ML Foundations & GenAI
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10 lessons3 levels1 capstone project
Build the bridge from classical machine learning to modern generative AI: supervised/unsupervised learning, features and labels, training/validation, neural networks and deep learning, embeddings, transformers, foundation models, inference, evaluation and when to use ML versus GenAI.
BASIC
- Machine Learning Explained: A Guide to ML, AI & Deep Learning — IBM Technology (12 min)
Modern ML foundation covering supervised, unsupervised and reinforcement learning and how they relate to today's LLM systems. - AI, Machine Learning, Deep Learning and Generative AI Explained — IBM Technology (10 min)
Best concise bridge from traditional AI/ML to foundation models and generative AI. - Transformers, the Tech Behind LLMs — 3Blue1Brown (27 min)
World-class visual explanation of the neural-network architecture powering modern GenAI.
INTERMEDIATE
- Introduction to Generative AI — Google Cloud Tech
Apply ML Foundations & GenAI through the adjacent capability: Generative AI. - Generative AI for Beginners (Full Series) — Microsoft Developer
Apply ML Foundations & GenAI through the adjacent capability: Generative AI. - Fine- tuning Open LLMs on GKE — Google Cloud Tech
Apply ML Foundations & GenAI through the adjacent capability: Fine-Tuning & Model Adaptation.
ADVANCED
- Building Text Generation Applications — Microsoft Developer
Extend ML Foundations & GenAI into senior/production practice through Generative AI. - Building Chat Applications — Microsoft Developer
Extend ML Foundations & GenAI into senior/production practice through Generative AI. - Step by Step — Machine Learning Project Workflow
Extend ML Foundations & GenAI into senior/production practice through Machine Learning.