Generative AI Course for Developers with Certifications

Become a super productive developer by leveraging the capabilities of Generative AI

  • Master GitHub Copilot, TabNine, ChatGPT, and other tools to boost coding efficiency and quality
  • Apply AI skills to real-world projects through case studies for practical, job-ready experience
  • Stand out by becoming a 10x developer with AI proficiency, enhancing your career prospects
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  • 450,000 + Professionals trained
  • 250 + Workshops every month
  • 100 + Countries and counting

Master AI-Powered Software Development

Are you ready to accelerate your career in the ever-evolving technology landscape? With millions of developers worldwide, staying ahead of the curve and positioning yourself as a 10x Developer with expertise in AI-driven software development is a great advantage. This course, designed by KnowledgeHut, will supercharge you with cutting-edge AI skills and tools crucial for writing clean, efficient, and readable code confidently while focusing on more creative and complex work by automating repetitive tasks.

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  • 20 Hours of Live Instructor-Led Sessions 

  • 25 Industry Case Studies 

  • Live Q&A and Doubt Resolution Sessions 

  • Interactive Learning Environment 

  • Comprehensive Modules on Leading AI Tools 

  • Expertise in Prompt Engineering with ChatGPT 

  • AWS CodeWhisperer Enhanced Code Security Training

  • Introduction to AI-Powered IDE, 

  • Skill Enhancement for Modern Developers 

  • Future-Ready Skills and Knowledge 

  • Comprehensive Job Support  

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The KnowledgeHut Edge

Learn by Doing

We believe that the best way to acquire a skill is by practicing it and have adopted a project-based, immersive learning approach.

Real-World Focus

We ensure that your skills are relevant to the real world by including actual business case studies and exercises. Skill up and get productive from the get-go.  

Industry Experts

Our trainers are experienced industry professionals with considerable experience, making them ideally placed to educate you on the best practices across industries.  

Curriculum Designed by the Best

Our courses follow Microsoft’s prescribed curriculum and are taught by top-notch trainers with Software Development experience.  

Continued Learning Support

We are committed to a delightful learning experience and have webinars, e-books, tutorials, articles, and interview questions to help you land your dream job.  

Exclusive Post-Training Sessions

We will be with you until you feel ready. We extend six months of post-certification mentoring to overcome challenges in your career.  

prerequisites for 10x Software Development Course


  • Intermediate-level experience in programming
  • Familiarity with GitHub and version control systems
  • A machine set up with Microsoft VSCode 
  • A GitHub Copilot account (Paid) 
  • TabNine enterprise self-hosting (more details here)
  • AWS Builder account for AWS CodeWhisperer (Paid after initial free tier) 
  • A ChatGPT Account (Paid) 
  • OpenAI API Account (Paid)

Who Should Attend

Emerging Tech Enthusiasts

Veteran Software Developers

Freelance Innovators

Career Trailblazers Transitioning into Tech

Tech Bloggers and Content Creators

AI Aficionados


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What You Will Learn

10x Software Development

Understand the principles and strategies behind 10x software development and its relevance in the tech industry.

GitHub Copilot

Gain expertise in GitHub Copilot, an AI-powered code completion assistant, to enhance coding efficiency and precision. 


Learn to use TabNine, a tool known for increasing coding speed by up to 50%, and streamline your development processes.

Prompt Engineering with ChatGPT

Harness ChatGPT and GPT-3's potential to become an expert in prompt engineering, saving hundreds of work hours. 

Code Security

Explore tools like AWS CodeWhisperer and to improve code security and protect projects and data.

Increased Productivity

Optimize work processes, boost personal productivity, and become a standout contributor in your team. 


Duration: 3 Hours

Learning Objective: Learn the fundamentals of 10x software development, explore the role of AI, and understand the benefits and risks. Dive into real-world case studies of AI in software development 

  • What is 10x Software Development?
  • Individual Productivity Variation in Software Development - A Study on Programming Productivity.
  • Roadmap to Becoming a Super-Efficient Software Developer
  • The Rise of AI in Software Development
  • Role of Generative AI in Achieving 10x Goals
  • Overview of Key AI Tools for Software Development
  • Benefits of Combining AI and Human Skills
  • Potential Risks of Using AI in Software Development
  • Case Study - Use Cases of Generative AI in Software Development

Duration: 1 Hour

Learning Objective: Discover GitHub Copilot, set it up, and explore its functionalities while addressing privacy and efficiency concerns. 

