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This course was developed by members of AWS Technical Field Communities (TFC), an AWS community of technical experts. The content is intended to complement our standard training curriculum and augment your AWS learning journey. We are aware some…

This module explores various subsets within artificial intelligence (AI) such as natural language processing (NLP), computer vision, and recommendation systems and discuss the integration of AI-powered tools into a learning environment.

Units in this learning path:

• Introduction
• Common AI Subsets
• AI Powered Tools Education
• Evaluating Efficacy AI Systems
• Knowledge Check
• Summary

Products: AI Services, M365 Apps, Azure Translator Text, Azure Translator Speech, Ms Copilot, Language Service

Roles: K 12 Educator, Higher Ed Educator, Business User, Data Engineer, School Leader

Level: Beginner

Subjects: Artificial Intelligence

Duration: 19 minutes

Learn how to create and manage agents with Power Virtual Agents.

Modules in this learning path:

• Implement Power Virtual Agents
• Pva Voice
• Cognitive Service Power Virtual Agents

Products: Ms Copilot

Roles: Maker, Administrator

Level: Intermediate

Subjects: Chatbots

Duration: 114 minutes

Azure Document intelligence extracts data at scale to enable the submission of documents in real time, at scale, with accuracy. This module gives users the tools to use the Azure Document intelligence vision API.

Units in this learning path:

• Introduction
• What Form Recognizer
• Get Started
• Train Custom Models with Labels
• Use Models
• Form Recognizer Studio
• Exercise Extract Data from Custom Forms
• Knowledge Check Summary
• Summary

Products: AI Services, Document Intelligence, Azure AI Foundry

Roles: AI Engineer, Data Scientist, Developer, Solution Architect, Student

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 49 minutes

Develop a seamless flow using Microsoft Power Automate and the ID reader in AI Builder to automate document processing tasks.

Units in this learning path:

• 1 Introduction
• 2 Build Flow Id Reader
• 3 Check
• 4 Summary

Products: Power Automate, AI Builder, Power Platform

Roles: Maker

Level: Beginner

Subjects: Artificial Intelligence

Duration: 22 minutes

Learn about AI Builder Business card reader and how to use it in Microsoft Power Apps and Power Automate.

Units in this learning path:

• 1 Introduction
• 2 Canvas App
• 3 Build Flow
• 4 Model Driven App
• 5 Check
• 6 Summary

Products: AI Builder, Power Platform, Power Automate

Roles: Maker, Business User

Level: Beginner

Subjects: Artificial Intelligence

Duration: 41 minutes

Learn to extract insights using Azure Language and Azure Database for PostgreSQL.

Units in this learning path:

• Introduction
• Extract
• Recognize
• Detect Personally Identifiable Information
• Exercise
• Knowledge Check
• Summary

Products: Azure Database Postgresql, AI Services

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence, Databases

Duration: 22 minutes

Create a seamless flow with Microsoft Power Automate using invoice processing.

Units in this learning path:

• 1 Introduction
• 2 Automate Workflow
• 3 Check
• 4 Summary

Products: Power Automate, AI Builder, Power Platform

Roles: Maker, Business User

Level: Beginner

Subjects: Artificial Intelligence, Business Applications

Duration: 10 minutes

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. The following courses…

Learn how to find the best classification model with automated machine learning (AutoML). You'll use the Python SDK (v2) to configure and run an AutoML job.

Units in this learning path:

• Introduction
• Preprocess Data Configure Featurization
• Run Job
• Evaluate Compare Models
• Exercise
• Knowledge Check
• Summary

Products: Azure Machine Learning

Roles: Data Scientist

Level: Beginner

Subjects: Machine Learning

Duration: 37 minutes

When you want to maximize the consistency in the responses of your language model, you can fine-tune a base model before integrating the model into your chat application. Learn how to fine-tune a language model and then integrate the model with Microsoft Foundry.

Units in this learning path:

• Introduction
• Understand Finetune
• Prepare Data
• Finetune Model
• Exercise
• Knowledge Check
• Summary

Products: Azure AI Foundry

Roles: Data Scientist, AI Engineer

Level: Intermediate

Subjects: Artificial Intelligence, Machine Learning, Natural Language Processing

Duration: 83 minutes

AI agents are rapidly transforming how organizations operate, automating tasks, enhancing decision-making, and improving customer experiences. But to scale adoption and secure stakeholder buy-in, it's not enough to showcase innovation; leaders must clearly demonstrate the business value these agents deliver.

Units in this learning path:

• Convert Agents Business Impact
• Forecast Return Investment
• Apply Return Investment Analysis
• Knowledge Check
• Summary

Products: Azure AI Foundry, AI Services, Azure Openai, Ms Copilot

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 32 minutes