AWS re:Invent 2023 - A leader’s guide to generative AI: Using history to shape the future (SEG204)

AWS re:Invent 2023 - Choosing the right generative AI use case (AIM212)

Introduction to Data Mesh with Zhamak Dehghani

AWs re:Invent 2023 - [LAUNCH] Elevating workflows with AWS Step Functions and generative AI (API210)

Think Fast, Talk Smart: Communication Techniques

Machine Learning for Everybody – Full Course

AWS re:Invent 2023 - Unlocking the industry potential of generative AI (AIM248)

AWS re:Invent 2023 - Cloud migration strategy (NTA102)

The Turing Lectures: The future of generative AI

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AWS re:Invent 2023 - Accelerating life sciences innovation with generative AI on AWS (LFS202)

AWS re:Invent 2023 - Prompt engineering best practices for LLMs on Amazon Bedrock (AIM377)

What's the future for generative AI? - The Turing Lectures with Mike Wooldridge

AWS re:Invent 2023 - Keynote with Dr. Swami Sivasubramanian

Analyze Existing Sensor Data to Detect Abnormal Equipment Behavior with Amazon Lookout for Equipment

Google Cloud Platform Full Course | Google Cloud Platform Tutorial | Cloud Computing | Simplilearn

AI and Quantum - What Leaders Need to Know. A Talk with Eric Schmidt and Jack Hidary

AWS re:Invent 2023 - Behind-the-scenes look at generative AI infrastructure at Amazon (CMP206)

GenAI for Financial Services - MLOps Live #25 with McKinsey

AWS re:Invent 2023 - Generative AI for decision-makers (TNC214)

AWS re:Invent 2023 - Putting your data to work with generative AI | AIM250-INT