MLOps.community Courses

AI for Good - Detecting Harmful Content at Scale

Explore AI-driven strategies for detecting harmful online content at scale, optimizing speed and accuracy while addressing cultural sensitivities and evolving challenges in content moderation.

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

Accelerating Multimodal AI - From Tabular ML to Generative Video Systems

Explore challenges and solutions in multimodal AI, from data management to efficient inference. Learn about systems supporting research and productionization in generative video and language models.

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

Fresh Data and Smart Retrieval: Milvus and Jina CLIP Explained - MLOps Mini Summit 7

Explore vector database updates, Milvus mechanics, and Jina CLIP's novel multi-task contrastive training for enhanced multimodal and text-based retrieval systems. Master data freshness in high-throughput, low-latency scenarios.

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

Navigating the AI Frontier: The Power of Synthetic Data and Agent Evaluations in LLM Development

Explore synthetic data and agent evaluations in LLM development. Learn strategies for enhancing model behavior, prototyping, testing, and fine-tuning to build robust AI applications.

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

Building Production-Ready AI Models for Manufacturing - LatticeFlow Roundtable

Explore production-ready AI models for manufacturing with industry experts. Uncover solutions to data challenges, model failures, and integration issues for robust, safe AI systems.

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

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

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