Learning Objectives

Intellectual Point
Artificial Intelligence Workloads and Considerations

[15–20%] Identify features of common AI workloads (such as computer vision, natural language processing, and generative AI) and describe considerations for responsible AI, including fairness, reliability, and privacy.

Intellectual Point
Fundamental Principles of Machine Learning on Azure

[15–20%] Describe core machine learning concepts, including supervised and unsupervised learning, and identify Azure services that support machine learning solutions.

Intellectual Point
Features of Natural Language Processing (NLP) Workloads on Azure

[15–20%] Describe common NLP workloads (such as sentiment analysis and language understanding) and identify Azure services that support NLP solutions.

Intellectual Point
Features of Generative AI Workloads on Azure

[20–25%] Describe features and use cases of generative AI workloads, including large language models, and identify Azure services that support generative AI solutions.

  • Intellectual Point's Microsoft Azure AI Fundamentals Training Course is crafted to provide a comprehensive introduction to artificial intelligence (AI) as it relates to Microsoft's Azure platform. This course delves into the core concepts of AI, including machine learning, computer vision, and natural language processing, while emphasizing their practical applications using Azure services. You will gain hands-on experience with Azure AI tools and learn to integrate AI solutions to enhance business processes. Ideal for those looking to gain a foundational understanding of AI in a cloud environment, the course bridges the gap between AI theory and real-world applications.
  • Throughout the training, you will explore Azure AI services, machine learning workflows, and the implementation of AI models in Azure. The course features hands-on labs and projects that allow you to develop and deploy AI solutions effectively. By the end, you will have the necessary skills to leverage AI technologies to drive business innovation and efficiency. By the end of this course, participants will:
  • 1) Understand and articulate core AI concepts relevant to the Azure platform.
  • 2) Effectively utilize Azure services to implement intelligent solutions.
  • 3) Prepare for and achieve the Microsoft Certified: Azure AI Fundamentals certification.
  • 4) Gain practical skills in deploying and managing AI models in the cloud.
  • 5) Develop the ability to integrate AI technologies into existing business processes efficiently.

Module by Module Learning Outline

Program Materials

Core AI Concepts and Azure Overview

Learning Objectives

  • Understand foundational AI concepts and their relevance to Azure.
  • Learn how to navigate and utilize basic Azure services for AI.

Topics Covered

  • Fundamentals of Artificial Intelligence: Definition and key principles of AI.
  • Introduction to Microsoft Azure: Azure platform overview and key features for AI.

Machine Learning in Azure

Learning Objectives

  • Gain understanding of machine learning principles and workflows.
  • Utilize Azure Machine Learning for model development and deployment.

Topics Covered

  • Basics of Machine Learning: Types of machine learning: supervised, unsupervised, reinforcement.
  • Azure Machine Learning Studio: Creating and managing machine learning workspaces.

Implementing Computer Vision Solutions

Learning Objectives

  • Explore computer vision capabilities and applications.
  • Utilize Azure Cognitive Services for developing vision based solutions.

Topics Covered

  • Computer Vision Fundamentals: Concepts of image processing and analysis.
  • Azure Computer Vision Services: Overview of Azure’s computer vision APIs.

Building Natural Language Processing Applications

Learning Objectives

  • Understand NLP principles and technologies.
  • Implement NLP solutions using Azure resources.

Topics Covered

  • Introduction to Natural Language Processing: Key NLP concepts and terminologies.
  • Azure NLP Services and Tools: Leveraging Azure’s language understanding (LUIS).

AI Model Deployment and Business Integration

Learning Objectives

  • Learn to deploy and manage AI models in Azure.
  • Understand AI integration into business processes for enhanced decision making.

Topics Covered

  • AI Model Deployment: Strategies for deploying AI models in a cloud environment.
  • Integrating AI into Business: Creating workflows integrating AI models and business systems.

Tuition & Hours

Tuition is charged by course. The cost of the certification exam is not included in the tuition and is a separate cost based on the current rates as set by the vendor.

Course Total Hours Tuition
AIML-100: Microsoft Azure AI Fundamentals 72 $4,499.00

Books & Supplies

There are no additional charges for books or supplies.

Indirect Costs

Should a student wish to obtain the Microsoft Certified Azure AI Fundamentals certification exam, the cost is an additional fee not covered in tuition. While encouraged, the exam is not a required expense to be paid at the time of enrollment. To obtain a voucher for the certification exam, you will need to purchase it separately.

Course Exam Exam Fee
AIML-100: Microsoft Azure AI Fundamentals Microsoft Certified Azure AI Fundamentals $99

Program Award

Upon successful completion of the course, the student will receive a Certificate of Completion for Microsoft Azure AI Fundamentals Training.

* Exam fees are quoted based on time of publication. Voucher prices may change based on vendor rates and are updated accordingly. Please contact Intellectual Point to verify exam fee charges.

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Microsoft Certified Azure Fundamentals AZ-900 Certification Course at Intellectual Point Includes:

  • Live, Instructor-led training in modern classrooms
  • A thorough review of all Azure topics by industry experts
  • 24 x 7 access to the real labs in classrooms and remotely
  • 100% latest material & and thousands of realistic practice questions
  • Confidence building hands-on training with simulated exams
  • Authorized Pearson VUE testing at the same location to help you complete your exam*
  • Study material, notes, videos, and practice questions included in the course price

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