complex processes and make data-driven decisions.

The website for Arimo is www.arimo.com. On the website, Arimo provides details on its various solutions, including AI-powered automation of business processes, predictive maintenance, and fraud detection. It also offers case studies of how its customers have used the platform to improve their operations and decision-making.

The website offers a range of resources and tools for developers and data scientists, including a library of machine learning models, APIs for integrating with other applications, and documentation for getting started with the platform. Arimo also provides a dashboard for monitoring the performance of machine learning models, as well as tools for managing data pipelines and workflows.

In addition, the website offers a blog with updates and insights on the latest trends and developments in AI and machine learning technology. It also offers a range of events, including webinars and conferences, where customers and other interested parties can learn more about Arimo’s solutions and the latest trends in AI and machine learning.

Best artificial intelligence software ( Best ai tools)

Read Also

Artificial intelligence and machine Learning

Big Panda Best ai tools

A tool for event correlation and management.

BigDL

An open-source deep learning framework for distributed computing.

Caffe

An open-source deep learning framework.

Chainer

An open-source deep learning framework.

Clarifai

A tool for image and video analysis.

Cloud AutoML

A tool for building custom machine learning models.

Databricks

A unified analytics platform for big data and AI.

DataRobot

A tool for automated machine learning.

DeepCognition

A platform for building and deploying deep learning models.

Deepgram

A tool for speech recognition.

DeepLens

An AI-powered camera for developers.

DeepMind

A research lab focused on AI and machine learning.

Dialogflow

A tool for building chatbots and conversational interfaces.

Einstein

Salesforce’s AI platform for customer relationship management.

fast.ai

A deep learning framework for developers.

FloydHub

A platform for training and deploying machine learning models.

Gensim

A tool for natural language processing.

Google Cloud AutoML ( Best ai tools )

A tool for building custom machine learning models.

Google Cloud Machine Learning Engine

A platform for building and deploying machine learning models.

Google Cloud Vision

A tool for image analysis and recognition.

H2O.ai

An open-source platform for building and deploying machine learning models.

IBM Watson

A suite of AI tools for natural language processing, speech recognition, image analysis, and more.

Keras

A high-level neural networks API written in Python.

KNIME Analytics Platform

An open-source platform for data science and machine learning.

Luminoso

A tool for natural language understanding.

Mahout

An open-source machine learning library.

MathWorks

A platform for mathematical computing and simulation.

Microsoft Azure Machine Learning

A platform for building and deploying machine learning models.

Microsoft Cognitive Services

A suite of AI tools for natural language processing, image analysis, and more.

MonkeyLearn

A tool for text analysis and classification.

MXNet

An open-source deep learning framework.

Natural Language Toolkit (NLTK)

An open-source platform for natural language processing.

Neural Designer

A tool for building and training neural networks.

Neurala

A tool for building and deploying deep learning models.

NVIDIA Deep Learning GPU Training System (DIGITS)

A tool for training deep learning models.

OpenAI ( Best ai tools )

A research lab focused on AI and machine learning.

OpenCV

An open-source computer vision library.

OpenNLP  ( Best ai tools )

OpenNLP stands for Open Natural Language Processing. It is a free, open-source toolkit for natural language processing (NLP) written in Java. The toolkit provides a set of tools and interfaces for tasks such as tokenization, part-of-speech tagging, named entity recognition, chunking, parsing, and coreference resolution.

OpenNLP is widely used in various applications, including information extraction, document classification, sentiment analysis, machine translation, chatbots, and more. It can be integrated into Java applications and used with other open-source tools, such as Apache Lucene and Apache Solr.

OpenNLP is maintained by the Apache Software Foundation and has a large community of contributors who provide support, bug fixes, and new features. Its modular architecture and user-friendly APIs make it an attractive choice for NLP practitioners and developers.

Orange

An open-source data visualization and machine learning tool.

Pandas

A data analysis library for Python.

Prophet

A tool for time series forecasting developed by Facebook.

PyTorch

An open-source machine learning framework developed by Facebook.

RapidMiner

A platform for data science and machine learning.

Scikit-learn

An open-source machine learning library for Python.

Best AI tools

Sentieo

A platform for financial and corporate research.

TensorFlow

An open-source machine learning framework developed by Google.

Theano

An open-source machine learning library.

Turi Create

A tool for building and training machine learning models developed by Apple.

Unity ML Agents

A toolkit for developing and training intelligent agents in Unity.

Weka

An open-source platform for data mining and machine learning.

Wit.ai

A tool for building natural language processing models.

XGBoost

A popular open-source library for gradient boosting.

Best AI tools

YOLO (You Only Look Once)

A real-time object detection system.

AllenNLP

An open-source natural language processing library developed by Allen Institute for AI.

Ayasdi

A platform for enterprise-grade machine intelligence.

Cognitivescale

A platform for developing AI-powered enterprise solutions.

Deep Vision

A tool for image recognition and object detection.

DialogTech

A platform for conversation analytics and optimization.

Dialogic

A tool for natural language generation.

DigitalGenius

A platform for customer service automation.

Enlitic

A platform for medical image analysis.

Freenome

A tool for early cancer detection.

Grammarly

A tool for grammar and writing analysis.

Hugging Face

A platform for natural language processing.

Indico

A platform for text analysis and image recognition.

Infosys Nia

A platform for enterprise-grade AI.

KAI

A platform for building virtual assistants.

Klevu

A platform for e-commerce search and personalization.

Lexalytics

A tool for sentiment analysis and text analytics.

Logical Glue

A platform for automated machine learning.

Lucidworks

A platform for enterprise search and AI-powered insights.

MindMeld

A platform for building conversational interfaces.

Netra

A tool for visual intelligence.

NLP Cloud

A platform for natural language processing.

