AI and machine learning
Learning
Learning Paths
Learn the fundamental concepts of AI security.
Levels: Beginner
Roles: Developer, Administrator, Security Engineer
Modules
Learn how to set up and use the copilot template for store operations on Azure OpenAI Service, and explore some of its features.
Levels: Intermediate
Roles: Functional Consultant, Solution Architect
Modules
Generative Artificial Intelligence (AI) engineering with Azure Databricks uses the platform's capabilities to explore, fine-tune, evaluate, and integrate advanced language models. By using Apache Spark's scalability and Azure Databricks' collaborative environment, you can design complex AI systems.
Levels: Intermediate
Roles: Data Scientist
Modules
In this learning path, you practice building custom copilots by using Microsoft Copilot Studio. The skills validated include creating managing topics, working with entities and variables, enhancing copilots with generative AI, and publishing copilots. The scenario in this experience represents real-world challenges faced by individuals with business-specific expertise who build custom copilots.
Levels: Intermediate
Roles: App Maker
Modules
- Build an initial copilot with Microsoft Copilot Studio
- Manage topics in Microsoft Copilot Studio
- Work with entities and variables in Microsoft Copilot Studio
- Enhance Microsoft Copilot Studio copilots
- Create a copilot with Microsoft Copilot Studio and Dataverse for Teams
- Guided Project - Create copilots with Microsoft Copilot Studio
Learn how to boost productivity with AI by understanding how to craft effective prompts with Copilot across Microsoft applications such as Word, PowerPoint, Outlook, Excel, and Teams. The AI Skills for Nonprofits collection is designed as a comprehensive skilling path to enhance the digital capabilities of nonprofit organizations. This learning path is recommended for all nonprofit professionals.
Levels: Beginner
Roles: Functional Consultant, Higher Education Educator, School Leader, K-12 Educator, Business User, Business Owner
Modules
Learn how to use and create copilots with Copilot Studio and Azure AI Studio.
Levels: Beginner
Roles: Data Scientist, AI Engineer
Modules
Build AI Apps with Azure Database for PostgreSQL.
Levels: Intermediate
Roles: Developer
Modules
- Get started with generative AI in Azure Database for PostgreSQL
- Enable semantic search in Azure Database for PostgreSQL
- Summarize data with Azure AI Services and Azure database for PostgreSQL
- Perform sentiment analysis and opinion mining with Azure Database for PostgreSQL
- Extract insights using Azure AI Language and Azure Database for PostgreSQL
- Translate Text with Azure AI Translator and Azure Database for PostgreSQL
- Use Azure Machine Learning for inferencing from Azure Database for PostgreSQL
Build an AI copilot with vCore-based Azure Cosmos DB for MongoDB and Azure OpenAI.
Levels: Intermediate
Roles: Developer
Modules
In this learning path, you'll embark on an insightful exploration of Microsoft’s Responsible AI framework, learning how to apply ethical principles to the development and use of AI technologies. You start by learning the frameworks that shape Microsoft’s approach to responsible AI, focusing on the commitment to the six responsible AI principles. As you progress, you discover practical ways to integrate these principles into educational environments, ensuring that AI tools not only enhance learning experiences but also uphold values of fairness and privacy. The learning path concludes with hands-on exercises, translating theoretical knowledge into real-world practice. This learning path equips you with the necessary skills to implement responsible AI systems responsibly in any learning environment.
Levels: Beginner
Roles: K-12 Educator, Business User, Higher Education Educator, Data Engineer, School Leader
Modules
In today's fast-paced digital era, artificial intelligence (AI) is changing the way we train and educate. This learning path is designed to equip you with an understanding of how AI tools can transform a learning environment. Throughout this learning path, you'll explore how AI can elevate the training experience, build engaging content, and foster a more inclusive training environment. You'll also explore the advantages of integrating AI-powered productivity tools into your daily educational practices. By the end of this learning path, you'll be equipped to design and implement training ecosystems that apply AI tools to enhance the training process.
Levels: Beginner
Roles: K-12 Educator, Business User, Higher Education Educator, Data Engineer, School Leader
Modules
Discover the world of generative AI, including basic concepts, the different applications in various fields, and the skills necessary to use generative AI tools within training environments. Gain knowledge of large language models (LLMs), AI-powered image generators, and Microsoft Copilot. Explore prompt engineering, navigate the limitations of content created by generative AI models, and learn to utilize generative AI models into your trainings critically and responsibly.
Levels: Beginner
Roles: K-12 Educator, Business User, Higher Education Educator, Data Engineer, School Leader
Modules
Learn how to create custom copilots with the Azure AI Studio.
Levels: Intermediate
Roles: Data Scientist, AI Engineer
Modules
Learning Modules
