Learning Objectives

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Planning and Managing Azure AI Solutions

[15–20%] Focuses on selecting appropriate Azure AI services, planning, creating, deploying, and managing AI solutions, including monitoring and securing them.

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Implementing Natural Language Processing (NLP) Solutions

[30–35%] Involves analyzing text and speech, translating languages, and creating question-answering solutions using Azure AI Language and Speech services.

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Implementing Computer Vision Solutions

[15–20%] Covers analyzing images and videos, and implementing custom vision models using Azure AI Vision services.

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Implementing Knowledge Mining and Document Intelligence Solutions

[10–15%] Addresses extracting information from documents and implementing knowledge mining solutions using Azure AI Search and Document Intelligence.

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Implementing Generative AI Solutions

[10–15%] Encompasses using Azure OpenAI Service to generate content and optimize generative AI models.

  • Intellectual Point's Microsoft Azure AI Engineer - Associate Training Course is strategically crafted to empower learners with the expertise needed to excel in designing and implementing AI solutions using Azure. This course prepares you for the corresponding Microsoft certification exam, guiding you through the nuances of working with data science and AI principles using Azure's cutting-edge tools and services. New and experienced practitioners in the field will find immense value in the training's blend of theoretical understandings and hands-on applications. By the end of this course, you will gain comprehensive skills in leveraging Azure for AI workloads, which are in high demand across various industry segments.  
  • Throughout the training, you will explore topics including Azure machine learning, cognitive services, and conversational AI. The course features intensive lab exercises that enable you to apply AI principles in practical scenarios, such as developing models and deploying solutions on Azure platforms. By the end, you'll confidently foster AI-driven transformations with efficiency and precision. By the end of this course, participants will:
  • 1) Acquire and apply skills in designing comprehensive AI solutions using Microsoft Azure environments. 
  • 2) Develop and deploy machine learning models utilizing Azure's robust AI tools. 
  • 3) Enhance conversational interfaces through Azure's cognitive services and bot frameworks.
  • 4) Implement data management strategies to support scalable AI solutions on Azure platforms.
  • 5) Achieve proficiency necessary to pass the certification exam, boosting your prospects in AI roles.

Module by Module Learning Outline

Program Materials

Fundamentals of Azure AI and Machine Learning

Learning Objectives

  • Understand the basics of AI and its applications in the Azure ecosystem.
  • Explore Azure Machine Learning services to develop AI solutions.

Topics Covered

  • Overview of AI Concepts: Definitions and core concepts of AI. Applications and implications of AI technologies.
  • Introduction to Azure Machine Learning: Overview of Azure Machine Learning services and tools. Setting up your Azure environment for AI workloads.

Cognitive Services and AI Model Development

Learning Objectives

  • Gain proficiency in using Azure Cognitive Services for AI model development.
  • Learn to design and implement AI models using data science principles.

Topics Covered

  • Azure Cognitive Services: Overview of speech, text, and vision services. Integrating cognitive services into AI applications.
  • Developing AI Models: Techniques for data preparation and feature engineering. Building and training AI models in Azure.

Implementing Conversational AI and Bots

Learning Objectives

  • Develop skills to create conversational interfaces using Azure.
  • Implement and manage bot frameworks to enhance user interaction.

Topics Covered

  • Conversational AI Fundamentals: Principles of conversational interfaces and user engagement. Overview of Azure Bot Services and their capabilities.
  • Building Bots on Azure: Setting up and customizing bot frameworks. Deploying and testing conversational interfaces.

Data Management and Deployment Strategies for AI Solutions

Learning Objectives

  • Implement effective data strategies for comprehensive AI deployments.
  • Deploy and manage AI solutions using Azure services.

Topics Covered

  • Data Management Techniques: Best practices for data storage and retrieval in Azure. Techniques for scalable data preprocessing and management.
  • AI Solution Deployment: Deployment architectures and strategies for AI applications. Monitoring and maintaining deployed AI solutions on Azure.

Preparing for Azure AI Certification

Learning Objectives

  • Review key concepts for the Microsoft Azure AI Engineer Associate certification exam.
  • Develop exam strategies and enhance test taking skills.

Topics Covered

  • Certification Exam Overview: Structure and content of the Microsoft Azure AI Engineer Associate exam. Key topics and emphasis areas in the certification process.
  • Exam Preparation Techniques: Effective study plans and resources. Practice exams and hands-on labs for exam readiness.

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-202: Microsoft Azure AI Engineer – Associate 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 Azure AI Engineer – Associate 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-202: Microsoft Azure AI Engineer – Associate Microsoft Azure AI Engineer – Associate $165

Program Award

Upon successful completion of the course, the student will receive a Certificate of Completion for Microsoft Azure AI Engineer – Associate 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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