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Master GitHub Copilot, Cursor AI, RAG Workflows, and More

AI Powered Software Development

Apply Modern AI Tools Across Every Stage of the Development Process

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AI Powered Software Development
  • 450K+
    Career Transformations
  • 250+
    Workshops Every Month
  • 100+
    Countries

AI Powered Software Developer Course Highlights

Course Highlights

16 Hours of Comprehensive AI-Powered Development Training


25+ Hands-On, AI Coding Exercises


4 Project Solutions for Practical Learning


100 Prompts for the Developers' Daily Use

16 Professional Development Units (PDUs)


Hands-On Real-World Capstone Project

Be at the forefront of change by getting the most out of AI in software development. This 16-hour program is designed to empower software developers with practical skills in wielding advanced AI tools and techniques that will significantly transform their scope, efficiency, and productivity.

In this course you will learn to use GitHub Copilot, Cursor AI, and RAG workflows to streamline coding, debugging, and testing processes. Optimize AI-generated code, automate repetitive tasks, and improve software development workflows with cutting-edge AI tools. Leverage AI in software engineering, from automating DevOps tasks to using RAG workflows for intelligent information retrieval and bug diagnosis. Identify and resolve coding issues faster using AI-assisted debugging and LangChain-powered search tools. Most importantly you will become well-equipped to integrate AI into your workflows, improve productivity, and future-proof your career in an AI-first engineering landscape.

Here's a summary of what our AI Powered Software Development course offers:

  1. Most Comprehensive AI-Powered Development Course – The only course covering GitHub Copilot, Cursor AI, LangChain, LangSmith, and RAG Workflows for AI-assisted software development.
  2. Hands-On, Real-World AI Coding Challenges – Features 25+ hands-on exercises and 4 project solutions, ensuring practical, applied learning.
  3. Get access to 100 prompts designed for developers to use in their daily activities to upgrade your development.
  4. Gain 16 Professional Development Units (PDUs) to add to your continual learning journey.
  5. Master AI-Powered Pair Programming & Debugging – Gain expertise in Cursor AI for real-time code collaboration, error handling, and AI-assisted refactoring.
  6. AI-Driven DevOps & CI/CD Automation – Learn how to automate deployments, infrastructure, and DevOps processes using GitHub Copilot.
  7. Build AI-Driven RAG Applications – Work on use cases like AI-powered code search, intelligent bug resolution, and test case generation using LangChain.
  8. LangSmith for AI-Powered Debugging & Optimization – Master evaluation, tracing, and debugging AI workflows to improve AI-assisted coding efficiency.
  9. Industry-Relevant Use Cases & Capstone Project – Develop AI-powered software solutions, automation tools, and chatbot applications to enhance developer productivity.
  10. Future-Proof Your Software Development Career – Equip yourself with the latest AI-assisted development skills in AI-enhanced coding, DevOps automation, and AI-driven debugging to stay ahead in the industry.

Don't let the AI revolution pass you by – elevate your Scrum Master skills and become an indispensable asset to your organization. Enroll now and transform the way you lead Agile teams!

Demand for Software Engineers

Software Development Skills Are Highly Sought-After
Annual Salary
Min
Average
Max
Hiring Companies
Bank of America
Coca Cola
FedEx
Cisco
Accenture
Allianz
Demand
28.7 Million
Software Developers by the end of 2024

AI is having a tremendous impact across all industries. Software development is one of the disciplines where the impact is transforming the landscape. AI is being used and being tested at every stage of the software development process. Software developers who know how to leverage AI have a definite competitive edge in the job market.

Coding tasks can be completed around 55% faster with AI tools like GitHub Copilot. Developers have realized this and are using AI extensively. A GitHub survey revealed that 92% of developers in US were using AI. 81% of developers believe that using AI coding tools will boost collaboration within the team and organization. Using AI tools:

  • Develops coding skills
  • Increases productivity
  • Increases speed of delivery
  • Eliminates repetitive tasks
  • Prevents burnout

The contribution of AI tools is estimated to boost the boost the Global GDP by $1.5 Trillion in the next five years. There is a growing demand for skilled software developers across industries. The ability to use AI tools and get the best out of them will make you a very attractive candidate for employers in the leading global organizations.

