AI/ML · Post Grad and Professional
Advanced RAG Masterclass
Take Retrieval-Augmented Generation from a demo to a production system: chunking and embeddings, vector indexes at scale, hybrid search, reranking and query transformation, rigorous evaluation, keeping knowledge fresh, agentic and graph-based RAG, memory, and multimodal documents.
27 lessons
AI/ML · Undergrad to Professional
How to Crack the AI Engineer Interview
A map of what AI engineer and GenAI interviews actually test, and the study path through it: machine learning foundations, transformer internals, efficiency, alignment and fine-tuning, prompting and retrieval, evaluation, and the failure modes every interviewer asks about.
17 lessons