Play all

- Introduction

- What is AI

- Generative AI

- GPT and the model

- Why don't I always use the newest

- How models are created

- Gaps to be really useful

- Solving the gaps

- How we use GPT

- Copilots

- GitHub Copilot

- Microsoft product copilots

- Data governance considerations

- Bing Chat

- Copilot Studio

- Custom copilot

- Topics

- Generative AI

- Adding custom data

- Actions

- Entities

- Publish

- Licensing

- Extend first-party copilot

- Pro-code with Azure AI Studio

- Orchestrators

- LangChain

- Semantic Kernel

- AutoGen

- Windows AI Studio

- Summary

Description:

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the foundations of generative AI and learn which AI technologies are best suited for different use cases in this comprehensive video lecture. Dive into topics like GPT models, Copilots, Azure AI Studio, and data governance considerations. Gain insights on creating custom Copilots, extending first-party solutions, and using pro-code approaches. Discover orchestration tools like LangChain, Semantic Kernel, and AutoGen. Benefit from practical guidance on implementing AI solutions across various platforms and applications, including GitHub, Microsoft products, and Windows AI Studio.

Choosing the Right AI: Copilot, Copilot Studio, Azure AI Studio, and More

John Savill's Technical Training

Add to list

#Computer Science #Artificial Intelligence #Generative AI #Information Technology #IT Governance #Data Governance #Programming #Software Development #GitHub Copilot #Microsoft Copilot #Cloud Computing #Microsoft Azure #Azure AI #Azure AI Studio

0:00 / 0:00