Course Program Overview
AI-901 Microsoft Azure AI Fundamentals
- Duration: 3 Months
- Format: Live Online / Classroom / Blended / Corporate
- Sessions: 5 per week
- Session Length: 01 Hour of each session
- Tech Stack: Azure OpenAI Service, Microsoft Copilot, Azure AI Search, Azure AI Vision, Azure AI Language, Azure AI Speech, Content Safety, Prompt Flow, Responsible AI Dashboard.
- Outcome: Industry-grade portfolio + Microsoft Certification + Career acceleration
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Our placement Record
đź“Ś Key Exam Information
Certification Name
Microsoft Certified: Azure AI Fundamentals (2026 Edition)
Exam Code
AI-901
Level
Beginner (entry-level, no prior technical experience required)
Audience
Business stakeholders, students, or professionals starting their journey with Generative AI, Microsoft Copilot, and Azure AI services.
Exam Format
Multiple-choice, drag-and-drop, and scenario-based performance tasks.
Number of Questions
Approximately 40–55
Duration
60 minutes (plus 30 minutes for setup and surveys)
Passing Score
700 out of 1000
Delivery
Online proctored or at authorized test centers
Languages Available
English, Japanese, Korean, Simplified Chinese, Spanish, German, French, Portuguese
🎯 Who Should Take AI-901
- Aspiring AI Specialists & Students Perfect for university students and early-career professionals looking to gain a competitive edge by mastering the 2026 standards of Generative AI and Azure's ecosystem.
- Business Leaders & Strategy Architects Designed for managers and decision-makers who need to understand the strategic impact of Microsoft Copilot and Azure OpenAI on business productivity and ROI.
- IT Professionals Shifting to AI Technicians and developers who want to transition from traditional cloud infrastructure to building and managing autonomous AI agents and language models.
🧠Exam Domains & Weightage
25–30%
Describe Artificial Intelligence workloads and considerations
Gain a solid understanding of fundamental AI concepts, including common workload types and the core principles of Responsible AI that govern ethical deployments.
25–30%
Describe fundamental principles of Generative AI on Azure
Explore the architecture of Large Language Models (LLMs), the specific capabilities of the Azure OpenAI Service, and how Generative AI solves modern business challenges.
15–20%
Describe features of computer vision and natural language processing
Master the tools for analyzing visual data and text, including image classification, object detection, sentiment analysis, and entity recognition within Azure.
20–25%
Describe features of Azure AI Agents and Copilots
Dive into the 2026 industry standard: understanding the role of autonomous agents, Microsoft Copilot functionality, and the integration of Azure AI Search.
🏆 Benefits of AI-901 Certification
- Global Industry Credibility: Microsoft certifications are recognized by top-tier global enterprises, instantly validating your expertise in the 2026 AI landscape.
- Foundational Mastery of GenAI: Provides a structured and deep understanding of Large Language Models and Azure OpenAI, preparing you for high-stakes enterprise projects.
- Accelerated Career Path: Acts as the essential prerequisite for advanced roles such as AI-103 (Agent Developer) and AI-300 (MLOps Engineer).
- Enhanced Market Visibility: Earn a digital badge that showcases your proficiency in Generative AI and Microsoft Copilot to recruiters and hiring managers worldwide.
🌟 Top 5 Reasons to Choose Adian Soft Solutions for this course
Specialized 2026 Curriculum Alignment
Our 3-month roadmap is built specifically for the new AI-901 blueprint. We move beyond basic AI to cover the 2026 industry shift toward Autonomous Agents and Microsoft Copilot, ensuring you are trained on the most current technology available.
Expert-Led Certification & Retake Support
We are dedicated to your credentialing success. If you do not clear the AI-901 exam on your first attempt, we provide continued access to updated labs and dedicated 1-on-1 retake sessions. Our team assists with exam scheduling and identifying Microsoft voucher opportunities.
Hands-on Generative AI Labs
Step into the role of an AI developer by working directly with the Azure OpenAI Service. You will gain practical experience in prompt engineering, deploying Large Language Models (LLMs), and configuring Azure AI Search to create intelligent, data-driven applications.
AI Portfolio & Capstone Development
Theoretical knowledge is backed by a major Capstone Project. You will design and deploy a functional "Smart Agent" that utilizes Azure’s NLP and Vision capabilities. This project serves as a professional portfolio piece to showcase your technical readiness to global employers.
Direct Placement & Career Pathways
Adian Solutions bridges the gap between certification and employment. With our network of 1,000+ global recruiters, we provide structured career guidance and interview preparation specifically for emerging roles in the Generative AI and Agentic sectors.
