AI courses
Check out our newest GenAI course, LLM Apps: Evaluation, created in collaboration with Google Gemini and All Hands AI teams.
LLMS
OpenAI
Work with reasoning models to build production-grade AI agents that can autonomously tackle complex workflows, from deep analysis to support agents. Learn to architect and evaluate robust systems that combine LLMs, tools, memory, and planning to ship real-world applications.
LLMS
Google
All Hands AI
Develop techniques for building, optimizing, and scaling AI evaluators with minimal human input. Learn to build reliable evaluation pipelines for LLM applications by combining programmatic checks with LLM-based judges.
LLMS
Cohere
Weaviate
Practical RAG techniques for engineers: learn production-ready solutions from industry experts to optimize performance, cut costs, and enhance the accuracy and relevance of your applications.
LLMS
Autogen AI
This course covers everything you need to get started with prompt engineering, from system prompts and structural techniques to model-specific strategies. Using a text-understanding use case, you will gain experience with code and industry knowledge.
LLMS
Improve your LLM engineering skills with Jason Liu, the author of the Instructor library. Learn about structured JSON output handling, function calling, complex validations with Pydantic and more in this short and helpful course!
LLMS
Chroma
Guardrails AI
Learn how to build LLM-powered applications using LLM APIs, Langchain and Weights & Biases LLM tooling. This course will guide you through the entire process of designing, experimenting, and evaluating LLM-based apps.
LLMS
Mosaic ML
Learn to harness the power of LLMs with our comprehensive course. Discover the importance and history of LLMs, explore their architecture, training techniques, and fine-tuning methods. Gain hands-on experience with practical recipes from Jonathan Frankle (MosaicML), and other industry leaders,and learn cutting-edge techniques like LoRA and Prefix Tuning. Perfect for machine learning engineers, data scientists, researchers, and NLP enthusiasts. Stay ahead of the curve and become an expert in LLMs.
MLOPS
Overcome model chaos, automate key workflows, ensure governance, and streamline the end-to-end model lifecycle. This course will provide you with the concepts, best practices, and tools to level up your model management and drive success.
MLOPS
Bringing machine learning models to production is challenging, with a continuous iterative lifecycle that consists of many complex components. Having a disciplined, flexible and collaborative process - an effective MLOps system - is crucial to enabling velocity and rigor, and building an end-to-end machine learning pipeline that continually delivers production-ready ML models and services.
MLOPS
Streamline your ML workflows and save valuable time by automating your pipelines and deploying models with confidence. Learn how to use GitHub Actions and integrate W&B experiment tracking in this practical, hands-on learning experience.
MLOPS
Gain expertise in data validation to build robust production ML pipelines, detect data drift, and manage data quality using cutting-edge automated toolkits.
MLOPS
Learn to optimize decision rules, translating machine learning predictions into actionable insights. Discover how to achieve practical value and business impact by measuring performance using business metrics, and deploy ML models successfully.