

Introduction to AI in Azure
Introduction to AI in Azure
The AI-900T00-A: Introduction to AI in Azure course is designed to provide learners with a strong foundational understanding of artificial intelligence (AI) concepts and how they are implemented using Microsoft Azure AI services. This course enables participants to understand how AI technologies support data-driven decision-making, automation, and intelligent application development in modern organisations.
Throughout the course, learners will explore core AI principles, including machine learning, computer vision, natural language processing, and conversational AI. The curriculum introduces key Azure AI services such as Azure Machine Learning, Azure Cognitive Services, and Azure Bot Services, focusing on their real-world business and technical applications.
This course is ideal for individuals who want to understand AI capabilities without needing advanced programming or data science expertise. By the end of the course, participants will be able to identify appropriate AI workloads, evaluate Azure AI solutions, and understand ethical considerations, security, and responsible AI practices. The course is fully aligned with the Microsoft Azure AI Fundamentals (AI-900) certification.
Azure AI Fundamentals Training – Key Learning Outcomes:
This training provides a comprehensive introduction to artificial intelligence fundamentals with practical exposure to Microsoft Azure AI services. By completing this course, participants will:
- Develop a strong foundational understanding of core AI concepts, including machine learning, natural language processing (NLP), computer vision, and generative AI.
- Gain hands-on experience using Azure AI Foundry to design, build, and evaluate intelligent applications in a real-world cloud environment.
- Learn how AI is applied in practical business scenarios such as text analytics, speech recognition, image analysis, and information extraction.
- Understand Responsible AI principles, including fairness, transparency, security, and ethical considerations when designing AI-driven solutions.
- Establish a solid theoretical and practical base to confidently progress toward advanced AI projects, Azure AI certifications, and enterprise-level implementations.
Prerequisites:
Prerequisite certification is not required before taking this course. However, successful Azure AI Fundamental students start with essential knowledge of computing and internet concepts and an interest in using Azure AI services.
Before taking this course, students should have:
- Experience using computers and the internet.
- Interest in use cases for AI applications and machine learning models.
- A willingness to learn through hands-on exploration.
Course Content
12 modules · 12 topics01Module 1: Introduction to AI Concepts1 topic
- Explore core AI topics including generative AI, computer vision, speech, natural language processing, and responsible AI.
02Module 2: Introduction to Machine Learning Concepts1 topic
- Understand machine learning types, regression, classification, clustering, deep learning, and transformers.
03Module 3: Get Started with Machine Learning in Azure1 topic
- Learn to define problems, prepare data, train models, and use Azure Machine Learning Studio.
04Module 4: Introduction to Generative AI Concepts1 topic
- Discover how language models and transformers generate original content and apply responsible practices.
05Module 5: Get Started with Generative AI in Azure1 topic
- Use Azure AI Foundry’s tools, model catalog, and playgrounds to build generative AI apps.
06Module 6: Introduction to Natural Language Processing Concepts1 topic
- Learn the fundamentals of NLP, from statistical techniques to semantic models.
07Module 7: Get Started with Natural Language Processing in Azure1 topic
- Apply Azure AI Language services for sentiment analysis, conversational AI, and translation.
08Module 8: Get Started with Speech in Azure1 topic
- Recognize and synthesize speech with Azure AI Speech services.
09Module 9: Introduction to Computer Vision Concepts1 topic
- Explore image processing, modern vision models, and machine learning for vision.
10Module 10: Get Started with Computer Vision in Azure1 topic
- Use Azure AI Vision services to analyze images and detect faces.
11Module 11: Introduction to AI-Powered Information Extraction Concepts1 topic
- Understand how to extract data from images, forms, and multimodal sources.
12Module 12: Get Started with AI-Powered Information Extraction in Azure1 topic
- Use Azure AI services to extract insights, build knowledge mining solutions, and analyze documents.
Schedule Dates
4 upcoming batches| Batch Dates | Duration | Batch Options | Language | Action |
|---|---|---|---|---|
| 09 December 2026 | 1 Day | 4 hours & 8 hours | English / Arabic | |
| 09 March 2027 | 1 Day | 4 hours & 8 hours | English / Arabic | |
| 09 June 2027 | 1 Day | 4 hours & 8 hours | English / Arabic | |
| 09 September 2027 | 1 Day | 4 hours & 8 hours | English / Arabic |
Can’t find a suitable date? Request a schedule that fits your team.
Request More InformationFAQs
What is the AI-900T00-A course about?
The AI-900T00-A course introduces the fundamentals of artificial intelligence and demonstrates how AI solutions are built and delivered using Microsoft Azure AI services.
Do I need programming or data science experience?
No. This course does not require prior programming, machine learning, or data science experience. It is designed for both technical and non-technical learners.
What skills will I gain after completing Azure AI Fundamentals training?
You will gain a clear understanding of AI concepts, Azure AI services, responsible AI practices, and how to evaluate and implement AI solutions in real-world business and technical scenarios.
Is Azure AI Fundamentals suitable for beginners in artificial intelligence?
Yes. This training is specifically designed for beginners and professionals who want to build AI literacy without requiring prior experience in programming, data science, or machine learning.
How does this course address ethical and responsible AI development?
The training covers responsible AI principles such as fairness, accountability, privacy, transparency, and security to ensure learners design trustworthy AI solutions.
How is Azure AI Fundamentals different from advanced AI certifications?
This course focuses on foundational concepts and awareness, whereas advanced certifications involve deep technical implementation, coding, and model development.
Flexible Training Options to Meet Your Needs
Choose how you learn — live online, in-classroom, at your workplace, or internationally. CounselTrain delivers certified IT training across the UAE in the format that fits your team.
Select the method that best suits your needs.
Online Instructor-Led Training
Learn from the comfort of your workplace or at home through live virtual sessions led by expert trainers.
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Classroom Training
Participate in interactive, face-to-face training in our top 5-star training facilities in Dubai.
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Onsite Training
Learn a customised curriculum in your workplace to ensure the most impact and team participation.
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Overseas Training
Participate in our international training sessions and improve your abilities with world-class instructors.
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