Description
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Course Overview
The Microsoft Azure AI Fundamentals (AI-900) course provides a beginner-friendly introduction to Artificial Intelligence concepts and Azure AI services. It is designed for learners who want to understand how AI technologies work and how they are implemented on the Azure cloud platform.
This course explores core AI concepts such as machine learning, computer vision, natural language processing, and generative AI, along with the Azure tools used to build intelligent applications. The program focuses on understanding AI workloads and identifying the appropriate Azure services to support real-world business solutions.
Participants will also learn about responsible AI principles, including fairness, transparency, security, and privacy, ensuring that AI systems are designed and used ethically. By the end of the course, learners will be prepared to take the AI-900 certification exam and demonstrate foundational AI knowledge on Azure.
Who Should Take This Course
This course is ideal for:
- Beginners interested in Artificial Intelligence
- Business professionals evaluating AI solutions
- Cloud professionals expanding into AI technologies
- Students exploring careers in AI and cloud computing
- Product managers and consultants working with AI projects
No programming or data science background is required.
What You Will Learn
By completing this course, learners will be able to:
- Understand fundamental Artificial Intelligence concepts
- Explain different AI workloads and use cases
- Identify Azure AI services used to build AI applications
- Understanding machine learning basics
- Explore computer vision and natural language processing
- Learning the fundamentals of Generative AI
- Apply responsible AI principles
- Prepare for the AI-900 certification exam
Career Benefits
After completing this course, learners can pursue roles such as:
- AI Product Manager
- Cloud Consultant
- AI Business Analyst
- AI Solutions Specialist
- Azure Cloud Professional
This certification is also a steppingstone to advanced Azure AI certifications, including Microsoft Azure AI Engineer Associate (AI‑102).
The following topics will be covered as part of Azure AI Fundamentals certification Course .
Module 1 - AI Workloads and Considerations
AI workloads
- Computer vision
- Natural language processing
- Conversational AI
- Document processing
- Generative AI
Responsible AI principles
- Fairness
- Reliability and safety
- Privacy and security
- Inclusiveness
- Transparency
- Accountability
Module 2 - Machine Learning Fundamentals
ML concepts
- Regression
- Classification
- Clustering
- Deep learning
- Neural networks
ML process
- Features and labels
- Training vs validation datasets
- Model evaluation
Azure tools
- Azure Machine Learning
- Automated ML
- ML pipelines
Module 3 - Computer Vision Workloads
Computer vision enables machines to understand images and videos.
Topics
- Image classification
- Object detection
- Optical Character Recognition (OCR)
- Face detection
- Video analysis
Azure services
- Azure AI Vision
- Azure Face API
- Form Recognizer
- Video Analyzer
Module 4 - Natural Language Processing (NLP) Workloads
NLP enables machines to understand human language.
Topics
- Text analysis
- Sentiment analysis
- Language translation
- Entity recognition
- Speech recognition
Azure services
- Azure AI Language
- Azure AI Speech
- Translator service
- Azure Bot Service
Module 5 - Generative AI Workloads
This is the newest and fastest-growing section.
Topics
- Generative AI concepts
- Large Language Models (LLMs)
- Prompt engineering
- Generative AI use cases
Azure services
- Azure OpenAI Service
- Azure AI Foundry
- Foundation models catalog
Azure AI Services You Should Know
Common services referenced in the exam:
- Azure Machine Learning
- Azure AI Vision
- Azure AI Speech
- Azure AI Language
- Azure Bot Service
- Azure OpenAI
These tools allow developers and businesses to build AI solutions such as chatbots, translation systems, and image recognition apps.
This certification is helpful for:
- AI Product Manager
- Cloud Consultant
- Business Analyst
- AI Consultant
- Solution Architect (entry level)
AI Market Projections:
*19M+ AI jobs projected globally by 2030 (World Economic Forum).
*$632B – Estimated global AI spend by 2028 (IDC Research).
*86% Enterprises ranking AI and big data as top-priority skills(Dremio).
*The AI infrastructure market (servers, data centers, software) is expanding quickly — projected to grow from ~$32 billion in 2025 toward ~$350 billion by 2035, with roughly ~27% annual growth.
Duration & Timings :
Total Hours – 30 Hours.
Training Type: Online Live Interactive Session.
Faculty: Experienced.
Access to Class Recordings.
Schedule:
Weekday Session – Mon – Thu 8:30 PM to 10:30 PM (EST) – 5 Weeks. May 18, 2026.
Weekend Session – Sat & Sun 9:30 AM to 12:30 PM (EST) – 7 Weeks. Saturday, June 6, 2026.
Artificial Intelligence Courses:
Artificial Intelligence Master Course
Agentic AI Master Course
Generative AI Master Course
AI Product Manager Master Course
Prompt Engineering for AI Applications
Automation Platforms Master Course
AWS Certified AI Practitioner Course
Azure AI Engineer Associate Certification Training
Azure AI Fundamentals certification Course
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