Skills You Will Get
Through this course, you will build a sophisticated foundation in modern Artificial Intelligence and Azure cloud services. You will master the deployment of generative models, the configuration of autonomous agents, and the ethical implementation of Responsible AI. By completing our guided technical labs and a comprehensive capstone project, you will develop a "Safety-First" AI portfolio that demonstrates your ability to solve enterprise challenges. Finally, you will elevate your professional profile with 2026-ready skills, opening direct pathways to advanced specialist certifications and high-paying global roles.
Fundamentals of Generative AI
Fundamentals of Generative AI
Autonomous AI Agents
Autonomous AI Agents
Computer Vision Mastery
Computer Vision Mastery
Natural Language Processing (NLP)
Natural Language Processing (NLP)
Prompt Engineering & Optimization
Prompt Engineering & Optimization
Responsible AI & Content Safety
Responsible AI & Content Safety
Azure AI Search Integration
Azure AI Search Integration
End-to-End AI Capstone
End-to-End AI Capstone
Course Program
(3 Months)
Classroom/Live online 03 months
(80+ Hours)
This three-month AI-901 program is designed to transform learners into AI-literate professionals by mastering the 2026 standards of the Microsoft Azure AI ecosystem. The journey begins with a deep dive into the fundamentals of Artificial Intelligence and the core principles of Responsible AI, ensuring a "Safety-First" mindset. In the second month, the focus shifts to the technical implementation of Computer Vision and Natural Language Processing (NLP), where students gain hands-on experience with Azure’s cognitive services to analyze visual and textual data. The final month is dedicated to the cutting-edge fields of Generative AI and Autonomous Agents, featuring intensive labs on the Azure OpenAI Service and Microsoft Copilot. The program culminates in a comprehensive capstone project where students design, build, and deploy an end-to-end intelligent solution, ensuring they are fully prepared for the AI-901 certification exam and high-stakes global career opportunities.
â—Ź Month 1
Exam Coverage: 25–30%
AI Workloads & Responsible AI Foundations
In the first month, learners establish a robust foundation by exploring the essential workloads of Artificial Intelligence. We define the key differences between traditional machine learning and modern deep learning architectures. A significant focus is placed on the six pillars of Microsoft’s Responsible AI framework: Fairness, Reliability & Safety, Privacy & Security, Inclusiveness, Transparency, and Accountability. Students learn to identify ethical risks in AI deployments and understand the governance required for enterprise-scale systems. By the end of this month, participants will be able to articulate the business value of AI while maintaining a focus on ethical compliance.
Practical Labs:
Learners will navigate the Azure AI Studio, configure a basic AI environment, and use the Responsible AI Dashboard to evaluate model fairness and interpretability.
Case Studies:
Analyzing how a global financial institution implements ethical guardrails in its automated loan approval system to prevent demographic bias.
Exam Weightage Covered:
This month covers Artificial Intelligence Workloads and Considerations (25–30%), providing the ethical and conceptual baseline for the entire certification.
â—Ź Month 2
Exam Coverage: 15–20%
Vision, Speech & Language Services
The second month focuses on the "Senses" of AI. Learners explore Azure AI Vision to master image classification, object detection, and optical character recognition (OCR). The curriculum then transitions to Natural Language Processing (NLP), where students learn to use Azure AI Language for sentiment analysis, key phrase extraction, and entity recognition. We also cover Azure AI Speech, focusing on real-time speech-to-text and text-to-speech capabilities. This month emphasizes the practical integration of these services into existing business applications to improve accessibility and user experience.
Practical Labs:
Students will build a custom vision model to identify specific objects in images and develop a sentiment analysis tool that processes real-world customer feedback logs.
Case Studies:
Exploring how a retail brand uses Computer Vision for automated inventory management and NLP for multi-lingual customer support bots.
Exam Weightage Covered:
This month covers Features of Computer Vision and Natural Language Processing (15–20%), focusing on the practical application of Azure’s pre-built AI models.
â—Ź Month 3
Exam Coverage: 50–55% + Consolidation of 100%
Generative AI, Agents & Capstone Project
In the final month, learners enter the world of Generative AI and Autonomous Agents. We cover the architecture of Large Language Models (LLMs) and the specific features of the Azure OpenAI Service. Students master the art of Prompt Engineering and learn how to deploy and refine Microsoft Copilots. The focus then turns to "Agentic AI"—building autonomous systems that can execute complex workflows using Azure AI Search. The program concludes with a Capstone Project, where students integrate Vision, Language, and Generative AI into a single, portfolio-ready solution that demonstrates their mastery of the AI-901 objectives.
