AI Engineer Courses

How Fast Are LLM Inference Engines Anyway?

Discover benchmarking results from hundreds of LLM inference runs across models, frameworks, and hardware to optimize your self-hosted deployment decisions.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

RAG in 2025 - State of the Art and the Road Forward

Explore the future of RAG technology, comparing it with finetuning and long-context approaches, while uncovering current challenges and tomorrow's AI-driven solutions.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

Architecting Agent Memory - Principles, Patterns, and Best Practices

Discover how to build intelligent AI agents with sophisticated memory systems inspired by human cognition, covering implementation patterns, vector databases, and production-ready strategies.

• YouTube
• 18 minutes
• Self-Paced
• Free Video

The State of AI Powered Search and Retrieval

Explore advanced AI-powered search techniques including hybrid search, reranking, query decomposition, and fine-tuned embeddings with MongoDB's Frank Liu.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

Why Your Agent's Brain Needs a Playbook - Practical Wins from Using Ontologies

Discover how ontologies provide the perfect middle ground between rigid workflows and chaotic LLM behavior, bringing structure and semantics to GenAI applications through practical examples.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

GraphRAG Methods to Create Optimized LLM Context Windows for Retrieval

Discover GraphRAG techniques for optimizing LLM context windows in retrieval systems with Microsoft's Senior Principal Data Architect Jonathan Larson.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

Agentic GraphRAG - Simplifying Retrieval Across Structured and Unstructured Data

Discover how GraphRAG simplifies agentic workflows by mapping information into knowledge graphs, improving retrieval quality across structured and unstructured data with practical examples.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

Revenue Engineering - How to Price and Reprice Your AI Product

Master the engineering behind AI product pricing systems that scale with your stack and support real-world monetization from metering to enterprise contracts.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

"Data Readiness" is a Myth - Reliable AI with an Agentic Semantic Layer

Discover how to build AI-maintained semantic data layers that dramatically improve reliability of conversational analytics, RAG systems, and agentic AI workflows beyond traditional approaches.

• YouTube
• 17 minutes
• Self-Paced
• Free Video

Events are the Wrong Abstraction for Your AI Agents

Discover why event-driven architecture creates complexities in AI agent systems and how durable execution provides a superior abstraction for building distributed AI agents.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

Prompt Engineering is Dead - Test-Driven Automated Approach to AI Optimization

Discover how to replace manual prompt crafting with automated, test-driven approaches using output evaluators and agent iteration for optimal AI performance without hand-tuning.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

The Eyes Are The Context Window to The Soul - How Windsurf Gets to Know You

Explore how Windsurf AI IDE achieves context awareness by balancing retrieval quality with latency constraints while scaling across massive codebases for predictive coding.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

Mastering Engineering Flow with Windsurf

Discover how Windsurf's agentic IDE enhances engineering flow beyond basic AI assistance, enabling complex problem-solving and automated workflows for experienced developers.

• YouTube
• 15 minutes
• Self-Paced
• Free Video

What Does Enterprise Ready MCP Mean?

Discover how to transform MCP servers from demos into production-ready enterprise solutions with authentication, permissions, security, SSO, audit logs, and agent oversight.

• YouTube
• 14 minutes
• Self-Paced
• Free Video

CI in the Era of AI - From Unit Tests to Stochastic Evals

Explore how continuous integration evolves with AI components, shifting from deterministic tests to stochastic evals that embrace uncertainty as a feature rather than a bug.

• YouTube
• 15 minutes
• Self-Paced
• Free Video