Master AI Engineering Diploma โ The Complete 12-Course Journey
12 integrated tracks โ from zero to production-ready AI engineering
Use the filter to jump to your track. Coming Soon tracks are visible to explore and register interest.
Math โ ML โ Deep Learning โ LLMs & Agents.
Covers the whole track end-to-end.
12 integrated tracks โ from zero to production-ready AI engineering
Focused diplomas for a specific goal.
Build agents, RAG systems, and multi-step LLM workflows on strong foundations
The most structured first step into AI engineering
Start with the foundations, then specialize in computer vision and generative vision
The full path from text fundamentals to GPT, RAG, and modern language AI
Pick any course on its own โ every one is purchasable individually.
Time series, recommenders, imbalance, RL, and ML system design
A guest-led overview of where AI creates value in the real world
From OpenCV and PyTorch to detection, segmentation, tracking, and generative vision
Clean data, build robust features, and eliminate leakage
Neural networks, CNNs, RNNs, transformers, and generative models
Prompting, embeddings, RAG, agents, fine-tuning, and deployment
From baselines to evaluation, interpretation, and an end-to-end ML project
Linear algebra, calculus, probability, and statistics for AI engineers
From preprocessing and embeddings to transformers, GPTs, RAG, and evaluation
Start right: learning strategy, tooling, and a professional setup
From fundamentals to practical projects and data science tooling
Profiling, PTQ, QAT, ONNX export, and efficient LLM serving