Generative AI
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Understand foundation models, LLMs, transformers, prompting, generation patterns, multimodality, RAG and the lifecycle of building generative-AI applications.
- Introduction to Generative AI — Google Cloud Tech (22 min)
Best concise foundation: what generative AI is, how it differs from traditional ML, model types and common use cases. - AI, Machine Learning, Deep Learning and Generative AI Explained — IBM Technology (10 min)
Places GenAI correctly inside the broader AI/ML/DL landscape with a simple enterprise-friendly mental model. - Transformers, the tech behind LLMs — 3Blue1Brown (27 min)
World-class visual explanation of the transformer mechanics that power modern text generation.
- Introduction to Large Language Models — Google Cloud Tech
A deeper treatment of the same skill; use it to move from concept to working patterns. - Building Chat Applications — Microsoft Developer
A deeper treatment of the same skill; use it to move from concept to working patterns. - Generative AI for Beginners (Full Series) — Microsoft Developer
A deeper treatment of the same skill; use it to move from concept to working patterns.
- Semantic Search with Pinecone — DataCamp
Extend Generative AI into senior/production practice through Embeddings. - Let's Build GPT From Scratch — Andrej Karpathy
Extend Generative AI into senior/production practice through ML Foundations & GenAI. - Prompting 101 | Code w/ Claude — Anthropic
Extend Generative AI into senior/production practice through Prompt & Context Engineering.