  • What is GitHub Copilot? 
  • The Copilot Ecosystem - Copilot Labs and Chat 
  • What Can You Do with GitHub Copilot? 
  • Signing Up, Installing, and Setting up Copilot Extensions in VSCode 
  • Working with Code Suggestions - Basic Workflow 
  • Privacy and Efficiency Concerns 

Duration: 5 Hours

Learning Objective: Boost your developer productivity with GitHub Copilot through various case studies, covering coding, testing, debugging, and more. 

  • Using a Case Study-Based Approach to 10x Your Developer Productivity
  • Answering Coding Questions Using Chat
  • Case Study - Using Comments to Steer C-Pilot and Generate Code Suggestions and Quto-Completion.
  • Case Study - Code Translation - Converting Java Code to Python
  • Case Study - Code Refactoring - Adding Types and Code Cleanup
  • Case Study - Code Generation - Building a React Application
  • Case Study - Code Generation - Generating CSS Styles for a React Component
  • Case Study - Code Generation - Prototyping an API Using Node.js and Express
  • Case Study - Code Generation - Prototyping an API Using Spring Boot
  • Case Study - Query Generation - Writing SQL Queries
  • Case Study - Test Generation - Writing Unit Test Cases
  • Case Study - Test Generation - Writing E2E Test Cases
  • Case Study - Debugging - Debugging and Fixing Code
  • Case Study - Enhancing Code Readability and Simplifying Code
  • Case Study - Documentation - Generating Documentation for a Python Script
  • Using the Custom Brush

Duration: 1 Hours

Learning Objective: See how GitHub Copilot can enhance DevOps workflows with case studies on Docker, Kubernetes, GitHub Actions, and AWS.

  • Using GitHub Copilot for DevOps
  • Case Study - Building Dockerfiles and Compose Configurations
  • Case Study - Produce Kubernetes YAML Templates for Deploying Apps
  • Case Study - Develop GitHub Actions
  • Case Study - Write AWS CloudWatch Configuration to Collect Logs from AWS EC2

Duration: 3 Hours

Learning Objective: See how GitHub Copilot can enhance DevOps workflows with case studies on Docker, Kubernetes, GitHub Actions, and AWS.

  • Introduction to TabNine
  • Core Feature Set
  • Using TabNine for Automatic Code Generation
  • TabNine Enterprise - An Introduction
  • Public vs. Private Code
  • Setting Up TabNine Enterprise - Pricing and Hosting
  • Context-Aware Code Completions
  • Securely Connecting Your Codebases for Training the Model
  • Usage Conventions
  • Governance Considerations - IP, Data Privacy, Security
  • Case Study - Advanced TabNine Features

Duration: 5 Hours

Learning Objective: Master prompt engineering with ChatGPT, including persona design, constraint definition, and various case studies, from code generation to error debugging.

  • Introduction to ChatGPT
  • Introduction to Prompt Engineering
  • An Overview of Available Models (GPT-3.5 vs. GPT-4)
  • Designing a Prompt - The Process and Workflow
  • Defining Personas and Roles
  • Case Study: Generating RFPs for Software Projects.
  • Case Study: Learning Algorithms with ChatGPT.
  • Avoiding Prompt Injections Using Delimiters
  • Defining Constraints
  • Zero-Shot Learning
  • Few-Shot Learning.
  • Case Study: Code Translation and Generation
  • Case Study: Code Review and Analysis
  • Case Study: Pseudocode Generation from Code and Vice Versa
  • Case Study: Error message Decoding and Debugging.
  • Case Study: Code Refactoring Suggestions
  • Structured Responses - Generating JSON or YAML content.
  • Popular Prompt Patterns and Examples
  • Case Study: Generating New Application Ideas and Quick Prototyping

Duration: 1 Hours

Learning Objective: Understand AWS CodeWhisperer, integrate it into your IDE, and use it for code completion and security enhancements with practical examples.

  • What is AWS CodeWhisperer?
  • Integrating CodeWhisperer into IDEs such as VSCode
  • Code Completion Using CodeWhisperer Using Comments
  • Enhancing Code Security and Vulnerabilities
  • Case Study: Building a Flask API Using Code Whisperer
  • Case Study: Running a Security Scan

Duration: 1 Hour

Learning Objective: Learn about, its installation, capabilities, and configuration. Explore case studies, from rapid app development to code testing and debugging.

