Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
6 Hour(s) 43 Minute(s)
Language
English
Taught by
Sandeep Soni
Rating
Course Overview
All-in-one Azure AI-900 course with full syllabus coverage, hands-on demos, and exam-ready content - Updated Syllabus
Breaking into Artificial Intelligence doesn’t have to feel overwhelming. In this course, I’ve taken everything I’ve learned from teaching thousands of students across Azure, AI, and Cloud Computing — and structured it into a simple, practical learning experience created specifically for AI-900 aspirants.
The goal of this course is very straightforward:
Help you understand AI concepts clearly, learn how Azure’s AI services work in the real world, and prepare you confidently for the AI-900 certification.
You’ll start with the absolute basics — what AI, Machine Learning, and Generative AI actually mean — and then move into hands-on examples using Azure Cognitive Services, Azure OpenAI, Responsible AI, and essential use cases that companies are implementing today.
Throughout the course, I focus on real explanations instead of jargon. Each module is broken down into small, easy-to-understand lessons so you never feel lost, even if you’re completely new to AI or Azure.
By the end of this course, you will:
Understand the core AI concepts tested in AI-900
Explore Azure AI services through guided demos
Learn real industry applications of Vision, NLP, and Generative AI
Build confidence to appear for the AI-900 exam
Understand how AI is being adopted across various industries
If you want a clean, structured, beginner-friendly path into AI using Microsoft Azure — this course is designed for you.
Course Content
- 6 section(s)
- 21 lecture(s)
- Section 1 Introduction to AI in Azure
- Section 2 Get Started with Machine Learning in Azure
- Section 3 Get started with Generative AI in Azure
- Section 4 Natural Language Processing
- Section 5 Computer Vision
- Section 6 Information Extraction
What You’ll Learn
- Understand core Artificial Intelligence (AI) concepts, including machine learning types, computer vision, NLP, and responsible AI principles.
- Work with Azure AI Services, such as Azure Cognitive Services, Azure Machine Learning, and AI–based automation tools.
- Identify real-world business problems and map them to Azure AI solutions, gaining clarity on when and how to use AI capabilities effectively.
- Evaluate and deploy AI models using Azure, including classification models, vision models, text analysis, and knowledge mining solutions.
- Apply best practices of responsible AI, including fairness, transparency, accountability, and privacy considerations.
- Analyze AI workloads, understand their components, and determine suitable Azure services to implement them.
- Understand cloud-based ML pipelines, automated ML concepts, and how AI integrates with enterprise applications.
- Prepare confidently for the AI-900 certification exam through conceptual learning, demos, and real-time case studies.
Skills covered in this course
Reviews
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NNexus E Learning
Great content. very clear and to the point
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SSaketh Gajula
This course is well-structured, exam-focused, and beginner-friendly. I highly recommend it to anyone preparing for the AI-900 certification.
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KKurra Chaithanya
The content is informative and explained in a clear, understandable way.
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SSiddanthapu Bhargavi
Great Session!
