MLOps.community Courses

From Robotics to Recommender Systems - MLOps Podcast #240

Explore robotics, computer vision, and recommender systems with Miguel Fierro. Gain insights on ML applications, sports analytics, and AI integration in various fields from a Microsoft Principal Data Science Manager.

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

Uber's Michelangelo: Strategic AI Overhaul and Impact - MLOps Podcast

Explore Uber's Michelangelo platform evolution, from basic ML predictions to advanced deep learning and generative AI, addressing challenges and introducing innovative features for streamlined AI operations.

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

AWS Trainium and Inferentia - Enhancing AI Performance and Cost Efficiency

Explore AWS Trainium and Inferentia's AI accelerators for enhanced performance, cost savings, and seamless integration with popular frameworks. Learn about their benefits and implementation in ML workflows.

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

Build Reliable Systems with Chaos Engineering - MLOps Podcast #237

Explore chaos engineering to build reliable systems under unpredictable conditions. Learn benefits, trends, and integration with ML systems for improved resilience and observability.

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

Managing Small Knowledge Graphs for Multi-agent Systems - MLOps Podcast #236

Explore knowledge graph management for multi-agent systems, focusing on structural grounding, selective improvement, and end-to-end reliability. Learn strategies to enhance RAG accuracy and repeatability in AI pipelines.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

AI's Impact on Software Documentation - Rewriting the Developer Education Playbook

Explore the evolving landscape of software documentation in the AI era. Learn strategies for creating high-quality, findable content and adapting to new challenges in developer education.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Evaluating Language Models - Challenges and Best Practices

Explore challenges and solutions for evaluating language models, including metrics, datasets, and continuous assessment in production. Learn to address biases and contribute to public evaluation efforts.

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

Open Standards Make MLOps Easier and Silos Harder - MLOps Podcast Episode 234

Explore open standards in MLOps for easier data system integration, scalability, and collaboration. Learn about Ibis, Apache Arrow, and their impact on data engineering and machine learning workflows.

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

Retrieval Augmented Generation - Techniques and Applications

Explore Retrieval Augmented Generation with Syed Asad. Dive into production issues, embedding models, inference layer experiments, and the evolving landscape of AI engineering in this insightful discussion.

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

RecSys at Spotify - Building and Evaluating Large-Scale Recommender Systems

Explore Spotify's large-scale recommender systems, foundational embeddings for transfer learning, evaluation methods, and MLOps challenges with Senior ML Engineer Sanket Gupta.

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

AI Innovations: The Power of Feature Platforms - MLOps Mini Summit

Explore feature platforms for production AI, including Tecton's unified approach, Cleo's custom solution, and DIY strategies for building scalable, flexible ML infrastructures.

• YouTube
• 1 hour 5 minutes
• Self-Paced
• Free Video

FedML Nexus AI: Generative AI Platform at Scale - MLOps Podcast #230

Explore FedML Nexus AI, a scalable platform for building and commercializing generative AI applications. Learn about enterprise AI, model deployment, federated learning, and secure, privacy-preserving machine learning.

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

What is AI Quality? - Understanding Standards and Testing in AI Systems

Explore AI Quality with Mohamed Elgendy, discussing domain-specific standards, comprehensive testing, and the need for collaboration in setting effective, innovation-friendly quality benchmarks for AI systems.

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

Streamlining Model Deployment - AI in Production

Explore strategies for optimizing AI model deployment pipelines, including open governance, runtime benchmarks, and dynamic routing. Learn to make AI deployments faster, cheaper, and more accurate in a rapidly evolving landscape.

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

Handling Multi-Terabyte LLM Checkpoints - MLOps Podcast #228

Explore techniques for handling multi-terabyte LLM checkpoints, including storage options, saving and loading strategies, and infrastructure considerations for large-scale AI model training.

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