Best artificial intelligence software

Noodle.ai

A platform for enterprise AI.

Optmyzr

A tool for PPC management and optimization.

ParallelDots

A platform for natural language processing.

Best AI tools

Peltarion

A platform for building and deploying deep learning models.

People Pattern

A platform for audience insights and analysis.

Persado

A tool for AI-powered content creation.

Premonition

A platform for legal analytics.

Best AI tools

Suki.AI

A tool for medical note-taking and clinical documentation.

Textio

A tool for AI-powered writing optimization.

Trifacta

A platform for data wrangling and preparation.

UiPath

A platform for RPA (robotic process automation).

Viond

A platform for interactive 360-degree video creation.

ZestFinance

A platform for credit underwriting and risk analysis.

 

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Artificial intelligence and machine Learning

Artificial intelligence and machine Learning

Artificial intelligence and machine Learning: Artificial Intelligence (AI) is a rapidly growing field that has the potential to transform our lives in numerous ways. It involves the creation of intelligent machines that can think and act like human beings. AI aims to develop algorithms and systems that can perform tasks normally requiring human intelligence, such as speech recognition, image classification, decision-making, and natural language processing.

One of the most exciting aspects of AI is its ability to learn from data and improve over time. This is achieved through the use of machine learning algorithms, which allow systems to improve from experience without being explicitly programmed automatically. This makes it possible for AI to solve complex problems that would otherwise be too difficult for humans to handle.

artificial intelligence machine learning

One of the key applications of AI is in the field of healthcare. AI systems can be used to analyze vast amounts of medical data, such as patient records and medical images, to help doctors make more informed decisions. For example, AI algorithms can be trained to detect early signs of diseases such as cancer, making it possible to treat patients before the disease has advanced. AI is also being used in drug discovery, where it can help researchers identify new treatments for diseases more quickly and efficiently.

Artificial Intelligence (AI) and Machine Learning (ML)

    • Deep Learning and Neural Networks
    • Natural Language Processing (NLP)
    • Image Recognition and Computer Vision
    • Reinforcement Learning
    • Predictive Analytics and Time Series Forecasting
    • Transfer Learning

Deep Learning and Neural Networks

Deep Learning and Neural Networks: Deep Learning is a subset of Machine Learning that involves training artificial neural networks on large amounts of data. Neural networks are inspired by the structure and function of the human brain and are designed to learn patterns and make predictions. Deep Learning algorithms have been used to achieve breakthrough results in areas such as image recognition, natural language processing, and speech recognition.

Natural Language Processing (NLP)

Natural Language Processing (NLP): NLP is a field of Artificial Intelligence that focuses on the interaction between computers and human language. NLP techniques are used to process, understand, and generate human language, and they are used in applications such as machine translation, text classification, sentiment analysis, and named entity recognition.

Natural Language Processing

Image Recognition and Computer Vision

Image Recognition and Computer Vision: Image Recognition is the task of recognizing objects, people, scenes, and events in digital images. Computer Vision is a field of study that focuses on teaching machines to interpret and understand the visual world. Deep Learning algorithms have been particularly successful in Image Recognition and Computer Vision tasks, and they have been used in applications such as self-driving cars, medical imaging analysis, and security and surveillance systems.

Reinforcement Learning

Reinforcement Learning: Reinforcement Learning is a type of Machine Learning that focuses on training agents (such as robots or software programs) to make decisions in an environment by learning from the consequences of their actions. In Reinforcement Learning, an agent interacts with its environment and receives feedback in the form of rewards or penalties, which it uses to adjust its decision-making policy over time. This allows the agent to learn how to maximize its reward over time.

Predictive Analytics and Time Series Forecasting

Predictive Analytics and Time Series Forecasting: Predictive Analytics is the use of statistical and Machine Learning techniques to analyze historical data and make predictions about future events. Time Series Forecasting is a type of Predictive Analytics that focuses on predicting future values based on a series of past values. Time series forecasting is used in applications such as sales forecasting, weather forecasting, and stock market analysis.

Transfer Learning

Transfer Learning: Transfer Learning is a technique in Machine Learning where a model that has been trained on one task is used as a starting point for another related task. This allows the model to leverage its knowledge from the previous task, reducing the amount of data and computational resources required to train the model on the new task. Transfer Learning is useful in a variety of applications, including computer vision and natural language processing, where large amounts of labeled data may be scarce or expensive to obtain.

Artificial intelligence and machine learning:

Here are some examples of Artificial Intelligence (AI) applications and technologies

  • Virtual Personal Assistants: Siri, Alexa, Google Assistant, etc.
  • Speech Recognition: converting spoken words into text, used in call centres, dictation software, etc.
  • Image Recognition: identifying objects, people, and actions in images and videos, used in security systems, self-driving cars, etc.
  • Natural Language Processing (NLP): allowing computers to understand, interpret, and generate human language, used in language translation, sentiment analysis, etc.
  • Robotics: using AI algorithms to control robot behaviour in manufacturing, healthcare, and military applications.
  • Machine Learning: a type of AI that allows systems to automatically improve from experience without being explicitly programmed, used in a wide range of applications including predictive modelling, recommendation systems, and fraud detection.
  • Deep Learning: a subfield of machine learning that uses deep neural networks to model complex patterns in data, used in image and speech recognition, natural language processing, and other applications.
  • Decision Making Systems: AI systems that can make decisions on their own, based on a set of rules or algorithms, used in fields such as finance, healthcare, and retail.

Artificial inteligence machine learning

artificial intelligence machine learning : Another important application of AI is in the field of robotics. Robots that are equipped with AI algorithms can perform tasks that are too dangerous or difficult for humans, such as exploring disaster zones or performing complex surgeries. In addition, AI robots can also be used in manufacturing to help automate production processes, reducing the need for human labour.

