Introduction to AI fundamentals
- Define artificial intelligence and machine learning concepts
- Explore how AI is used across industries and organisations
- Understand the difference between traditional and modern AI approaches
- Identify real-world AI use cases and applications
Understanding AI workloads
- Overview of common AI workloads and scenarios
- Introduction to generative AI and its business impact
- Natural language processing concepts and use cases
- Speech recognition and synthesis fundamentals
- Computer vision capabilities and applications
Responsible AI and ethics
- Principles of responsible AI development
- Fairness, transparency, and accountability in AI systems
- Managing bias and ensuring ethical AI outcomes
- Governance and compliance considerations for AI solutions
Introduction to Azure AI services
- Overview of Azure AI portfolio and capabilities
- Understanding how Azure supports AI development lifecycle
- Key services for language, speech, vision, and decision-making
- Selecting the right service for different AI workloads
Building AI applications and agents
- Introduction to Microsoft Foundry and development tools
- Creating simple AI-powered applications using Azure services
- Designing and deploying basic AI agents
- Integrating AI capabilities into existing workflows
Working with Azure AI services
- Using Azure AI Language for text analysis and NLP scenarios
- Leveraging Speech services for voice-enabled applications
- Applying Vision services for image and video analysis
- Exploring Document Intelligence for information extraction
Deploying and managing AI solutions
- Deploying lightweight AI applications in Azure
- Monitoring and managing AI services
- Understanding scalability and performance considerations
- Best practices for maintaining AI solutions in production
Putting it all together
- End-to-end walkthrough of building an AI-powered application
- Combining multiple AI services into a single solution
- Demonstration of a real-world AI use case
- Guidance on next steps for further learning and certification
Exams and assessments
There are no formal exams included in this course. Learners will complete knowledge checks and interactive exercises throughout the day to reinforce understanding of key concepts and ensure practical comprehension.
Hands-on learning
This course includes:
- Guided demonstrations of Azure AI services in action
- Interactive exercises using Microsoft Learn modules
- Practical examples of building simple AI applications and agents
- Instructor-led walkthroughs to support real-world understanding
