Introduction to Artificial Intelligence in Microsoft Azure (AI-900T00)
Foundational understanding of AI concepts and Microsoft Azure AI services for practical applications
Course Schedule
| Date | Venue | Fees (Face-to-Face) |
|---|---|---|
| 17 – 18 May 2026 | Riyadh, KSA | USD 1995 per delegate |
Course Introduction
Artificial Intelligence (AI) is transforming industries by enabling organizations to analyze data, automate processes, and enhance decision-making. Microsoft Azure provides a comprehensive platform for deploying AI solutions efficiently and effectively.
This 2-day intensive training introduces participants to AI concepts and Microsoft Azure AI services. Through interactive sessions, demonstrations, and practical exercises, participants will learn how to design, implement, and manage AI solutions, gaining the foundational knowledge required to leverage AI in real-world scenarios.
Course Objectives
By the end of this course, participants will be able to:
- Understand core AI concepts and terminology
- Identify AI workloads and capabilities in Microsoft Azure
- Explore Azure AI services including cognitive services, machine learning, and conversational AI
- Analyze and interpret data using AI models
- Implement AI solutions using Azure tools and services
- Understand ethical considerations and best practices in AI deployment
- Develop foundational skills to support AI initiatives in organizations
Key Benefits of Attending
- Gain a foundational understanding of AI concepts and applications
- Learn to leverage Microsoft Azure AI services for real-world solutions
- Improve ability to analyze data and implement AI models
- Understand ethical considerations and AI governance
- Enhance technical skills for future AI-related roles
Intended Audience
This program is designed for:
- IT professionals and software developers
- Data analysts and AI enthusiasts
- Business managers and project leaders exploring AI solutions
- Students and professionals seeking foundational AI knowledge
- Individuals involved in implementing AI projects on Microsoft Azure
Individual Benefits
Key competencies that will be developed include:
- Understanding AI principles and applications
- Familiarity with Azure AI services and tools
- Ability to analyze data and design AI solutions
- Knowledge of ethical AI and best practices
- Practical skills for AI deployment on cloud platforms
Organization Benefits
Upon completing the training course, participants will demonstrate:
- Ability to leverage AI to improve business processes and decisions
- Enhanced capacity to design and implement AI solutions on Azure
- Improved data-driven decision-making and automation capabilities
- Knowledge of ethical and responsible AI practices
- Strengthened technical expertise for organizational AI initiatives
Instructional Methdology
The course follows a blended learning approach combining theory with practice:
- Strategy Briefings – Core AI concepts and Azure AI architecture
- Case Studies – Real-world applications of AI in various industries
- Workshops – Hands-on exercises using Azure AI services
- Peer Exchange – Discussions on AI challenges and implementation strategies
- Tools – Templates, scripts, and Azure resources for AI solution design
Course Outline
Detailed 2-Day Course Outline
Training Hours: 9:00 AM – 3:30 PM
Daily Format: 3–4 Learning Modules | Coffee breaks included
Day 1: Introduction to AI and Azure AI Services
Module 1: AI Fundamentals (09:00 – 10:30)
- Overview of AI concepts, types, and applications
-
Understanding AI workloads and tasks
Module 2: Introduction to Microsoft Azure AI (10:45 – 12:15)
- Azure AI architecture and capabilities
-
Key AI services and tools
Module 3: Cognitive Services Overview (01:00 – 02:15)
- Vision, language, speech, and decision services
-
Practical use cases and examples
Module 4: Workshop – Cognitive Services (02:30 – 03:30)
- Hands-on exercises with Azure Cognitive Services
- Group discussion and Q&A
Day 2: Implementing AI Solutions on Azure
Module 1: Azure Machine Learning (09:00 – 10:30)
- Overview of Azure ML workspace and pipelines
-
Building and deploying ML models
Module 2: Conversational AI and Bots (10:45 – 12:15)
- Designing chatbots and virtual assistants
-
Integrating bots with Azure services
Module 3: Responsible AI and Best Practices (01:00 – 02:15)
- Ethical considerations in AI development
-
Governance and compliance best practices
Module 4: Workshop – AI Solution Implementation (02:30 – 03:30)
- Hands-on exercise creating a small AI project on Azure
-
Group discussion and review
Certification
Participants will receive a Certificate of Completion in Introduction to Artificial Intelligence in Microsoft Azure (AI-900T00), validating their foundational knowledge of AI concepts and practical skills in using Azure AI services for real-world applications.