▶Hands-on reviewedEditor's pick
YouTube
Neural Networks: Zero to Hero (Andrej Karpathy)
For: Engineers who plan to train, fine-tune, or research LLMs at depth
Advanced · ~25 hours (11 lectures) · Free
All AI courses, filterable
The full editor-reviewed catalog. Filter by provider, level, format, pricing or topic. Every combination is a shareable URL.
10 courses · 4 filters active
Topic
DL.AIHands-on reviewed
DeepLearning.AI
Building Agentic RAG with LlamaIndex
For: Engineers whose basic RAG works in dev but fails in prod
Advanced · ~2 hours (4 lessons) · Free
DL.AIHands-on reviewed
DeepLearning.AI
Multi AI Agent Systems with crewAI
For: Engineers prototyping multi-agent workflows
Intermediate · ~1.5 hours (6 lessons) · Free
DL.AIHands-on reviewed
DeepLearning.AI
Vector Databases: from Embeddings to Applications
For: Engineers about to commit to a vector DB choice
Intermediate · ~1.5 hours (5 lessons) · Free
DL.AIHands-on reviewed
DeepLearning.AI
Building and Evaluating Advanced RAG Applications
For: Engineers whose basic RAG works in dev but fails in prod
Advanced · ~1.5 hours (5 lessons) · Free
DL.AICurated
DeepLearning.AI
AI Agentic Design Patterns with AutoGen
For: Engineers wanting the conceptual map of agentic design patterns
Intermediate · ~1.5 hours · Free
WVCurated
Weaviate Academy
Weaviate Academy (open-source RAG)
For: Engineers building self-hosted RAG (privacy/cost-sensitive)
Intermediate · Variable (~10-15 hours full series) · Free
PCCurated
Pinecone Learn
Pinecone Learn (vector DB + RAG)
For: Engineers learning vector DBs and RAG from first principles
Intermediate · Variable (~15-25 hours full series) · Free
AWSListed
AWS Training
AWS Generative AI Learning Plan
For: Engineers at AWS-stack companies
Intermediate · ~20-40 hours (modular) · Free
GCListed
Google Cloud Skills Boost
Google Cloud Generative AI Learning Path
For: Engineers and PMs at GCP-stack companies
Beginner · ~25-30 hours (10 courses) · Free