  • Introduction to
  • Installing
  • Pricing and Capabilities
  • Signing Up for an OpenAI API Key and Configuring Cursor
  • Case Study: Building a React Application Quickly
  • Case Study: Generating Styles for an Existing React Component
  • Case Study: Debug Code
  • Case Study: Generate Test Cases
  • Case Study: Chat with Your Codebase

Frequently Asked Questions

10x Software Development Course

This course is designed for both aspiring and experienced software developers who want to supercharge their careers and become 10x developers by harnessing the power of generative AI. It's ideal for those who seek to stay at the forefront of the tech industry and are passionate about boosting coding efficiency, quality, and security using cutting-edge AI tools. 

In today's tech-driven landscape, staying competitive demands innovation and efficiency. Our 10x Software Development Course leverages AI and cutting-edge tools like GitHub Copilot, TabNine, ChatGPT, AWS CodeWhisperer, and to empower developers with the skills to code faster, more accurately, and securely. This course equips you with the expertise to harness AI's full potential, elevating your career and enabling you to meet the demands of the rapidly evolving software development industry. 

Upon completing this course, you will gain a comprehensive set of practical skills, including:

  • Proficiency in leveraging AI tools like GitHub Copilot, TabNine, and ChatGPT to boost coding efficiency.
  • Expertise in prompt engineering, enabling you to harness AI models for various automation tasks.
  • Enhanced code security skills using AWS CodeWhisperer and
  • Real-world application through hands-on case studies in software development.
  • Knowledge of DevOps practices with GitHub Copilot for streamlined development.
  • Experience in building Dockerfiles, Kubernetes YAML templates, and GitHub Actions.
  • Advanced features of TabNine for code generation.
  • Skills in generating documentation, translating code, debugging, and refactoring.
  • Secure code completion using CodeWhisperer.
  • Proficiency in using, including rapid application development, style generation, debugging, and test case generation.

Successful completion of this program would equip learners with the skills and knowledge to pursue the following job roles:

  • Software Developer: Become an adept developer, proficient in leveraging AI tools for efficient coding and problem-solving.
  • DevOps Engineer: Master DevOps practices with GitHub Copilot for streamlined development and code security.
  • AI Developer: Learn to integrate AI models like TabNine and ChatGPT into various automation tasks.
  • Cloud Engineer: Understand AWS CodeWhisperer for enhancing cloud-based code security and reliability.
  • AI Product Manager: Learn to oversee and manage AI-driven projects, ensuring their successful development and deployment.
  • Technical Lead: Acquire leadership skills in software development, guiding teams toward efficient and secure code practices.
  • Software Architect: Gain insights into AI-powered software design and architecture for cutting-edge solutions.
  • Quality Assurance Engineer: Enhance code testing and security skills for comprehensive quality control.
  • IT Consultant: Offer consulting services to organizations seeking to optimize their tech processes.

These diverse job opportunities reflect the course's broad scope and its relevance in various technology-driven roles across industries.

Yes, we have planned our program in such a way that even if you have a full-time job, you would be able to attend classes and complete all the course requirements. 

The following are the minimum requirements you will need to attend this bootcamp.

Software Requirements  

A web browser such as Google Chrome, Microsoft Edge Opera, Safari, or Firefox. 

Hardware Requirements  

Any workstation or laptop with Internet access, with at least 8GB of RAM. Please also refer to our prerequisites to know what more you need to enroll in this course. 

The following are the prerequisites for getting the best out of this course: 

  • Intermediate-level experience in programming 
  • Familiarity with GitHub and version control systems 
  • A machine set up with Microsoft VSCode  
  • A GitHub Copilot account (Paid)  
  • TabNine enterprise self-hosting (more details here
  • AWS Builder account for AWS CodeWhisperer (Paid after initial free tier)  
  • A ChatGPT Account (Paid)  
  • OpenAI API Account (Paid) 

This program features live instructor-led training spanning a total duration of 20 hours. 

Course Content and Structure

Throughout this course, you will delve into a comprehensive curriculum that includes mastering AI-powered coding tools like GitHub Copilot, TabNine, and ChatGPT. You'll learn prompt engineering with GPT-3, enhance code security with AWS CodeWhisperer, and explore the capabilities of AI-powered IDE and The course also emphasizes practical, real-world application through 25 case studies, covering areas such as code translation, code generation, debugging, documentation, and more. 

