MLOps World: Machine Learning in Production Courses

How MLOps Tools Will Need to Adapt to Responsible and Ethical AI - Stay Ahead of the Curve

Explore ethical AI guardrails for MLOps platforms, focusing on GDPR compliance, data privacy, and future regulatory requirements. Learn to implement responsible AI practices in machine learning operations.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Accelerating Transformers with Hugging Face Optimum and Infinity

Explore techniques to accelerate Transformer models using Hugging Face's Optimum library and Infinity solution for millisecond-scale latencies in production environments.

• YouTube
• 1 hour 28 minutes
• On-Demand
• Free Video

Defending Against Decision Degradation with Full Spectrum Model Monitoring - Case Study and AMA

Explore Lyft's comprehensive ML model monitoring system, preventing degradation in high-stakes decisions for pricing, safety, and fraud detection. Learn about real-time validation and cultural shifts in ML practices.

• YouTube
• 56 minutes
• On-Demand
• Free Video

Lessons Learned from DAG-Based Workflow Orchestration

Explore DAG-based workflow orchestration challenges and learn about Prefect Orion's DAG-less system for enhanced runtime flexibility and developer experience in data pipelines.

• YouTube
• 39 minutes
• On-Demand
• Free Video

Machine Learning Infrastructure at Meta Scale

Explore Meta's reimagined AI infrastructure stack, addressing challenges in scaling ML models for ranking and recommendation systems serving billions of users.

• YouTube
• 37 minutes
• On-Demand
• Free Video

MLOps Beyond Training - Simplifying and Automating the Operational Pipeline

Explore a production-first approach to MLOps, automating operational pipelines for measurable ROI. Learn to design continuous workflows, integrate components, and simplify the transition from research to scalable production.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Top 5 Lessons Learned in Helping Organizations Adopt MLOps Practices

Discover key insights and strategies for implementing MLOps practices at scale. Learn common challenges and effective mitigation techniques for successful organizational adoption.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Building Real-Time ML Features with Feast, Spark, Redis, and Kafka

Explore core concepts of Feast, an open-source feature store, and its integration with Spark, Redis, and Kafka for efficient machine learning data infrastructure.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Implementing MLOps Practices on AWS using Amazon SageMaker

Implement ML pipelines with CI/CD practices using SageMaker Pipelines. Gain hands-on experience in MLOps, incorporating DevOps principles into machine learning workflows for scalable and efficient model deployment.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Deploying and Managing Machine Learning Models at Scale - A Hands-On Workshop

Deploy and manage ML models at scale. Hands-on workshop covers creation, deployment, monitoring, and management using real-life scenarios. Gain practical experience with Seldon Deploy, explainers, and outlier detection.

• YouTube
• 48 minutes
• On-Demand
• Free Video

Critical Use of MLOps in Finance Using Cloud-Managed ML Services That Scale

Leverage MLOps to improve quality and consistency of machine learning solutions in finance. Accelerate model experimentation, deployment, and tracking using cloud-managed services for efficient scaling.

• YouTube
• 38 minutes
• On-Demand
• Free Video

Personalized Recommendations and Search with Retrieval and Ranking at Scale - Hopsworks Workshop

Implement personalized recommendations using retrieval and ranking architecture with two-tower embedding models. Learn offline and online infrastructure for scalable, low-latency systems on Hopsworks platform.

• YouTube
• 2 hours 1 minute
• On-Demand
• Free Video

Testing Recommender Systems in the Wild - MLOps World

Explore behavioral testing for recommender systems using RecList. Scale up real-world testing in research and production with hands-on coding and practical examples.

• YouTube
• 1 hour 9 minutes
• On-Demand
• Free Video

Managing Human in the Loop Systems Without Burning Out Your Engineers

Explore strategies for managing human-in-the-loop systems efficiently, focusing on Pinterest's approach to labeling, training, and measuring shopping content quality with minimal engineering effort.

• YouTube
• 38 minutes
• On-Demand
• Free Video

Automated Machine Learning Tuning with FLAML

Explore automated machine learning and tuning using FLAML, a fast Python library. Learn to automate ML tasks, perform general tuning, and conduct zero-shot AutoML efficiently.

• YouTube
• 2 hours 59 minutes
• On-Demand
• Free Video