IRL & Online Program
60 Days. From Zero to AI Builder
45 days of deep learning + 15 days building a real product. A complete, hands-on program from fundamentals to shipping AI.
Hands-on Highlights
- Build neural networks from scratch using PyTorch
- Train and deploy a computer vision classification model
- Fine-tune an open-source LLM on custom datasets
- Ship a full-stack AI application in 15 days
Detailed Syllabus
Phase 1: Week 1-2
Mathematics & PyTorch Fundamentals
- Linear algebra & calculus for deep learning
- Building perceptrons from scratch
- PyTorch tensors and computational graphs
- Training your first multi-layer perceptron (MLP)
Phase 1: Week 3-4
Computer Vision & CNNs
- Convolutional Neural Networks (CNNs)
- Image augmentation and regularization
- Transfer learning (ResNet, EfficientNet)
- Deploying an image classification API
Phase 1: Week 5-6
NLP & Transformers
- Word embeddings and sequence models
- The Transformer architecture (Attention is All You Need)
- Building a custom RAG (Retrieval-Augmented Generation) pipeline
- Fine-tuning open-source LLMs (Llama 3, Mistral)
Phase 2: Week 7-8
Product Engineering & Demo Day
- Ideation and architecture for your AI product
- Building the frontend/backend integration
- Optimizing model inference (vLLM, TensorRT)
- Final Demo Day presentations
Target Roles & Career Paths
AI Engineer
Machine Learning Engineer
AI Product Builder
Founding AI Engineer
These are the primary roles you will be equipped to apply for upon successful completion of the course and portfolio projects.