AI-Assisted Coding | Session 3: RAG for Codebases

AI-Assisted Coding | Session 3: RAG for Codebases

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

This session introduces Retrieval-Augmented Generation (RAG) for working effectively with software codebases and using relevant code context to support AI-assisted development.

This session is part of a 7-session professional training programme:

• 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

REGISTRATION FOR ALL 7 SESSIONS IS £372 ONLY.

This session focuses on applying RAG techniques to software codebases, helping AI systems retrieve and use relevant project context to provide more useful and accurate development assistance.

What You Will Learn

• Fundamentals of Retrieval-Augmented Generation (RAG)
• How RAG can be applied to software codebases
• Retrieving relevant code and project context
• Using codebase context to improve AI-assisted development
• Structuring information for effective retrieval
• Working with large and complex codebases
• Improving the relevance of AI-generated responses
• Key considerations for reliable codebase-aware AI assistance

Why This Matters

AI coding assistance becomes more useful when it has access to the relevant context from the software project.

RAG provides a practical approach to connecting AI models with codebase information and improving the quality and relevance of AI-assisted development.

Ideal For

• Software developers and engineers
• Engineering professionals adopting AI-assisted development
• Technical leads and architects
• University students and advanced learners
• Professionals interested in RAG and AI-assisted software development

Training Format

• 4-hour live training session
• 6:00 PM – 10:00 PM IST
• Practical examples and structured learning
• Part of a 7-session professional training programme