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15 weeks. 8 hours each. Learn by building.

120-hour offline AI Industry Readiness Program. Every phase ends with something you can show.

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Next batch — registrations open. Limited seats.
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Zero third-party costs. Free & open-source tools.

Phase 1 — AI & Programming Foundation

24 Hours
Week 1
8 hrs

AI Landscape + Developer Setup

AI ecosystem, Python, VS Code, Git, GitHub, AI-assisted coding.

Output: GitHub profile + repo
Week 2
8 hrs

Python for AI

Functions, OOP, files, JSON, APIs, environments.

Output: Python mini-project
Week 3
8 hrs

Data for AI

NumPy, Pandas, visualization, cleaning, SQL basics.

Output: Data-analysis project

Phase 2 — Machine Learning & Deep Learning

24 Hours
Week 4
8 hrs

ML Fundamentals

Features, split, regression, classification, workflow.

Output: First ML model
Week 5
8 hrs

Practical ML

Feature engineering, metrics, pipelines.

Output: ML project + report
Week 6
8 hrs

Deep Learning Intro

Neural nets, training, CNN basics, transfer learning.

Output: DL mini-project

Phase 3 — Generative AI & LLMs

24 Hours
Week 7
8 hrs

GenAI & Prompt Engineering

LLM landscape, prompting, structured outputs.

Output: Prompt library
Week 8
8 hrs

LLM Applications

APIs, tooling, safety, cost/latency.

Output: LLM app prototype
Week 9
8 hrs

RAG Systems

Embeddings, vector DBs, retrieval, grounded generation.

Output: RAG pipeline

Phase 4 — Agents, Automation & Engineering

24 Hours
Week 10
8 hrs

AI Agents

Tool use, planning, memory, single-agent flows.

Output: Tool-using agent
Week 11
8 hrs

Multi-Agent Systems

Orchestration, collaboration, API integration.

Output: Multi-agent project
Week 12
8 hrs

AI Engineering

Architecture, security, responsible AI, evaluation.

Output: Architecture pack

Phase 5 — Deployment, Career & Capstone

24 Hours
Week 13
8 hrs

Deployment & MLOps Basics

Git, docs, testing, deployment, CI/CD concepts.

Output: Deployable AI app
Week 14
8 hrs

Career & Interview Accelerator

Resume, LinkedIn, portfolio, mocks, system design.

Output: Professional AI profile
Week 15
8 hrs

Industry Capstone + Demo Day

End-to-end build, review, presentation, evaluation.

Output: Capstone + demo
Who is this for?
Students, developers, professionals, entrepreneurs. Basic computer familiarity helps.
Online or offline?
First batch is offline and hands-on.
Extra tool costs?
No — free and open-source stack.
Job guarantee?
No. Focus on skills, portfolio, and interview readiness.

Reserve your seat

Next batch · limited seats