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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

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

Learn how to fine-tune language models using supervised fine-tuning, reinforcement fine-tuning, or direct preference optimization. Discover how to prepare training data manually or generate synthetic data to maximize consistency in your model's responses.

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

Explore how Azure OpenAI Studio enables the development of AI-powered dialogue systems. Learn the core architecture of conversational agents, the models behind them, and how to design basic chat interactions using Microsoft tools.

Units in this learning path:

• Introduction
• Azure Openai Studio for Dialogue Systems
• Build and Train Custom AI Dialogue Models
• Build Dialogue Systems That Feel Human
• Exercise
• Knowledge Check
• Summary

Products: Ms Copilot, Azure Openai

Roles: Data Engineer, Data Scientist, Developer

Level: Beginner

Subjects: Artificial Intelligence

Duration: 70 minutes

In this course, you will learn the principles, techniques, and the best practices for designing effective prompts. This course introduces the basics of prompt engineering, and progresses to advanced prompt techniques. You will also learn how to…

Learn how you can simplify email and meeting administration using Copilot in Microsoft Outlook.

Units in this learning path:

• Introduction
• Draft Engaging Emails
• Simplify Meeting Administration
• Exercise Supercharge Your Collaboration
• Knowledge Check
• Summary

Products: M365, Office 365

Roles: Administrator, Business User, Functional Consultant, Solution Architect, Technology Manager

Level: Beginner

Subjects: Artificial Intelligence, Business Applications, Compliance, Productivity, Security

Duration: 35 minutes

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…