Next cohort starts 13th June 2026!   D H M S
Live Online Cohort · June 2026

Building AI Agents
for Enterprise

A 6-week hands-on program covering Design → Develop → Deploy for real-world AI agent systems.

Enroll Now  → 🎟 Get Discount Coupon
Upcoming cohort
June 2026 Live Classes

📅 Schedule

Starts 13th June 2026  ·  6 weeks
Morning Batch 8:00 AM – 10:00 AM IST  · Saturdays & Sundays
Evening Batch 8:00 PM – 10:00 PM IST  · Saturdays & Sundays

You'll receive invites to both batches:choose which one to join each day.

₹50,000
One-time investment · Lifetime access
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6-week program
Program Outline
Click any week to expand the details.
Week 1 Foundation ▼

Learn the foundations of AI agents and understand the enterprise landscape.

Classes
  • Class 1: Introduction to Agentic AI
  • Class 2: Prompt Engineering and Designing Agents
Tools & Frameworks
LangChain Langgraph OpenAI DSPy
Week 2 Retrieval Augmented Generation ▼

Build and evaluate retrieval systems that ground agents in enterprise knowledge.

Classes
  • Class 3: Embeddings and RAG
  • Class 4: RAG Design
Tools & Frameworks
FAISS Chroma DB
Week 3 Tool Engineering & Memory ▼

Equip agents with tools, external integrations, and persistent memory.

Classes
  • Class 5: Tool Engineering
  • Class 6: Memory in Agents, Model Context Protocol
Tools & Frameworks
MCP LangMem Redis
Week 4 Evaluating Agentic AI Systems ▼

Systematically evaluate agent quality and build complex workflows with LangGraph.

Classes
  • Class 7: Evaluating your Agent
  • Class 8: Error Analysis, LLM as Judge
Tools & Frameworks
Langsmith Opik
Week 5 Agentic RAG & Inference Optimization ▼

Combine agentic reasoning with advanced retrieval and optimize for production performance.

Classes
  • Class 9: Agentic RAG + Finetuning
  • Class 10: Inference Optimization
Tools & Frameworks
Langgraph NVIDIA NeMo vLLM
Week 6 Production & Multi-Agent Systems ▼

Ship agents to production with guardrails, observability, and multi-agent coordination.

Classes
  • Class 11: Observability and Guardrails
  • Class 12: Case Study: Inventory Planner; A2A Protocol, Deployment, Change Management
Tools & Frameworks
Docker Azure Cloud A2A Protocol
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What you will get
🏗️

Design → Develop → Deploy for production agent systems

⚖️

Trade-offs in model selection & pipelines

🎥

Lifetime access to recordings & community

💻

No prior AI/ML knowledge needed

Who's teaching
Instructors

Abhijith Neerkaje  

Data Science Leader · 20+ years experience

Abhijith currently heads Data Science and Analytics at Falabella India, leading a team building ML-powered search, recommendations, and seller-experience products for their e-commerce platform.

Previously Senior Director of Data Sciences at Target, driving pricing, supply chain, and merchandising decisions through advanced analytics.

B.E. from PESIT · M.Tech from IISc · MS from MIT (Tata Fellow, MIT Clean Energy Prize winner, 2013)

Ajay Shenoy  

AI/ML Consultant & Trainer · 14 years experience

Ajay works as a consultant and trainer in AI/ML. He has previously worked at Target, Harman, AlphaICs, and Scaler in the AI/ML field.

B.Tech from NITK Surathkal · Ph.D from IISc Bangalore. Has published 10 articles in leading venues including IEEE Transactions on Signal Processing.