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1) Fundamental AI Concepts

With AI, we can build solutions that seemed like science fiction a short time ago; enabling incredible advances in health care, financial management, environmental protection, and other areas to make a better world for everyone.

In this module, you'll learn about the kinds of solutions AI can make possible and considerations for responsible AI practices.

Link: https://learn.microsoft.com/en-us/training/modules/get-started-ai-fundamentals/
Cost: Free
Time: 40 Minutes

2) Fundamentals of Machine Learning

Machine learning is the basis for most modern artificial intelligence solutions. A familiarity with the core concepts on which machine learning is based is an important foundation for understanding AI.

Learning objectives

After completing this module, you will be able to:

• Describe core concepts of machine learning

• Identify different types of machine learning

• Describe considerations for training and evaluating machine learning models

• Describe core concepts of deep learning

• Use automated machine learning in Azure Machine Learning service

Link: https://learn.microsoft.com/en-us/training/modules/fundamentals-machine-learning/
Cost: Free
Time: 2 Hours

3) Fundamentals of Text Analysis with the Language Service

Explore Azure AI Language's natural language processing (NLP) features, which include sentiment analysis, key phrase extraction, named entity recognition, and language detection.

Learning objectives

Learn how to use Azure AI Language for text analysis

Link: https://learn.microsoft.com/en-us/training/modules/analyze-text-with-text-analytics-service/
Cost: Free
Time: 40 Minutes

4) Fundamentals of conversational language understanding

In this module, we introduce you to conversational language understanding, and show how to create applications that understand language with Azure AI Language.

Learning objectives

In this module, you'll:

• Learn what conversational language understanding is.

• Learn about key features, such as intents and utterances.

• Build and publish a natural-language machine-learning model.

Link: https://learn.microsoft.com/en-us/training/modules/create-language-model-with-language-understanding/
Cost: Free
Time: 40 Minutes

5) Design a Machine Learning Solution

There are many options on Azure to train and consume machine learning models. Which service best fits your scenario can depend on a myriad of factors. Learn how to identify important requirements and when to use which service when you want to use machine learning models.

Prerequisites

None

Link: https://learn.microsoft.com/en-us/training/paths/design-machine-learning-solution/
Cost: Free
Time: 2 Hours

6) Fundamentals of 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. You also learn how generative AI enables the creation of copilots that can assist humans in creative tasks.

Learning objectives

By the end of this module, you are able to:

• Understand generative AI's place in the development of artificial intelligence.

• Understand language models and their role in intelligent applications.

• Describe examples of copilots and good prompts.

Link: https://learn.microsoft.com/en-us/training/modules/fundamentals-generative-ai/
Cost: Free
Time: 1 Hour 10 Minutes

7) Get started with Microsoft Copilot Studio

Microsoft Copilot Studio allows organizations to quickly create copilots based on business scenarios their customers and employees can easily interact with as needed. In this module, you're introduced to key concepts for copilots.

Learning objectives

This module explains how to:

• Create copilots.

• Test copilots.

• Analyze performance.

Link: https://learn.microsoft.com/en-us/training/modules/power-virtual-agents-bots/
Cost: Free
Time: 1 Hour 10 Minutes

8)Build a RAG-based copilot solution with your own data using Azure AI Studio

Copilots can work alongside you to provide suggestions, generate content, or help you make decisions. Copilots use language models as a form of generative artificial intelligence (AI) and will answer your questions using the data they were trained on. To ensure a copilot retrieves information from a specific source, you can add your own data when building a copilot with the Azure AI Studio.

Learning objectives

By the end of this module, you'll be able to:

• Identify the need to ground your language model with Retrieval Augmented Generation (RAG)

• Index your data with Azure AI Search to make it searchable for language models

• Build a copilot using RAG on your own data in the Azure AI Studio

Link: https://learn.microsoft.com/en-us/training/modules/build-copilot-ai-studio/
Cost: Free
Time: 40 Minutes

9) Introduction to generative AI - Exploring the basics

This module serves as a guide to understanding the basics of generative AI including its applications. You will be introduced to Microsoft Copilot and the essential skills needed to use Large Language Models (LLMS) efficiently and responsibly.

Learning objectives

By the end of this module, you'll be able to:

• Analyze the concepts of generative AI.

• Interpret the functionality of large language models (LLMs) and their role in generative AI.

• Evaluate your own critical thinking abilities and learn how to critique these skills to improve your interaction with generative AI.

• Compare various models of generative AI and their usage and understand the selection of specific models for different training applications.

Link: https://learn.microsoft.com/en-us/training/modules/intro-generative-ai-explore-basics/
Cost: Free
Time: 22 Minutes

10) Create effective prompts for generative AI training tools

This module covers the basic concepts of prompt engineering, the elements of an effective prompt, and best practices in prompting.

Learning objectives

By the end of this module, you'll be able to:

• Critique the effectiveness of different prompt engineering techniques.

• Assess the clarity and relevance of instructions and context for prompt creation.

• Evaluate the benefits of creating content in various formats using generative AI.

Link: https://learn.microsoft.com/en-us/training/modules/create-prompts-for-generative-ai-training-tools/
Cost: Free
Time: 20 Minutes

Bonus: Create images with generative AI

This module introduces you to AI-powered image generators, including their potential applications within the workplace and training sessions and best practices to follow.

Learning objectives

By the end of this module, you'll be able to:

• Understand how AI-generated images can enhance training programs.

• Analyze the impact of the quality of the prompt on the AI-generated image.

• Evaluate the recommended actions when an AI-generated image doesn't align with your expectations.

Link: https://learn.microsoft.com/en-us/training/modules/create-prompts-for-generative-ai-training-tools/
Cost: Free
Time: 25 Minutes

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