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Free Azure AI-900 Certification Course: Master Azure AI Fundamentals

12 Videos

Self-paced Course

7 Notes

Quick Notes

15 Labs

Hands-on Labs

Price: 100% Free
⭐4.8/5

6 Tests

Skill Tests

Azure AI Fundamentals Course Overview

Azure AI Fundamentals Certification Training (AI-900) is an entry-level program designed to help individuals understand the foundational concepts of artificial intelligence and how Microsoft Azure powers AI solutions. This training covers key principles, practical use cases, and Azure AI services, preparing participants for the AI-900: Microsoft Azure AI Fundamentals certification exam.

Azure AI Fundamentals Course Objectives

Participants in this Azure AI Fundamentals course will gain the following skills after completing the course:

  1. AI Fundamentals: Learn core concepts in machine learning, computer vision, natural language processing, and AI workloads.
  2. Azure AI Services Overview: Understand the capabilities of Azure Cognitive Services, Azure Machine Learning, and Azure OpenAI.
  3. Responsible AI: Explore ethical considerations, fairness, transparency, and accountability in AI solutions.
  4. Hands-on Labs: Gain practical experience using AI services through guided labs and real-world examples.
  5. Exam Readiness: Get targeted prep materials and mock exams to help clear the AI-900 certification.
  6. Use Case Exploration: Analyze how AI is transforming industries like healthcare, retail, and finance using Azure.
  7. Career Foundation: Build a strong base for careers in AI, data science, or Azure cloud development.

Why Become an Azure AI Engineer in 2025?

    1.) High Demand: The need for Azure AI Engineers is rapidly increasing as businesses adopt AI technologies. Companies are seeking skilled professionals to lead digital transformation through AI solutions.

    2.) Attractive Compensation: Azure AI Engineers enjoy competitive salaries:

    • US: $100,000 - $150,000 per year.
    • India: 15,00,000 - 30,00,000 annually.

    3.) Career Growth Opportunities: With Azure AI Engineer Certification, you open the door to various career paths like Machine Learning Engineer, Data Scientist, and AI Solutions Architect in leading companies such as Microsoft, Google, and Amazon.

    4.) Work on Cutting-Edge Technologies: As AI and machine learning evolve, Azure AI Engineers work with the latest tools and technologies to innovate in industries like healthcare, finance, and e-commerce.

    5.) Future-Proof Your Career: AI and machine learning are among the fastest-growing fields, providing long-term job stability and career growth. Becoming an Azure AI Engineer in 2025 ensures you are at the forefront of this technological revolution.

    Why Learn Azure AI?

    Azure AI Engineer Career Scope

    1. Strong Foundation for AI Careers: The AI-900 certification is ideal for those starting their AI journey. It provides a clear understanding of key AI concepts and Microsoft Azure services, making it the perfect stepping stone into roles in AI, data analysis, and cloud computing. Whether you're a student, developer, or IT professional, this course builds the knowledge base required to explore specialized AI roles.

    2. Beginner-Friendly Entry Point: No coding or data science background is required. AI-900 is tailored for beginners looking to gain confidence in working with AI-powered services on Azure, such as Azure Cognitive Services, Azure Machine Learning, and Azure OpenAI Service.

    3. Certification Value: The Microsoft Certified: Azure AI Fundamentals certification is globally recognized and helps you stand out in the job market. It demonstrates your understanding of modern AI solutions and responsible AI principles, boosting your credibility for internships, junior roles, or advanced certifications.

    4. Career Opportunities: After AI-900, professionals can pursue diverse roles and paths such as:

    1. AI Developer (Junior) – Build basic AI features into apps using Azure services.
    2. Cloud Support Associate – Assist clients with Azure AI and cognitive workloads.
    3. AI Business Analyst – Analyze AI-powered insights to support decision-making.
    4. Data Analyst Trainee – Use AI to enrich reporting, dashboards, and predictions.
    5. Next Step Certification – Prepare for AI-102, DP-100, or AZ-900 for broader Azure expertise.

    5. Future-Proof Skills: The AI market is projected to reach $407 billion by 2027 (MarketsandMarkets, 2024), and Azure’s expanding role ensures high demand for professionals with foundational AI knowledge. AI-900 lays the groundwork to confidently grow into advanced AI roles and adapt to the evolving tech landscape.


