Copilot Foundations (AI-3018)
Duração:
1 dia
Próxima Data:
Consulte-nos
Local:
Descrição
Copilots are quickly becoming a popular way to use with AI models, automate tasks, and improve productivity. In this learning path, you'll explore options for adopting, using, and creating copilots.
*PVP por participante. A realização do curso nas datas apresentadas está sujeita a um quórum mínimo de inscrições.
Destinatários
This course is ideal for AI enthusiasts, data scientists, and IT professionals interested in advancing their skills in generative AI and AI project management. It is also suitable for business analysts and technical leads who are involved in developing or managing AI-driven solutions.
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Área: Microsoft
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Certificação Associada: N/A
Programa:
Module 1: Introduction to generative AI
In this module, you explore the way in which language models enable AI applications and services to generate original content based on natural language input.
Lessons:
- What is generative AI?
- How do language models work?
- Understand how transformers advance language models
- Understand differences in language models
- Improve prompt results
- Evaluate for quality responses
- Create responsible generative AI solutions
- Exercise - Explore generative AI in Azure AI Foundry portal
Module 2: Get started with Microsoft Copilot Studio
Microsoft Copilot Studio allows organizations to quickly create agents based on business scenarios their customers and employees can easily interact with as needed. In this module, you're introduced to key concepts for agents.
Lessons:
- Get started working with environments
- Create agents and work with the Microsoft Copilot Studio interface
- Create topics
- Enhancing productivity with Generative AI
- Test your agents
- Publish agents and analyze performance
- Exercise - Create an agent with Microsoft Copilot Studio
Module 3: Plan and prepare to develop AI solutions on Azure
Microsoft Azure offers multiple services that enable developers to build amazing AI-powered solutions. Proper planning and preparation involves identifying the services you'll use and creating an optimal working environment for your development team.
Lessons:
- What is AI?
- Azure AI services
- Azure AI Foundry
- Developer tools and SDKs
- Responsible AI
- Exercise - Prepare for an AI development project
Module 4: Develop a RAG-based solution with your own data using Azure AI Foundry
Retrieval Augmented Generation (RAG) is a common pattern used in generative AI solutions to ground prompts with your data. Azure AI Foundry provides support for adding data, creating indexes, and integrating them with generative AI models to help you build RAG-based solutions.
Lessons:
- Understand how to ground your language model
- Make your data searchable
- Create a RAG-based client application
- Implement RAG in a prompt flow
- Exercise - Create a generative AI app that uses your own data
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