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Amazon Comprehend is a natural-language processing (NLP) service that you can use to extract valuable insights and connections from text. In this Getting Started course you will learn about the benefits, features, typical use cases, technical…

Using Amazon Detective, you can quickly analyze, investigate, and identify the root cause of potential security issues or suspicious activities. Detective automatically collects log data from your Amazon Web Services (AWS) resources. The service…

Amazon Textract is a machine learning (ML) service that automatically extracts text, handwriting, and data from scanned documents and goes beyond optical character recognition (OCR) to identify, understand, and extract data from forms and tables.…

This credential earner demonstrates a foundational understanding of Artificial Intelligence concepts and processes, including common applications of AI, and generative AI. The individual has worked with generative AI tools to refine and create prompts.

This course will provide steps and procedures to follow on how to manipulate and interact with 3D objects.

Units in this learning path:

• 5 1 Introduction
• 5 2 Panel of Buttons Dynamic Menus
• 5 3 Exercise Panel of Buttons Menus
• 5 4 Provide Description to Objects Using Text on Scene Tooltips
• 5 5 Exercise Provide Description to Objects Using Text on Scene Tooltips
• 5 6 Manipulate 3d Objects with Bounds Control
• 5 7 Exercise Manipulate 3d Objects with Bounds Control
• 5 8 Knowledge Check
• 5 9 Summary

Products: Windows, Windows Mixed Reality, Mrtk, Hololens, Azure, Mrtk

Roles: Developer

Level: Beginner

Subjects: Mixed Reality

Duration: 54 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…

Learn how to set up policies and permissions to govern and secure agents.

Units in this learning path:

• Introduction
• Govern Agents Scenarios
• Exercise Agent Settings
• Security Governance Policies
• Exercise Set Up Policy Template
• Exercise Set Up Permissions
• Exercise Set Up Policies
• Exercise Deploy Agents
• Exercise Assign Owners Agents
• Exercise Block Agent
• Exercise Use Rules
• Manage Tools
• Exercise Manage Tools
• Exercise View Audit Logs
• Check
• Summary

Products: M365, Agent 365

Roles: Administrator

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 86 minutes

Govern the enterprise agent lifecycle in Microsoft Foundry. Design agent versioning strategies and approval workflows, implement usage quotas and cost allocation models, establish change management processes for behavioral updates, and design agent retirement workflows that minimize business disruption.

Units in this learning path:

• Introduction
• Design Agent Version Approval Workflows
• Implement Usage Quotas Rate Limiting
• Design Cost Allocation Chargeback Models
• Establish Agent Retirement Deprecation Processes
• Knowledge Check
• Summary

Products: Azure, Microsoft Foundry

Roles: AI Engineer, Solution Architect, Devops Engineer

Level: Advanced

Subjects: Artificial Intelligence, Devops

Duration: 41 minutes

Learn to ground Copilot Studio agent responses in enterprise knowledge by connecting to Copilot connectors, Power Platform connectors as real-time knowledge sources, and Azure AI Search vector indexes. Distinguish the index-based and real-time knowledge approaches and configure authentication for publishing knowledge-grounded agents.

Units in this learning path:

• Introduction
• Choose Knowledge Source Approach
• Add Copilot Connector Knowledge
• Configure Realtime Knowledge Sources
• Connect Azure AI Search
• Knowledge Check
• Summary

Products: Power Platform, Microsoft Copilot Studio

Roles: Functional Consultant, Maker

Level: Advanced

Subjects: Artificial Intelligence

Duration: 50 minutes

In this module, practice building a system that extract data from scanned invoices and create and approval email system. The lab offers interactive practice with real-world scenarios for business-specific challenges.

Units in this learning path:

• Introduction
• Prepare
• Exercise Create Invoice Processing Model
• Exercise Build Approval Email That Uses Invoice Processor Model
• Knowledge Check
• Summary

Products: AI Builder, Power Automate, Power Platform

Roles: Business User, Developer, Functional Consultant

Level: Intermediate

Subjects: Artificial Intelligence, Automation, Business Applications

Duration: 53 minutes

Go beyond theory and learn how to implement Responsible AI framework into a learning environment. Learn through real-world examples and interactive exercises. This module is designed to help integrate AI systems into various work environments.

Units in this learning path:

• Introduction
• Prepare
• Evaluate Case Studies on Using AI Responsibly
• Review Responsible AI Implications on Case Studies
• Design AI Systems Responsibly
• Implement an AI System Into an Organization
• Review Factors to Consider
• Knowledge Check
• Summary

Products: Foundry Tools, Azure Machine Learning, Azure Machine Learning Designer, M365 Apps, Azure Translator Text, Azure Translator Speech, Ms Copilot, Language Service

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

Level: Beginner

Subjects: Artificial Intelligence

Duration: 99 minutes

Build an AI copilot for Contoso Bike Shop. Integrate Azure OpenAI and Cosmos DB to enable advanced data searches, use GPT-3.5 for enhanced results, and deploy the solution on Azure Kubernetes Service.

Units in this learning path:

• Introduction
• Prepare Guided Project
• Exercise Implement Vector Gpt Search
• Exercise Prepare Your Copilot Application
• Exercise Create Azure Kubernetes Service Cluster
• Knowledge Check
• Summary

Products: Azure Cosmos Db, Azure Kubernetes Service, Azure Openai

Roles: Data Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence, Databases

Duration: 43 minutes