GenAI for Full Stack Developers: Maximize Coding Efficiency with Windsurf and Cursor AI

Instructor: Shyam Prakash Co-founder & CTO - Whatifics

Course Fees: ₹30,000/-

Enroll Now

Starting On:
July 1, 2025

Format:

Online

Language:

English

Duration:

10 hours + 2 hours of Mini Project

Certificate:

Digital Copy

Audience:

Software Developers

Course Overview

Generative AI is transforming the way software is designed, developed, and deployed. This course equips software developers with the skills and tools needed to significantly boost productivity using AI across the development lifecycle. Through a mix of theory, demonstrations, and hands-on labs, participants will learn how to integrate AI into code generation, testing, debugging, documentation, database design, and more.

Learners will explore tools like GitHub Copilot, ChatGPT, Windsurf, Cursor AI, and Azure Copilot, and apply them to real-world scenarios. The course culminates in a capstone project where participants design and implement a full-stack software feature using AI—from prompt to production.

Whether you're building from scratch or working with legacy systems, this course will help you unlock efficiency, improve code quality, and stay ahead in a rapidly evolving tech landscape.

What You'll Learn

This hands-on course is designed to help software developers harness the power of Generative AI to boost productivity across the software development lifecycle. You will:

Understand the fundamentals and impact of Generative AI in development.
Master prompt engineering to interact effectively with AI tools.
Explore and use AI-powered tools like GitHub Copilot, ChatGPT, Cursor AI, Windsurf, and Azure Copilot.
Generate and integrate code, unit tests, documentation, and database schemas using AI.
Apply AI for debugging, refactoring, and reverse engineering legacy codebases.
Build full-stack features using AI, from UI to backend, with hands-on projects.
Learn the ethical implications, limitations, and best practices in AI-assisted development.

Why Enroll in this Course?

Future-Proof Your Skills: Stay ahead with cutting-edge AI capabilities transforming the developer landscape.

Highly Practical: Includes IDE setup, real-time prompt labs, and a capstone project simulating real-world scenarios

Tool-Agnostic & Industry-Relevant: Covers a wide array of current tools like Copilot, ChatGPT, Gemini,Cursor,and more.

Career Boosting: Add in-demand AI automation skills to your resume.

Certificate of Completion: Demonstrate your applied understanding and practical competence in GenAI-assisted development.

Course Syllabus

Introduction to Generative AI

What is generative AI? How does it differ from traditional AI?

Overview of LLMs (Large Language Models) and their role in software development

Real-world applications and productivity impact

Prompt Engineering & Best Practices

Fundamentals of prompt engineering

Crafting effective prompts for coding, testing, and documentation

Iterative prompt refinement and troubleshooting

Generative AI Tools Overview

Introduction to Windsurf, Cursor AI, GitHub Copilot, ChatGPT, Azure Copilot, Google Gemini, IBM watsonx

Installation, configuration, and integration into IDEs (Windsurf, VS Code, IntelliJ, etc.)

Code Generation with AI

Using Copilots and LLMs for code scaffolding and feature implementation

Pair programming with AI: best practices and collaboration

Handling suggestions, code review, and customization

Unit Test Generation & Automation

Automatic test case generation for Python, JavaScript, Java, C#

Integrating AI-generated tests into CI/CD pipelines

Security and ethics in AI-generated testing

Frontend & Backend Development with AI

Using AI tools for UI component generation (React, Angular, etc.)

Backend logic, API endpoints, and microservices with AI assistance

End-to-end feature prototyping

AI-Assisted Documentation

Generating and maintaining code documentation

Creating technical documentation, READMEs, and API docs with AI

Database Design with Generative AI

Schema generation and migration scripts

Query optimization and code generation for database access layers6

Debugging & Refactoring using AI

Identifying bugs and vulnerabilities with AI

Refactoring legacy code for performance, readability, and maintainability

Code review automation

Ethics, Limitations, and Best Practices

Responsible AI usage, code originality, and licensing

Addressing bias, hallucination, and security risks

Mini project & Assessment

Real-world project: Apply generative AI to a full-stack feature, including code, tests, documentation, and database design

Peer review and feedback

Final assessment and certification

Instructor Profile

Shyam Prakash

Shyam Prakash brings over 20 years of comprehensive product engineering experience to AI-assisted coding training, with deep expertise spanning the entire product lifecycle from conception to delivery. As a seasoned full-stack developer proficient in modern technologies, he has successfully led development teams and delivered applications serving thousands of active users across multiple startups and enterprises. His leadership journey includes co-founding and serving as CTO of Whatifics, scaling engineering teams at NDS Pay TV Technology, and driving agile transformations at Cisco Video Technologies. Having spent the past year actively practicing and refining AI-assisted coding workflows, Shyam combines his extensive hands-on development experience with practical insights into how AI tools can enhance engineering productivity, making him uniquely positioned to guide engineers in adopting and mastering AI-powered development practices.

Testimonials

Real stories from developers who upskilled, built projects, and advanced their careers with
GenAInstein Student Internship Program.

The course helped me truly understand how to work with LLMs and build GenAI apps from scratch. The hands-on projects and mentorship gave me the confidence to apply these skills at work.

Rahul M.

Software Engineer

As a student, I was overwhelmed by all the AI hype. GenAInstein's course broke it down clearly and helped me build actual working apps. I even added one to my portfolio!

Sneha K.

Final Year Student

What stood out was how practical everything was. I wasn't just learning theory—I was building things, using RAG pipelines, and even integrating APIs. This course is gold for developers.

Arjun S.

Developer

The curriculum was very well-structured, and the mentors were incredibly helpful. It's rare to find a course that balances cutting-edge content with hands-on coding so well.

Priya D.

Tech Lead

Certification Details

Free Access: NO [Download Brochure for further details]
Certification Exam: [Download Brochure]
Certification Criteria: Minimum 75% score required
Certificate Type: Digital e-certificate (no hard copies)
Exam Date: To be announced after course completion