Microsoft Azure AI Fundamentals (AI-900) Exam Preparation

Microsoft Azure AI Fundamentals (AI-900) Exam Preparation

Welcome to the Microsoft Azure AI Fundamentals course, a comprehensive programme designed to provide you with the essential knowledge and skills required to pass the Microsoft AI-900 certification exam. In today’s rapidly evolving technological landscape, artificial intelligence has emerged as a transformative force across industries, and Microsoft Azure offers a robust suite of services to harness its power.

This course takes you on a structured journey through the core concepts of artificial intelligence, machine learning fundamentals, and the practical implementation of AI solutions using Azure services. Whether you’re an IT professional looking to expand your skillset, a developer interested in AI capabilities, or simply someone curious about the world of artificial intelligence, this course provides the perfect starting point.

Throughout this intensive three-day programme, you’ll gain hands-on experience with Azure AI services, understand how to implement various AI workloads, and build confidence in working with cognitive services, machine learning, and conversational AI. The curriculum balances theoretical foundations with practical applications, ensuring you not only understand AI concepts but can also apply them in real-world scenarios.

By the end of this course, you’ll have developed a solid understanding of Azure’s AI capabilities and be well-prepared for the AI-900 certification exam, positioning yourself at the forefront of this exciting and rapidly growing field.

Learning Outcomes

Upon completion of this course, participants will be able to:

• Understand and explain core AI concepts, principles, and their business applications
• Describe the key capabilities of Azure Machine Learning and Cognitive Services
• Implement and manage computer vision, natural language processing, and conversational AI solutions
• Identify appropriate Azure AI services for specific use cases and business requirements
• Understand ethical considerations and responsible approaches to AI implementation
• Apply knowledge through hands-on labs with Azure AI services
• Navigate the Azure portal and deploy AI solutions confidently
• Prepare effectively for the Microsoft AI-900 certification exam

Course Outline

Module 1: Introduction to AI Concepts and Azure AI Services

• Defining artificial intelligence and its relationship to machine learning and deep learning
• Exploring different types of AI systems (narrow AI vs. general AI)
• Understanding the ethical considerations and responsible use of AI technology
• Navigating the Azure AI portfolio: overview of core services and capabilities
• Exploring key business applications and real-world AI use cases
• Understanding Azure’s approach to democratizing AI for organizations

Module 2: Machine Learning Fundamentals

• Understanding core machine learning concepts and terminology
• Distinguishing between supervised, unsupervised, and reinforcement learning approaches
• Exploring the machine learning workflow: from data preparation to model deployment
• Introduction to Azure Machine Learning workspace and its core components
• Working with datasets and understanding feature engineering basics
• Exploring model training, evaluation metrics, and deployment options

Module 3: Computer Vision Solutions

• Understanding computer vision capabilities and use cases in Azure
• Working with the Computer Vision service for image analysis and content moderation
• Implementing Face detection, analysis, and recognition solutions
• Creating custom vision models for specialized image classification and object detection
• Exploring Form Recognizer for automating data extraction from documents
• Hands-on lab: Building and deploying computer vision solutions

Module 4: Natural Language Processing

• Understanding NLP concepts and capabilities in Azure
• Implementing text analytics for sentiment analysis, key phrase extraction, and entity recognition
• Working with the Language service for language understanding and conversational language models
• Exploring translation services and multi-language capabilities
• Implementing document intelligence solutions
• Hands-on lab: Building NLP solutions for text analysis and understanding

Module 5: Conversational AI

• Understanding the architecture and components of conversational AI systems
• Building intelligent chatbots with Azure Bot Service
• Integrating QnA Maker for knowledge base question-answering capabilities
• Implementing Language Understanding (LUIS) for natural language intent recognition
• Designing effective conversation flows and bot personality
• Hands-on lab: Creating and deploying a functional chatbot

Module 6: Generative AI on Azure

• Understanding the foundations and capabilities of generative AI models
• Exploring Azure OpenAI Service and its integration with Azure services
• Implementing responsible AI practices for generative models
• Understanding prompt engineering and model fine-tuning concepts
• Exploring multimodal AI applications combining text, vision, and speech
• Hands-on lab: Experimenting with generative AI capabilities

Module 7: AI Solutions and Deployment

• Designing end-to-end AI solutions that combine multiple Azure services
• Understanding security and compliance considerations for AI workloads
• Implementing monitoring and management for AI solutions
• Exploring cost optimization strategies for Azure AI services
• Scaling AI solutions from proof of concept to production
• Hands-on lab: Deploying and configuring a complete AI solution

Module 8: Exam Preparation and Review

• Comprehensive review of AI-900.exam objectives and knowledge areas
• Practice with exam-style questions and scenario-based assessments
• Identifying and addressing knowledge gaps through targeted discussion
• Understanding exam format, question types, and time management strategies
• Developing a personalized exam preparation plan
• Final Q&A session to address remaining questions

Conclusion

The Microsoft Azure AI Fundamentals course provides a solid foundation for understanding and implementing AI solutions using Microsoft Azure. Through a combination of theoretical knowledge and hands-on practice, you’ll gain the confidence and skills needed to pass the AI-900 certification exam and begin your journey in the exciting field of artificial intelligence.

This course is just the beginning of your AI learning path. Upon completion, you’ll be well-positioned to explore more advanced Azure AI certifications and specialized areas of artificial intelligence based on your interests and career goals.

Intended Audience

This course is ideal for IT professionals, developers, data scientists, business analysts, and anyone interested in gaining foundational knowledge of AI and Azure AI services. No prior experience with AI or Azure is required, making it perfect for those beginning their AI journey or looking to validate their fundamental AI skills with an industry-recognized certification.

Prerequisites

Those attending this course should meet the following:

• Basic IT literacy and familiarity with computing concepts
• General understanding of cloud computing concepts (beneficial but not required)
• A Microsoft account for accessing Azure services
• No prior AI or machine learning experience required