AI-900 Certification

AI-900 Certification

About Course

Artificial intelligence (AI) and machine learning are disrupting every industry on the planet. The AI-900 Azure AI Fundamentals certification is your important first step into this exciting and future-proof world. This foundational course is built for anyone with or without a technical background, who wants to learn about AI, what it means in practice, and how the possibilities exist using Microsoft Azure.  

At SkillTech, we have built our AI 900 Course to do more than provide straightforward definitions. We will give you a clear, conceptual understanding of AI workloads and the Azure services involved in creating them. We will introduce you to the most common AI use cases, from predictive analytics to a conversational agent, as well as give you the confidence to talk about AI solutions with your stakeholders whether they are technical or non-technical.   

Achieving the AI 900 certification is an amazing way to demonstrate your foundational knowledge in one of tech's fastest growing areas. It shows employers that you can use the language of AI, and you are ready to contribute to innovation. 

What Will You Learn?

This comprehensive course covers all the core objectives of the AI-900 exam, ensuring you are fully prepared. Upon completion, you will be able to: 

Describe AI Workloads and Considerations 

  • Understand the fundamental principles of Artificial Intelligence and Machine Learning. 
  • Identify features of common AI workloads, such as machine learning, computer vision, anomaly detection, and natural language processing (NLP). 
  • Explore the principles of responsible AI, including fairness, reliability, privacy, and inclusiveness. 

Understand Fundamental Principles of Machine Learning on Azure 

  • Learn about fundamental machine learning concepts such as regression, classification, and clustering. 
  • Identify the features and capabilities of Azure Machine Learning for building and managing models. 
  • Use Azure's Automated ML and Designer tools to investigate no-code machine learning solutions. 

Explore Features of Computer Vision Workloads on Azure 

  • Understand computer vision capabilities such as image classification, object detection, and facial recognition. 
  • Discover the Azure Cognitive Services that power computer vision solutions such as Computer Vision, Custom Vision, and Face services. 

Discover Features of Natural Language Processing (NLP) Workloads on Azure 

  • Learn about key NLP concepts such as key phrase extraction, sentiment analysis, and speech recognition. 
  • Explore the Language, Speech, and Bot Framework services offered by Azure Cognitive Services for NLP

Course Content

  • Introduction of the course

    05:57

  • Fundamentals of AI concepts

    10:11
  • Fundamentals of machine learning

    17:05
  • Fundamentals of Azure AI Services

    04:49
  • Explore Automated Machine Learning in Azure Machine Learning

    26:34

  • What is Computer Vision?

    06:41
  • Computer Vision Capabilities in Azure

    06:39
  • Lab - Azure AI Vision Service Step by Step

    19:43

  • Natural Language Processing Concepts

    04:33
  • Natural Language Processing Capabilities in Azure

    08:35
  • Lab - Natural Language Processing with Azure AI

    20:08
  • Building conversations with Azure AI

    20:05

  • Azure AI document intelligence

    07:36
  • Lab - Azure AI Document Intelligence service with custom forms

    26:41
  • Azure AI Search

    08:56
  • Lab - Knowledge mining with Azure AI Search

    29:20
  • Lab - Exploring Azure AI Speech Service

    15:58

  • Fundamentals of Generative AI

    16:57
  • Fundamentals of Azure OpenAI Service

    07:17
  • Demo Explore Azure OpenAI Service

    16:59
  • Responsible Generative AI

    03:16
  • Lab - Evaluate generative AI performance

    20:22
  • Lab - Explore Microsoft Copilot with Edge browser

    27:13

  • Lab - Exploring Azure AI Foundry service step by step

    28:43
  • Lab - Azure AI Foundry with Prompt flow for named entity recognition

    29:36
  • Lab - Prompt engineering techniques with Azure AI

    18:40
  • Lab - Fine tuning GPT models in Azure AI Foundry

    26:00
  • Lab - RAG with Azure AI Foundry part 1

    24:04
  • Lab - RAG with Azure AI Foundry part 2

    17:08
  • Lab - Prevent harmful content in Azure AI Foundry portal

    12:45
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