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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

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, Foundry Tools, 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

Learn to build multi-agent solutions in Copilot Studio by connecting your orchestrator to existing agents built on Microsoft's agentic platform. Configure connections to Copilot Studio agents, Microsoft Foundry agents, and Microsoft Fabric Data agents, and manage your connected agent ecosystem for accurate orchestration.

Units in this learning path:

• Introduction
• Understand Connected Agents
• Connect Copilot Studio Agent
• Connect Foundry Agent
• Connect Fabric Data Agent
• Manage Test Connected Agent Solution
• Knowledge Check
• Summary

Products: Microsoft Copilot Studio

Roles: Maker

Level: Intermediate

Subjects: Artificial Intelligence, Chatbots

Duration: 54 minutes

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, Foundry Tools

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

Level: Beginner

Subjects: Artificial Intelligence

Duration: 82 minutes

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

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.

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…

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…

Retrieval Augmented Generation (RAG) is a powerful technique that enhances the accuracy and relevance of AI-generated responses by combining information retrieval with text generation. In this course, you will explore how to build RAG solutions…

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 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 badge earner has completed all the learning activities included in this online learning experience, including hands-on experience, concepts, methods, and tools related to exploring the ethical adoption of AI technologies in the enterprise. The individual has demonstrated skills and understanding of the use of AI technologies for business, including: AI industry adoption trends, AI ethical considerations, Natural Language Processing, and Virtual Agents.