One of the challenges of AI is ensuring that it operates in an ethical and transparent manner. There is a concern that AI systems could be used to make decisions that significantly impact people’s lives, such as in the case of self-driving cars. It is important to develop AI systems that are transparent and accountable so that people can understand how they make decisions and have confidence in their operation.

In conclusion, AI has the potential to transform our lives in numerous ways and has already begun to make a significant impact in many industries. However, it is important to approach the development of AI with caution, ensuring that it operates in an ethical and transparent manner, so that we can reap its benefits while minimizing its potential risks. artificial intelligence machine learning

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How to start web development 2023

 

 

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How to start web development 2023

How to start web development:  How to create a website step by step In the digital age, a website is essential for businesses and individuals. A well-designed website can serve as an online platform to showcase your products or services, share your ideas and thoughts, or connect with others in your community. Building a website, however, can seem like a daunting task, especially for those who are new to web development. This comprehensive guide will help you get started with building your own website, from planning and design to launch and promotion.

How to start web development

Developing a website typically involves the following steps:

  1. Define the purpose and goals of your website: What do you want to achieve with your website? Who is your target audience? What content do you want to include on your site?
  2. Choose a domain name and hosting platform: Your domain name is the address people will use to access your website, and a hosting platform is where your website will be stored and made accessible to the internet.
  3. Plan the structure and content of your website: Decide what pages you want to include on your site and what content you want to put on each page.
  4. Choose a website builder or content management system (CMS): A website builder is a tool that allows you to create a website without coding, while a CMS is a platform that allows you to manage your website’s content.
  5. Design and customize your website: Choose a design theme and colour scheme, add images and text, and customize the look and feel of your site.
  6. Test your website: Check for any bugs or issues and make sure your site is working properly.
  7. Launch your website: Once you’re satisfied with your site, make it live and publicly accessible.
  8. Promote your website: Share your site with friends and family, create social media accounts for your site, and consider search engine optimization (SEO) to increase visibility and drive traffic to your site.

Note: The specific steps you’ll need to take will depend on the website builder or CMS you choose, as well as the scope and complexity of your website.

Step 1: Define the Purpose and Goals of Your Website

How to start web development

The first step in building a website is to define the purpose and goals of your site. What do you want to achieve with your website? Who is your target audience? What content do you want to include on your site? These questions will help you determine the focus and structure of your site.

For example, if you’re building a business website, your goal might be to showcase your products or services and generate leads or sales. If you’re building a personal blog, your goal might be to share your thoughts and experiences with a wider audience. Understanding the purpose and goals of your website will help you create a site that meets your specific needs and expectations.

Step 2: Choose a Domain Name and Hosting Platform

Once you have a clear understanding of the purpose and goals of your website, you’ll need to choose a domain name and hosting platform. Your domain name is the address people will use to access your website, and a hosting platform is where your website will be stored and made accessible to the internet.

How to start web development

When choosing a domain name, it’s important to pick something that is memorable, easy to spell, and relevant to your brand or website. Hosting platforms, such as Bluehost, HostGator, or WP Engine, offer different packages with varying levels of storage, bandwidth, and support. Consider your website’s specific needs and choose a hosting platform that meets those requirements.

Step 3: Plan the Structure and Content of Your Website

Once you have your domain name and hosting platform set up, it’s time to start planning the structure and content of your site. Decide what pages you want to include on your site and what content you want to put on each page. A typical website might include pages such as Home, About, Products/Services, Blog, Contact, and Privacy Policy.

Consider the user experience when planning the structure and content of your site. Make sure your site is easy to navigate, with clear headings and menus, and that the content is organized in a way that makes sense. Think about the type of content you want to include on each page, such as text, images, videos, or forms, and make sure it’s relevant to the purpose and goals of your site.

Step 4: Choose a Website Builder or Content Management System (CMS)

How to start web development

Once you have a plan for the structure and content of your site, it’s time to choose a website builder or content management system (CMS). A website builder is a tool that allows you to create a website without coding, while a CMS is a platform that allows you to manage your website’s content.

There are many website builders and CMS options available, including Wix, Squarespace, WordPress, and Joomla. Consider your specific needs, such as the type of site you want to build, the level of customization you want, and the cost, when choosing a website builder or CMS.

Step 5: Design and Customize Your Website

start web development With your website builder or CMS in place, it’s time to start designing and customizing your site. Choose a design theme and color scheme that reflects the personality and style of your brand

or website. Use high-quality images and graphics to enhance the visual appeal of your site. Make sure your site is easy to navigate and that all the information is easy to find.

Think about the user experience when designing your site. Make sure the layout is clean and uncluttered, with plenty of white space and clear headings and menus. Use contrasting colors for text and background to improve readability. Make sure the site is responsive, so it looks great on all devices, from desktops to mobile phones.

Step 6: Add Content to Your Website

With your website designed and customized, it’s time to add content to your site. Start by filling in the content for each page, using text, images, videos, and other media. Make sure the content is clear, concise, and relevant to the purpose and goals of your site.

Optimize your site for search engines by including keywords and meta descriptions in your content. This will help your site rank higher in search engine results pages (SERPs), making it easier for potential customers to find your site.

Step 7: Test and Launch Your Website

Before launching your website, it’s important to test it thoroughly to make sure everything is working properly. Test all the links, forms, and other features to make sure they are functioning correctly. Check that your site is responsive, with a good user experience on all devices.

Once you’re satisfied that your site is ready, it’s time to launch it. Publish your site and make it live for the world to see. Promote your site through social media, online ads, or other marketing channels to drive traffic to your site and reach your target audience.

Step 8: Maintain and Update Your Website

Finally, don’t forget to maintain and update your site regularly. Keep the content fresh and relevant, and make sure all the information is up-to-date. Use analytics tools to track the performance of your site and make changes as needed.

