AI-900: MS Azure AI Fundamental Certification Crash Course

Learn the Azure AI and ML: PASS Azure AI 900 Certification - AI-900 Microsoft Azure AI Fundamentals Preparation Course

What you'll learn
- AI 900 Azure AI Fundamentals
- AI 900 Machine learning workload
- AI 900 Computer vision workload
- AI 900 Crash course over the weekend
- AI-900 Azure AI Fundamentals Exam Prep In One Day
- AI-900: Microsoft Azure AI Fundamentals in a Weekend [2025]
- Learn the main concepts of Azure AI Services
- Take and pass the Azure AI-900 AI Fundamentals exam
- Earn the Microsoft Certified Azure AI Fundamentals badge
- Includes May 2025 changes
- Get Started with Cloud and Microsoft Azure
- Learn Artificial Intelligence and Machine Learning
- Students will learn core concepts of AI, like machine learning, deep learning, natural language processing (NLP), computer vision, and AI solutions in general.
- You will learn the importance of fairness, transparency, accountability, and privacy when designing AI models and solutions.
- Students will learn the workflow of training machine learning models, including data preparation, model building, training, and evaluation.
- This course is designed for individuals who want to demonstrate foundational knowledge of Artificial Intelligence (AI) and its applications in Microsoft Azure.

Requirements
- No Programming knowledge required
- No Artificial Intelligence knowledge required
- No Coding knowledge required
- No Azure Cloud knowledge required

Description
This is crash course to prepare students who want to attempt the Exam AI-900: Microsoft Azure AI Fundamentals

LEARN AZURE ARTIFICIAL INTELLIGENCE, MACHINE LEARNING (ML), NATURAL LANGUAGE PROCESSING (NLP) TECHNOLOGIES IN A DAY!

This course has contents for the Exam AI-900

The objectives covered in this course are

Describe AI workloads and considerations (15-20%)- Here we will discuss the basics on AI-based workloads.

Describe fundamental principles of machine learning on Azure (30-35%)- Here we will understand what Machine Learning is. We will also look at labs on how to work with the Machine Learning service. This also include demo of Automated ML job creation and ML designer using Azure ML Studio

Describe features of computer vision workloads on Azure (15-20%)- Here we will look at the different features of the Computer Vision service. We will also look at the Custom Vision service, the Face service and the Form Recognizer service. This also include demo of vision workload using Azure Vision Studio

Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)- Here we will look at services such the Text Analytics service, the Language Understanding Intelligence Service, the Speech service. This also include demo of NLP and speech services using Azure Speech Studio.

Describe features of conversational AI workloads on Azure (15-20%)- We will see how AI could be launched as AI as service. This includes details about transformer architecture, foundational models. I will provide demo of Chatgpt. We will learn Azure AI Foundry to use AI services provided by Microsoft in Azure.

There is also a number of labs available in this course. These labs focus on the different services available in Azure when it comes to Machine Learning and Artificial Intelligence.

Who this course is for:

AI-900: Microsoft Azure AI Fundamentals course is designed for individuals new to Artificial Intelligence (AI) and Microsoft Azure, as well as those looking to build foundational knowledge in these areas.

Candidates with non-technical backgrounds who are interested in learning about machine learning

Candidates with technical backgrounds who are interested in getting more advanced certs in the future

Students who want to get a head start in the field of Machine Learning and Artificial Intelligence

You want to get Microsoft Azure Certification - AI-900 Azure AI Fundamentals

You will get a free Azure AI 900 Practice test course worth $20 free if you buy this course. This is unique offering among all Udemy courses.

Who this course is for:
- Beginner AI Engineer
- Beginner Machine Learning Engineer
- Cloud Developers
- Azure developers
- Dotnet developers
- Software Engineering Managers
- Software Developers
- Delivery Managers
- Python developers
- AI developers
- Scrum Master
- Project Managers
- Business Analyst
- Product Owners
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