Set of 18 Microsoft courses designed to give you a strong foundation in generative AI basics. Includes: Introduction to Generative AI and LLMs (Part 1 of 18) Exploring and comparing different LLMs (Part 2 of 18) Using Generative AI Responsibly (Part 3 of 18) Understanding Prompt Engineering Fundamentals (Part 4 of 18) Creating Advanced Prompts (Part 5 of 18) Building Text Generation Applications (Part 6 of 18) Building Chat Applications (Part 7 of 18) Building Search Apps Vector Databases (Part 8 of 18) Building Image Generation Applications (Part 9 of 18) Building Low Code AI Applications (Part 10 of 18) Integrating External Applications with Function Calling (Part 11 of 18) Designing UX for AI Applications (Part 12 of 18) Securing Your Generative AI Applications (Part 13 of 18) The Generative AI Application Lifecycle (Part 14 of 18) Retrieval Augmented Generation (RAG) and Vector Databases (Part 15 of 18) Open Source Models and Hugging Face (Part 16 of 18) AI Agents (Part 17 of 18) Fine-Tuning LLMs (Part 18 of 18)

Join us for our inaugural podcast discussing the current news about AI. We break down the news into candid conversational bites, to allow the novice and the professional to understand the world that is coming ...... faster than you think!

Today's topics include: - AI Agent loyalty - AI Misuse in the workplace - Why the smartest AI may not win Listen to this episode

You can watch this 35 minute podcast at 1.5x speed (24 minutes watch time, but back half is mostly off-topic general discussion of AI) to learn about SEMA, which is an example of AI being used to assess and extend software. Key Points: - Recommend no more than 15-25% of code base be generated by GenAI - Using AI to assess developer workload and proficiency from Jira/DevOps data - AI as a tool to ensure code is "healthy"

Not AI-centric, but a great listen once a week...the Now Next Later format makes sure conversations are always translated into something of value for the listener. YouTube