Consider adding new features and functionality to your site over time, such as a blog, e-commerce store, or online booking system. This will help keep your site engaging and relevant, and will help you achieve your purpose and goals over time.

How to start web development

Conclusion

Building a website can seem like a daunting task, but with the right planning, tools, and resources, it can be a rewarding and enjoyable experience. Whether you’re building a business website, a personal blog, or an online store, this comprehensive guide will help you get started and bring your vision to life. Start building your website today and take your first step towards success in the digital age.

Read Also 

Digital Marketing Course

 

How to start web development 2023 Read More »

What is ChatGPT, and its possible use cases?

Check the news again if you thought 2022 will be remembered for Messi’s thunderous performance, FIFA frenzy, or Elon Musk’s existence Twitter poll. Sunder Pichai is directing major AI warnings and improvements, Google is in “code red,” the international media is enthused about the potential of AI, and students, academics, and content producers are beaming because they’ve made a buddy in the ChatGPT! No matter how perplexed or amazed you are, our post answers a lot of them.

We’re glad you’re here to learn more about ChatGPT, a natural language processing (NLP) technology that will make your quick application development a breeze.

We should start with defining NLP because we know you’re eager to learn what it entails. NLP is a subfield of artificial intelligence that focuses on the use of natural language in communication between people and machines. In other words, it enables machines to comprehend, decipher, and produce human language. Text analysis, chatbots, and language translation are just a few of the useful applications of this technology.

What is ChatGPT?

The Natural Language Processing (NLP) that is included into the ChatGPT chatbot building platform enables developers to design chatbots that can interpret and react to user input in a natural and conversational manner. In November of 2022, it was made available for free as a research preview/prototype version. It is driven by a machine learning model known as GPT-3, which was created by OpenAI and is widely regarded as one of the most cutting-edge NLP models available at this time. For those who are confused about what all of these abbreviations and acronyms stand for and why they are being used, the following explanation should clear things up.

What is Chat GPT

The term “Generative Pre-training Transformer” (GPT) refers to a linguistic model that is driven by artificial intelligence. The term “pre-trained” suggests that it is built on a database of texts or phrases, which enables it to comprehend the patterns and structures of natural language. As a result, the comments take on a conversational tone. It considers the context of the question and adjusts its responses accordingly.

Long data sequences may be processed quickly and effectively using the “transformational” structure. It contains layers that, depending on the input, might prioritise certain words or phrases. After then, the model has a greater understanding of the context as well as the significance of the input. The end effect is that you get replies that are of a higher quality and are more coherent. The ability of the model to grasp complicated patterns is enabled by the use of “feed-forward layers” and “residual connections.” In the grand scheme of things, this results in a better capture of various words and phrases.

What are the features of ChatGPT?

An artificial intelligence model developed by OpenAI is used in the coding of ChatGPT, which uses the GPT-3.5 language technology. It has been trained on a vast quantity of text data derived from a variety of different sources. The fact that GPT can create text that is quite close to that produced by humans is what sets it apart from other similar programmes. You “speak” to it, and it determines the next word in the sequence based on all of the words you have used in the previous iterations of the conversation. It would be quite difficult to differentiate the words that GPT creates from the words that a real person would speak. Because of this, it is useful for translating languages, producing text, creating chatbot answers, and any other process that requires a conversational flow that sounds natural.

The prior models developed by OpenAI, such as InstructGPT, GPT-3, and Codex, serve as the basis for ChatGPT. It is derived from an earlier model of the GPT-3.5 series, which completed its testing and training in the first half of 2022, and further refinements have been made to it.

To be more specific, the following characteristics may be found in ChatGPT: 

  • Conversational communication
  • Dynamic reactions
  • information based on comparisons and rankings of replies
  • Comprehensive replies
  • Asks questions and provides responses to everything.
  • It is derived from over 300 billion words that have been input into the database.
  • Continuous learning even while it provides responses, ultimately being taught to provide answers that are more accurate each time it is called upon.

What is Chat GPT

How does ChatGPT work?

If you let your curiosity get the better of you and decided to check out ChatGPT, there’s a good possibility you already have it open on another tab on your device. While you may be impressed by the fluency of the responses provided by this AI tool, the following is what we know about how it operates:

Reinforcement Learning through Human Feedback, also known as RLHF, was used during the training process for the model.

  • The acquisition of data is carried out somewhat differently compared to the preceding models, using a process that is more supervised and finely calibrated.
  • Conversations are crafted by human AI trainers, who take on the role of both the user and the AI assistant in each exchange.
  • These instructors have access to pre-written ideas that may serve as models for them to follow while drafting answers.
  • The newly created database was integrated with the data from the older version of InstructGPT, and then it was formatted as a conversation.
  • The information is gathered through discussions that AI trainers had with the chatbot. Comparison data is obtained from two or more model replies, rated by quality.
  • This procedure is repeated several times, and with each iteration, the model is tweaked and improved.

How do you use ChatGPT

ChatGPT provides users with a free review and research model to use in their work.

  • Create an account using your Google or Microsoft credentials, or any other email address of your choosing.
  • Make sure you have a phone number that you can use (but not a fake phone number) so that you can register using the code that OpenAI gives you.
  • You will have access to the OpenAI introduction page, which contains information on the platform’s functionality, restrictions, and approach, among other topics.
  • You may create replies to your questions by typing them into the chat box.
  • Using a statement rather than a question as an input will have different outcomes than the alternative, which is using a question.
  • Despite the little data available for events that will occur before 2021, it is possible to regenerate replies in order to get a number of different types of answers.
  • ChatGPT will remember your chat, and much like a person, it will own its errors, even contest certain premises that you could make, and at times it will refuse to respond if it determines that the question is beyond the realm of its expertise (oh yeah! When seen from that perspective, it is superior than both Alexa and Siri.

