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Microsoft Azure AI Fundamentals (AI-900) Training

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Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

Microsoft Azure AI Fundamentals (AI-900) Training Course Overview

Gain in-depth knowledge on the fundamentals of AI concepts and learn how to create AI solution with Microsoft Azure from Multisoft Systems. Enrol for Microsoft Certified: Azure AI Fundamentals (AI-900) Online Training Certification Course; learn from Multisoft’s global subject matter experts and earn a globally recognized training certificate. Avail one-on-one and corporate trainings; lifetime e-learning access and after training support.

Microsoft Certified: Azure AI Fundamentals (AI-900) Online Training Certification Course is designed for AI Engineer, Solution Architect, Cloud Architect, Software Developers, Data Scientists, aspiring AI professionals who want to learn how to build AI Solutions with Microsoft Azure and professionals who want to clear AI-900 certification exam. This course will allow participants to explore fundamental concepts of Artificial Intelligence, Microsoft Azure service and its utilization to develop AI solutions. This course consists of 5 modules, which will also help you explore key concepts of Azure AI to predict/forecast workloads, knowledge mining workloads and computer vision workloads; how to use AI to build solutions, improve apps and more.

Multisoft Systems Microsoft Certified: Azure AI Fundamentals (AI-900) Online Training Certification Course will help you obtain clear understanding of all the aspects and capabilities of Informatica Cloud. With Multisoft, you also get the opportunity to learn from global subject matter experts and avail several benefits like, lifetime e-learning access, recorded training session videos and after training support. Participants will receive one-on-one /corporate instructor led training sessions for this course. After successful completion of the program, participants are awarded with a globally recognized training completion certificate.

Microsoft Azure AI Fundamentals (AI-900) Course Objective

  • Describe AI workloads and considerations
  • Describe fundamental principles of machine learning on Azure
  • Describe features of computer vision workloads on Azure
  • Describe features of Natural Language Processing (NLP) workloads on Azure
  • Describe features of conversational AI workloads on Azure

Microsoft Azure AI Fundamentals (AI-900) Online Training

  • Recorded Videos After Training
  • Digital Learning Material
  • Course Completion Certificate
  • 24x7 After Training Support

Target Audience

  • AI Engineer
  • Solution Architect
  • Cloud Architect
  • Software Developers
  • Data Scientists
  • Aspiring AI professionals who want to learn how to build AI Solutions with Microsoft Azure
  • Professionals who are looking to clear their AI-900 certification exam

Microsoft Azure AI Fundamentals (AI-900) Course Prerequisites

  • General programming knowledge would be helpful, but is not required
  • Understanding of Mathematics
  • Ability to interpret charts
  • Fundamental programming principles

Microsoft Azure AI Fundamentals (AI-900) Course Certification

  • Multisoft Systems provides a training certification after completion of Microsoft Certified: Azure AI Fundamentals (AI-900) Online Training Certification Course.

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Microsoft Azure AI Fundamentals (AI-900) Training Course Content

Module 1: Introduction to AII

  • Artificial Intelligence in Azure
  • Responsible AI

Module 2: Machine Learning

  • Introduction to Machine Learning
  • Azure Machine Learning

Module 3: Computer Vision

  • Computer Vision Concepts
  • Computer Vision in Azure

Module 4: Natural Language Processing

  • Describe features of Natural Language Processing (NLP) workloads on Azure

Module 5: Conversational AI

  • Conversational AI Concepts
  • Conversational AI in Azure

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Microsoft Azure AI Fundamentals (AI-900) Training (MCQ) Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

  • User-friendly interface for easy navigation
  • Secure login and authentication measures to protect data
  • Automated scoring and grading to save time
  • Time limits and countdown timers to manage duration.
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Microsoft Azure AI Fundamentals (AI-900) Corporate Training

Employee training and development programs are essential to the success of businesses worldwide. With our best-in-class corporate trainings you can enhance employee productivity and increase efficiency of your organization. Created by global subject matter experts, we offer highest quality content that are tailored to match your company’s learning goals and budget.

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Learning Assessment

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Certification Training Achievements: Recognizing Professional Expertise

Multisoft Systems is the “one-top learning platform” for everyone. Get trained with certified industry experts and receive a globally-recognized training certificate. Some Multisoft Training Certificate Features :

  • Globally recognized certificate
  • Course ID & Course Name
  • Certificate with Date of Issuance
  • Name and Digital Signature of the Awardee
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Microsoft Azure AI Fundamentals (AI-900) Training FAQ's

AI or Artificial intelligence is referred to the ability of a system (computer/robot) that is controlled by another computer to perform tasks, which are generally done by humans as they require human discernment and intelligence.

Azure Machine Learning is a cloud service used to accelerate and manage the machine learning project lifecycle day-to-day workflows, i.e. to manage Machine Learning operations and train and deploy models.

The 7 types of AI are Reactive machines, Self-aware, Theory of mind, Limited memory, Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI) and Artificial Super Intelligence (ASI).

Azure Bot Service is Microsoft's AI chatbot which enables developers to add intelligent virtual agents that can communicate. Azure Bot eliminates the need to build one's own AI. This is offered as a service on the Azure cloud service marketplace.

Every machine learning algorithm has three main elements:

  • Representation: How the model looks and how the knowledge is presented.
  • Evaluation: How programs are evaluated and models are differentiated.
  • Optimization: How programs are generated and the process to find good models.

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