AI - 900 : Microsoft Azure AI Fundamentals Training

AI - 900 : Microsoft Azure AI Fundamentals

AI-900: Microsoft Azure AI Fundamentals is designed to validate foundational knowledge in artificial intelligence (AI) and machine learning (ML) concepts, with a specific focus on Microsoft Azure services. This certification is a great starting point for individuals who want to explore the world of AI, even if they don’t have a technical background. It’s an entry-level exam that doesn’t require prior programming or AI experience, making it widely accessible.

AI-900 is part of Microsoft’s role-based certification program. Unlike advanced certifications that require hands-on experience in programming, data science, or solution architecture, AI-900 focuses on understanding AI’s core principles, applications, and how Azure enables these solutions through various cloud services.

Audience Profile:

The Azure AI Fundamentals course is designed for individuals such as AI Engineers, Data Scientists, Developers, and Solutions Architects who are interested in understanding the types of solutions that artificial intelligence (AI) can enable and the services available on Microsoft Azure to create them. While no prior experience with Microsoft Azure is required, a basic familiarity with computer technology and the Internet is assumed. Some concepts in the course will require a basic understanding of mathematics, particularly in interpreting charts. The course also includes hands-on activities involving data manipulation and code execution, so a basic knowledge of fundamental programming principles will be beneficial.

At Course Completion:

After completing this course, students will be able to:

Describe Artificial Intelligence workloads and considerations.
Explain the fundamental principles of machine learning on Azure.
Identify features of computer vision workloads on Azure.
Understand features of Natural Language Processing (NLP) workloads on Azure.
Outline features of conversational AI workloads on Azure.

Prerequisites:

Familiarity with computers and experience in using a web browser.

Course Outline:

Module 1: Introduction to AI
Lessons:

Artificial Intelligence in Azure
Responsible AI

Module 2: Machine Learning
Lessons:

Introduction to Machine Learning
Azure Machine Learning

Module 3: Computer Vision
Lessons:

Computer Vision Concepts
Computer Vision in Azure

Module 4: Natural Language Processing
Lessons:

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

Module 5: Conversational AI
Lessons:

Conversational AI Concepts
Conversational AI in Azure

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Guaranteed to run classes as per your convenient time zone

Industry experienced & certified trainers

Query Handling session by technical expert after 2 month completion of training

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Custom tailored training as per the requirement

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Exam Mock papers

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Download Course Contents

Audience Profile:

At Course Completion:

After completing this course, students will be able to:

Describe Artificial Intelligence workloads and considerations.
Explain the fundamental principles of machine learning on Azure.
Identify features of computer vision workloads on Azure.
Understand features of Natural Language Processing (NLP) workloads on Azure.
Outline features of conversational AI workloads on Azure.

Prerequisites:

Familiarity with computers and experience in using a web browser.

Course Outline:

Module 1: Introduction to AI
Lessons:

Artificial Intelligence in Azure
Responsible AI

Module 2: Machine Learning
Lessons:

Introduction to Machine Learning
Azure Machine Learning

Module 3: Computer Vision
Lessons:

Computer Vision Concepts
Computer Vision in Azure

Module 4: Natural Language Processing
Lessons:

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

Module 5: Conversational AI
Lessons:

Conversational AI Concepts
Conversational AI in Azure

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