GENAI & AGENTIC AI
Build intelligent applications using LLMs, RAG, prompt engineering and AI agents.
This executive track equips software engineers with the exact engineering principles required to integrate generative AI into production systems. Moving far beyond trivial API calls, you will learn semantic search, chunking heuristics, hybrid search vector databases, agentic control loops, memory management, and deterministic evaluation of probabilistic systems.
Duration
12 Weeks
Weekend & Evening live interactive cohorts
Next Cohort
Next Cohort Starting Soon
Weekends: Sat & Sun | 9:30 AM - 1:30 PM IST
Skill Level
Intermediate to Advanced Engineers
For working developers & tech leads
Credential
Executive Certification
Upon completing capstone architectures
Who Is This Program For?
- Software engineers wanting to lead AI initiatives in their companies
- Backend developers looking to build scalable RAG and multi-agent architectures
- Technical architects seeking deep hands-on expertise in LLM system design
- Data and ML engineers moving into generative AI workflows
Recommended Prerequisites
- Proficiency in at least one modern language (Python, TypeScript, Java, or C#)
- Understanding of REST APIs and modern web application architectures
12-Week Comprehensive Curriculum
- Attention mechanisms & transformer architecture mental models
- Tokenization, context window limits, and cost optimization
- Prompt engineering paradigms: Few-shot, ReAct, Chain-of-Thought
- Fine-tuning vs In-Context Learning: Trade-off analysis
- Document parsing, chunking strategies & metadata preservation
- Vector embeddings, dense retrieval & approximate nearest neighbors
- Hybrid search with BM25 + Dense Vectors & Cross-Encoder reranking
- Evaluation frameworks (RAGAS, TruLens) & hallucination mitigation
Want the complete module-by-module syllabus PDF?
Includes full lecture plans, project specifications, and architecture diagrams.
Production-Grade Capstone Projects
Autonomous Enterprise Knowledge & Research Agent
A production-grade multi-agent engine that ingests enterprise documentation, performs autonomous web research, queries internal SQL databases, and produces synthesis reports with citations.
Self-Healing Code Review & Migration Assistant
An intelligent CLI & webhook agent that inspects GitHub pull requests, detects vulnerabilities, suggests AST-compliant code refactorings, and auto-generates unit tests.
End-to-End Enterprise Architecture Pattern
You will build and deploy this complete distributed architecture during the 12-week program.
USER
Input Prompt
LLM
Foundation Model
RAG
Vector DB & Chunking
TOOLS
API & Function Calling
AI AGENT
Reasoning Engine
ACTION
Execution & Output
Ready to Master GENAI & AGENTIC AI?
Join the upcoming 12-week cohort. Limited to 25 working professionals to ensure high-touch mentoring and code reviews.