Courses from 1000+ universities
AI got cheap enough that Duolingo’s most expensive plan may not survive it. I read the earnings call transcript and opened the app to see what is actually changing for learners.
600 Free Google Certifications
Artificial Intelligence
IT & Networking
Software Engineering
Supporting Victims of Domestic Violence
Know Thyself - The Value and Limits of Self-Knowledge: The Examined Life
Understanding Dementia
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Discover how Marius optimizes machine learning on billion-edge graphs, achieving 10x faster and 5x cheaper training through innovative data flow architecture and resource utilization.
Discover how to build and scale ML services for health and wellness products, reducing release time by 85% using open-source tools like DBT, AirFlow, and MLFlow.
Explore Drifter-ML, a testing framework ensuring ML models meet training assumptions. Learn motivations and practical examples for model testing.
Create, deploy, monitor, and manage a customer segmentation ML model using Seldon Deploy. Explore e-commerce data, train models, deploy artifacts, and update with explainers and outlier detectors.
Diagnose pitfalls in ML organizations. Learn to improve project velocity, practitioner happiness, and ML adoption across business objectives. Gain insights from Yelp's decade-long ML journey.
Explore Avast's MLOps journey, tooling, and cultural shift for enhanced ML productivity. Learn strategies for model tracking, storage, orchestration, and E2E deployments in large-scale ML pipelines.
Learn strategies to mitigate ML model performance drift in production environments, incorporating non-technical collaborators and integrating ML into agile frameworks for long-term success.
Explore scaling challenges and solutions for multi-armed bandits in online experimentation, including a new method for efficient, deterministic Thompson sampling at Stitch Fix.
Explore how a Feature Store decomposes ML pipelines, separating feature and model processes for improved efficiency and team collaboration in machine learning operations.
Explore strategies to identify and mitigate bias in AI systems, enhancing fairness and ethical decision-making in machine learning applications.
Discover Kubeflow pipelines: create environments, build and upload pipelines, and set up retraining schedules in this hands-on workshop for MLOps practitioners.
Explore structured learning for private data generation using HoloClean and Kamino frameworks. Learn to preserve data correlations while ensuring privacy in synthetic data instances.
Accelerate AI deployment with MLOps orchestration. Learn to integrate tools, streamline processes, and handle complex use cases for efficient ML application development and continuous delivery in production environments.
Explore next-gen AI processors, computational challenges in machine learning, and innovative approaches to efficient processing beyond traditional GPU solutions.
Discover strategies to prevent data and model drift, ensuring ML models maintain performance and value over time in production environments.
Get personalized course recommendations, track subjects and courses with reminders, and more.