Courses from 1000+ universities
$7.2 billion in combined revenue since 2020. $8 billion in lost market value. This merger marks the end of an era in online education.
600 Free Google Certifications
Computer Science
Psychology
Microsoft Excel
Lean Production
Viruses & How to Beat Them: Cells, Immunity, Vaccines
Learn Like a Pro: Science-Based Tools to Become Better at Anything
Organize and share your learning with Class Central Lists.
View our Lists Showcase
Explore modern data management practices, including data contracts and observability, to improve handling and decision-making in the age of AI and cloud computing.
Explore LLMOps essentials: impact assessment, risk management, and maturity evaluation. Gain insights on bridging gaps between data science, infrastructure, and IT teams for effective LLM deployment.
Explore how AI can address environmental challenges through remote sensing and high-performance computing. Learn about MLOps best practices, tight feedback loops, and the importance of sustainability in AI development.
Explore innovative Gen AI applications beyond text, focusing on molecule discovery and call center optimization. Learn about chemical language models, RAG use cases, and efficient pipeline architectures.
Explore DeepSpeed's optimizations for efficient distributed training of large-scale deep learning models, addressing memory, compute, and data challenges in extreme model scaling.
Explore challenges and trends in Generative AI production, including model size, context windows, multimodality, and regulation. Gain insights from Gemini 1.0 vs 1.5 comparisons and industry expert Verena Weber's experiences.
Explore the fusion of robotics and AI in creating dynamic NPCs for games. Learn how multi-modal LLMs enable interactive virtual characters through simulation-based training techniques.
Explore how language models process text and represent meaning through embeddings. Gain insights into building better retrieval-augmented LLM systems and designing natural interfaces for reading and writing.
Explore fine-tuning models for health insurance appeals, cloud resource utilization, and on-premises Kubernetes deployment. Learn about unexpected challenges in server setup and graphics card installation.
Explore the transition to open source ML models for production, focusing on security, performance, and scalability. Learn how AI companies leverage these models for core workloads.
Explore Tecton's journey in developing a Python-based platform for powering large-scale real-time AI applications. Learn about reliable solutions for productionizing AI using only Python skills.
Explore the challenges and best practices for deploying robust, scalable ML systems in production. Learn about key focus areas, recommended tools, and ecosystem insights for effective MLOps at scale.
Learn essential steps for transitioning LLMs to production, focusing on fine-tuning and alignment strategies. Explore Supervised Fine-Tuning, RLHF, and DPO for effective LLM alignment with production goals.
Navigate the iterative development of LLM applications, addressing unique challenges in LLMOps design. Learn strategies for overcoming obstacles and adapting to the evolving landscape of large language model operations.
Explore ML team expectations from business stakeholders, AI in software development, and successful entrepreneurship strategies with insights from tech industry expert Peter Guagenti.
Get personalized course recommendations, track subjects and courses with reminders, and more.