Courses from 1000+ universities
17 years ago, Krishna Kumar started offering free PMP prep online. Today, it’s a leading digital upskilling platform that helps millions upskill in AI, cybersecurity, data science, and more.
600 Free Google Certifications
Fundamentals of Neuroscience, Part 1: The Electrical Properties of the Neuron
Organic Chemistry 1
Mountains 101
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Explore open-source tools for building safe, fair AI models. Learn to address robustness, bias, and data leakage challenges using the LangTest library in MLOps workflows.
Explore key learnings from a 4-year MLOps journey in pharmaceutical research, addressing challenges in tool selection, user diversity, and scalable solutions for operationalizing ML models.
Explore Ford's AI/ML platform journey, from inception to present day. Learn about product strategy decisions, challenges, and organizational hurdles in modernizing a traditional company.
Explore the evolution of intelligent writing assistants, their challenges, and future potential in enhancing effective communication through advanced language models and human feedback.
Explore low-latency model inference in finance using Seldon V2, focusing on high resilience and rapid service response for critical business applications.
Explore synthetic data's transformative potential in AI, focusing on data quality, augmentation, bias, and privacy for foundational language models.
Explore distributed model training techniques to enhance recommender systems, boosting performance and scalability for production environments.
Discover a step-by-step approach to building a scalable ML infrastructure. Learn to identify key areas for improvement, implement modular components, and enhance your end-to-end ML lifecycle for efficient, automated operations.
Explore Pinterest Ads' ML infrastructure evolution, from logistic regression to transformer models, and learn key challenges and lessons in revolutionizing ad capabilities.
Explore quality assurance in machine learning, its importance, and strategies for enhancing AI trustworthiness through lessons from other disciplines and best practices in MLOps and data science.
Explore how anti-fraud MLOps practices can simplify architectures, enhance observability, and boost agility across various ML domains.
Discover techniques to enhance ChatGPT's humor through prompt engineering, overcoming AI limitations and unlocking its comedic potential.
Gain practical tools and best practices for evaluating and selecting large language models. Explore evaluation suites, competition approaches, and ethical considerations.
Explore lessons from implementing large language models for Stripe's support operations, focusing on answering user questions efficiently with minimal training data.
Explore Instacart's transition to real-time machine learning, focusing on infrastructure, use cases, challenges, and key lessons for implementing ML in a dynamic marketplace.
Get personalized course recommendations, track subjects and courses with reminders, and more.