What are the benefits of ChatGPT?

1. Ability to comprehend and react to various linguistic inputs

ChatGPT is able to comprehend a wide variety of language inputs, even those that are considered to be difficult or unusual! It has been trained on a huge human language dataset, which enables it to comprehend and provide replies to a varied variety of user inputs. Having been trained on this dataset, it is able to: Because of this, it is ideal for the creation of chatbots that can manage a large number of questions or requests from customers.

2. Capability to learn new things and become better with time.

ChatGPT is able to modify and improve its replies to better suit the requirements of its users as it processes an increasing amount of user input. This indicates that the chatbots produced using ChatGPT have the potential to grow more effective and efficient over time, ultimately leading to a more positive experience for the user.

3. Facilitating the creation of applications more quickly

ChatGPT’s user-friendly interface and built-in natural language processing (NLP) model make it possible for developers to rapidly and simply design chatbot apps. This may be particularly helpful for companies that need to swiftly create and deploy chatbot apps in order to fulfil the ever-changing requirements of the market or the wants of their customers.

Work in a human-machine hybrid mode is brought to light by ChatGPT, which is an intriguing element. It is not solely up to humans to push AI to produce positive outcomes. They are also able to direct and rectify any errors that may be made by AI. Both the human and the AI are helping each other become “experts” in their respective fields thanks to the symbiotic interaction between them.

How can ChatGPT be used for application development?

This tool is versatile for developers. ChatGPT can construct effective, inventive, and engaging chatbot solutions in numerous sectors and circumstances. Use scenarios are often as follows:

  • Chatbots: a typical human dialogue with a computer programme
  • Translation: Words from one language into another via the process of translation
  • Summarization: To comprehend the most important features of any subject through summarization.
  • Completion: Completion: the process of effectively finishing off words and paragraphs
  • Creation: The production of brand new content

With ChatGPT operating in its natural and conversational manner, chatbot creation services take on a new direction. In terms of certain sectors of the economy and types of services, the ChatGPT may assist in the following ways:

1. Customer service

By using ChatGPT to build a chatbot that is able to comprehend and answer to customer enquiries and requests in a natural and conversational manner, companies are able to deliver a customer support experience that is both more effective and more convenient for their clients. Both the company and the consumer stand to benefit from this exchange of time and material.

2. eCommerce websites

These might be hilarious, useful, or even something you can relate to. Customers may be assisted in locating items, receiving suggestions, and concluding transactions with the help of chatbots that can be created using ChatGPT. Customers may have a more enjoyable and memorable shopping experience as a result, which may also lead to a rise in overall revenue for the company. A satisfying shopping experience is characterised by at least the appearance of genuine human contact, as well as humour, delight, and accurate emotions in language.

3. Education or training purposes

Students and workers alike may benefit from the individualised learning experience that is brought about by the use of tailored material and examinations. These are determined by the requirements of the user and their development. This may be of particular help in fields like healthcare and finance, where employees are required to maintain a level of continual education.

4. Scheduling and appointment booking

The process of scheduling may be simplified with the use of chatbots, which provide users the ability to instantly schedule appointments or reserve resources without having to navigate a complicated system or wait on line. This may be particularly helpful for companies that depend on scheduling, such as those who offer services or healthcare, such healthcare providers or service providers.

5. Entertainment or leisure

Chatbots might be used to build virtual assistants who give individualised fitness or meditation programmes, provide suggestions for movies or music, or provide other similar services. Because ChatGPT is able to interpret and react to user input in a natural and conversational manner, it is an excellent choice for the applications described above.

6. Travel Industry

Chatbots might be used to help people book flights, hotels, and rental vehicles, as well as providing suggestions for places to visit and things to do. Users may find the process of trip planning to be simplified and made more convenient as a result of this change.

7. Healthcare Industry

Chatbots might be used to give medical information and help, such as answering commonly asked questions or giving symptom checks. This could be done, for example, by answering frequently requested questions. This might make some of the demands placed on healthcare workers easier to manage while also making resources more accessible to patients.

The business use cases are outlined in a condensed manner by McKinsey:

Marketing and sales—includes the creation of individualised material for marketing, social media, and technical sales (containing text, photos, and video); the development of assistants that are tailored to certain industries, such as retail.

  • Operations: Operations include making to-do lists in order to carry out a certain endeavour in an effective manner.
  • IT/engineering : IT and engineering, namely the processes of developing, documenting, and evaluating code
  • Risk and legal: Answering difficult queries, searching through large volumes of legal data, and creating and evaluating yearly reports are all part of the risk and legal department’s responsibilities.
  • R&D: Research and development—speeding up the process of finding new drugs by improving our knowledge of illness and finding new chemical structures

ChatGPT use

Limitations of ChatGPT

Developers that are interested in creating chatbot apps with natural language processing will find ChatGPT to be a very useful tool. Because of its capacity to comprehend and react to complex and diverse linguistic inputs, as well as its ability to learn and improve over time, it is an excellent option for the creation of chatbots that can give consumers with value.