Why KnowledgeHut For AI-Powered Software Development

The KnowledgeHut Advantage

Comprehensive Curriculum

Learn in-depth every aspect of AI-powered development in this course.

Real-World Challenges

Learn development using AI with over 25 exercises that are based on practical learning.

Interactive Experience

Engage with peers and instructors through forums and discussion boards.

Practical Use Cases

Analyze and learn from real-world projects that prove your real-world capability in using AI.

Capstone Project

Develop AI-powered software solutions, automation tools, and chatbots to drive productivity.

Cutting-Edge Tools

Get hands-on experience with leading AI tools to enhance and improve software development.

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AI-Powered Software Development Curriculum

Curriculum

1. Mastering GitHub Copilot

Learn to leverage the various features of GitHub Copilot in software development

2. Cursor AI for AI Pair Programming

Learn how to get the best out of Cursor AI

3. RAG Workflows for Developers

Learn the use of RAG in software development.

4. LangSmith: Evaluating and Optimizing RAG Workflows

Learn how to use Langsmith as a powerful platform for development.

5. Best Practices, Ethical Considerations, and Future Trends

Learn the best practices in AI-powered development, understand how to use AI in an ethical and responsible manner.

6. Capstone Project: AI-Assisted Software Development Challenge - Hands-on (Optional)

Get a chance to put your learning into practice in this real-world project.

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What You Will Learn in AI-Powered Software Development

Learning Objectives
1
GitHub Copilot for Code Assistance

Learn to generate, refactor, and debug code efficiently using Copilot’s AI-powered coding suggestions.

2
AI-Assisted Pair Programming

Improve team collaboration and coding efficiency with Cursor AI's intelligent code recommendations.

3
Automate DevOps and CI/CD Pipelines

Use GitHub Copilot to write and optimize CI/CD configurations, Dockerfiles, and infrastructure automation scripts.

4
Implement RAG Workflows

Leverage LangChain and vector databases to automate code search, documentation retrieval, and bug diagnosis.

5
Test Case Generation and Debugging

Automate unit test creation, error log analysis, and debugging processes with AI-enhanced workflows.

6
Tech Support and Documentation Tools

Create automated support chatbots and intelligent documentation retrieval systems for developer efficiency.

Prerequisites for AI-Powered Software Development Training

Prerequisites and Eligibility
  • Basic Programming Knowledge and Familiarity with Python
  • Fundamental Understanding of Software Development
  • Experience with Code Reviews & Debugging
  • Familiarity with DevOps & Automation Concepts (Optional)
  • Interest in AI-Assisted Development
Prerequisites and Eligibility

Who can attend the AI-Powered Software Development Course

Who This Course Is For
  • Software Developers
  • Software Engineers
  • AI-Assisted Coders
  • Machine Learning Practitioners
  • DevOps Engineers
  • Cloud Professionals
  • Tech Leads
  • Engineering Managers
  • AI Enthusiasts
  • Data Engineers
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AI-Powered Software Development Course FAQs

Frequently Asked Questions
AI-Powered Software Development Course

1. What is AI-Powered Software Development and who should get it?

AI-Powered Software Development is a course meant for software developers who want to improve their skills and leverage AI to develop better software at a faster rate and collaborate better with other developers. While professionals from many tech related disciplines are eligible for this course, the most frequent background of people who pursue this course are:

  • Software Developers & Engineers – Looking to integrate AI-powered coding tools to enhance efficiency and accuracy in development workflows. 
  • AI-Assisted Coders & Machine Learning Practitioners – Interested in leveraging GitHub Copilot, Cursor AI, and RAG workflows to optimize their AI-driven coding practices. 
  • DevOps Engineers & Cloud Professionals – Exploring AI-powered automation for CI/CD pipeline configurations, Dockerfile generation, and error resolution in cloud-native applications. 
  • Tech Leads & Engineering Managers – Seeking strategies to enhance team productivity by implementing AI-driven development best practices. 
  • AI Enthusiasts & Data Engineers – Looking to deepen their understanding of RAG workflows, LangChain, and intelligent search automation in AI-powered software solutions. 

