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535 courses available

Microsoft

Build an initial agent with Microsoft Copilot Studio

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Learn how to build custom agent by using Microsoft Copilot Studio.

Units in this learning path:

• Introduction
• Copilot Creation
• Copilot Creation with Natural
• Copilot Generative Answers
• Copilot Deploy
• Check
• Summary

Products: Ms Copilot

Roles: Maker

Level: Beginner

Subjects: Chatbots

Duration: 39 minutes

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Microsoft

Build and manage an agent

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This module guides you through the foundational concepts and practical steps required to create, test, and manage agents in Microsoft 365 Copilot Chat and SharePoint.

Units in this learning path:

• Introduction
• Examine Tools Create Agents
• Explore Components No Code Agent
• Create Agent Copilot Chat Part1
• Create Agent Copilot Chat Part2
• Exercise Create Copilot Chat Agent
• Create Agent Sharepoint
• Exercise Create Sharepoint Agent
• Test Edit No Code Agents
• Manage No Code Agents
• Knowledge Check
• Summary

Products: M365, Office 365

Roles: Administrator, Business User, Developer, Student

Level: Beginner

Subjects: Artificial Intelligence, Business Applications, Productivity

Duration: 94 minutes

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Microsoft

Build effective agents with Microsoft Copilot Studio

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Learn the techniques and best practices that help to create agents that users want to interact with.

Units in this learning path:

• Introduction
• Use Cases
• Planning
• Topics
• Design
• Build
• Conversational
• Analytics
• Check
• Summary

Products: Ms Copilot, Power Apps

Roles: Maker, Business User

Level: Intermediate

Subjects: Chatbots

Duration: 56 minutes

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Microsoft

Build effective presentations with AI

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Learn how to create and improve your presentations using Copilot in Microsoft PowerPoint.

Units in this learning path:

• Introduction
• Craft Engaging Slides
• Refine Enhance Presentation
• Exercise Build Presentation
• 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

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Microsoft

Build enterprise AI agents with Java and Spring

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Learn how to build and deploy an AI-powered Java application and AI agents using Spring AI, Azure OpenAI, and Azure Container Apps with PostgreSQL vector storage.

Units in this learning path:

• 1 Introduction
• 2 Pgvector Azure Postgresql Setup
• 3 Exercise Pgvector Azure Postgresql Setup
• 4 Spring AI Development
• 5 Exercise Spring AI Development
• 6 Agent AI Development
• 7 Exercise Agent AI Development
• 8 Aca Deployment
• 9 Exercise Aca Deployment
• 10 Knowledge Check
• 11 Summary

Products: Azure, Azure Openai, Azure Container Apps, Azure Database Postgresql

Roles: Developer

Level: Intermediate

Subjects: Machine Learning, Custom App Development

Duration: 100 minutes

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Microsoft

Build machine learning solutions using Azure Databricks

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Azure Databricks is a cloud-scale platform for data analytics and machine learning. Data scientists and machine learning engineers can use Azure Databricks to implement machine learning solutions at scale. (DP-3014)

Modules in this learning path:

• Explore Azure Databricks
• Use Apache Spark Azure Databricks
• Machine Learning Azure Databricks
• Mlflow Azure Databricks
• Hyperparameters Azure Databricks
• Automl Azure Databricks
• Deep Learning Azure Databricks
• Machine Learning Production Azure Databricks

Products: Azure Databricks

Roles: Data Scientist

Level: Intermediate

Subjects: Artificial Intelligence, Data Management, Machine Learning

Duration: 538 minutes

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Microsoft

Build mixed reality digital twins with Azure Digital Twins and Unity

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Learn how to create a mixed reality application using Azure Digital Twins and Unity, a real-time 3D platform.

Modules in this learning path:

• Set Up Mixed Reality Azure Digital Twins Unity
• Build 3d Scene Mixed Reality Unity
• Configure 3d Assets Mixed Reality Unity
• Connect Iot Hololens Azure Digital Twins Unity

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

Roles: Developer, Business Owner, Student, Technology Manager

Level: Beginner

Subjects: Mixed Reality

Duration: 239 minutes

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Microsoft

Build the vision - visual content creation with Copilot, Designer & Clipchamp

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Evaluate how Microsoft Copilot, Designer, and Clipchamp streamline image generation, video editing, and media enhancement tasks for music video production.

Units in this learning path:

• Introduction
• AI Media Production
• Using Microsoft Copilot Content Creation
• Enhancing Videos Clipchamp
• Microsoft Designer Music Video Production
• Integrating AI Bring Creative Concepts Life
• Knowledge Check
• Exercise
• Summary

Products: Ms Copilot, AI Services

Roles: Student, Maker, K 12 Educator, Business User, Higher Ed Educator

Level: Beginner

Subjects: Artificial Intelligence

Duration: 82 minutes

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Microsoft

Build your own AI copilot with vCore-based Azure Cosmos DB for MongoDB and Azure OpenAI

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Build your own AI copilot with vCore-based Azure Cosmos DB for MongoDB and Azure OpenAI.

Units in this learning path:

• Introduction
• Explore Azure Openai
• Understand Vector Database Retrieval Augmentation Generation Embeddings
• Implement Retrieval Augmentation Generation Vcore Based Cosmos Db Mongodb
• Exercise Develop AI Copilot Vcore Based Azure Cosmos Db Mongodb
• Knowledge Check
• Summary

Products: Azure Cosmos Db, Azure Openai

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence, Databases

Duration: 73 minutes

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IBM

Building AI Solutions Using Advanced Algorithms and Open Source Frameworks

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This badge earner demonstrates knowledge and understanding in technical and scientific concepts related to building AI solutions with open-source frameworks (such as TensorFlow and Keras) to make model predictions using regression, classification, and clustering algorithms such as Naive Bayes, Logistic regression, K-nearest neighbors, Polynomial Linear Regression, SVM (Kernel), Decision tree, and Ensemble learning, K means and DBSCAN for anomaly detection and computer vision.
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Amazon Web Services

Building Generative AI Applications Using Amazon Bedrock

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This course is designed for application developers interested in building generative artificial intelligence (generative AI) applications using either the Amazon Bedrock APIs or AWS-LangChain integration. In this course, you will explore the…
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Amazon Web Services

Building Language Models on AWS

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Amazon SageMaker helps data scientists prepare, build, train, deploy, and monitor machine learning (ML) models. SageMaker brings together a broad set of capabilities, including access to distributed training libraries, open source and foundation…
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