  • Size of the Database: Despite having a large database, ChatGPT is not always successful in capturing the real-time variety of languages, experiences, and cultural backgrounds. As a consequence, replies might sometimes be found to be inappropriate or out of context.
  • Models that have already been pre-trained ChatGPT, as a matter of fact, is dependent on machine learning algorithms that are taught by data. We can’t depend on the replies being accurate since there is a possibility that the training was incomplete or inaccurate. Because of this, we can’t even be sure that the training was biassed. There is also the possibility of systemic biases.
  • Heavy on the Resources: The model gets its power from a wide variety of resources. This may provide a problem for mobile devices and other low-power gadgets.
  • Timeline: ChatGPT does not currently include events that will take place beyond the year 2021. Therefore, you will not find solutions to questions pertaining to anything that occurred after that period.
  • Cost: According to recent reports, the operation of the model presently costs $3 million US dollars per month. In the long term, this can end up being impossible to control. In addition, individuals need to find out where the charges will be put for users after the time for reviewing the model and doing research has concluded.
  • The model is only able to manage a succession of qualities about persons, locations, or events, etc. under certain circumstances due to the complexity of the facts. Considering the pre-trained structure, it has the potential to confound elements and provide solutions at random. In addition, considering that the data came via the internet, the replies can be skewed. Even generative AI may do things wrong sometimes! It is not always possible to have several points of view.

Frequently Asked Questions

Q. Can ChatGPT dethrone Google?

ChatGPT has been the topic of a number of discussions, however it is important to note that it does have certain drawbacks, including a complicated database, restricted time coverage till 2021, and expensive maintenance. It is unknown if it will dethrone any existing search engine at this point. At best, for the time being, it will make search more useful for the typical user, and it will provide Google with competition, which will provide an incentive for the company to develop and innovate.

Q How is ChatGPT different from other language generators available?

A limited number of audience types have access to other language generators. ChatGPT stands apart from other platforms due to the fact that, for the time being at least, anybody may use it and it simulates natural communication. ChatGPT satisfies people’s need for natural, unforced engagement with other people by attracting approximately one million users in only the first five days after it was released.

Q Is ChatGPT sentient?

There is no possible way for a language generator to ever be “sentient.” The model is “taught” to respond appropriately to questions. In response to certain inquiries, it will provide replies that are predicative in nature. Because it uses language that is as close to that of a person as is feasible — that is, language that is natural and conversational – it is relatable. When it is not being used, however, it does not participate in the cognitive process. It also is not capable of “thinking” on its own. It doesn’t change at all and has no ‘awareness’ at all.

Q. Will ChatGPT replace skilled job workers and programmers?

It isn’t easy to imagine that the ChatGPT model can completely replace jobs. Although AI has applications in the workplace and in many sectors, humans will continue to be necessary for training AI models and verifying the accuracy of data. It is possible that it may be able to do certain tasks, such as research and writing, better than humans, but it will still require people for continued development.

R one J Tech

 

 

 

What is ChatGPT, and its possible use cases? Read More »

Is It Safe To Install Third-Party Applications & to click Suspicious Links?

What Happens if You Click on A Suspicious Link?

it can be a phishing page and can store your data like personal information, credit and debit card information

What is a Third-Party Application?

The application which is not downloaded from the right owner or play store 

Should I Avoid Third-Party Apps And Files?

YES! The best way to Protect Your Device From Malware and viruses is not to install any application that is not uploaded on the play store. Play store is a trusted platform that is secure.

If you need any application, install it from the play store, don’t use any cracked software or download from an unauthorized platform.

Hacking is a powerful skill. On the other hand, it is dangerous for those who are not aware of cybercrime or cyber threats. Install Third-Party Applications & click Suspicious Links are dangerous for personal data. 

 

What can be hacked if you install any third-party application?

Manager :

 Files

 Sms 

Contacts 

Calls

Accounts

Apps

-> Monitor :

 Live screen

 Live Camera

 online/offline Keylogger

 Live Microphone 

 Live Location

-> Tools :

 Call Number

 Download/install Apk 

Show Toast 

Get/Set Clipboard 

Open the Link in Browser 

Run Shell

Is It Safe To Install Third-Party Applications & to click Suspicious Links? Read More »

How to Rank website – Website SEO Tips For beginners

Website SEO Tips For beginners 

 

What is the meaning of website SEO?

SEO stands for Search engine optimization, which is the process of improving the visibility of your websites in search engines like Google and Bing.

Website SEO Tips

Google is one of the most powerful search engines in the world. It’s used by millions of people every day to find information about everything from local businesses to high-end fashion brands.

Google ranks websites based on a number of factors including their relevance, authority, and quality. In order to have a successful SEO campaign, you’ll need to understand how Google works and how it determines which pages come up when someone searches for something like “Website SEO Tips.”

If you follow this website’s SEO tips correctly, then your website and blog will be very successful. If you want to know website SEO tips, keep reading this article!

When we talk about SEO, it’s more than just writing an article on a blog that gets loads of views. The quality and strategy play an important role in ranking any blog post or article,

 

Why is SEO important for Websites & Blogs?

Good SEO is the key to a successful website. It can help you get more traffic, more leads, and ultimately more sales. In this article, we are going to learn what is the basic step of good SEO for website & Website SEO Tips.

 

What is the Basic Step of Good SEO for a Website?

1. Keywords

2. H1 & H2 Heading

3. SEO-Friendly URL

4. Internal Linking

5. The number of words on the page should be at least 408

6. Anchor Text

7. Quality of your content

Website SEO Tips

 1. Page Title

Add 9 more characters to your Page Title. Use at least 9 characters.

A good article must have 1 title and make sure that the title contains 2 things I have listed below.

  • About Article 

Before writing any article or Post you should find a nice title for your blog post Let’s say, this post is all about SEO so the Title should be related to SEO, For – Example Website SEO Tips For the beginners – Website SEO 

  • Add your keyword 1 time(s) in your Page Title.

 You should add one keyword in your title and make it relevant to what you’re about to say. That way, when someone clicks on your link and the page opens, they can look at the title and get a general idea of what that page will be about.

What is Keyword on the website? 

Keywords are ideas and topics that outline what your content is about. In terms of SEO, they’re the words and phrases that searchers enter into search engines, Whatever query a user search on google all are keyword For Example Website SEO Tips, is also a keyword. 