Whether you're a seasoned developer looking to enhance your productivity with AI-assisted coding or a tech professional exploring the latest advancements in AI-powered development, this course provides the skills, tools, and real-world applications needed to stay ahead in an AI-driven engineering landscape.

2. How good are the trainers at upGrad KnowledgeHut?

At upGrad KnowledgeHut, we pride ourselves on having some of the best trainers in the industry. Our trainers are not just experts in their respective fields but also have extensive experience of working in software development with the latest AI tools. Our trainers come with hands-on experience of working on complex development projects for some of the leading global organizations.

3. What are the prerequisites for AI-Powered Software Development Training?

To ensure participants gain maximum value from this course, the following prerequisites are recommended: 

  • Basic Programming Knowledge – Familiarity with Python is required, as most hands-on exercises and demonstrations will involve Python-based AI integrations. 
  • Fundamental Understanding of Software Development – A working knowledge of version control (Git, GitHub), IDEs (VS Code, JetBrains, etc.), and software development workflows will be beneficial. 
  • Experience with Code Reviews & Debugging – Basic experience in debugging, writing test cases, and refining code quality will help learners fully utilize AI-powered tools. 
  • Familiarity with DevOps & Automation Concepts (Optional) – While not mandatory, prior exposure to CI/CD pipelines, Docker, and cloud-based development can enhance the learning experience, particularly in Module 1.4 (Copilot for DevOps) and Module 3 (RAG Workflows for Developers). 
  • Interest in AI-Assisted Development – Learners should have a keen interest in exploring how AI-powered coding assistants and intelligent automation tools can improve developer efficiency and software quality. 

This course is structured to accommodate developers at various levels, ensuring that even those with foundational programming skills can benefit from AI-assisted software development practices. 

4. Can I get a job after the AI-Powered Software Development course with no previous experience?

This course is suited for developers with some experience, if you are totally new to software development you will not be able to fully benefit from this course. You should practice software development, earn experience and then you can benefit from this course by upgrading your skills and increasing your efficiency and scope.

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AI Projects for Software Development

Build a Stellar Project Portfolio
Bridge the gap between theory and practice by developing real-world projects that showcase AI-powered software development in action. These hands-on projects will strengthen your understanding of AI-Tools while driving your collaborative skills and efficiency.
Copilot-Enhanced To-Do List in React & Node.js
Copilot-Enhanced To-Do List in React & Node.js

Copilot-Enhanced To-Do List in React & Node.js

This project guides learners—starting from zero knowledge—through building a full-stack To-Do List application using React for the front end and Node.js with Express for the back end. GitHub Copilot is leveraged at each step to provide code suggestions and accelerate development.
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GitHub Copilot
VS Code
React
Node JS
Cursor-Enhanced Python Streamlit MySQL Application
Cursor-Enhanced Python Streamlit MySQL Application

Cursor-Enhanced Python Streamlit MySQL Application

This project guides learners through building a simple Python application for Expense Tracking that combines Streamlit for an interactive UI with a MySQL database for data storage. With Cursor AI as your pair programming partner, you'll build the application step by step—from setting up your environment and database to deploying the final interactive dashboard.
Read More
GitHub Copilot
VS Code
Python
Streamlit
MySQL
Intelligent Documentation & Bug-Fixing Agent
Intelligent Documentation & Bug-Fixing Agent

Intelligent Documentation & Bug-Fixing Agent

Create an agent that uses Retrieval-Augmented Generation (RAG) to scan large codebases and documentation. This tool will help developers quickly locate API references, identify bugs from error logs, and even propose fixes based on historical data. It’s an excellent project to understand how Langchain and vector databases can transform traditional code search and debugging processes.
Read More
Langchain
vector database - Chroma
Python
AI-Driven Developer Support Chatbot
AI-Driven Developer Support Chatbot

AI-Driven Developer Support Chatbot

Design a chatbot tailored for technical support that can answer developer queries, offer code snippets, and troubleshoot common issues. This project involves integrating Langchain to handle natural language understanding and using LangSmith to evaluate and optimize the response quality. It’s a comprehensive challenge that ties together multiple course components into a practical, user-facing application.
Read More
Langchain
LangSmith
vector database - Chroma/FAISS
Python