Enterprise AI Agent Bootcamp: Build, Deploy & Scale Real-World AI Agents

Program details

30 hours of live instruction. Price: ₹25,000 INR or $280 USD.

Up to 38% off. ₹40,000 → ₹25,000 (save ₹15,000); $450 → $280 (save $170).

Fees once paid are non-refundable in any scenario. Review refund terms before payment.

Review enrolment terms and fees · Contact admissions

What you will build

Apply LangChain, RAG, CrewAI, AutoGen and deployment skills to one industry problem use case.

Curriculum

1. Session 1: Python + API Refresher

   Key Python for AI (functions, OOP basics), REST APIs, JSON. Hands-on: Call OpenAI API using Python script.

2. Session 2: AI-Agent Foundations + LangChain Introduction

   Agents, ReAct, planning versus execution; introductory LangChain concepts. Hands-on: Begin a calculator or search-enabled agent and a prompt-to-model workflow.

3. Session 3: LangChain Essentials + Memory

   Prompt templates, LLM wrappers, chaining and conversational context. Hands-on: Create an LLM workflow and begin a context-aware conversational app.

4. Session 4: Memory + Tool Integration

   Context handling, conversational memory and tool calling. Hands-on: Extend the chatbot and begin integrating an external tool.

5. Session 5: Tool Integration + AI Agents

   Tool definitions, function calling, workflow control and execution. Hands-on: Build a multi-tool agent with search and Python functionality.

6. Session 6: Embeddings + Vector Databases

   Embeddings, similarity search and FAISS / Chroma fundamentals. Hands-on: Create an initial vector store and run semantic search.

7. Session 7: Vector Search + RAG Foundations

   Vector retrieval and the retrieval-augmented generation workflow. Hands-on: Connect retrieval with an initial document Q&A pipeline.

8. Session 8: Building a RAG Application

   Document ingestion, retrieval, context assembly and answer generation. Hands-on: Build a PDF / CSV question-answering assistant; validate answer quality.

9. Session 9: Advanced Agents + Multi-Agent Introduction

   Structured tool calling, ReAct-style workflows and role-based collaboration. Hands-on: Extend a structured agent and introduce a planner / executor design.

10. Session 10: Multi-Agent Systems

    Role-based agents, coordination, planning; CrewAI / AutoGen concepts. Hands-on: Build a two-agent planner / executor workflow.

11. Session 11: Deployment Foundations

    Application interfaces and Streamlit / FastAPI deployment patterns. Hands-on: Begin a usable interface for an AI-agent application.

12. Session 12: Application Integration + Deployment

    Interface integration, API handling and deployment preparation. Hands-on: Integrate and test the agent app through Streamlit or FastAPI.

13. Session 13: Containers, CI/CD + Azure Cloud

    Introductory Docker containerisation, CI/CD concepts and Azure deployment. Hands-on: Prepare a deployment workflow suited to the capstone and available environment.

14. Session 14: Mini-Capstone Architecture + Build

    Architecture combining RAG, tools and memory. Hands-on: Refine a practical problem, design its components and assemble the app.

15. Session 15: Mini-Capstone Integration + Review

    Core workflow testing, troubleshooting and project review. Hands-on: Complete planned integration and present a demonstrable learning project.

Instructor

Rishav Das

Lead AI Instructor

Certificate

Participants who complete the bootcamp receive an MCI Certified digital certificate.

Frequently asked questions

What is an AI agent bootcamp?

A live, mentor-led AI agent development course with practical exercises in Agentic AI, RAG and Multi-Agent Systems. MCI Skills Lab combines 30 live hours with tools, memory, retrieval and a demonstrable mini-capstone.

Who should attend?

Developers, data professionals, product managers, analysts, consultants, founders and technology leaders interested in practical AI implementation. Guided low-code and AI-assisted workflows complement deeper technical exercises; some activities involve code and APIs.

Is the program live or self-paced?

Live, instructor-led weekend sessions with guided exercises and Q&A. Recordings support review; they do not replace the live delivery plan.

How flexible is the schedule?

Share your time zone and preferred weekend window with admissions. Exact session time and the final cohort calendar are confirmed by admissions before enrolment. This does not guarantee individual time slots or unrestricted rescheduling.

How long is the revised program?

30 live hours across 15 sessions of 2 hours each.

When does the cohort start?

The published cohort kickoff is 14 November 2026. Contact admissions for current cohort availability. Exact session time and the final cohort calendar are confirmed by admissions before enrolment.

How often do sessions take place?

2 hours on Saturday + 2 hours on Sunday. Each full weekend has four live hours. Fifteen sessions span approximately eight weekends; the final calendar is confirmed before enrolment.

Do I need previous AI-agent experience?

No previous agent-framework experience is required. A Python and API refresher is included. Some exercises involve code, APIs and deployment, so willingness to practise is important.

Is this suitable for non-technical professionals?

Guided low-code and AI-assisted approaches sit alongside technical implementation. This is hands-on learning, not a completely passive or exclusively no-code course; exercise depth depends on your starting level and the instructor’s plan.

What will I build?

Progress through tools, memory, vector search, document RAG, agent collaboration and deployment activities toward an integrated mini-capstone. Enterprise production use additionally needs testing, security, data controls and human oversight.

Are API credits and cloud costs included?

Confirm model access, API credits, cloud consumption and any third-party usage charges with admissions before paying. Do not assume these are included in the fee.

Will I receive a certificate and recordings?

The existing offer includes an MCI Skills certificate on bootcamp completion and long-term session recording access. Confirm the detailed completion criteria and access arrangements with admissions.

How much does the bootcamp cost?

₹25,000 INR / $280 USD. Offer pricing: ₹40,000 → ₹25,000 (save ₹15,000); $450 → $280 (save $170).

What is the refund policy?

Fees once paid are non-refundable in any scenario. Review the curriculum, schedule and participation expectations before completing payment.

How can I get the brochure?

Submit your details and consent on this page. The original brochure and curriculum guide unlock only after your enquiry is saved successfully.