Practical Labs:
Learners will deploy a GPT model via Azure OpenAI, build a Retrieval-Augmented Generation (RAG) pipeline with Azure AI Search, and configure a custom Microsoft Copilot for a specific business domain.
Case Studies:
Examining how a legal-tech firm uses Generative AI agents to summarize thousands of legal documents and identify regulatory risks in real-time.
Capstone Project:
Students will design an end-to-end "Smart Enterprise Assistant" that processes voice/text input, queries a secure internal database, and generates human-like, data-driven responses.
Certification Weightage Covered:
This month covers Fundamental Principles of Generative AI (25–30%) and Features of Azure AI Agents and Copilots (20–25%), completing the 100% exam blueprint.
Real Roles. Real Results.
Explore Your Post-Course Career
After completing the course, learners can unlock high-impact roles such as Machine Learning Engineer, Cloud Solutions Architect, Data Scientist, and AI Product Lead—across sectors like technology, BFSI, healthcare, retail, and manufacturing.
Machine Learning Engineer
Designs, trains, and optimizes ML models for prediction, classification, and automation across industries like finance, healthcare, and manufacturing.
Data Scientist
Extracts insights from structured and unstructured data using statistical analysis, visualization, and modeling techniques. Drives decision-making and business intelligence.
AI Solutions Architect
Leads the design and deployment of scalable AI systems using cloud platforms, MLOps pipelines, and enterprise-grade frameworks
Deep Learning Researcher
Specializes in neural networks, CNNs, RNNs, GANs, and transformers. Builds models for image recognition, NLP, and generative tasks.
MLOps Engineer
Implements CI/CD pipelines, containerization, and cloud-native deployment for AI models. Ensures reliability, scalability, and performance monitoring.
Generative AI Developer
Builds intelligent applications using LangChain, Hugging Face, and LLMs. Applies RAG pipelines and transformer models to domains like legal tech and marketing.
Computer Vision Engineer
Develops image and video analysis systems using OpenCV, TensorFlow, and deep learning. Works on facial recognition, object detection, and OCR.
NLP Engineer
Creates language models and conversational AI systems using NLTK, SpaCy, and transformers. Powers chatbots, sentiment analysis, and document summarization.
AI Product Lead
Bridges technical teams and business strategy. Oversees AI product lifecycle—from ideation to deployment—ensuring alignment with market needs and ethical standards.
Frequently Asked Questions
AI-901 Microsoft Azure AI Fundamentals
The AI-901 certification is the updated 2026 standard for Microsoft Azure AI. It covers the fundamentals of Artificial Intelligence, specifically focusing on Generative AI, Large Language Models (LLMs), and the development of autonomous AI agents.
This course is designed for anyone—from students to business leaders—who wants to understand how AI works on the Azure platform. No prior coding experience is required, making it accessible for both technical and non-technical backgrounds.
No. This is a foundational course. While basic computer literacy is helpful, we teach you everything from the ground up, including the basics of the Azure portal and AI terminology.No. This is a foundational course. While basic computer literacy is helpful, we teach you everything from the ground up, including the basics of the Azure portal and AI terminology.
You will learn to deploy models in Azure OpenAI, build basic AI agents, use Computer Vision for image analysis, and implement Natural Language Processing (NLP) for sentiment analysis and text summarization.
The course is a 3-month intensive program consisting of live sessions, hands-on labs, and a final capstone project. We cover one major domain of the exam each month to ensure deep understanding.
The Adian Solutions curriculum covers 100% of the Microsoft AI-901 exam objectives. Our syllabus is mapped directly to the official weightage provided by Microsoft.
The capstone project involves building a "Smart Enterprise Assistant." You will integrate multiple Azure AI services into a single functional application that you can showcase in your professional portfolio.
Yes. We provide structured career guidance, including resume optimization for AI roles, interview preparation, and access to our network of 1,000+ global recruiters.
The exam consists of 40–55 questions, including multiple-choice, drag-and-drop, and scenario-based tasks. You have 60 minutes to complete the exam.
Microsoft fundamental certifications like AI-901 do not expire. However, staying updated with the latest AI trends is recommended through our advanced specialist courses.
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Partnering with Adian Soft Solutions transformed our AI adoption journey. Their training programs gave our team the confidence to deploy advanced ML models in production. The hands-on labs and real-world case studies were game changers.
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