Explore digital courses

Learn how to use the .NET SDK with the Azure OpenAI service to have your applications carry on conversations with users in natural language.

Units in this learning path:

• 1 Introduction
• 2 Azure Openai Text Completions Overview
• 3 Chat Completions
• 4 Exercise Install Sdk Create Completion
• 5 Improve Completion Quality
• 6 Exercise Improve Completion Quality
• 7 Summary

Products: Azure, Dotnet

Roles: Developer

Level: Intermediate

Subjects: Cloud Computing

Duration: 40 minutes

Learn how to generate videos from text prompts with Sora 2 in Microsoft Foundry.

Units in this learning path:

• Introduction
• Deploy Video Model
• Generate Video from Prompt
• Generate Video in Python
• Exercise
• Knowledge Check
• Summary

Products: Microsoft Foundry

Roles: AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 48 minutes

In this course, you will learn to explain the systematic approach to identifying and assessing business value opportunities for generative AI implementations, describe the key characteristics that define successful generative AI use cases, and…

In this course, you will learn to understand the evolution of generative AI from the 2017 transformer architecture through current frontier models, implement key application patterns to adapt LLMs for specific business use cases and system…

In this course, you will learn to identify the key architectural patterns and best practices for generative AI implementation, describe the collaborative ecosystem required for successful AI implementation, and explain the progression from…

In this course, you will learn to apply key components of responsible AI to evaluate and improve AI system implementations, implement practical responsible AI measures using available tools and resources, and identify responsible AI can drive…

In this course, you will learn to understand foundational concepts of Generative AI, explain the prompt-response architecture, and identify key components of AI model deployment.

A Learning Plan pulls together training content for a particular role or solution, and organizes those assets from foundational to advanced. Use Learning Plans as a starting point to discover training that matters to you. This learning plan is…

This learning plan is designed to introduce generative AI to software developers interested in leveraging large language models without fine-tuning. The digital training included in this learning plan will provide an overview of generative AI,…

This learning plan is designed to introduce generative AI to software developers interested in leveraging large language models without fine-tuning. The digital training included in this learning plan will provide an overview of generative AI,…

This training solution is for EU Government and Public Sector (EU institutions, etc..) users of AWS Artificial Intelligence and Machine Learning services, and covers AWS Cloud concepts, AWS ML fundamentals, data science on AWS, and ML engineering…

This learning plan is designed to introduce data scientists and machine learning engineers to the options available to build, fine-tune and deploy small to large language models (LLM) using Amazon SageMaker. Amazon SageMaker brings together a…