Live Online Cohort · April 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
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

April 2026 Live Classes

📅 Schedule

Starts 11th April 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
Program Outline
Click any week to expand the details.
Week 1 Foundation

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

Topics
  • Gen AI Fundamentals and Introduction to Agents in Enterprise
  • Tools Landscape
  • Prompt Engineering and Optimization
  • Building workflow agents
Tools & Frameworks
LangChain Groq OpenAI DSPy
Week 2 Retrieval Augmented Generation

Advanced retrieval systems and tool engineering for enterprise integration.

Topics
  • Retrieval Augmented Generation (RAG)
  • Advanced RAG and retrieval evaluations
Tools & Frameworks
FAISS Chroma DB
Week 3 Agent Intelligence

Intelligent agent evaluation and reasoning patterns.

Topics
  • Tools Engineering
  • MCP Protocol
  • Agent Evaluations
Tools & Frameworks
MCP Lovable Langgraph
Week 4 Memory & Optimization

Build agents with sophisticated memory systems and optimize for production performance.

Topics
  • LLM as a Judge
  • Agentic RAG
  • Long and Short Term Memory in Agents
Tools & Frameworks
Langgraph LangMem Redis
Week 5 Production Deployment

Deploy, monitor, and maintain AI agents in production enterprise environments.

Topics
  • Inference Optimization & Caching Strategies
  • Observability & Guardrails
Tools & Frameworks
Langsmith Opik NVIDIA Nemo
Week 6 Multi-Agent Systems

Advanced multi-agent architectures and strategic implementation.

Topics
  • Deploying Agents to Azure
  • Multi Agent Architectures and A2A Protocol
  • Strategic Choices and Change Management
Tools & Frameworks
Docker Azure Cloud A2A Protocol
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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.