AI Academy
Learn to train, fine-tune and use LLMs in your applications. Implement MLOps and LLMOps solutions. Tackle real-world ML challenges with Weights & Biases free courses, trusted by thousands of practitioners.
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.
Free
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!
Free
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.
Free
Explore the architecture, training techniques, and fine-tuning methods for creating powerful LLMs. Gain theory and hands-on experience from Jonathan Frankle (MosaicML), and other industry leaders, and learn cutting-edge techniques like LoRA and RLHF.
Free
This course accelerated the development of our app tenfold. We were really struggling getting the right output consistently, now it's a breeze
This course accelerated the development of our app tenfold. We were really struggling getting the right output consistently, now it's a breeze
Read LessThis is really fantastic! I am still finding my way around topics like function calling and have been struggling with extracting outputs from OpenAI's gpt models reliably and consistently. This looks like the Holy Grail! Love the no frills, to-the...
Read MoreThis is really fantastic! I am still finding my way around topics like function calling and have been struggling with extracting outputs from OpenAI's gpt models reliably and consistently. This looks like the Holy Grail! Love the no frills, to-the-point approach of Jason. Had no idea about stuff like `model_json_schema()`. This is crazy good! Thank you for doing this Jason
Read LessI recently completed the "Effective MLOps: Model Development" course and found it to be an exceptional learning experience. The instructors did an excellent job of providing practical knowledge that I found useful in my academic projects. The cour...
Read MoreI recently completed the "Effective MLOps: Model Development" course and found it to be an exceptional learning experience. The instructors did an excellent job of providing practical knowledge that I found useful in my academic projects. The course material was well-organized and easy to follow, and the hands-on exercises helped me develop a deeper understanding of the concepts covered. The 5/5 rating is well deserved!
Read LessThis is the most interesting self-paced online course I've ever taken. The way it's structured, using a real-world LLM-powered "starter" app to demonstrate concepts, makes the lab exercises highly engaging and informative.
This is the most interesting self-paced online course I've ever taken. The way it's structured, using a real-world LLM-powered "starter" app to demonstrate concepts, makes the lab exercises highly engaging and informative.
Read Lessvery good start and easy to understand with code examples along the way and additional resources
very good start and easy to understand with code examples along the way and additional resources
Read LessThis course helps you translate a model's output into what decision-makers care about. Dan is an incredible instructor who spends time on the important material while quickly summarizing the parts less relevant to the course.
This course helps you translate a model's output into what decision-makers care about. Dan is an incredible instructor who spends time on the important material while quickly summarizing the parts less relevant to the course.
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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.
Free
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Learn how to accelerate and scale your model development, improve your productivity, ensure reproducibility and model lineage tracking, and above all else, train better models faster.
Free
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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.
Free
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Gain expertise in data validation to build robust production ML pipelines, detect data drift, and manage data quality using cutting-edge automated toolkits.
Free
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Learn to optimize business decisions, translating machine learning predictions into actionable insights. Discover how to achieve practical value and business impact by evaluating performance using business metrics, and deploy ML models successfully.
Free
This course introduces Weave by Weights & Biases, a toolkit for developing Generative AI applications. Learn to log, debug, and evaluate language model workflows, ensuring accurate and consistent results across your projects.
Free
This course is a gentle introduction to Weights & Biases with a focus on experiment tracking. Learn to track, visualize, and optimize your ML experiments, streamline collaboration with your team, and make your projects efficient and reproducible.
Free
This compact course, led by ML Success Engineer Ken Lee, dives into advanced model management utilizing Weights and Biases for logging, registering, and managing ML models.
Free
Collaboration with DeepLearning.AI
저희의 새로운 코스인 “효과적인 MLOps: 모델 개발"를 통해 기계학습의 미래로 나아가보세요. 이 포괄적인 프로그램으로 ML 모델에 생명을 불어넣고, 성능을 최적화하고, 프라임타임에 맞추어 대비하는 방법을 배워보세요.
Free
Learn how to accelerate and scale your model development, improve your productivity, ensure reproducibility and model lineage tracking, and above all else, train better models faster.
Free