2 Page Description

  •  Add 32 characters to your Page Description. Use at least 32 characters.

Adding character count to your description makes it more visible and enticing for people to click it. I’ve noticed that some people truncate their page descriptions, which is a mistake. Especially on the first page, you want to make sure people don’t scroll past your description when they are searching for what they want.

  • Add your keyword 1 time in your Page Description.

Using your keyword 1 time in the page description is a smart way to add relevancy and help people find your page

Add your keyword once in your page description. This makes your pages easier to find and read, which will increase the number of people clicking on your site’s post. As I always say: “The more clicks you get, the more money you make.”

 

 3 Heading (Website SEO Tips)

  • Add 1 H2 / Header 2 tag(s) to your page.
  • Add your keyword 1 time(s) within an H2 / Header 2 tag.
  • Not all H2 tags have the minimum number of words in them. Use at least 1 word in each H2 / Header 2 tag.
  • Add 1 H3-H6 tag(s) to your page.
  • Add your keyword 1 time(s) in your H3-H6 tags.

 

4 Main Content

  • The number of words on the page should be at least 408. The remaining words are 408
  • Keyword density.
  • Add your keyword within the first 50 words of your page.
  • Consider adding your keyword to an ALT tag of an image.
  • Consider adding one or more images to your page
  • Add more b, strong (bold) to your content.
  • must put your keyword 1-time (s) in b, strong (bold) tags.

 

5 Miscellaneous

  • You should Add 1 italic tag(s) to your page.
  •  put your keyword/synonym 1 time(s) in italic tags.

Bonus: if your website is on WordPress, I personally recommend you to use the SEO Yoast plugin, and you are on blogging or another platform so there is no issue you can follow all rules,  and last but not least SEO is not one night stand you have to be patient, it takes time to rank on google. Website SEO Tips.

 

Website Development course

Note:  If you’re interested in learning more about website development from basic to advance check out this course Website development Course I’m a website developer and Digital marketer consultant.

If you’re looking for advanced web development guidance, check out “website Development Course

 

 

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Digital Marketing Course

Digital Marketing Course

“Inspiration is the most important part of our digital strategy.”
Yash aryan
HACKLY

about our company

Giving you IT peace of mind.

This Digital Marketing Certification Course transforms you into a complete digital marketer with expertise in top domains like search engine optimization, social media, pay-per-click, conversion optimization, digital analytics, content, mobile, and email marketing. Become industry-ready learning the latest tools, working on real-world projects, and attending Masterclasses from the Facebook team.

Fundamentals of digital marketing

Content Marketing

Advertising

Website Development

Best Online Courses on Digital Marketing

The digital marketing course bundle has 12 courses covering all major aspects of digital marketing. In particular, it includes the following courses:

Digital marketing basics

Facebook / Instagram Ads

Google Ads

Search engine optimization (SEO)

Keyword research

Content marketing

Email marketing

Google analytics

Social media marketing

eCommerce SEO

Sales Funnels

Paid Advertising

Contact Us now!

“Life is for service.”

Contact us

all you should now

Frequently asked questions

About Digital Marketing Certification

About Digital Marketing Certification

Once you’ve completed this Digital Marketing course, you’ll need to register as a Google Partner. On the Google Partners site, you’ll sign up to take the Google Ads Fundamentals Exam, which consists of 100 multiple choice questions that must be answered within 90 minutes. To pass the exam, you must receive a minimum score of 80%. The certification is valid for 12 months.

The Facebook Blueprint certification program is designed to thoroughly assess advanced-level competency in the skills needed to be a successful Facebook advertiser.

You can choose from any of the two types of Blueprint Certification below:

Facebook Certified Planning Professional Certification which consists of:

  • Facebook Advertising Core Competencies exam
  • Facebook Certified Planning Professional 
     

Facebook Certified Buying Professional Certification which consists of:

  • Facebook Advertising Core Competencies exam
  • Facebook Certified Buying Professional exam
     

You must complete and pass any of the certification exams with a score of 700 or higher in order to receive your digital badge. You’ll have 75 minutes to pass every exam, which includes 50 to 60 questions each. All Facebook Blueprint certifications remain valid for 12 months, with options to maintain your certification status by demonstrating your ongoing proficiency.

You can earn your Google Video Advertising Certification by passing the Google Video Advertising Assessment and the Google Ads Fundamentals Assessment.
Once you earn this certification, you will receive a personalized certificate that you can print from your Academy for Ads profile and showcase your expertise in this subject.

Facebook Blueprint is one of the top and most popular Digital Marketing certifications globally, and proof of advanced-level competency in the digital advertising industry. With this program, you receive a free voucher for taking up the Facebook Blueprint Digital Marketing Associate certification.

A digital marketing specialist is responsible for strategizing and executing various online marketing promotions and campaigns. These can be carried out through any of the digital marketing domains – SEO, SEM, PPC, social media, email, and content. A digital marketing specialist is a marketer who should display a complete understanding of all domains so that he/she can make the right decisions for campaigns to succee

Once you’ve completed the online Digital Marketing course, you’ll need to register on the Google Analytics Academy website. From there, you’ll sign up to take the Google Analytics Qualification Exam, which consists of 70 true/false and multiple-choice questions that must be answered within 90 minutes. To pass the exam, you must receive a minimum score of 80%. The certification is valid for 18 months.

chat with us now !

