As a testament to it being a hot topic, there are so many different courses on Generative AI out there. Which ones best suit your needs definitely depends on your objectives.
Note: Generative AI is rapidly evolving; so, once you get past the high-level/conceptual courses, it helps to look for recent courses. See also: Generative AI – Are you Ready
Years ago, someone suggested to me: If you want to understand what the future is bringing, go to MIT and see what books are in the library and what courses are on the curriculum. Now, that can be done online.
Links to courses and materials below include: LinkedIn Learning, Microsoft, Google Udemy, Coursera, MIT, Stanford, Berkeley, Wharton, Meta – the lists are clearly not exhaustive and will be out of date next week.
Linkedin Learning
- What Is Generative AI?
- Generative AI for Business Leaders
- Azure OpenAI: Generative AI Models and How to Use Them
- GPT-4: The New GPT Release and WHat You Need to Know
- Generative AI: Working with Large Language Models
- Generative AI: The Evolution of Thoughtful Online Search
- Ethics in the Age of Generative AI
- Introduction to Prompt Engineering for Generative AI
- Cloud-based Generative AI
- Generative AI and Ethics – the Urgency of Now
- GANs: Generating New Worlds
- GPT-3: The Next Leap in AI
- Talking to the AIs
- A Leap in Artificial Intelligence
- Meet Your AI Creative Collaborator
- Building NLP Models with Azure ML AutoML
- Level-Up Your ChatGPT Skills
- How Finding and Sharing Information Online has Evolved
Microsoft
- Introduction to Generative AI
- Fundamentals of Generative AI
- Introduction to Azure OpenAI Service
- Get started with Azure OpenAI Service
- Responsible Generative AI
- Introduction to GitHub Copilot for Business
- Build natural language solutions with Azure OpenAI Service
- Apply prompt engineering with Azure OpenAI Service
- Develop Generative AI solutions with Azure OpenAI Service
- Work with generative artificial intelligence (AI) models in Azure Machine Learning
- Introduction to building copilots for startups
- Introduction to Generative AI
- Introduction to Large Language Models
- Introduction to Responsible AI
- Generative AI Fundamentals
- Responsible AI: Applying AI Principles with Google Cloud
- Attention Mechanism
- Transformer Models and BERT Model
- Introduction to Image Generation
- Create Image Captioning Models
- Encoder-Decoder Architecture
- Generative AI for Developers
- Labs:
- Get Started with Generative AI Studio (requires one credit) – introductory, 60 minutes
- Generative AI with Vertex AI: Getting Started (requires one credit) – introductory, 90 minutes
- Generative AI with Vertex AI: Prompt Design (requires one credit) – introductory, 90 minutes
- Vertex AI PaLM API: Qwik Start (requires one credit) – introductory, 60 minutes
- Integrate Search in Applications Using Gen AI App Builder (requires five credits) – introductory, 90 minutes
- Prompt Design using PaLM (requires one credit) – intermediate, 90 minutes
- Explore and Evaluate Models using Model Garden (requires five credits) – intermediate, 60 minutes
Wharton
- AI for Decision Making: Business Strategies and Applications
- Generative AI — Best Practices and Resources
- How AI Changes Our Sense of Self
Generative AI is advancing so rapidly that market research needs to evolve along with it, by shifting its traditional focus from how people interact with technology to understanding how technology makes people feel about themselves. - Rise of AI: Is Your Company Prepared for Generative AI?
- Will Generative AI Kill Creativity?
- How AI Is Dramatically Impacting the Future of Education
- Kartik Hosanagar Answers Why Generative AI Matters
- Generative AI Could Create Labor Growing Pains, Even in White Collar Sector
- Does Generative AI Solve the Financial Literacy Problem?
