Category
Generative AI
Learn generative AI from model and prompt fundamentals through embeddings, RAG, agents, multimodal systems, training, evaluation, LLMOps, security, governance and frontier research.
Generative AI subjects
4 available
Beginner
Build foundations in generative AI, machine learning, language models, transformers, prompt engineering, embeddings, vector databases, RAG, model APIs and media generation.
Intermediate
Develop generative models with advanced transformer architectures, distributed training, fine-tuning, alignment, agents, agent protocols, advanced RAG and multimodal systems.
Advanced
Engineer production generative AI with evaluation, LLMOps, serving, observability, inference optimization, security, red teaming, responsible AI and governance.
Research Level
Investigate foundation-model scaling, reasoning, autonomous agents, long-term memory, synthetic data, multimodality, diffusion, retrieval, interpretability, alignment and frontier applications.