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Microsoft Azure AI Fundamentals [AI-900] Course
Amazon Bedrock Agents - Enterprise AI Agent Development on AWS Course in Dubai, Sharjah and UAE
Course Overview
The Microsoft Azure AI Fundamentals Course is a comprehensive, beginner-friendly training program designed for students, working professionals, business leaders, and technology enthusiasts who want to build a strong foundation in Artificial Intelligence using Microsoft Azure. This AI-900 Microsoft Azure AI Fundamentals Course introduces essential AI concepts, machine learning, computer vision, natural language processing, generative AI, and responsible AI through Microsoft's cloud ecosystem.
Participants gain practical knowledge of Azure AI Services, Azure AI Studio, Azure Machine Learning, and Azure OpenAI while understanding how organizations use AI to automate workflows, improve decision-making, enhance customer experiences, and accelerate digital transformation. The Azure AI Fundamentals Training Course combines instructor-led learning with hands-on demonstrations and certification-focused preparation, making it ideal for learners with little or no prior AI experience.
Whether you are planning a career in AI, supporting business innovation, or preparing for the Microsoft AI-900 certification exam, this Azure AI Course delivers industry-relevant skills aligned with Microsoft's latest AI technologies. Upon completion, learners will confidently understand AI workloads, identify appropriate Azure AI solutions for business scenarios, and be well prepared for the AI 900 Certification while building a pathway toward advanced Microsoft AI and cloud certifications.
Your Learning Journey
Detailed Course Content
- Understanding Artificial Intelligence
- AI in everyday business operations
- Types of AI systems
- Machine Learning, Deep Learning, and Generative AI
- AI adoption trends across industries
- AI opportunities and limitations
- What is Machine Learning?
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Classification Models
- Regression Models
- Clustering Techniques
- Model Training and Evaluation
- Introduction to Azure Machine Learning
- Introduction to Azure AI Services
- Understanding Cognitive Services
- Azure AI Resource Architecture
- AI Service Deployment Models
- Integrating AI into Business Applications
- Azure AI Studio Overview
- Image Recognition Concepts
- Object Detection
- Facial Analysis
- Optical Character Recognition (OCR)
- Document Intelligence
- Image Classification
- Real-world Computer Vision Applications
- Azure AI Vision Services
- Introduction to NLP
- Language Understanding
- Sentiment Analysis
- Entity Recognition
- Key Phrase Extraction
- Text Classification
- Language Translation
- Speech-to-Text and Text-to-Speech
- Conversational AI Applications
- Chatbot Fundamentals
- Virtual Assistants
- Conversational Design Principles
- Azure AI Bot Services
- Customer Support Automation
- Enterprise Knowledge Assistants
- Understanding Generative AI
- Large Language Models (LLMs)
- Foundation Models
- Prompt Engineering Basics
- AI Content Generation
- Generative AI Use Cases
- Azure OpenAI Service Overview
- Enterprise Applications of Generative AI
- Responsible AI Principles
- Fairness and Transparency
- Privacy and Security
- Bias Detection and Mitigation
- Ethical AI Practices
- AI Governance Frameworks
- Regulatory Considerations
- AI in Customer Service
- AI in HR and Recruitment
- AI in Finance and Banking
- AI in Healthcare
- AI in Retail and E-Commerce
- AI-Powered Productivity Solutions
- AI Automation Opportunities
- Selecting the Right Azure AI Service
- AI-900 Exam Structure
- Exam Domains and Objectives
- Sample Questions
- Practice Tests
- Exam Tips and Strategies
- Certification Roadmap
Mandatory Tools Used
- Microsoft Azure Platform
- Microsoft Azure
- Azure AI Studio
- Azure AI Foundry
- Azure AI Services
- Vision AI
- Language AI
- Speech AI
- Document Intelligence
- Azure Machine Learning
- Azure OpenAI Service
- Microsoft Learn Platform
- Microsoft Learn
Optional Alternative Tools
- ChatGPT
- Claude AI
- Google Gemini
- OpenAI Platform
- Google Vertex AI
- Amazon Bedrock
- Microsoft Copilot Studio
- Botpress
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Why Study This Course?
- •Learn the latest Microsoft Azure AI technologies from industry experts.
- •Build practical AI knowledge through real-world business use cases.
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- Master cloud-based AI services without requiring programming experience.
- •Prepare confidently for the Microsoft AI-900 certification examination.
- •Understand Generative AI, Copilot, and Azure OpenAI fundamentals.
- •
- Gain globally recognized AI skills applicable across multiple industries.
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Who Can Enroll in This Course?
- •Students and fresh graduates starting a career in AI and cloud computing.
- •IT professionals and software developers expanding AI expertise.
- •
- Business professionals driving AI-powered digital transformation.
- •Managers and decision-makers evaluating AI adoption strategies.
- •Data analysts, business analysts, and technology consultants.
- •Anyone preparing for Microsoft AI-900 certification.
Why Choose Zabeel Institute?
- •Certified Instructors: Experienced Microsoft-certified trainers with industry expertise.
- •Flexible Scheduling: Choose weekday, weekend, or online AI classes that suit your availability.
- •Industry-Relevant Curriculum: Industry-focused training aligned with real enterprise AI needs
- •Official Certifications: Zabeel Certificate will be provided after course completion. KHDA Attendance Attested Certificates are available for courses.
- •Hands-On Training: Practical instructor-led sessions with hands-on Azure demonstrations.
- Zabeel Institute has been a leading professional training provider in the UAE since 1988, trusted by corporate and individual learners across Dubai, Sharjah, and Online.
Learning Outcomes
After completing this Amazon Bedrock Agents Course, participants will be able to:
- •Understand core Artificial Intelligence concepts and Azure AI workloads.
- •Use Azure AI Services for vision, language, speech, and document intelligence.
- •Explain machine learning fundamentals and Azure Machine Learning capabilities.
- •Apply responsible AI principles, governance, privacy, and ethical AI practices.
- •Evaluate business use cases and recommend suitable Azure AI solutions.
- •Prepare confidently for the Microsoft AI-900 certification exam.
Career Outcomes
Certification & Pass Rate
Learners receive a Zabeel Institute Course Completion Certificate upon successful completion of the training and are fully prepared to attempt the globally recognized Microsoft certification.
With structured preparation, practical labs, and continuous trainer support, our learners consistently achieve a high career success rate.
Hands-On Activities
- Creating Azure AI Resources
- Exploring Azure AI Studio
- Using Azure Vision Services
- Performing OCR and Document Analysis
- Running Sentiment Analysis Models
- Experimenting with Generative AI Prompts
- AI-900 Practice Labs
- Working with Azure OpenAI Services
Corporate Training Courses
➔ Training Mode: Classroom, On-site or Online.
Related Courses
AI Prompt Engineering Course | AWS Machine Learning Engineer Course | AWS Certified AI Practitioner Course | AWS Certified Cloud Practitioner | AWS Cloud Certification | AWS Certified Developer Course | Copilot AI Mastery Course | Microsoft Power Automate Course | Perplexity AI Mastery Course | Google Gemini AI Training Course | ChatGPT Training Course | Claude AI Training Course | Agentic AI & Automation Course | AI Training Course | More AI Courses | Other IT Courses
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