sales & Suport chat Available 24/7

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Website Development Course

Website Development Course

Course Curriculum

  • Domain
  • Sub-Domain
  • Web Hosting
  • Type Of Hosting
  • Best Hosting ForWordPress
  • DNS And Nameserver
  • GPL License
  • Buy Domain
  • Important Lesson
  • Install WordPress On Your Computer
  • WordPress Backend File
  • Buy Hosting
  • Install WordPress
  • SSL Security Setup
  • Create Subdomain
  • Speed Optimization
  • CDN Setup
  • Create Email Account
  • FTP Account Setup
  • Buy Domain and Hosting
  • Install WordPress
  • Install WordPress With Godaddy Domain
  • SSL Security
  • FTP Account Setup
  • Buy Hosting
  • Setup C-Panel
  • Install WordPress
  • SSL Security
  • Create Sub – Domain
  • FTP Account Setup
  • Maintenance Mode
  • Reset WordPress
  • Website Backup
  • Section Introduction – WordPress Crash Course
  • Install Themes And Plugins
  • Customize Theme
  • Customize Homepage
  • Customize About Us Page
  • Customize Contact Page
  • Customize Manu
  • Create a Blog Post
  • E-Commerce Settings
  • Section Introduction
  • General Settings
  • Home and Blog Page Settings
  • Permalink
  • Dashboard
  • Blog Post
  • Category And Tag
  • Media
  • Page
  • Comments
  • Theme
  • Plugins
  • Menu
  • Widget
  • Users
  • Tools
  • Section Introduction – Section Introduction
  • Elementor Page Designer
  • Elementor Update
  • Page Generator
  • WPBakery Page Designer
  • Install Theme and Related Plugins
  • Theme Customization
  • Remove Powered By WordPress
  • Paid – Install Premium Theme and Plugins
  • Theme Customisation
  • TD Composer
  • SEO Section Introduction
  • Google Keyword Research
  • Keyword Tool [1]
  • Keyword Tool [2]
  • SEO Extensions
  • SEO Plugins
  • SEO Optimized Article
  • Google Analytics
  • Google Search Console
  • Sitemap
  • SEO Audit
  • Redirection
  • Section Introduction – Speed Optimization
  • Website Speed Test
  • Compress Image Photoshop
  • Compress Image Online [1]
  • Compress Image Online [2]
  • Compress Image Online [3]
  • CSS | HTM | Java Optimisation + Catch [1]
  • CSS | HTM | Java Optimisation + Catch [2]
  • CDN Setup
  • Section Introduction – E-Commerce
  • Woocommrece Installation
  • Woocommrece – Page Setup
  • Add Simple Product
  • Add Variable Product
  • Add Group Product
  • Add External Product
  • Add Downloadable Product
  • Upsell – Cross Sell
  • Shipping Methods and Costs
  • Payment Gateway Setup
  • Best Free Theme Installation
  • Sign In – Sign Up Settings
  • Discount Coupons
  • Checkout Filed Editor
  • Add To Cart URL
  • Test Site As A User
  • Email Setup
  •  
  • Section Introduction – E-Learning
  • Install Theme And Related Plugins
  • Theme Customization
  • Create Course
  • Create Quiz
  • Payment Setup
  • Email Setup
  • Premium Theme [1]
  • Course Certificate
  • Course Reviews
  • Premium Theme [2]
  • Section Introduction – Printing Website
  • Install Theme and Related Plugins
  • Create Product Base
  • Publish Product
  • Customisable Product Template
  • Package and Pricing Setup
  • Plugin Core Option Setup
  • Facebook Ads Introduction
  • Create Facebook Page
  • Create Facebook Ads Account
  • Create Saved Audience
  • Facebook Pixel Setup
  • Custom or Target Audience
  • Create Ads
  • Email Marketing Introduction
  • Create Email Marketing Account
  • Setup Email Marketing
  • Create Email Camping
  • WebApp Source Code
  • Android Studio Setup
  • Customize Package Name
  • Customize App Name and Icon
  • Setup Website
  • Remove Toolbar And Navigation
  • Sign APK
  • Console Registration
  • Publish Your App On Google Play
  • Universal Website Migration
  • Siteground Migration
  • Increase Upload Limits
  • Diagnose the problem

What You will get

You will able to make website like ...

On Demand Website

E-Commerce

Pickup & Delivery

Education & Learning

Blogging

Business

Healthcare & Medical

Real Estate

Banking & Finance

Need Help

FREQUENTLY ASKED QUESTION

If you want to buy or enroll in Ahackerzone course, just click on enroll now button given on the top or bottom and follow checkout process. You don’t have to create account first. just fill your information on checkout page and click on place order. Next complete your payment and you are done. 

All Indian Payment option like Credit Card/ Debit Card, Netbanking, UPI, Google Pay and Phone Pay is available. For International Payment please contact us via live chat or WhatsApp.

After successful payment you will instant receive 2-3 mail with all the information about course and account. or you can just visit https://ronejtech.com/my-courses and login with your email and password that you have created on checkout page. There you will find all your enrolled courses, just click on course name and continue to course.

Yes you can access your course in any device, just visit ronejtech.com. Our app is under development, good news coming soon.

Yes you can watch as many times as you want. you have lifetime access without any limitation 

You will receive certificate when you finish the course completely. you will be able to download your certificate  form my My Course  certificate section 

For Any Course related doubts you can reach support team through WhatsApp number given inside course support lesson. 

+91-( 9581151578 )

( Course Related Enquiry And Support ) – Message Only

Support@Ronejtech.com

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Disclaimers for R one j Tech

All the information on this website – https://ronejtech.com/ – is published in good faith and for general information purpose only. R one j Tech does not make any warranties about the completeness, reliability and accuracy of this information. Any action you take upon the information you find on this website (R one j Tech), is strictly at your own risk. R one j Tech will not be liable for any losses and/or damages in connection with the use of our website.

From our website, you can visit other websites by following hyperlinks to such external sites. While we strive to provide only quality links to useful and ethical websites, we have no control over the content and nature of these sites. These links to other websites do not imply a recommendation for all the content found on these sites. Site owners and content may change without notice and may occur before we have the opportunity to remove a link which may have gone ‘bad’.

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