6 Weeks Build Agentic AI Application you can show Employer, Clients or Investors
4 cohorts · 5.0★ rating · alumni at Meta, Oracle, NVIDIA, JP Morgan Chase, ICICI Bank, National Bank of Kuwait, Bluemarlin, LiveRamp, Ogilvy, Teradata
You've watched the tutorials. You still can't ship an agent.
That's not a knowledge problem — it's a reps problem. Tutorials show you code. They never make you write it, debug it, and deploy it with someone who's done it before sitting next to you.
This bootcamp fixes that. Every single session is live. Every topic is code-along. You open your editor, I open mine, & we build multi-agent systems with LangChain, LangGraph & MCP line by line — 30 live sessions, the most live instruction of any AI bootcamp on Maven.
And it ends with something no tutorial gives you: a production agentic AI app running on AWS under your own custom domain. Not a notebook. Not a localhost demo. A live URL you can put in front of employers, clients, and investors.
You graduate with:
A deployed multi-agent AI application — live on the cloud, on YOUR domain
Multi-agent orchestration: LangChain + LangGraph + MCP + Memory
Build complete RAG/Agentic RAG Application with Vector Databases like CromaDB & Pinecone
More Details -https://tinyurl.com/agentic-ai-future
What you’ll learn
Master LangChain, LangGraph, Agentic RAG, MCP - create the intelligent, autonomous AI workflows & AI Agents like - https://www.aitripy.com
Architect an autonomous Multi AI Agents that collaborate & interacts with tools, APIs, and users end-to-end.
Containerize with Docker and deploy on AWS ECS behind your own custom domain
Leave with a live URL — the portfolio piece employers and clients actually click
Build stateful agent workflows with LangGraph: routing, cycles, human-in-the-loop
Design multi-agent patterns — planner/executor, supervisor, agent-to-agent handoffs
Connect agents to tools and data through MCP servers you build yourself
Ingest data with loaders, splitters, and vector DBs ( ChromaDB, Pinecone/ Qdrant)
Go beyond static RAG: retrieval planning, reranking, and context engineering
Evaluate retrieval quality so you can prove your system works — not just hope
Serve your agent with FastAPI and ship a working UI with Streamlit
Use Claude Code and Cursor as pair programmers to accelerate every build
Wire CI/CD so deployments are repeatable, not heroic
Define a real-world use case (founder / entrepreneur / solopreneur angle), design the MVP (minimum viable product) for that case.
Build the MVP during the course and deploy it with a custom domain or production target.
Present your agent project as a capstone/demo day, ready for LinkedIn, portfolio, clients or investors.
Understand high-level architecture of agent-based systems, model context protocol (MCP), and multi-agent ecosystems.
Gain confidence to lead AI initiatives, pitch agent-based solutions, and consult or work as an agent-builder.
Walk into AI engineering interviews able to explain and defend every decision in your system
Learn directly from Nitin
Nitin Monga
AI Engineer & Tech Founder with 20+ Years of IT & 9+ years in DS/ML/AI
Who this course is for
Developers & Professionals Pivoting into AI
Build & deploy AI Agents; fast-track careers into the most in-demand and high paying tech domain
Entrepreneurs & Founders
Aiming to launch AI-powered SaaS products, automate workflows, or integrate intelligent agents into their business
Product Managers
Looking to lead AI-driven product development, understand agent architecture & collaborate effectively with technical team
What's included
Live sessions
Learn directly from Nitin Monga in a real-time, interactive format.
30+ Hours of Live - Code Along Sessions
30+ hours of live, code-along sessions - the most live AI Bootcamp on Maven. You code in every class. No passive watching. You build real agentic systems alongside me in real time. You write every line, debug every error, and ship working agents. By the end, you won't just understand agents; you'll have built them.
Deploy Your Own Agentic AI App on a Custom Domain
Build and deploy a production-ready Agentic AI application using LangChain and LangGraph—hosted on AWS under your own custom domain (just like www.aitripy.com). By the end of this course, you won’t just learn—you’ll launch. Showcase your AI expertise with a live, interactive application that employers, clients, and peers can access anytime.
Certificate of completion
Share your new skills with your employer or on LinkedIn.
Exclusive Community Access
Collaborate, learn, and grow with a vibrant network of AI builders, innovators, and professionals. Stay engaged through discussions, project
Extensive Learning Resources
Get lifetime access to 100+ pages of curated reading material, architecture diagrams, implementation guides, and exclusive eBooks.
The Agent Builder's Library
100+ pages of guides, 20+ architecture diagrams, every repo we build in class, plus my personal templates and decks. Lifetime access, updated each cohort.
Miss a Class - All Classes are Recorded
Travel, an office deadline, something at home — it happens. Every session is recorded and available the same day, not weeks later. And if the recording leaves you with questions, we get on a call offline and clear them one-to-one.
Lifetime Access & Switch to Future Cohort
Go back to the course content and recordings whenever you need to. Plans changed and you can’t attend the classes? No worries! Just let us know, and we’ll move you to the next cohort.
Don't just learn. Build the thing you actually need & aspire
This is the part most people miss. Come in with the app you want running at work — the internal assistant, the document pipeline, the research agent your team keeps asking for. We build the 5 portfolio projects together, & alongside them you build yours.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
Week 1
Feb
1
Infrastructure Readiness
Week 2
Feb
5
Building Generative AI Application with LangChain - Core Components Over View
Feb
7
Integrating LangChain with LLMs - Hands on With OpenAI, DeepSeek, Llama3/4, GROK, etc
Feb
8
Integrating LangChain with LLMs - Hands on With Ollama, HuggingFace - DeepSeek, Llama3/4
Schedule
Live sessions
5 hrs / week
Sun, Feb 1
2:00 AM—4:00 AM (UTC)
Thu, Feb 5
2:00 AM—3:00 AM (UTC)
Sat, Feb 7
2:00 AM—4:00 AM (UTC)
Projects
1-2 hrs / week
Async content
1-2 hrs / week
Frequently asked questions
Maven for Teams
Reimbursement
Get your company to pay
Everything L&D needs: email template, receipts, and certificate of completion.
Get reimbursedPrivate cohort
Run a cohort for your org
A dedicated cohort with a custom schedule and curriculum, tailored to your team.
Book a private cohort$1,199
USD