Free AI-900 Course | Azure AI Fundamentals Certification

Free Azure AI Fundamentals Course Overview

Scholarhat’s Free Azure AI-900 Certification course is designed for beginners with no prior experience in AI or cloud computing. Spanning 5 self-paced modules, it covers AI basics, machine learning on Azure, and practical tools through engaging videos, hands-on labs, and interactive quizzes.

Perfect for those searching for “AI-900 course free” or “Azure AI-900 tutorial.”

Key Skills You'll Master in This Free Azure AI-900 Certification Course

At the completion of this course, attendees will be able to:

AI Workloads and Considerations: Understand anomaly detection, computer vision, NLP, conversational AI, and fundamental AI principles on Azure.

Machine Learning Fundamentals: Dive into supervised and unsupervised learning, datasets, and model training using Azure ML services.

Azure ML Studio Essentials: Leverage no-code tools like AutoML and Azure Machine Learning Designer to build and deploy AI models efficiently.

Computer Vision on Azure: Explore image analysis, optical character recognition (OCR), Custom Vision, and Face API for real-time vision tasks.

Natural Language Processing (NLP) Features: Master text analytics, language translation, sentiment analysis, and entity recognition with Azure Cognitive Services.

Generative AI Tools: Create intelligent bots, knowledge bases, and conversational agents using QnA Maker and Azure Bot Service.

Responsible and Ethical AI: Adhere to Microsoft’s guidelines for fair, reliable, and transparent AI development to ensure safe implementations.

Outcomes of the Azure AI-900 Free Course

1. Build a strong foundation in AI concepts and Azure services.
2. Gain practical exposure with hands-on labs and real-world AI scenarios.
3. Prepare effectively for the Microsoft AI-900 Certification exam.
4. Develop confidence in using Azure Cognitive Services and ML Studio.
5. Enhance your career prospects in AI, Cloud, and Data roles.
6. Showcase certified Azure AI skills to potential employers.

Why Pursue Azure AI Fundamentals in 2025?

As more businesses start using AI in 2025, knowing the basics of Azure AI can help you in your career. Here’s why it matters:

AI Use is Growing Fast

Gartner estimates that by the end of 2025, 80% of companies will be using AI in their work.
This growth is creating a big need for people who understand the basics of AI.

Azure’s Wide Use by Big Companies

Microsoft Azure is the backbone of 60% of the Fortune 500 companies.
By learning Azure AI basics, you are gaining skills on one of the most commonly used cloud services.

More Job Options Are Available

LinkedIn shows that there has been a 35% rise in job openings related to AI from 2024 to 2025.
Getting an AI-900 certification allows you to qualify for starting positions in AI and cloud jobs.

Promising Salary Potential

The average starting salary for AI positions in the US is about $75,000 according to Glassdoor.
People with skills in this area can quickly move up to better-paying jobs in AI and data.

Closing the Talent Gap

A study by Deloitte reveals that 75% of companies are struggling to find qualified people for AI roles.
Learning the basics of AI now makes you a valuable asset to help solve this problem.

Affordable Ways to Learn

ScholarHat provides this Free Azure AI Fundamentals Course so you can learn important skills without having to spend money.

Why Learn Azure AI 900? Career Scope After AI 900 Certification

Azure AI-900 is a great way to learn about artificial intelligence on a major cloud platform that 95% of the top 500 companies use. Microsoft reports a 40% increase in people getting AI-900 certifications in 2025, showing how important it is in today’s AI-focused world.

After you get certified, you will find many job opportunities:

Entry-Level Jobs: You can start your career as an AI support specialist or a cloud analyst; Indeed shows over 15,000 job postings looking for AI-900 skills in 2025.
Salary Possibilities: You can increase your pay by 20-30%, with average salaries in the US ranging from $70,000 to $90,000, according to Payscale.
Industry Uses: Use AI in healthcare for making predictions, in finance for security, and in retail for personalizing experiences—global spending on AI hit $200 billion in 2024 (IDC).
Career Growth: Move on to certifications like AZ-204, which can lead to specialized jobs that are expected to grow by 22% by 2030 (US Bureau of Labor Statistics).
Flexible Job Options: You can find over 5,000 freelance jobs on Upwork, where beginners in Azure AI earn between $25 and $50 per hour.

