MLOps World: Machine Learning in Production Courses

Hope is Not a Strategy - Retrieval Patterns for MCP

1 rating

Discover structured retrieval patterns to move beyond "plug and pray" MCP implementations and achieve reliable LLM performance in production environments.

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

Building Multi-Cloud GenAI Platforms Without the Pain

1 rating

Discover how to build unified multi-cloud GenAI platforms using SkyPilot to overcome GPU shortages, reduce costs, and eliminate vendor lock-in across AWS, GCP, Azure, and more.

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

Testing AI Agents - A Practical Framework for Reliability and Performance

1 rating

Discover how to build robust testing frameworks for AI agents in production, covering regression testing, adversarial validation, and automated pipelines for reliability at scale.

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

Bridging Worlds with Words - Innovations at the Lee Language Lab

1 rating

Explore URIEL+, an enhanced language knowledge base with typological features for 4,000+ languages, plus ExploRIEL interface for accessible linguistic analysis and inclusive tech.

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

Reward Function As A Service: A Relatively Easy Recipe for Training Your Own Reasoning Model

Discover a template for post-training Deepseek-style LLMs with custom reward functions, allowing model customization for domains that can be evaluated programmatically through Python functions.

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

Building a Deep Research with Open-Source - Understanding Modern Research Agents

Explore the concepts behind modern research agents by examining an open-source clone of OpenAI's Deep Research, with insights from Stefan Webb on how this technology synthesizes diverse information.

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

Teaching AI to Reason: Reinforcement Fine-Tuning for Multi-Turn Agentic Workflows

Discover how reinforcement fine-tuning enables more reliable LLM performance in complex agentic tasks by defining reward functions that shape model behavior across multiple turns, reducing costs while improving precision.

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

Beyond Gemini: Using Reinforcement Learning to Unlock Reliable AI Agents with Open LLMs

Explore how reinforcement learning enables fine-tuning open-source LLMs to create AI agents that outperform larger models like Gemini, featuring techniques like agentic RAG and self-play for educational applications.

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

Beyond Benchmarks: Rethinking How We Evaluate LLMs in High-Stakes Environments

Explore the challenges of evaluating LLMs in critical applications, from factual accuracy to ethical alignment, and learn about compositional quality tuning frameworks that balance trade-offs between different evaluation dimensions.

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

All the Flavors of AI-powered Search

Explore the evolution of AI-powered search, from basic vector search to advanced multivector representations like ColPali, and understand its crucial role in RAG systems for improved AI responses.

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

Closing the Reliability Gap: Practical Strategies with Guarantees for Trustworthy GenAI

Explore practical strategies for improving GenAI reliability in production systems, from identifying factual errors to implementing remediation techniques that create trustworthy AI systems requiring minimal human oversight.

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

Workflows Then Agents: The Practical Approach to Enterprise AI

Discover how to build reliable LLM workflows that solve real business problems before diving into complex agent architectures for practical enterprise AI implementation.

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

Trading Copilot - Smarter Insights, Confident Trades

Discover how FinSage, a multi-agent framework, helps traders analyze complex market data by filtering noise and delivering relevant insights. Learn about its six specialized agents and how they work together to provide personalized trading recommendation…

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

Eval++: Why LLM Evaluation Alone Isn't Enough

Discover why traditional LLM evaluation falls short and how Eval++ puts users at the center of development, turning implicit feedback into actionable insights for building trustworthy AI products users love.

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

AI Agent Observability - Monitoring and Debugging Complex Autonomous Systems

Explore the emerging field of AI Agent Observability with strategies for monitoring, debugging, and improving autonomous AI systems through logging, monitoring, and evaluation metrics.

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