- Generative AI Won’t Revolutionize Search — Yet
- Disruption or Distortion? The Impact of AI on Future Operating Models
- Business & Generative AI Workshop
- The Looming Algorithmic Divide: Navigating the Ethics of AI
- Teaching with AI
- Large Language Models: Computer Science meets Social Science
- Large Language Models: Behavioral Science Meets Computer Science
- Ideas Are Dimes A Dozen: Large Language Models For Idea Generation In Innovation
- New Working Paper Finds ChatGPT A Better Innovation “Ideator” Than MBA Students
Berkeley
- Not Just LLMs: How Generative AI Will Be Used in the Enterprise
- Generative AI: Trouble in Paradise?
- Generative AI Resources for Berkeley Law Faculty & Staff
- The Dark Side of Generative AI: Automating Inequality by Design
- Generative AI and acceleration of ESG Performance
- AI and the Humanities: Generative Creativity and Interpretation
- Large Language Models and Transformers
- Towards Reliable Use of Large Language Models: Better Detection, Consistency, and Instruction-Tuning
- Meaning in the age of large language models
- Reducing Bias in Large Language Models
- Human-AI Interaction in the Age of Large Language Models
- Conceptual Design Generation Using Large Language Models
- “Generative AI: Race, Art, and Power” Lecture Series
- Generative AI as a Creativity Tool? A Program to Explore Implications
- Managing the Creative Frontier of Generative AI: The Novelty-Usefulness Tradeoff.
Stanford
- Stanford Webinar – How ChatGPT and Generative AI Will Shape the Future of Work
- Building an AI-Enabled Organization
- Harnessing AI for Breakthrough Innovation and Strategic Impact
- AI Essentials: Key Concepts and Opportunities| Stanford Graduate School of Business
MIT
- Artificial Intelligence Implications for Busines Strategy
- The Battle for Generative AI Dominance
- Artificial Intelligence: Implications for Business Strategy
- Accelerating Digital Transformation with Algorithmic Business Thinking
- From physics to generative AI: An AI model for advanced pattern generation
- Generative AI at Mastercard: Governance Takes Center Stage
- Generative AI for makers: AI has truly arrived — and it’s here to help you make and craft
- The legal issues presented by generative AI
- Applied Generative AI for Digital Transformation
- Generative AI: Language, Images and Code
- 3 Questions: Jacob Andreas on large language models
- Large Language Models and the Reverse Turing Test
- Do Large Language Models Understand Us?
- Large language models are biased. Can logic help save them?
- MIT researchers make language models scalable self-learners
- Call for Papers Special Issue on Large Language Models (LLMs)
Meta
- Introducing LLaMA: A foundational, 65-billion-parameter large language model
- Introducing Llama 2 The next generation of our open source large language model
- Meta and Microsoft Introduce the Next Generation of Llama
- Introducing Code Llama, a state-of-the-art large language model for coding
- Llama 2: open source, free for research and commercial use
- Responsible Use Guide: your resource for building responsibly
- Llama 2: Open Foundation and Fine-Tuned Chat Models
- Code Llama: Open Foundation Models for Code
- Request access to the next version of Llama
Coursera
- Generative AI with Large Language Models
- Getting Started with Generative AI APIs
- Generative Adversarial Networks (GANs) Specialization
- Introduction to Generative AI
- Introduction to Large Language Models
- Generative AI with Large Language Models
- What Is Generative AI? Definition, Applications, and Impact
- Introduction to Generative AI Studio
- Generative AI Teach-Out
- What Is ChatGPT? (and How to Use It)
- Generative Adversarial Networks (GANs) Specialization
- Generative Deep Learning with TensorFlow
- Getting Started with Generative AI APIs
- Large Language Models (LLMs) Definitions : A to Z Glossary Terms
Udemy
- Generative AI – From Big Picture, to Idea, to Implementation
- Working with Large Language Models in Generative AI
- Generative AI (English Version): Unleashing Next-Gen AI
- Master Generative AI: Automate Content Effortlessly with AI
- The Ultimate ChatGPT Generative AI Course
- Generative AI, from GANs to CLIP, with Python and Pytorch
- Certification: Generative AI
- A Beginners Guide to Generative AI – Images, Video, Music
