Build real AI. Zero fluff, 100% hands-on engineering.

Hands-on Curriculum

• 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

Hands-on Curriculum

• Implement a production-grade RAG pipeline
• Fine-tune Llama 3 using PEFT and LoRA
• Build AI agents with LangChain and AutoGen
• Deploy open-source LLMs using vLLM

Hands-on Curriculum

• Train YOLOv9 for custom object detection
• Implement real-time pose estimation algorithms
• Build an automated defect detection system
• Deploy CV models using NVIDIA TensorRT

Hands-on Curriculum

• Build a multilingual sentiment analysis API
• Train custom Word2Vec and transformer embeddings
• Develop a semantic search engine using Vector DBs
• Deploy a conversational customer support bot

Hands-on Curriculum

• Develop time-series forecasting models using LSTMs
• Build an algorithmic trading bot with backtesting
• Implement credit risk scoring using XGBoost
• Extract financial sentiment from news feeds

Hands-on Curriculum

• Containerize AI models using Docker
• Build CI/CD pipelines for ML models with GitHub Actions
• Scale model inference using Kubernetes
• Implement model drift monitoring and alerting

Hands-on Curriculum

• Implement Q-Learning from scratch
• Train a Deep Q-Network (DQN) to play Atari games
• Apply PPO (Proximal Policy Optimization) to robotics simulations
• Build a multi-agent trading environment

Hands-on Curriculum

• Quantize and prune neural networks for edge devices
• Deploy models onto Raspberry Pi and Jetson Nano
• Build a wake-word detection system for microcontrollers
• Implement real-time inference on iOS/Android

Hands-on Curriculum

• Train a CNN for tumor detection in MRI scans
• Build predictive models using Electronic Health Records (EHR)
• Implement federated learning for privacy-preserving AI
• Deploy a medical image segmentation API (U-Net)

Hands-on Curriculum

• Train a custom GAN for face generation
• Fine-tune Stable Diffusion using DreamBooth
• Build an AI-powered image editing pipeline
• Generate synthetic voice audio using VITS

Hands-on Curriculum

• Clean and process big data using PySpark
• Build an end-to-end customer churn prediction pipeline
• Develop interactive data dashboards using Streamlit
• Perform A/B testing and statistical significance analysis

Hands-on Curriculum

• Design tool-use architectures with LangChain
• Build collaborative agent teams using AutoGen and CrewAI
• Implement long-term memory for conversational agents
• Deploy an autonomous coding assistant

Hands-on Curriculum

• Optimize LLM inference latency with vLLM
• Implement semantic caching with Redis
• Set up observability using LangSmith
• Build a production-ready Next.js + FastAPI SaaS

Hands-on Curriculum

• Implement Hybrid Search (Dense + Sparse retrieval)
• Build a Knowledge Graph using GraphRAG
• Improve accuracy with Cross-Encoder reranking
• Evaluate RAG pipelines using RAGAS

Hands-on Curriculum

• Master the Vercel AI SDK
• Render dynamic React components from LLM outputs
• Implement robust markdown and code block parsing
• Build a real-time Voice-to-Voice WebRTC interface