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From understanding how AI works to shipping real projects — a hands-on live online program for college students who want to build, not just learn.
No fluff. No theory dumps. Every topic connects directly to something you build.
How machines actually learn — supervised, unsupervised, and reinforcement learning with real Indian examples.
Clean, analyze, and prepare data using Python, Pandas, and NumPy. Because garbage data = garbage AI.
Train classifiers, neural networks, and CNNs using scikit-learn and PyTorch from scratch — no shortcuts.
Master prompt engineering and integrate OpenAI/Anthropic APIs to build AI-powered apps real users can use.
Go deep in one specialization — image recognition, object detection, text analysis, or RAG systems.
Graduate with a working AI project on GitHub you can explain confidently in any interview or internship.
Each batch ends with a real project submission. You build things, not just notes.
What AI/ML/DL actually mean. How a machine learns. Types of ML with real examples. Live demo of pre-built models. Python + Google Colab setup for every student.
Data cleaning, bias detection, scikit-learn classifiers, confusion matrices, model evaluation. Build a sentiment analyzer. Write a failure analysis — understanding what broke is the real lesson.
Neurons, layers, backpropagation — intuition first, then code. PyTorch from scratch. CNNs and image classification. Train a model on MNIST. Transfer learning with ResNet.
How ChatGPT/Claude works. Transformers, tokens, context windows. Prompt engineering as a real skill. Build a chatbot with memory using real APIs. Deploy an AI app a real person uses.
Track A: Computer Vision (YOLO, OpenCV). Track B: NLP & RAG Systems. Track C: AI for Business (Make.com automation). One track. Go deep.
Build your final project solving a real problem. GitHub portfolio setup. Present to a live panel of founders and professionals. Leave with a project you can talk about in any room.

Abhay bridges the gap between cutting-edge AI and what actually works in the real world. He doesn't teach AI as a topic — he teaches it as a tool you use to build things that matter.
Abhay Antala is an experienced AI coach who has worked directly with AI tools, APIs, and real-world deployments — not just textbooks. His philosophy: if you can't explain it simply, you don't understand it well enough.
Every concept comes with an analogy, a real example, and something you code yourself. No slides without practice. No theory without output.
No hidden fees. No upsells. No separate charges for recordings or materials.
Once the batch fills, registration closes. There's no waitlist for regret.