/ Live cohort · Beginner-friendly · Recordings included
Building Agentic AI Applications
A 12-week cohort that takes you from Python and AI basics to LLMs, RAG, LangChain, CrewAI, LangGraph, orchestration, and no-code agent workflows — guided step by step. Ship 6+ portfolio projects and a capstone along the way.
Interactive live sessions · Recordings available
/ The path
From AI fundamentals to production agents
Each week builds on the last. Open a week to see exactly what it covers.
Session 1
- What is AI vs ML vs Generative AI
- Predictive AI vs Agentic AI
Session 2
- Classification use cases
- Regression use cases
Doubt clearing
- Open Q&A on week 1 concepts
/ Enrolment
One price, everything included
No tiers and no add-ons — every seat gets the full twelve weeks, the recordings, and the doubt-clearing calls.
One-time payment for the full cohort.
- All live sessions, plus recordings
- 3 core projects and a capstone
- Weekly doubt-clearing calls
- Resume and interview preparation
Schedule
- Batch starts
- 19 September
- Duration
- 12 weeks
- Live sessions
- Saturday & Sunday
- Session time
- 8:00 – 10:00 PM IST
- Doubt clearing
- Wednesday, 8:00 – 9:00 PM IST
Weekend sessions, so the cohort works alongside a full-time job. Miss one and the recording is there the same week.
/ Build, don't just watch
Three core projects, built end to end
Each project layers on the last — from a single retrieval-augmented assistant to a full multi-agent system that plans, researches, and executes on its own.
Agentic Knowledge Base Assistant (RAG System)
Build a RAG-powered chatbot that answers questions from custom documents by combining intelligent retrieval with generative AI.
Smart Personal AI Agent (Multi-Tool Assistant)
Create a multi-tool AI assistant that connects with external APIs — weather, travel, productivity tools — to perform tasks and deliver personalized responses.
Multi-Agent Research & Task Automation System
Develop a multi-agent workflow where specialized agents collaborate: a Planner Agent interprets requests, a Research Agent gathers information, and an Executor Agent generates reports and triggers automations.
Along the way, you'll also build: Document Q&A Chatbot, Smart Weather Assistant, Personalized Travel Planner, Resume Screening System, Text-to-SQL Chatbot.
/ What you walk away with
Ten skills, stacked on top of each other
/ Your instructors
Taught by practitioners, not slide-readers
Two instructors who between them have shipped production systems and taught these fundamentals to hundreds of thousands of students.
Satyajit Pattnaik
Lead AI and Data Consultant at PALO IT
Satyajit is a Data and AI expert based in Hong Kong with 14+ years of experience across data analytics, machine learning, and generative AI, working with organizations spanning telecommunications, insurance, and e-commerce. Alongside his consulting work at PALO IT, he has taught data science, AI, and analytics to a large global audience through live cohorts and online courses.
Atchyut Kumar
Data Engineering & GATE CS/IT Faculty
Atchyut holds an M.Tech from NIT Calicut and placed in the 99.97 percentile of GATE CS/IT (AIR 440). Across 15+ years in teaching, research and industry he has mentored students into roles at Amazon, Google, Oracle, Samsung and Adobe — and brings 9+ years of hands-on data engineering to every module.
/ Ready to start?
Reserve your seat in the next cohort
Twelve weeks of live sessions, three core projects, and a capstone — built alongside a small group, guided step by step.
Live sessions · Recordings included · Beginner-friendly