Microsoft Azure AI Fundamentals (AI-900) Course in Chennai
825 Ratings
Build a strong foundation in Artificial Intelligence and cloud-based AI solutions with Edubrights' Microsoft Azure AI Fundamentals (AI-900) Course in Chennai. Designed for students, freshers, job seekers, and working professionals, this training program helps you understand core AI concepts, machine learning fundamentals, computer vision, natural language processing, and Microsoft Azure AI services through hands-on learning and practical exercises.
Learn how organizations use Artificial Intelligence to automate processes, improve customer experiences, analyze data, and develop intelligent business solutions. Through real-world use cases, guided labs, and industry-focused projects, you will gain the knowledge and confidence needed to work with modern AI technologies and cloud-based AI applications.
Key Highlights:
✅ Real-Time AI Projects and Industry-Based Case Studies
✅ Hands-On Training in Microsoft Azure AI Services
✅ Artificial Intelligence, Machine Learning, and Generative AI Fundamentals
✅ Computer Vision, Natural Language Processing, and Conversational AI Concepts
✅ Practical Exposure to Azure Cognitive Services and AI Workloads
✅ Microsoft AI-900 Certification Preparation and Exam Guidance
✅ Resume Building, Mock Interviews, and Placement Assistance
✅ Flexible Online, Classroom, and Weekend Training Options
Start your Artificial Intelligence journey with Edubrights and gain the practical skills, certification knowledge, and industry exposure needed to become a job-ready AI professional in today's rapidly evolving technology landscape.
Call Course Advisor
₹16000
₹20000
Case Studies and Projects
2+
Hours of Training
20+
Placement Assurance
100%
Expert Support
Yes
Support & Access
Lifetime
Certification
Yes
Skill Level
All
Language
All
Course Objectives
1. What exactly Microsoft Azure AI Fundamentals (AI-900) training cover?
Azure AI Fundamentals (AI-900) training provides a broad introduction to artificial intelligence (AI) concepts, machine learning principles, and the key Azure services for building AI solutions. It teaches you to identify AI workloads, understand responsible AI practices, and explore core services like computer vision, natural language processing, and generative AI on Azure—all without requiring prior technical or data science experience
2. What are the main objectives of the Microsoft Azure AI Fundamentals (AI-900) course for your development skills?
- Build a solid foundation in AI and machine learning basics using Azure.
- Learn how to implement practical AI solutions with Azure Cognitive Services and tools.
- Understand the ethical, security, and governance aspects of deploying AI in cloud environments
3. Deploy Advanced NLP and Mining Pipelines
Create hybrid (keyword and vector) search indexes and deep language understanding models using Azure AI Language and AI Search.
4. Implement Enterprise AI Safety & Governance
Architect secure multi-tenant AI workloads featuring virtual network isolation, key management, content filters, and PII safeguards.
5. Discover Natural Language Processing Solutions
Explore language-based AI technologies such as text analytics, translation, sentiment analysis, speech recognition, and conversational AI.
6. Prepare for the Microsoft AI-900 Certification Exam
Build a strong foundation in Azure AI concepts and develop the knowledge required to successfully pass the AI-900 certification exam.
Popular Techniques Covered in This Course
1.Basics of cloud and Azure core services
2.AI and machine learning fundamentals
3.AI solution use cases and industry scenarios
4.Natural language processing concepts
5.Generative AI knowledge
6.Responsible AI principles
7.Azure Cognitive Services: Vision, Language, OpenAI
8.AI solution use cases and industry scenarios
9.Security, privacy, and governance in AI
10.Azure portal navigation and basic data handling
Get Hands-on Knowledge about Real-Time Projects
Project 1
1.Sentiment Analysis Application:
Build a simple tool using Azure AI services to analyze sentiment in customer reviews and visualize the results.
Project 2
2.Image Classification Project:
Use Azure’s Cognitive Services to classify images into categories (e.g., animals, vehicles), demonstrating computer vision capabilities
Project 3
3. Multi-Lingual Customer Feedback Sentiment Engine
Construct an active customer support sorting mechanism that reads incoming product reviews in real-time. By connecting Azure AI Language APIs, your backend script will auto-detect original languages, scrub PII data, and flag negative-sentiment accounts for priority routing.
Project 4
4. Smart Warehouse Spatial Awareness Tracker
Design a vision-based safety monitoring system for simulated industrial environments. You will use Azure AI Vision to detect worker apparel compliance, map custom bounding boxes over restricted storage areas, and trigger automated safety alerts for overhead hazards
Project 5
5. Multi-Step Support Agent and CRM Integrator
Program a production-ready autonomous agent capable of resolving client tasks without human intervention. Utilizing Semantic Kernel SDK patterns, your agent will interpret user intent, pull historical context from databases, and execute live API calls into a CRM system.
