Agentic AI in 60 Minutes: Python, LangChain & CrewAI
Hosted by Nitin Monga
Mon, Jan 12, 2026
2:00 AM UTC (1 hour)
Virtual (Zoom)
Free to join
Go deeper with a course

Mon, Jan 12, 2026
2:00 AM UTC (1 hour)
Virtual (Zoom)
Free to join
89 students
Go deeper with a course

What you'll learn
Python Essentials That Actually Matter for AI
Using LangChain Learn How Your Code Talks to AI Models
Your First CrewAI Agent - From Python to Autonomous Action
Why this topic matters
You'll learn from
Nitin Monga
AI Engineer & Tech Entrepreneur
I believe managing is routine but building is an art. That’s where the real magic happens, & that is why I moved from a corporate life of managing projects & teams to entrepreneurship because I wanted to create, innovate, and see ideas take shape in the real world.
I’m the Founder of AI Agent Café, where we design & build intelligent AI agents, chatbots, & automation workflows that help startups, solopreneurs, and businesses scale smarter through AI.
When I’m not building or consulting, I teach and mentor professionals, empowering them to build the next generation of AI-powered products.
Portfolio - https://nitinai.xyz
LinkedIn - https://www.linkedin.com/in/nitinmonga-ai/
Advanced AI Course - https://maven.com/nitinai/agentic-ai-bootcamp
Career highlights
- I love working at the intersection of Machine Learning, Artificial Intelligence, and Algorithmic Trading — a space where data meets decision-making and intelligence meets opportunity.
- With 20+ years of experience in IT and over 9 years in Data Science and Artificial Intelligence, I’ve worked with organizations like Wipro Technologies, Xerox and 3i Infotech and worked across different domains like banking, retail, finance & stock market.
- Built & deployed multi-agent AI apps, Agentic RAG solutions, and conversational Voice/Text AI Chatbots using OpenAI, CrewAI, 11Labs.
- LLMs, NLP, Computer Vision, Deep Learning, Statistical Modeling, Generative AI
- Key Skills - Python, R, SQL | Frameworks: TensorFlow, LangChain, CrewAI, AutoGen, LangGraph, Vector Databases, Agentic RAG, MCP, Cloud.
Taught builders from
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