The AI Agent Architect: Learn, Build, & Deploy Agentic AI App in 8 weeks
‼️ Updated 2026 Curriculum ‼️
👉 The Market Isn't Waiting. Neither Should You.
Here's what's happening right now:
📊 91% of business leaders say AI agent skills will be critical for competitive advantage within 3 years
📊 AI-related skills demand has grown 109% year-over-year — faster than any other category
🔥 What This Bootcamp Actually Solves:
→ "I've watched 47 YouTube tutorials and still can't build anything real"
→ "I know LangChain exists but I don't know how the pieces connect" — You'll architect multi-agent systems using LangChain, LangGraph & MCP
→ "How do I actually monetize this?" — You'll walk out with a portfolio-ready, client-demo-ready deployed AI agent system.
🎓 YOU GRADUATE WITH:
✅ A fully deployed AI agent system — live on the cloud, on YOUR domain
✅ Multi-agent orchestration skills (LangChain + LangGraph + MCP)
✅ Agentic RAG pipelines with vector databases (Pinecone, ChromaDB, Qdrant)
💡 This isn't a "learn the concepts" course.
⌨️ Every single class is live. Every single topic is code-along. You open your editor, I open mine. we build together, line by line, concept by concept. Every step is discussed in depth & coded in real-time during the class.
What you’ll learn
Master LangChain, LangGraph, Agentic RAG, & MCP — and create the intelligent, autonomous AI workflows & AI Agents like - www.aitripy.com
Architect an autonomous AI agent that interacts with tools, APIs, and users end-to-end.
Use frameworks like LangChain, LangGraph & MCP to implement agent behaviour.
Deploy the agent in a cloud environment (e.g., Docker + AWS ECS) so it’s live and operational.
Deep dive into LLMs and prompt engineering to power your agents.
Build chains, tool invocations, memory flows and agent orchestration via LangChain and LangGraph.
Explore Agentic RAG (Retrieval-Augmented Generation) and multi-agent patterns (agent-to-agent communication) for higher-level workflows.
Ingest data using loaders, splitters and vector databases (for example, via Pinecone, Weaviate or Chroma).
Build retrieval pipelines to feed relevant context into LLM prompts, thereby improving accuracy and relevance.
Integrate the RAG system into an agent so that it can reason over your knowledge base and take action accordingly.
Use FastAPI as the backend API for your agent, and Streamlit as the front-end interface to interact with it.
Connect the UI to your deployed agent’s backend, enabling real users to interact with your system.
Implement deployment best practices, including containerisation, API endpoints, security, and scaling considerations.
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.
Who this course is for
Developers & Engineers
Build and deploy AI Applications & fast-track careers into one of the most in-demand and high paying in tech
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.
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.
Lifetime Access
Go back to course content and recordings whenever you need to.
Community of Peers
Stay accountable and share insights with like-minded professionals.
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.
Bonus Access to My Personal Resource Vault
Unlock exclusive access to my decks, code repositories, templates, & reading materials everything you need to accelerate your AI Journey.
All Sessions are Recorded
If you’d like to revisit or catch up on any missed sessions, you can go through the recordings—all sessions are recorded and available on Maven.
Maven Guarantee
Your purchase is backed by the Maven Guarantee.
Course syllabus
28 live sessions • 8 lessons
Week 1
Building AI Agents - Orientation
Apr
18
Agentic AI BootCamp - Orientation & Infrastructure Readiness
Introduction to Large Language Models (LLMs)
Week 2
Apr
20
Hands-On ->Integrating LangChain with Large Language Models - OpenAI, Claude, Gemini
Apr
22
Hands-On -> Integrating LangChain with Large Language Models - Ollama, Grok, HuggingFace, Llama3 etc
Apr
25
LangChain & ChatPrompTemplate & Messages & Introduction to Structured Output
Schedule
Live sessions
4-5 hrs / week
Note - There will be the repeat class on Wednesday at 8:30 PM - 9:30 PM (GMT+530) of the Wednesday Morning class to accommodate students from different time zones.
Sat, Apr 18
3:00 PM—5:00 PM (UTC)
Mon, Apr 20
12:30 AM—2:30 AM (UTC)
Wed, Apr 22
1:30 AM—2:30 AM (UTC)
Projects
4-8 hrs / week
Async content
1-3 hrs / week
Frequently asked questions
$899
USD
2 days left to apply