Learn & Grow

This learning path guides you through a curated collection of content on Generative AI products and technologies, from the fundamentals of Large Language Models to how to create and deploy generative AI solutions on Google Cloud.

The course covers LLMs starting from the basics, all the way to building and using text representation and text generation models. It is a one-size-fits-all approach, and learners can pick their own path. Whether you want to learn semantic search, generation, classification, embeddings, or any other NLP technique, this is the place for you!

This course, led by Isa Fulford and Andrew Ng, teaches how to use large language models (LLMs) with the OpenAI API for tasks like summarizing and transforming text. It covers prompt engineering, chatbot creation, and offers hands-on experience for all skill levels.

Join LinkedIn’s Chief Product Officer Tomer Cohen as he shows you key tools and insights to help you use generative AI to reinvent the future of your business.

Introductory course that covers the basics of generative AI, with topics including what it is, how it works, how to create your own content, different types of models, future predictions, and ethical implications.

This course is aimed at software developers looking to get started with creating, using and fine-tuning prompts for Chat GPT, Dall-E and Midjourney.

This course was taught to students at MIT and Harvard in the Spring and broadly covers evaluation, ethics, and societal implications of large language models. The slides and readings have been made available, with videos to follow soon.

The Azure Cloud Advocates at Microsoft are offering a self-paced 12-week curriculum on Artificial Intelligence (AI), designed to accommodate the learning pace of each individual. It touches upon traditional symbolic AI approaches, such as GOFAI, as well as modern neural networks and deep learning techniques. Learners will get hands-on experience with popular AI frameworks like TensorFlow and PyTorch, and delve into neural architectures for processing images and text. The curriculum also sheds light on less conventional AI approaches such as Genetic Algorithms and Multi-Agent Systems, ensuring a comprehensive introduction to the field of AI.