MLOps.community Courses

GraphBI: Expanding Analytics to All Data Through the Combination of GenAI, Graph, and Visual Analytics

Explore GraphBI, a revolutionary approach combining GenAI, graph technology, and visual analytics to unlock insights from all data types—not just the 20% that's structured—featuring experts Paco Nathan and Weidong Yang.

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

Building Robust AI Systems with Battle-tested Frameworks - Mini Summit #10

Discover strategies for robust LLM deployment in production with Boundary ML's Vaibhav Gupta and Modal's Charles Frye, covering structured prompting, error handling, and serverless Python infrastructure for AI applications.

• YouTube
• 1 hour 8 minutes
• Self-Paced
• Free Video

What is MLOps? - The Evolution of Model Deployment in AI

Explore the evolving definition of MLOps with Oleksandr Stasyk as he discusses how traditional software engineering practices remain crucial in today's AI-driven landscape and the journey from model conception to production.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

GenAI Traffic: Why API Infrastructure Must Evolve Again

Explore the challenges of GenAI traffic and why traditional API infrastructure falls short. Learn how AI workloads demand new gateway solutions for token-based rate limiting, cost-aware request shaping, and scalable inference traffic.

• YouTube
• 1 hour 6 minutes
• Self-Paced
• Free Video

The Future of AI: Building Multi-Agent Systems

Explore how multi-agent systems can overcome LLM implementation challenges in enterprise settings through specialized architectures like Assembly Line, Call Center, and Manager-Worker models for improved scalability and reliability.

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

Product Metrics are LLM Evals - Making AI Products More Accurate and Reliable

Discover how to build more accurate and reliable AI products by shortening feedback loops, iterating on prompts, and implementing effective LLM evaluation strategies.

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

Packaging MLOps Tech Neatly for Engineers and Non-engineers

Discover how to simplify MLOps deployment with open-source platforms that work across environments, from laptops to supercomputers, making AI accessible for all teams.

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

Everything Hard About Building AI Agents Today

Explore the three critical gaps in human-AI interaction and learn practical evaluation techniques for building production-ready AI agents that move beyond subjective feedback.

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

RAG from Scratch with Best Practices

Explore Retrieval-Augmented Generation (RAG) implementation from the ground up, focusing on industry best practices and optimization techniques.

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

Getting AI Apps Past the Demo - MLOps Engineering Practices for Production

Discover practical strategies for moving AI applications from demo stage to production with BAML creator Vaibhav Gupta, covering engineering practices and real-world implementation challenges.

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

Benchmarking Intelligence - ARC Prize and AI Evaluation Strategies

Explore AI benchmarking strategies, from human-easy puzzles that challenge models to measuring intelligence through learning speed and the philosophical quest toward AGI.

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

Hard Learned Lessons from Over a Decade in AI

Discover hard-earned insights from a decade of AI implementation, covering ML maturity curves, revenue-generating use cases, and the critical role of feature stores in production systems.

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

Mem0 - Building Production-Ready AI Agents with Scalable Long-Term Memory

Explore Mem0's scalable long-term memory architecture for production-ready AI agents using graph-based structures to enhance accuracy and coherence in conversational AI systems.

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

Tricks to Fine Tuning - Advanced Techniques for Model Training Without Labels

Explore Tao fine-tuning techniques with Prithviraj Ammanabrolu as he breaks down this innovative approach using reinforcement learning and synthetic data to help models self-improve without labeled data.

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

Building Replit Agent: Hard Lessons Learned from Scale and Adaptation

Dive into the challenges and insights of scaling Replit's AI agent system, from initial development to organization-wide implementation and engineering adaptations.

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