[7 sessions] | AI-Assisted Coding, RAG, MCP and Agentic AI Training

[7 sessions] AI-Assisted Coding, RAG, MCP and Agentic AI Training

We offer 50% discount to students, please complete this form to avail discount.

This is a 7-session professional training programme delivered across seven working days, with each session running for four hours from 6:00 PM–10:00 PM IST.

The programme consists of seven sessions:

• 2 November 2026 – LLMs, Prompt Eng & Safe Code Gen
• 3 November 2026 – AI-Assisted Software Dev Workflow
• 4 November 2026 – RAG for Codebases
• 5 November 2026 – Model Context Protocol (MCP)
• 9 November 2026 – AI Agents & Tool Calling
• 10 November 2026 – Agentic Coding, Quality & Ops
• 11 November 2026 – Capstone Project & Verification

What You Will Learn

By the end of this programme, you will:

• Understand how LLMs can be applied to modern software development
• Apply effective prompt engineering techniques
• Build AI-assisted software development workflows
• Apply RAG techniques to software codebases
• Understand and use Model Context Protocol (MCP)
• Work with AI agents and tool calling
• Apply agentic coding approaches
• Understand quality and operational considerations for AI-assisted development
• Complete a practical capstone project with verification

Who Should Attend

• Software developers and engineers
• AI and machine learning professionals
• Engineering professionals adopting AI-assisted development
• Technical leads and architects
• University students and advanced learners
• Professionals interested in agentic AI and modern software development workflows

Course Structure

Session 1: LLMs, Prompt Eng & Safe Code Gen

Introduction to LLMs, prompt engineering and safe AI-assisted coding practices.

Session 2: AI-Assisted Software Dev Workflow

Practical approaches to integrating AI assistance into software development workflows.

Session 3: RAG for Codebases

Using Retrieval-Augmented Generation to work effectively with software codebases.

Session 4: Model Context Protocol (MCP)

Understanding MCP and how structured context can connect AI models with development tools.

Session 5: AI Agents & Tool Calling

Understanding AI agents, tool calling and practical agent-based workflows.

Session 6: Agentic Coding, Quality & Ops

Applying agentic coding approaches while maintaining quality and operational controls.

Session 7: Capstone Project & Verification

Bringing the programme together through a practical capstone project and verification.

Training Format

• 7 sessions
• 4 hours per session
• 6:00 PM – 10:00 PM IST
• 28 hours total
• Live professional training
• Practical examples and structured learning
• Final capstone project and verification