Azure AI Fundamentals Elite: AI-900 Mastery & Generative AI Integration
Get a strong start to your journey into AI through Microsoft Azure. In this revised course for 2026, you will learn everything you need to know about Machine Learning, Computer Vision, and Natural Language Processing using Azure. The emphasis will be on Generative AI and Responsible AI, in preparation for the AI-900 certification.
4.9
By Namifly
Last updated: April 2026
$1200
One-time payment
30-day money-back guarantee
This course includes:
Introduction to AI on Azure
The Ethical AI Framework
Azure Machine Learning (No-Code)
Computer Vision Scenarios
Language & Speech Services
Conversational AI & Bots
Generative AI & Azure OpenAI (New)
Exam Simulation & Mock Test
Choose Your Plan
Training
$399.00
Training + Examination
$799.00
Complete Assured Package
$1200.00
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Course Description
Welcome to the AI-First Cloud
As we reach 2026, the Microsoft Azure AI Fundamentals Training has morphed from a simple certification course into a fundamental requirement. Microsoft Azure is quickly becoming the center stage for all things enterprise AI, with services like the Azure OpenAI Service and the exciting Azure AI Foundry already making huge waves. This course is intended to demystify all of the concepts behind AI, to paint a clear picture of how it all is developed, administered and provisioned in a secure cloud enviornment.
AI-900 becomes the highest trending cloud cert of 2026 for a reason:
This isn't a certification for engineers alone; it's a certificate for everyone, from marketers and project managers all the way to business owners. Understanding "AI Literacy" is not a requirement, but a foundational building block in 2026. The AI-900 certification clearly shows an understanding of how these Artificial Intelligence technologies work, their capabilities on Azure such as through Azure AI Search and the Language Service for solving real-life problems, and above all, the principles of Responsible AI.
The Five Core Learning Domains
Our 2026 curriculum is meticulously aligned with the updated Microsoft exam objectives:
AI Workloads and Considerations (15-20%): Learn to identify common AI scenarios like anomaly detection, prediction, and knowledge mining. You will master Microsoft’s six principles of Responsible AI: Fairness, Reliability, Privacy, Inclusiveness, Transparency, and Accountability.
Fundamental Machine Learning (15-20%): Understand the "magic" behind the models. We explain regression, classification, and clustering in plain English. You’ll explore Automated ML (AutoML), which allows you to build models in Azure without writing a single line of code.
Computer Vision on Azure (15-20%): Discover how Azure "sees" the world. You will learn about image classification, object detection, and Optical Character Recognition (OCR), which powers everything from automated checkout to document processing.
Natural Language Processing (NLP) (15-20%): Explore the tools that allow Azure to understand human speech and text. From Sentiment Analysis (is a review positive or negative?) to Conversational AI (building intelligent chatbots), this domain is the foundation of modern customer service.
Generative AI on Azure (20-25%):(The 2026 Focus). This is the highest-weighted section. You will learn about Large Language Models (LLMs), prompt engineering basics, and how to use the Azure OpenAI Service to generate text, code, and images safely within an enterprise sandbox.
Gain Career Momentum Namifly considers the AI-900 as just the first step. After completing it, you are then well-placed to move on to taking the AI-102 (Azure AI Engineer) and/or DP-100 (Azure Data Scientist) exams.
In an environment where 75% of all new cloud features are AI based, this is an essential sign to recruiters that you are ready for the 2026 workplace. You will not simply learn to pass an exam but lead the dialogue of adopting AI within your company.
Course Curriculum
Expand the sections below to see the detailed curriculum for this course.
AI Workloads: Prediction, Anomaly Detection, and Knowledge Mining.
The Shared Responsibility Model in Cloud AI.
Deep dive into Microsoft’s 6 Principles of Responsible AI.
Identifying bias in datasets and models.
Using Azure ML Studio and the Visual Designer.
Automated ML: From raw data to a deployed model.
Detecting faces and objects in images.
Using Azure AI Vision for automated indexing.
Text Analytics: Summarization and Translation.
Building multi-lingual Speech-to-Text applications.
Creating "QnA Maker" style knowledge bases.
Integrating chatbots into Microsoft Teams and Web apps.
Understanding GPT and DALL-E models on Azure.
Introduction to Prompt Engineering and Copilot.
2026-style multiple choice and scenario-based questions.
Instructor information not available.
4.9
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Frequently Asked Questions
Find answers to common questions about this course.
No. This is a fundamentals course. While we show how APIs work, the exam focuses on your ability to choose the right service for a business problem rather than writing the code yourself.
The passing score is 700 out of 1000. The exam typically contains 40–60 questions and takes about 60 minutes.
Yes! As of 2026, Generative AI is the largest single domain of the AI-900 exam, specifically focusing on how the Azure OpenAI Service implements LLMs responsibly.
Most students with a basic understanding of cloud concepts complete their preparation in 2 to 3 weeks of part-time study.
