AI-900: Azure AI Fundamentals

Course Description

The AI-900: Microsoft Azure AI Fundamentals course introduces you to the basic concepts of artificial intelligence and familiarizes you with the AI services offered by Microsoft Azure. Through practical demonstrations and interactive workshops, you will learn to understand and use Azure Cognitive Services such as Vision, Speech, and Language. This course is ideal for AI beginners or those wishing to prepare for the AI-900 exam to obtain the Microsoft Azure AI Fundamentals certification.

Learning Objectives

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

• Understand the basic concepts of artificial intelligence and machine learning.
• Explore Azure Cognitive Services, including Vision, Speech, and Language.
• Use Azure Machine Learning to build and deploy machine learning models.
• Deploy and integrate AI solutions into applications based on the Azure cloud.
• Prepare effectively for the AI-900 exam to obtain the certification.

Who is this course for?

The course is intended for a wide audience, including:

• Beginners in artificial intelligence wishing to acquire practical skills on Azure.
• Developers, technical leads, or project managers who want to understand the AI services available on Azure.
• IT professionals wishing to prepare for the **Microsoft Azure AI Fundamentals** (AI-900) certification.
• Decision-makers or entrepreneurs interested in AI technologies in a cloud environment.

Prerequisites

No specific prerequisites are required.

Course Outline

The course is delivered intensively over one day and is structured as follows:

• Introduction to Artificial Intelligence
• Definition and key concepts of AI, Machine Learning (ML), and Deep Learning.
• Types of algorithms: supervised, unsupervised, reinforcement learning.
• Common AI applications in businesses: natural language processing (NLP), computer vision, recommendations, etc.
• Introduction to Azure AI
• Overview of Azure’s main services for AI: Azure Cognitive Services, Azure Machine Learning.
• Azure Cognitive Services: Computer Vision, text analytics, translation, speech recognition, etc.
• Azure Machine Learning: Create, train, and deploy ML models on Azure.
• Q&A and Demonstration
• Showcase of Azure AI tools in action (Azure Cognitive Services, Azure ML Studio).
• Question-and-answer session.
• Using Azure Cognitive Services
• Computer Vision: Using the image recognition API to detect objects in photos.
• Natural Language Processing (NLP): Text analytics, sentiment analysis, language detection.
• Speech Recognition: Introduction to transcription and text-to-speech services.
• Hands-on Workshop - Create a simple AI application
• Hands-on workshop: Using Azure Cognitive Services to build a simple image recognition or text analysis solution.
• Group exercise: Each participant creates a small application using one of the Azure AI services.
• Conclusion and Preparation for the AI-900 Exam
• Review of key points from the course.
• Tips for the AI-900 exam: Strategies and resources for certification.
• Final Q&A and discussion on using Azure AI services in real projects.

Course Highlights

• Accessible approach: Ideal training for beginners with clear pedagogy and a theory–practice alternation.
• AI skills acquisition: Learn the basics of artificial intelligence and machine learning on the Azure platform.
• Recognized certification: Validate your skills with a globally recognized Microsoft certification.
• Hands-on workshops: Direct experiments with Azure AI services for optimal understanding of tools and solutions.
• Expert instructors: Training delivered by qualified professionals, experts in AI and Cloud Computing.

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Teaching Methods and Tools Used

• Live demonstrations: Interaction with Azure cloud AI services.
• Practical workshops and real case studies: Applying concepts across various sectors.
• Experience feedback: Sharing best practices and common mistakes in companies.
• Simulations and tools: Use of AZURE AI resources for interactive workshops.

Assessment

• End-of-course multiple-choice quiz.
• Practical case studies.
• Continuous assessment with personalized feedback.

Normative References

• Azure Well-Architected Framework
• ISO/IEC 19086
• GDPR (General Data Protection Regulation)
• NIST Cloud Computing Standards (SP 500-292)
• ISO 27001 Information Security