AI-901: Azure AI Fundamentals
Master Azure AI services and prepare for AI-900 certification
Build foundational knowledge of Azure AI services, responsible AI principles, and machine learning fundamentals to confidently deploy AI solutions and prepare for Microsoft AI-900 certification.
At a Glance
Who it's for
- IT professionals new to Azure AI services
- Data analysts exploring AI capabilities
- Business analysts evaluating AI solutions
- Students preparing for AI-900 certification
- Developers beginning their AI journey
- Project managers overseeing AI implementations
Course Details
Course Overview
Master the fundamentals of artificial intelligence on Microsoft Azure with this comprehensive 8-hour course designed for professionals new to AI. You'll explore Azure AI services including Computer Vision, Natural Language Processing, and Azure OpenAI Service, while building practical understanding of machine learning concepts and responsible AI principles. Through hands-on labs and real-world scenarios, you'll learn to identify appropriate AI workloads, implement responsible AI practices aligned with Australian governance frameworks, and prepare confidently for the Microsoft AI-900 certification exam. Perfect for Australian organisations adopting Azure AI technologies.
What You'll Learn
Course Curriculum
Module 1: AI Workloads and Considerations
2 hours- Introduction to artificial intelligence concepts
- Identifying AI workloads: anomaly detection use cases
- Computer vision applications and Azure Computer Vision service
- Natural language processing and Language Service capabilities
- Knowledge mining with Azure Cognitive Search
- Conversational AI and Azure Bot Service
- Selecting appropriate AI services for business scenarios
Module 2: Fundamental Principles of Machine Learning
2 hours- Understanding machine learning core concepts
- Supervised learning: regression for predictions
- Supervised learning: classification for categorisation
- Unsupervised learning: clustering for pattern discovery
- Training, validation, and testing datasets
- Azure Machine Learning workspace and capabilities
- Evaluating model performance and accuracy
Module 3: Features of Generative AI on Azure
2 hours- Introduction to generative AI and large language models (LLMs)
- Understanding Azure OpenAI Service capabilities
- Generative AI use cases: content creation, summarisation, code generation
- Prompt engineering fundamentals and best practices
- Responsible use of generative AI models
- Hands-on lab: Building prompts with Azure OpenAI
- Understanding model capabilities and limitations
Module 4: Responsible AI Principles
2 hours- Microsoft's six pillars of Responsible AI
- Fairness: identifying and mitigating bias in AI systems
- Reliability and Safety: ensuring consistent and safe AI behaviour
- Privacy and Security: protecting data in AI solutions
- Inclusiveness: designing AI accessible to all users
- Transparency: understanding AI decision-making
- Accountability: governance and oversight of AI systems
- Applying responsible AI to Australian Privacy Principles and compliance
Who Should Attend
- IT professionals exploring Azure AI capabilities
- Data analysts and business analysts
- Software developers beginning AI development
- Project managers overseeing AI projects
- Students preparing for AI-900 certification
- Career changers entering the AI field
- Business decision-makers evaluating AI technologies
Prerequisites
Before enrolling, please ensure you meet these requirements:
- • Basic familiarity with computers and web browsers
- • Understanding of basic cloud concepts (helpful but not required)
- • No programming experience required
- • No prior AI or machine learning knowledge required
- • Willingness to learn new technologies
Delivery, Format and Logistics
Delivery Mode
Live online with hands-on labs
Maximum 20 participants for interactive labs
What You'll Need
- Computer with modern web browser (Edge, Chrome, or Firefox)
- Active Microsoft Azure account (free tier acceptable)
- Reliable internet connection (minimum 10 Mbps)
- No prior AI or programming experience required
- Basic familiarity with cloud concepts helpful but not required
What You'll Receive
- 8 hours of instructor-led training
- Hands-on labs in Azure AI services
- Azure AI service overview and comparison guide
- AI-900 exam preparation materials and practice questions
- Responsible AI framework templates
- AI workload assessment checklist
- Certificate of completion
- 3 months access to course materials
Frequently Asked Questions
Not Ready to Enrol?
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Next Intake
September 2026 — register your interest at educ4te.com
Format
Live online with hands-on labs
Group & Enterprise Options
Discounted rates available for teams of 3+ delegates. Contact us for in-house delivery options.
What's Included
- 8 hours of instructor-led training
- Hands-on labs in Azure AI services
- Azure AI service overview and comparison guide
- AI-900 exam preparation materials and practice questions
- Responsible AI framework templates
- AI workload assessment checklist
- Certificate of completion
- 3 months access to course materials
Have questions about this course?