Boost Software Development Productivity with Generative AI | Hands-on Course

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Productivity Gain in Software Development using GenAI

(Online, Instructor Led Training)


Instructor: Shyam Prakash
Co-founder & CTO-Whatifics

  




Online Interactive classes   

Course Fees: ₹30,000/-  80% discount ₹5,999/-

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.

This course is ideal for:

  • Software Developers looking to increase development speed and code quality with AI.
  • QA Engineers interested in AI-powered test generation and automation.
  • Tech Leads and Architects exploring GenAI integration into their team’s workflow.
  • DevOps and Full-Stack Engineers who want to accelerate code, test, and deployment cycles.
  • Anyone with a technical background aiming to become proficient in Generative AI for software development.

Prerequisites

To make the most of this course, learners should have:

  • 2+ years of professional experience in software development.
  • Proficiency in at least one language among Python, JavaScript, Java, or C#.
  • Familiarity with software development workflows (version control, CI/CD, testing, code review).
  • A basic understanding of cloud environments, especially Azure (for Copilot modules).

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.

Course Syllabus

Introduction to Generative AI
30 minutes
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
90 minutes
Fundamentals of prompt engineering
Crafting effective prompts for coding, testing, and documentation
Iterative prompt refinement and troubleshooting
Generative AI Tools Overview
60 minutes
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
150 minutes
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
30 minutes
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
60 minutes
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
30 minutes
Generating and maintaining code documentation
Creating technical documentation, READMEs, and API docs with AI
Database Design with Generative AI
60 minutes
Schema generation and migration scripts
Query optimization and code generation for database access layers6
Debugging & Refactoring using AI
60 minutes
Identifying bugs and vulnerabilities with AI
Refactoring legacy code for performance, readability, and maintainability
Code review automation
Ethics, Limitations, and Best Practices
30 minutes
Responsible AI usage, code originality, and licensing
Addressing bias, hallucination, and security risks
Mini project & Assessment
240 minutes
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
Shyam Prakash

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.

Online Interactive classes   

Course Fees: ₹30,000/-  80% discount ₹5,999/-

Course Highlights


Course Status: Enrollment Open
Format: Online, Instructor Led
Language: English
Duration: 10 hours + 4 hours of Mini Project
Category: GenAI
Audience: Software Developers, QA Engineers, Tech Leads and Architects, DevOps and Full-Stack Engineers
Start Date: 3 June 2025
End Date: 16 June 2025
Enrollment Deadline: Ongoing
Exam Date: Immediate (after course completion)
 

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
 

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.

Join the GenAI revolution. Start learning Large Language Models today!

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