Microsoft Azure AI Fundamentals (AI-900T00) Certification Training Doha, Qatar

This instructor-led online Azure AI Fundamentals Certification (AI-900) Training in Doha equips you with the basic AI concepts and their application using Microsoft Azure services. As per the latest updates to the AI-900 Certification, this course covers the significance of generative AI and its

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Microsoft Azure AI Fundamentals (AI-900T00) Certification in Doha
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Expert Led Interactive Virtual Sessions
Beginner Friendly Azure AI Curriculum
AI-900 Aligned Exam Preparation Support
Hands-On Demos And Labs Access
OverviewLearning ObjectivesWho Should AttendPrerequisiteOutlineCertification

COURSE OVERVIEW

This Azure AI Fundamentals (AI-900) Certification Training in Doha is designed meticulously to provide foundational skills in artificial intelligence within the Microsoft Azure framework. This course helps you learn about the fundamental AI workloads and machine learning concepts. With the help of the Azure Machine Learning tools, you understand how to build and apply predictive models in various business contexts.

Acquire knowledge of computer vision abilities such as image analysis, facial detection, and spatial intelligence in Azure. You can expect to work on exercising natural language processing via the application of text analytics, entity recognition, and language translation. Discover principles related to knowledge mining and how the Azure Search and Cognitive Services extract the information contained in structured and unstructured data.

Your learning also covers conversational AI technologies for creating intelligent virtual agents using Azure Bot Services and the Language Understanding Intelligent Service (LUIS). Due to the growing popularity of the subject of ethical development, the curriculum focuses on the responsible AI practice. With the assistance of this module, you get acquainted with fairness, transparency, privacy, and accountability in AI models. 

The course aligns with the latest AI-900 certification version and encompasses topics on generative AI, its responsibilities, and its use in Azure OpenAI in real-time. Additionally, you get structured study plans, concept-wise practice exercises, and mock tests based on the current AI-900 exam objectives.

By the end of the course, you will receive the skills needed to understand the AI solutions, evaluate the tools based on Azure, and engage in data-based projects within the organization. 
 

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COURSE OBJECTIVES

  • Learn the concepts of Artificial Intelligence, machine learning, computer vision and natural language processing.
  • Get to know some of the most essential tasks of AI and how they are used in the business and technology world.
  • Study all possible models of machine learning, e.g., supervised, unsupervised, and reinforcement learning.
  • Learn about computer vision: classification, detection, and face recognition of images.
  • Find out how natural language processing applies to developing machine learning products. 
  • Study the concepts of conversational AI, such as chatbots and virtual agents, and how they are applied in services.
  • Learn how to apply the principles of responsible AI, such as fairness, reliability, privacy, and transparency of AI models.
  • Learn Azure AI tools such as Azure Machine Learning and Cognitive Services and their application in automation.
  • Learn about the morality problems and the regulation of AI, which is implemented in various spheres.
  • Learn practical ways in which AI can be used in real-time, in finance, healthcare, manufacturing, and retail, using tools in Azure.
     

TARGET AUDIENCE

  • Business analysts
  • IT professionals
  • Cloud beginners
  • Students
  • Non-technical professionals
     

ELIGIBILITY CRITERIA

  • Fundamental knowledge of cloud computing principles.
  • Experience with Microsoft Azure's offerings.
  • General understanding of machine learning and AI.
  • No prior knowledge of coding is necessary.
  • Skills in web-based interfaces and apps.
     

Course Outline

Introduction To AI

  • Types of artificial intelligence
  • AI definitions and concepts
  • Applications in daily life
  • Machine learning vs AI

Machine Learning Basics

  • Regression and classification tasks
  • Supervised and unsupervised learning
  • Real-world ML examples
  • Model training fundamentals
     

Computer Vision Concepts

  • Use cases of computer vision
  • Image processing basics
  • AI-powered visual tools
  • Facial recognition overview
     

Natural Language Processing

  • Language understanding in AI
  • Text analysis techniques
  • Language models overview
  • Chatbots and virtual agents

Responsible AI Practices

  • Bias and fairness in AI
  • Ethical AI considerations
  • Responsible AI principles
  • Privacy and security concerns

ABOUT THE CERTIFICATION & EXAMINATION

ABOUT THE CERTIFICATION

Azure AI Fundamentals Certification (AI-900) Training is a beginner-level Microsoft certification that confirms your basic skills in Artificial Intelligence (AI), Machine Learning, and their implementation with the help of the Microsoft Azure services. The certification is perfectly suitable for both technical and non-technical professionals who want to have a strong career in AI.

