Introduction to AI in Azure (AI-901T00-A) Training in Finland

Artificial intelligence is reshaping how organisations design, build, and scale modern applications. We believe the future belongs to those who can apply AI alongside cloud technologies to solve real business problems. This one-day course introduces the foundational concepts of AI and explores how Microsoft Azure enables the development of intelligent applications and agents.

Learners will gain a practical understanding of core AI workloads, including generative AI, natural language processing, speech, and computer vision. The course also introduces Azure AI services and tools, enabling participants to begin building simple AI-powered solutions. Aligned with Microsoft’s updated AI curriculum, this course provides a clear starting point for anyone beginning their journey into AI development.

Prerequisites

There are no formal prerequisites for this course. However, learners will benefit from having:

• Basic understanding of programming concepts, ideally using Python
• General awareness of cloud computing principles, including compute, storage, and authentication
• Interest in AI technologies and their application in real-world scenarios

Target audience

This course is designed for individuals at the early stages of their AI and technology careers. It is suitable for:

• Aspiring AI solution developers seeking foundational knowledge
• Junior technologists exploring AI capabilities within cloud platforms
• Students and career switchers entering AI or cloud-related roles
• Professionals looking to understand how AI can be applied within Azure environments

By the end of this course, learners will be able to:

• Describe fundamental concepts of artificial intelligence and machine learning
• Identify common AI workloads, including generative AI, natural language processing, speech, and computer vision
• Explain key principles behind responsible AI and ethical considerations
• Recognise the capabilities of Azure AI services and how they support application development
• Build and deploy simple AI-powered applications using Azure tools
• Understand how AI agents can be created and integrated into workflows
• Navigate Microsoft Learn and Foundry modules to continue developing AI skills

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