AI-900 Microsoft Azure AI Fundamentals - [elearning]
AI-900 Microsoft Azure AI Fundamentals - [elearning]
Upcoming Schedules:
Online - start any day at your convenience and your pace on MS Learn platform.
Microsoft Learn offers a comprehensive range of AI courses designed to equip learners with the skills needed to excel in the rapidly evolving field of artificial intelligence.
These courses cover various aspects of AI, from foundational concepts to advanced machine learning techniques, all delivered through interactive learning paths and hands-on labs. Whether you're a beginner looking to understand AI basics or a professional aiming to deepen your expertise,
Microsoft Learn provides tailored content that aligns with industry standards, helping you stay competitive in today's AI-driven world.
Course Overview:
This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them.
Target Audience:
The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed.
Prerequisites:
Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.
What's Included :
- Online access for AI-900T00 course on MS Learn platform
- Course completion certificate subject to modules & assessments completion.
- Mansi Skills guidance for onboarding & scheduling these courses on MS Learn platform.
Module 1: Microsoft Azure AI Fundamentals: AI Overview
Artificial Intelligence (AI) empowers amazing new solutions and experiences; and Microsoft Azure provides easy to use services to help you get started..
- Fundamental AI Concepts
- Fundamentals of machine learning
- Fundamentals of Azure AI services
Module 2: Microsoft Azure AI Fundamentals: Computer Vision
Computer vision is an area of artificial intelligence (AI) in which software systems are designed to perceive the world visually, through cameras, images, and video. There are multiple specific types of computer vision problem that AI engineers and data scientists can solve using a mix of custom machine learning models and platform-as-a-service (PaaS) solutions - including many AI services in Microsoft Azure.
- Analyze images
- Image classification with custom Azure AI Vision models
- Detect, analyse and recognize faces
- Read Text in images and documents with Azure AI Vision Service
- Analyse video
Module 3: Develop natural language processing solutions with Azure AI Services
Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.
- Fundamentals of computer vision
- Fundamentals of facial recognition
- Fundamental of optical character recognition
Module 4: Microsoft Azure AI Fundamentals: Document Intelligence and Knowledge Mining
Explore two AI workloads: document intelligence and knowledge mining.
- Fundamentals of Azure AI document intelligence
- Fundamentals of knowledge mining & AI search
Module 5: Microsoft Azure AI Fundamentals: Generative AI
Generative AI is a form of artificial intelligence in which models are trained to generate new original content based on natural language input. In other words, you can describe a desired output in normal everyday language, and the model can respond by creating appropriate text, image, or even code output.
- Fundamentals of Generative AI
- Fundamentals of Azure OpenAI services
- Fundamentals of responsible Generative AI