Absolutely, this course includes 25 practical case studies to give you hands-on experience in applying AI tools to real-world software development tasks. These case studies cover a range of topics, including code translation, generation, debugging, and documentation. This practical experience is essential for mastering AI tools and preparing for real software development projects. 

Technical Requirements

Yes. To fully participate in this course, you will need access to specific software and tools, some of which may require a paid subscription. These include Microsoft VSCode, a GitHub Copilot account, TabNine enterprise for self-hosting, an AWS Builder account for AWS CodeWhisperer (which may require payment after the initial free tier), a ChatGPT account, and an OpenAI API account. Please ensure you have these tools and accounts ready before the course begins to get the most out of your learning experience. 

Setting up the necessary accounts and tools can be done by following these steps: 

  • Microsoft VSCode: Download and install Microsoft VSCode from the official website. 
  • GitHub Copilot: Sign up for a GitHub Copilot account and follow the setup instructions provided by GitHub. 
  • TabNine Enterprise: Refer to the documentation at for system requirements and setup instructions. 
  • AWS Builder Account: Sign up for an AWS Builder account on the AWS website and follow the account setup process. 
  • ChatGPT Account: Create an account for ChatGPT if required, following the registration process on the platform hosting ChatGPT. 
  • OpenAI API Account: Sign up for an OpenAI API account on the OpenAI website and follow the account setup process, including payment if necessary. 

Having these accounts and tools configured before starting the course will ensure a smoother learning experience. 

On Course Completion

Upon completing this course, you will gain mastery over AI-driven software development, making you a standout 10x developer in the industry. You'll be equipped with the skills to boost coding efficiency, write high-quality code, and enhance code security using state-of-the-art AI tools. The practical experience gained from 25 case studies will prepare you for real-world projects, and you'll have the confidence to tackle complex coding challenges. Additionally, you'll receive job support and a LinkedIn review, positioning you for career growth and opportunities in the rapidly evolving tech landscape. 

Yes. Upon course completion, you will receive a certificate from KnowledgeHut, signifying that you have completed all course requirements successfully. It is also a mark of all the skills you've gained to make you a sought-after 10x Software Developer. 

What Learners Are Saying

Ananya Singh Software Tester

KnowledgeHut's Agile Excellence Master's Program exceeded my expectations. The comprehensive courses and certifications opened up new career opportunities for me. I highly recommend this program for professionals looking to advance their Agile careers.

Attended Agile Excellence Masters Program workshop in June 2023

Luca Rossi Key Account Manager

Thorough and well-structured Azure data engineering training. It's perfect for beginners as well as for experienced professionals seeking to enhance their cloud data skills. Thank You KnowledgeHut. 

Attended Azure Data Engineer Master's Program workshop in June 2023

Rosabelle Artuso .NET Developer

The course which I took from Knowledgehut was very useful and helped me to achieve my goal. The course was designed with advanced concepts and the tasks during the course given by the trainer helped me to step up in my career. I loved the way the technical and sales team handled everything. The course I took is worth the money.

Attended PMP® Certification workshop in August 2020

Yancey Rosenkrantz Senior Network System Administrator

The customer support was very interactive. The trainer took a very practical oriented session which is supporting me in my daily work. I learned many things in that session. Because of these training sessions, I would be able to sit for the exam with confidence.

Attended Agile and Scrum workshop in April 2020

Astrid Corduas Telecommunications Specialist

The instructor was very knowledgeable, the course was structured very well. I would like to sincerely thank the customer support team for extending their support at every step. They were always ready to help and smoothed out the whole process.

Attended Agile and Scrum workshop in June 2020

Ike Cabilio Web Developer.

I would like to extend my appreciation for the support given throughout the training. My trainer was very knowledgeable and I liked his practical way of teaching. The hands-on sessions helped us understand the concepts thoroughly. Thanks to Knowledgehut.

Attended Certified ScrumMaster (CSM)® workshop in June 2020

Hillie Takata Senior Systems Software Enginee

The course material was designed very well. It was one of the best workshops I have ever attended in my career. Knowledgehut is a great place to learn new skills. The certificate I received after my course helped me get a great job offer. The training session was really worth investing.

Attended Agile and Scrum workshop in August 2020

Tilly Grigoletto Solutions Architect.

I really enjoyed the training session and am extremely satisfied. All my doubts on the topics were cleared with live examples. KnowledgeHut has got the best trainers in the education industry. Overall the session was a great experience.

Attended Agile and Scrum workshop in February 2020