Explore digital courses

This learning plan introduces AWS services in a clinical context, whilst covering AI, Data, Security and Cloud Economics fundamentals. This set of Skill Builder digital courses enables hospital directors and healthcare executives to confidently…

Learn about the best practices for developing Azure-enabled mixed reality applications with the Mixed Reality Toolkit.

Modules in this learning path:

• Learn Introduction Tutorials Mrtk
• Place Scene Objects Tutorials Mrtk
• Get Started with Object Interaction Tutorials Mrtk
• Using Eyetracking and Voice Commands Mrtk
• Azure Speech Services Tutorials Mrtk
• Spatial Audio Tutorials Mrtk
• Azure Cloud Services Tutorials Mrtk
• PC Holographic Remoting Tutorials Mrtk

Products: Azure, Windows Mixed Reality, Mrtk, Hololens

Roles: Developer, Business Owner, Student, Technology Manager

Level: Beginner

Subjects: Mixed Reality

Duration: 293 minutes

This credential earner is an educator who has participated in a series of online institutes to become fluent and knowledgeable in artificial intelligence (AI). The individual has an understanding of AI applications such as machine learning and natural language processing, along with how it is used to solve problems, collect data and identify bias. The earner is equipped to share the foundational knowledge of artificial intelligence with their colleagues and students in their classrooms.

Through validated Artificial Intelligence (AI) instructor-led training, this credential earner has acquired the skills and understanding of AI concepts and technologies. The earner has demonstrated proficiency and understanding of Artificial Intelligence technical topics and design thinking. They have gained the ability to apply the concepts and technology of Artificial Intelligence with applicable open source tools that are relevant to real world AI scenarios, suitable for educational purposes.

This certificate earner has advanced technical skills in AI concepts, such as Machine Learning Methods & Tools, Data Analytics for ML, NLP, Deep Learning and GenAI, and AI applications. Through completion of a comprehensive curriculum, application-based assessments, and authentic experiential learning on how to run an AI model using IBM Watson Studio, the earner is aware of the job outlook in fields that use AI and is familiar with the skills required for success in various roles in the domain.

Through an IBM instructor-led workshop, this credential earner gained skills on Artificial Intelligence (AI) concepts, technology & use cases. The earner has demonstrated proficiency on these topics: Artificial Intelligence Foundations, Machine Learning, AI Language & Vision, Design Thinking for AI, & AI Industry Use Cases. The earner demonstrates capacity to deliver the Artificial Intelligence course applying pedagogical skills to drive group work using challenged-based scenarios.

Through an IBM instructor-led workshop, this credential earner gained skills on Artificial Intelligence concepts, technology & use cases. The earner has demonstrated readiness to teach AI Fundamentals, Machine Learning Methods & Tools, Data Analytics for Machine Learning, NLP, Deep Learning and GenAI, & AI Industry Use Cases. The earner demonstrates the ability to deliver the AI course, applying pedagogical skills in the context of machine learning solutions for business applications.

Uncover and evaluate AI agent use cases that deliver measurable business value with financial efficiency.

Units in this learning path:

• Research Use Cases
• Identify Business Needs Define AI Use Cases
• Identify Quick Wins
• Knowledge Check
• Summary

Products: Microsoft Foundry, Foundry Tools, Azure Openai, Ms Copilot

Roles: Developer

Level: Intermediate

Subjects: Artificial Intelligence

Duration: 21 minutes

Explore the AI Builder Key phrase extraction model and learn how to use it with other Microsoft Power Platform products.

Units in this learning path:

• 1 Intro Key Phrase Extraction
• 2 Business Problems Solved
• 3 Exercise
• 3a Check
• 4 Summary

Products: AI Builder, Power Platform, Power Automate

Roles: Business User, Maker

Level: Beginner

Subjects: Artificial Intelligence

Duration: 25 minutes

Explore AI Builder Language detection and learn how to use it with other Microsoft Power Platform products.

Units in this learning path:

• 1 Intro to Language Detection
• 2 Business Problems Solved
• 3 Exercise
• 3a Check
• 4 Summary

Products: AI Builder, Power Platform, Power Automate

Roles: Maker, Business User

Level: Beginner

Subjects: Artificial Intelligence

Duration: 28 minutes

Learn to design intelligent search, work with models and embeddings, and build Retrieval Augmented Generation (RAG) patterns in T-SQL.

Modules in this learning path:

• Design Implement Models Embeddings with SQL
• Design Implement Intelligent Search with SQL
• Design Implement Rag with SQL

Products: Azure SQL Database, SQL Server, Foundry Tools

Roles: Developer, Data Engineer

Level: Intermediate

Subjects: Artificial Intelligence, Databases

Duration: 220 minutes

Implement AI models with Microsoft Power Platform AI Builder

Modules in this learning path:

• Get Started AI Builder Document Automation
• Get Started with Form Processing
• Use AI Builder
• Get Started with AI Builder Text Recognition
• AI Builder Prediction
• Guided Project Document Process Model Email Approval AI Builder

Products: AI Builder, Power Apps, Power Automate, Power Platform

Roles: Developer, Functional Consultant

Level: Intermediate

Subjects: Artificial Intelligence, Automation, Business Applications

Duration: 192 minutes