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This credential earner has the technical knowledge and practical skills to use IBM Granite models for code generation and programming tasks, and to optimize AI-generated code. The individual can identify the features of IBM Granite models and describe how they assist with programming tasks. The earner can apply prompting techniques to optimize AI-generated code and implement a structured workflow for reviewing and optimizing AI-generated code.

You learn how to compose emails, handle attachments, and organize your inbox in the Outlook, highlighting the differences from the classic version. Learn how to search email threads and conversations more efficiently, work with shared mailboxes, and manage your emails offline.

Units in this learning path:

• Introduction
• Compose Email
• Schedule Send Delay Email
• Advanced Mail Concepts
• Knowledge Check
• Summary

Products: Microsoft 365 Copilot, Ms Copilot, Office, Office 365, Office Outlook

Roles: Business User

Level: Beginner

Subjects: Artificial Intelligence, Productivity

Duration: 28 minutes

In this course, you learn about confidential computing capabilities and how it can help you protect data while it is being processed. You are introduced to the Nitro System and how it provides isolation and security, Nitro Enclaves which provides…

Get step-by-step instructions on how to place Prefab 3D assets and models into a Unity scene. Learn about Unity Scriptable Objects and mixed reality design considerations before deploying to a HoloLens 2.

Units in this learning path:

• Introduction
• Design Considerations
• Unity Prefabs
• Mixed Reality Toolkit Interactions Scriptable
• Exercise Wind Turbine
• Exercise Deploy
• Knowledge Check
• Summary

Products: Azure, Azure Cloud Services, AI Services, Azure Digital Twins, Azure Iot, Azure Iot Hub, Azure Signalr Service, Azure Functions, Hololens, Windows, Windows Mixed Reality

Roles: Developer, Business Owner, Student, Technology Manager

Level: Beginner

Subjects: Mixed Reality

Duration: 41 minutes

Stream simulated operational telemetry data from physical assets to Azure Digital Twins and visualize data in Unity and mixed reality. Learn how to use an ARM template, create a user interface in Unity, and identify performance events before deploying to a HoloLens 2.

Units in this learning path:

• Introduction
• Connect Telemetry Data
• Arm Templates
• Exercise Add Prefab
• Exercise Create Deploy Arm Template
• Connect Stream Data
• Exercise Create Ui
• Visualize Signalr
• Connect Azure Digital Twins
• Deploy
• Identify Performance Events
• Knowledge Check
• Summary

Products: Azure, Azure Cloud Services, AI Services, Azure Digital Twins, Azure Iot, Azure Iot Hub, Azure Signalr Service, Azure Functions, Hololens, Windows, Windows Mixed Reality

Roles: Developer, Business Owner, Student, Technology Manager

Level: Intermediate

Subjects: Mixed Reality, Iot

Duration: 112 minutes

Learn about generative AI and how to use copilots with Copilot Studio and Microsoft Foundry. (AI-3018)

Modules in this learning path:

• Fundamentals Generative AI
• Power Virtual Agent Bots
• Prepare Azure AI Development
• Build Copilot AI Studio

Products: AI Services

Roles: Data Scientist, AI Engineer

Level: Beginner

Subjects: Artificial Intelligence, Machine Learning, Natural Language Processing

Duration: 245 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…

Unlock the hidden insights in your data with Azure AI Search.

Units in this learning path:

• Introduction
• Azure AI Search
• Indexing
• AI Skills
• Search Index
• Knowledge Store
• Exercise
• Knowledge Check
• Summary

Products: Azure Cognitive Search

Roles: AI Engineer, Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 68 minutes

Create a knowledge store with Azure AI Search

Units in this learning path:

• Introduction
• Define Projection Json
• Define Knowledge Store
• Exercise Knowledge Store
• Knowledge Check
• Summary

Products: Azure Cognitive Search

Roles: AI Engineer, Developer, Solution Architect

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 46 minutes

Use Azure Content Understanding for multimodal content analysis and information extraction.

Units in this learning path:

• Introduction
• Content Understanding
• Create Analyzer
• Use API
• Exercise
• Knowledge Check
• Summary

Products: AI Services, Azure AI Foundry

Roles: AI Engineer, Developer

Level: Beginner

Subjects: Artificial Intelligence

Duration: 60 minutes

In this learning path, you practice building custom agents by using Microsoft Copilot Studio. The skills validated include creating managing topics, working with entities and variables, enhancing agents with generative AI, and publishing agents. The scenario in this experience represents real-world challenges faced by individuals with business-specific expertise who build custom agents. PL-7008

Modules in this learning path:

• Power Virtual Agent Bots
• Create Copilots Copilot Studio
• Manage Power Virtual Agent Topics
• Power Virtual Agents Entities
• Build Effective Bots
• Enhance Power Virtual Agent Bots
• Create Chatbot Power Virtual Agents Dataverse Teams
• Autonomous Agent
• Create Bots Power Virtual Agents Copilot

Products: Ms Copilot, Microsoft Copilot Studio

Roles: Maker

Level: Intermediate

Subjects: Artificial Intelligence, Automation, Chatbots

Duration: 476 minutes

Learn how to create agents with Microsoft Copilot Studio.

Modules in this learning path:

• Plan First Chatbot Online Workshop
• Power Virtual Agents Create Online Workshop
• Unified Authoring Online Workshop
• Add Knowledge Copilots Online Workshop
• Build Flows Chatbot Online Workshop

Products: Ms Copilot

Roles: Maker, Business User

Level: Beginner

Subjects: Chatbots

Duration: 171 minutes