This free course not only helps you pass the exam but also builds your confidence in applying what you’ve learned, matching the 85% of jobs that are now looking for people with AI knowledge.

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

This course includes

100 % OFF

~~₹ 5,033~~ Free

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Frequently Asked Questions

Q1. Are these coding courses really 100% free?

Yes! All our listed courses are completely free. You can access all learning materials, videos, and resources without paying a single rupee.

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

Free Azure AI Fundamentals Course Overview

Key Skills You'll Master in This Free Azure AI-900 Certification Course

Outcomes of the Azure AI-900 Free Course

Why Pursue Azure AI Fundamentals in 2025?

Why Learn Azure AI 900? Career Scope After AI 900 Certification

Tools and Technologies Covered

Azure AI Fundamentals Course Key Features

This course includes

Included in this Course

Module 1. Azure AI Fundamentals: Introduction to AI Lessons (2)

Introduction to AI, ML and DL

Responsible AI

Module 2. Azure AI Fundamentals: Machine Learning with Azure Lessons (1)

Machine Learning vs Deep Learning

Module 3. Azure AI Fundamentals: Generative AI Concepts and Azure Integration Lessons (2)

Gen AI and LLMs

AI vs ML vs DL vs GenAI vs LLMs

Module 4. Azure AI Fundamentals: Natural Language Processing and Speech in Azure Lessons (2)

Azure AI Language Services

Lab: Azure AI Language

Module 5. Azure AI Fundamentals: Computer Vision and Azure AI Services Lessons (5)

Azure AI Services

Lab: Creating Azure AI Services

Lab: Working With Azure AI Services

Azure Computer Vision

Lab: Image Analysis

1. Introduction to AI

2. Introduction to Machine Learning

3. Azure ML Studio & Automated ML

4. Introduction to Generative AI concepts

5. Building Generative AI Solutions with Azure AI Foundry

6. Introduction to Natural language processing (NLP)

7. Build NLP Solutions Using Azure AI Language and Translator

8. Speech Recognition and Synthesis with Azure AI

9. Introduction to Computer Vision

1. Azure AI: Exploring Face Detection

2. Azure AI: Extract Data from Forms

3. Azure AI: Translate Speech using Azure AI Speech Service

4. Azure AI: Recognize and Synthesize Speech

5. Azure AI: Multilingual Speech Translation

6. Azure AI: Deploy AI Search using Bicep

7. Azure AI: Translate Text with Azure AI Translator

8. Azure AI: Building Azure AI Health Bot using Azure CLI

9. Azure AI: Deploy AI Search using an ARM Template

10. Azure AI: Read Text in Images

11. Azure AI: Image Analysis with Azure AI Content Safety

12. Azure AI: Exploring Form Recognition

13. Azure AI: Use an Azure AI Services Container

14. Azure AI: Explore Computer Vision

15. Azure AI: Exploring Optical Character Recognition

1. AI and Machine Learning Fundamentals

2. AI 900 Skill Test

3. Machine Learning with Azure

4. Generative AI Concepts and Azure Integration

5. Natural Language Processing and Speech in Azure

6. Computer Vision and Azure AI Services

7. AI-Powered Information Extraction with Azure

Q&A Guides

Module 1. Azure AI Fundamentals QA: Introduction to AI Lessons (1)

Introduction to AI Concepts

Module 2. Azure AI Fundamentals QA: Machine Learning with Azure Lessons (2)

Introduction to Machine Learning Concepts

Design & Train ML Models with Azure ML

Module 3. Azure AI Fundamentals QA: Generative AI Concepts & Integration Lessons (2)

Introduction to Generative AI Concepts

Building Generative AI Solutions with Azure AI Foundry

Module 4. Azure AI Fundamentals QA: Natural Language Processing & Speech in Azure Lessons (3)