Key Features
Edubrights offers Microsoft Azure AI Fundamentals (AI-900) Training in virtual mode with expert trainers. Here are the key features,
40 Hours Course Duration
100% Job Oriented Training
Industry Expert Faculties
Free Demo Class Available
Completed 500+ Batches
Certification Guidance
Curriculum
Module 1: Artificial Intelligence Workloads & Considerations
- Identifying common AI workloads: computer vision, NLP, document processing, generative AI.
- Principles of responsible AI: fairness, reliability, privacy, inclusiveness, transparency, accountability.
Module 2: Fundamental Principles of Machine Learning on Azure
- Core ML concepts: regression, classification, clustering, deep learning, Transformers.
- Features and labels in datasets, training/validation splits.
- Azure Machine Learning: automated ML, model management, and deployment.
Module 3: Computer Vision Workloads on Azure
- Image classification, object detection, OCR, facial analysis.
- Azure AI Vision and Face detection services.
Module 4: Natural Language Processing (NLP) Workloads on Azure
- Key phrase extraction, entity recognition, sentiment analysis, language modeling.
- Speech recognition/synthesis and translation.
- Azure AI Language and Speech services.
Module 5: Generative AI Workloads on Azure
- Generative AI concepts and model features.
- Responsible AI for generative models.
- Azure OpenAI Service, AI Foundry, and model catalog.
Receive Training From Our Skilled and Effective Trainers
Experience in the Industry Gain knowledge from experts with practical Microsoft Azure AI Fundamentals (AI-900) project experience in a variety of sectors.
Backgrounds at the Top Prominent corporations such as hcl, tcs , accenture and cognizant employ trainers.
Clear & Effective Teaching Excellent communication and real-world examples simplify complex subjects.
Hands-On Learning Focus Students can apply their abilities in real-world situations with the use of case studies and real-time projects.
Up-to-Date Knowledge Trainers stay current with the latest tools, techniques and best practices.
Microsoft Certified: Azure AI Fundamentals (AI-900)
Our institution’s Microsoft Azure AI Fundamentals (AI-900) certification demonstrates your ability to recognize core AI concepts and apply Azure’s AI services in real-world scenarios. You’ll gain hands-on experience with computer vision, NLP, and generative AI—empowering you to pursue further learning and entry roles in cloud AI. Validate your foundation in intelligent solutions with global industry recognition.
Course FAQs
1. What is Azure AI Fundamentals (AI-900)?
It’s an entry-level certification that validates your understanding of AI and machine learning concepts and how they’re used on Microsoft Azure
2. Who should take AI-900?
Anyone interested in the foundational principles of AI—beginners, business professionals, and IT staff—with no prior technical background required
3. What topics are covered in the exam?
AI workloads, responsible AI, machine learning, computer vision, NLP, and generative AI using Azure services
4. Does the AI-900 require programming experience?
No coding or data science experience is needed, but general cloud or tech awareness is helpful
5. How many questions are in the exam?
40–60 multiple-choice questions, to be completed in about 45–65 minutes
6. How much does the exam cost?
Around $99 USD, depending on your region
7. Does the certification expire?
Microsoft certifications must be renewed periodically (usually every year)
8. What languages is the exam available in?
English, Japanese, Chinese, German, French, Spanish, Portuguese, and more
9. What can I do after getting AI-900 certified?
You can pursue more specialized Azure certifications or roles in AI, data analytics, and cloud solutions
10. What is the main benefit of this certification?
It proves you understand fundamental AI and cloud concepts, making you stand out in entry-level tech and data roles
11. What is the main difference between Azure Cognitive Services and Azure OpenAI?
Azure Cognitive Services provides pre-built, task-specific models for traditional vision, speech, and translation workflows. Azure OpenAI provides access to generalized foundational models (like GPT-4) that handle open-ended text creation, code development, and reasoning tasks.
12. Will I learn how to deploy AI models inside isolated Docker containers?
Yes. Enterprise architectures often require on-premises edge computing or strict network isolations. You will learn how to pull Azure AI Docker container images, configure localized endpoint keys, and run vision or text APIs completely inside containers.
13. Does the curriculum cover the implementation of Responsible AI guidelines?
Absolutely. Responsible AI is heavily evaluated on the exam. You will study how to customize content safety filters, implement blocklists for harmful prompts, track model behavior for fairness, and safeguard private user data
14. What industries use Azure AI solutions?
Healthcare, finance, retail, education, manufacturing, logistics, and government organizations use Azure AI technologies.
15. What career opportunities can AI-900 support?
It helps learners pursue careers in AI, cloud computing, business analysis, digital transformation, and technology consulting.
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