The AI-900 certification opens the doors to the expanding opportunities in AI-based projects and cross-functional jobs in technology, where knowledge of cloud-based AI solutions is a necessity. The certification is widely accepted in the industries that are concerned with digital transformation, including retail, healthcare, manufacturing, finance, and education. 

Moreover, you can get positions such as AI project manager, data analyst, business intelligence professional, and solution consultant. In addition, it prepares the way to higher Microsoft certifications, such as Azure Data Scientist Associate or Azure AI Engineer Associate, which can help develop a career in the long-term perspective in the field of AI and cloud.

 

ABOUT THE EXAMINATION

Exam Component

Details

Exam Name

Microsoft Azure AI Fundamentals (AI-900) Exam

Exam Format

Online or at a Pearson VUE center

Exam Duration

45-60 minutes

Number of Questions

The number varies, but it's usually around 40-60 questions. 

Question Type

MCQs, true/false, multiple response, and scenario-based questions

Passing Score

700 out of 1000

Exam Language

English, Japanese, Chinese (Simplified), Korean, German, French, Spanish, etc

Choose Your Preferred Mode

training option

ONLINE TRAINING

  • Instructor-led Online Training
  • Experienced Subject Matter Experts
  • Approved and Quality Ensured Training Material
  • 24*7 learner assistance and support
     
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CORPORATE TRAINING

  • Customized Training Across Various Domains
  • Instructor-Led Skill Development Program
  • Ensure Maximum ROI for Corporates
  • 24*7 Learner Assistance and Support
     
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FAQ’s

What skills does the Azure AI Fundamentals (AI-900) Certification certify in professionals?
 

Azure AI Fundamentals ( AI-900 ) Certification is a foundation-level Microsoft certification that ensures that you have a basic understanding of the concepts of artificial intelligence and how to apply them to Microsoft Azure services. It is suitable for individuals with no technical background or business interest, as well as those looking to learn more about AI and cloud technologies.

Do Generative AI topics covered in the AI-900 Certification training?

Indeed, the new version of the AI-900 certification includes a section on generative AI and its application in the Azure environment. It has covered the fundamentals of such services as Azure OpenAI Service, explaining how generative models, like GPT, are changing industries.

What are the prerequisites for the Azure AI Fundamentals Certification (AI-900) Training in Doha?

The course is ideal for both technical and non-technical learners. It would be beneficial to have a general understanding of what cloud computing and AI are, which will be useful when training.

What is the format of the AI-900 exam?

The AI-900 exam is a multiple-choice test that is generally proctored and takes 45 to 60 minutes. It consists of a combination of question types, including drag and drop, true/false, fill-in-the-blank, scenario-based, and multiple-response-style questions.

How many questions does the AI-900 exam have?

The examination contains 40-60 questions. Its pass mark is 700 out of 1000, which may vary depending on the form of exam or training provider.

How long does the Azure AI Fundamentals Certification stay valid? 

The Certification lasts one year. Microsoft Learn provides a renewal assessment that is free of charge but not proctored. 

What are the preparation tips for the AI-900 Certification exam?

It is suggested to join official Microsoft Learn courses, instructor-led training, mock tests, use cases, and revision of important concepts. Also, it is necessary to understand technical concepts as well as business applications of AI on Azure.

What is the policy on exam retakes?

In case you do not pass the AI-900 exam, Microsoft gives you a chance to retake it after a 24-hour period in the first attempt. In the case of subsequent failures, there is a waiting period of 14 days. Learners are allowed to take the exam a maximum of five times per year.

Does an AI-900 Certification require coding skills?

No, coding knowledge is not necessary. The AI-900 exam is concept-oriented, emphasizing mastery of AI workloads and services available. This makes it accessible to non-developers, business professionals, and non-technical professionals.

How does Vinsys help achieve AI-900 Certification?
 

Vinsys offers instructor-led training by certified Azure professionals, use of practice labs, scenario-based activities, doubt-resolving seminars, and a regularly updated study material as per the recent Microsoft Azure AI updates. It also offers an organized method of preparation that helps you prepare to take the exam.

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