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Exploring Generative AI

Artificial Intelligence
Level : Beginner
Useful information
Duration : 1 Day (7 Hours)
Remote price : 800 € excl tax/pers
Targeted audience
  • Technical profiles, developers, product owners.
Next dates
Remote
Intra-company
On demand

Training Overview

This course aims to immerse developers and product owners in the world of Azure OpenAI, providing an in-depth understanding of the different services and how they can be integrated into B2B scenarios. The session will cover practical examples and real-life use cases. Participants will also learn how to use Azure OpenAI in combination with other Azure services, such as Speech, Vision, and AI Search.

Learning Objectives

On completion of this course, you will be able to:

  • Understand how to use generative AI in the Microsoft environment.
  • Extract information from your data.
Prerequisites

No prerequisites

Training Program

Discover generative AI

  • Discover the history of generative AI and key dates.
  • Learn the key concepts and terms: Generative AI, Models, Tokens, Prompts, Embeddings.
  • Keep abreast of the latest announcements.
  • Discover the models developed by OpenAI and the model catalogue provided in the Azure AI Studio.

 

Discovering and using Azure OpenAI in the Microsoft ecosystem.

  • Understanding the differences between Azure OpenAI, Copilot, Copilot for M365 and Copilot Studio.
  • Discover how Azure OpenAI works: access, model deployment, content filtering, quota management.
  • Exploring Azure AI Studio (Playground, Prompt flow, MaaS).
  • Demonstrating the use of models, in particular GPT-4 and GPT-4V (vision).

 

Practical scenarios and architectures

  • Using Azure OpenAI on different use cases :
    Custom Copilot, Natural language document search (NLDS), Content writing support, Information extraction and processing (text and images).
  • Industrialisation challenges: management of model versions, quotas and Azure regions, etc.

 

Introduction to Responsible AI

  • Understanding responsible AI and its fundamental principles.
  • Discover best practices for implementing responsible AI solutions.

 

Going further with Azure OpenAI

  • Functions calling.
  • Assistants
  • Orchestrating use-cases using Langchain and Semantic Kernel.

 

Increase generation capabilities by integrating Azure OpenAI with other live coding services.

  • Give voice to your applications by combining Azure Speech and Azure OpenAI.
  • Exploit images and videos thanks to Azure OpenAI and Azure AI Vision.
  • Leverage your Microsoft environment through Azure OpenAI and Microsoft Graph.

 

 

Published on 10/01/2024

 

Teaching Method

In this training, we mix theory with technical workshops to quickly make you operational. Additionally, each participant receives course materials at the end of the training.

One of our consultant trainers conducts the training. With solid field experience, they make the learning process both interactive and enriching.

For assessment, the trainer regularly asks questions and uses various methods to continuously measure your progress. This approach promotes a dynamic and engaging learning experience.

After the training, we ask you to complete a satisfaction questionnaire. Your feedback helps us to maintain and constantly improve the quality of our training.

Finally, we offer the flexibility to deliver this training both in-person and remotely, and it can be customized to meet your company’s specific needs upon request.

Accessibility

You can register for one of our training courses up to two business days before it starts, if there are still available places and you signed quote.

If you have specific needs related to a disability, please do not hesitate to make a request; we are happy to adjust our services according to the type of disability.

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