    Tools and Technologies Covered

    Python
    Azure Services
    Azure AI
    Azure Search
    Azure Vision
    Open AI
    Copilot
    Azure Bot
    GitHub Copilot
    NLP
    VS Code
    GitHub

    Azure AI Fundamentals Course Key Features

    • 6 Weeks of Intensive Live Training
    • Learn from Microsoft MVPs
    • Build real-world Projects
    • Career Coaching
    • Resume & Portfolio Building
    • Job Assistance

    Included in this Course

    •   Video Course 12 Videos
    •   Quick Notes 7 Notes
    •   Labs 15 labs
    •   Skill Tests 6 Tests
    •   Q&A 12 Guides

    Introduction to AI

    Introduction to AI, ML and DL
    Preview 04m 43s
    Responsible AI
    Preview 06m 53s

    Machine Learning

    Machine Learning vs Deep Learning
    08m 44s

    Gen AI and LLMs

    Gen AI and LLMs
    02m 51s
    AI vs ML vs DL vs GenAI vs LLMs
    03m 26s

    Natural Language Processing and Speech

    Azure AI Language Services
    07m 30s
    Lab: Azure AI Language
    08m 51s

    Azure AI Services

    Azure AI Services
    07m 53s
    Lab: Creating Azure AI Services
    05m 28s
    Lab: Working With Azure AI Services
    12m 56s

    Computer Vision

    Azure Computer Vision
    05m 58s
    Lab: Image Analysis
    17m 15s
    Quick Notes Notes (7)

    Introduction to AI

    0:10:30

    Introduction to Machine Learning

    0:11:00

    Azure ML Studio & Automated ML

    0:17:00

    Introduction to Generative AI concepts

    0:13:00

    Building Generative AI Solutions with Azure AI Foundry

    0:06:00

    Introduction to Natural language processing (NLP)

    0:13:00

    Build NLP Solutions Using Azure AI Language and Translator

    0:07:00

    Hands-On Labs Labs(15)

    Azure AI: Exploring Face Detection

    00:45:00

    Azure AI: Extract Data from Forms

    01:00:00

    Azure AI: Translate Speech using Azure AI Speech Service

    01:00:00

    Azure AI: Recognize and Synthesize Speech

    00:45:00

    Azure AI: Multilingual Speech Translation

    00:45:00

    Azure AI: Deploy AI Search using Bicep

    00:30:00

    Azure AI: Translate Text with Azure AI Translator

    00:45:00

    Azure AI: Building Azure AI Health Bot using Azure CLI

    00:30:00

    Azure AI: Deploy AI Search using an ARM Template

    00:30:00

    Azure AI: Read Text in Images

    01:00:00

    Azure AI: Image Analysis with Azure AI Content Safety

    00:45:00

    Azure AI: Exploring Form Recognition

    00:30:00

    Azure AI: Use an Azure AI Services Container

    00:45:00

    Azure AI: Explore Computer Vision

    00:30:00

    Azure AI: Exploring Optical Character Recognition

    00:45:00

    Skill Tests Tests (6)

    AI and Machine Learning Fundamentals

    15 Questions

    Machine Learning with Azure

    15 Questions

    Generative AI Concepts and Azure Integration

    15 Questions

    Natural Language Processing and Speech in Azure

    15 Questions

    Computer Vision and Azure AI Services

    15 Questions

    AI-Powered Information Extraction with Azure

    15 Questions

    Q&A Guides
    Introduction to AI Concepts 0:25:00
    Introduction to Machine Learning Concepts 0:20:00
    Design & Train ML Models with Azure ML 0:20:00
    Introduction to Generative AI Concepts 0:18:00
    Building Generative AI Solutions with Azure AI Foundry 0:19:00
    Introduction to Natural Language Processing Concepts 0:19:00
    Azure AI for Text and Language Intelligence 0:16:00
    Get started with speech in Azure 0:17:00
    Introduction to Computer Vision 0:18:00
    Image Processing and Machine Learning in Computer Vision 0:19:00
    Introduction to AI-Powered Information Extraction 0:20:00
    Intelligent Data Processing and Extraction with Azure AI 0:20:00

    This course includes
    100 % OFF
    ₹ 5,033 Free

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    This course includes
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