AI Resources for Technical and Non-Technical Audiences

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A tectonic shift is underway and one we may not see again in our lifetime. Whilst not everyone needs to be a technologist, understanding data and Artificial Intelligence (AI) - its capabilities, limitations, and how to identify problems AI can solve is increasingly essential. AI is reshaping industries, decision-making, and everyday life. To navigate this shift we need to grasp its capabilities, limitations, and the real problems it can solve while ensuring our products and services remain inclusive.

With great technology comes great responsibility. As AI continues to evolve, so do its risks and opportunities. It has reclaimed center court, and its influence will only grow.

Here are some (mostly free) resources that I've found valuable:

1. What is an AI anyway? TED Talk by Mustafa Suleyman

2. AI Index Report 2024 from Stanford Univ (~500 pages)

3. What are LLMs? by Andrej Karpathy (video)

4. Deep Dive into LLMs by Andrej Karpathy (video)

5. Building LLMs by Stanford University (video)

6. Zero to Hero courses by Andrej (technical)

7. What are GenAI models? by Kate Soule (video)

8. RAG vs CAG by IBM (video)

9. GenAI for everyone by Andrew Ng (course)

10. AI for everyone by Andrew Ng (coursera)

11. The rise of AI agents & agentic reasoning by Andrew Ng (video)

12. A year+ old LinkedIn post with various links to AI resources

13. Basics of GenAI 5 mins a day by Armand Ruiz

14. Building effective agents Anthropic (article)

15. Workflows vs. Agents (video)

16. AI for Business by Omar Maher (video course)

17. Becoming AI-First Product Leader with Tomer Cohen (LinkedIn course)

18. AI Product Management by Marty Cagan (article)

19. How AI is changing the PM job by Mayukh Bhaowal

20. Collaborative writing and coding with OpenAI Canvas DeepLearning AI (course)

21. Attention is All you Need by Vaswani et al. The 2017, groundbreaking research paper in the field of NLP that introduced the transformer architecture that significantly improved how machines understand and generate human language.

22. Recommendation for AI courses for Product Managers

    • AI Product Management by Miqdad Jabbar, product leader at OpenAI

    • Advanced AI Product Leadership by Dr. Marily Nika, GenAI product lead at Google

    • Reforge offers a couple of AI courses for PMs including GenAI Products: How to Get from Idea to MVP

Remember understanding data and what LLMs realistically can or cannot is critical for PMs that work on AI products. If you are new to the space, I'd start with some of the free resources, then take the AI for Everyone & GenAI for Everyone by Andrew Ng. Then one of the three listed above.

For those of us building products I love this reminder from the documentary, Cryptopia. The sentiment applies across domains & technologies:

Because, here’s the thing. The average users don’t care about the wires that move their money quicker, don’t know about the software that moves this movie or that picture. What will move them, are services that will make their days a little brighter, their chores a little lighter, and their lives.......a little richer.

Let me know if this helps or if you have any questions. Please share other resources you've found to be useful.