Enterprise Agentic AI
Course — Pune & Online
India’s only Agentic AI bootcamp with a during-training project + post-training capstone. Build two complete, production-grade enterprise AI applications using Generative AI, LangChain, CrewAI, and RAG. Classroom in Pune or live online — certification included.
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Agentic AI Course — Key Facts
Total Duration
Intensive & Hands-On
Weekends
Classroom + Online
Modules + Projects
Concept → Lab → Build
Enterprise Apps Built
Portfolio-Ready
“AI will not replace humans, but humans with AI will replace humans without AI.”
— Karim Lakhani, Professor, Harvard Business School
The Dual-Project Difference
What Makes This India’s First & Only
Every other AI course teaches concepts. MCAL’s bootcamp builds two complete enterprise AI applications.
| MCAL’s Dual-Project Model | Every Other AI Course | |
|---|---|---|
| During Training | Build an enterprise AI Agent module-by-module | Watch lectures, do isolated exercises |
| Post Training | Build a full Agentic Image Research Assistant | No capstone or toy projects only |
| What You Graduate With | 2 portfolio-ready enterprise AI apps | A certificate |
| Employer Signal | “This person has shipped AI systems” | “This person attended a course” |
The Dual-Project Advantage
Two Enterprise Applications. Zero Toy Demos.
During-Training CoPilot
Runs across all 10 modules — starts Day 1
Most courses separate “learning” from “doing.” At MCAL, they happen simultaneously. From Module 1, you build a real enterprise-grade AI CoPilot — and every module adds a new, functional capability to it.
Capstone — Image Research Assistant
Post-training · Independent portfolio project
The Capstone is where you prove you can operate without hand-holding — exactly what employers test for. You build the Image Research Assistant, implementing the full four-stage autonomous workflow: Perception → Planning → Execution → Synthesis.
Enterprise Use Cases This Mirrors:
Why employers pay $175K–$245K for engineers who can build this: The Capstone proves you can integrate vision models, multi-agent reasoning, RAG retrieval, MCP orchestration, and production deployment — all in one working system.
Complete Curriculum
Agentic AI Course Curriculum — 10 Modules · Concept → Lab → Build
Lab: Compare LLM outputs on real business tasks; configure development environment
Intelligence layer connected — your CoPilot comes alive
Lab: HuggingFace text generation and Stable Diffusion image creation demos
Multimodal capabilities added — your CoPilot sees and speaks
Lab: Build multimodal chatbots using OpenAI and HuggingFace with full conversational memory
Memory and workflows wired — your CoPilot now thinks in sequences
Lab: Build a complete RAG pipeline from document ingestion to deployment with FAISS
Knowledge retrieval added — your CoPilot now knows your documents
Lab: Optimize prompts for book summarization; build a reusable prompt template library
Accuracy and reliability improved — your CoPilot gives better answers
Lab: Implement orchestrator-worker patterns; create fully functional multi-agent collaboration systems
Agent autonomy added — your CoPilot now manages and delegates tasks
Lab: Deploy an Interactive PDF Reader using LLM + LangChain + Streamlit stack
Live deployment — your CoPilot is now accessible as a real web application
Lab: Build and deploy a standalone MCP server; extend it to a multi-server configuration
External connectivity added — your CoPilot integrates across systems
Lab: Build a Generative AI Application on Bedrock using S3 and Aurora PostgreSQL
Cloud-native deployment — your CoPilot is now enterprise-cloud ready
Lab: Complete Image Research Assistant with MCP — full-stack Agentic AI application
Mission accomplished — two enterprise AI applications in your portfolio
Job-Ready Outcomes
What You Will Be Able To Do
Build and ship a fully functional enterprise AI CoPilot during the training itself
Architect multi-agent systems with Orchestrator-Worker and Evaluator-Optimizer patterns
Deploy production RAG pipelines using FAISS, Pinecone, and Chroma with document processing
Implement MCP for multi-server agentic integrations — a skill barely covered anywhere in India
Create full-stack AI services with FastAPI backends and Streamlit frontends
Run enterprise AI on AWS Bedrock with S3, Aurora PostgreSQL, and Athena integration
Present a Capstone Portfolio Project demonstrating vision + reasoning + orchestration + deployment in one system
Tech Stack
Tools & Technologies You Will Master
Who Should Enroll
Built for Professionals Ready to Build
Python Developers
Want to add Agentic AI engineering to their professional skillset and build production systems.
IT & Automation Pros
Seeking a structured, career-accelerating upskill in Generative AI with enterprise focus.
Architects & Tech Leads
Need to evaluate and design AI-first system architecture for their organizations.
Career Switchers to AI
Want to skip theory-heavy courses and build real systems. Python knowledge required, no prior AI/ML needed.
Why MCAL Global
Why Choose MCAL for Your Agentic AI Certification
India’s only dual-project AI bootcamp — CoPilot during training + Capstone after; no other institute offers this
Every module is project-driven — each session adds real, working functionality to an enterprise-grade application
Guided mentorship model — instructors work alongside participants in every lab, not just lecture from slides
Enterprise-ready curriculum — designed around real industry use cases and production tools
Small batch sizes — ensuring individual attention and peer collaboration that online platforms cannot replicate
Authority & Trust
Proof, Not Promises
15,000+ professionals from India's top enterprises have trained with MCAL Global since 2010.
IIBA Endorsed
16+ Years
Global Footprint
Enterprise Trusted
Student Stories
What Our Graduates Say
"Before MCAL's bootcamp, I was using ChatGPT for simple tasks. After Module 6 alone, I had built a fully functioning multi-agent system for my company's HR onboarding workflow."
Senior Developer
Enterprise AI Practitioner
"The RAG module completely changed how I thought about enterprise search. I've already implemented a production RAG pipeline at work. The Bedrock module was a bonus."
Tech Lead
Data Engineering Team
"The dual-project structure is genius. I walked into interviews with two working AI systems on my GitHub. Recruiters were blown away. Three offers within 2 weeks."
AI Engineer
Career Switcher
Frequently Asked
Questions & Answers
Your Next Step
Ready to Become an Enterprise
Agentic AI Developer?
In 8 weekends, go from Python developer to enterprise Agentic AI engineer.
53 hours · 10 modules · 2 enterprise applications · Certification
