AI-102T00: Designing and Implementing Microsoft Azure AI Solutions

AI-102T00: Designing and Implementing a Microsoft Azure AI Solution

Last Updated: 20-06-2025

The AI-102T00: Designing and Implementing a Microsoft Azure AI Solution course is designed for professionals looking to enhance their skills in creating, deploying, and managing AI solutions using Microsoft Azure. This comprehensive course covers the key aspects of Azure AI services, including machine learning, natural language processing (NLP), computer vision, and knowledge mining, all essential for building intelligent, data-driven applications. You’ll learn how to design and implement Azure AI solutions by leveraging services like Azure Cognitive Services, Azure Machine Learning, and Azure Bot Services. Whether you're looking to implement chatbots, vision models, or AI-driven business solutions, this course will prepare you to develop and deploy scalable AI solutions while ensuring optimal performance, security, and compliance on Azure.

Schedule & Fee
Learning Objectives
Prerequisites
Target Audience
Course Modules
FAQs

Schedule	Learners	Course Fee (Incl. of all Taxes)	Register Your Interest
August 04^th - 07^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 32 Hours)		10% Off $800 $720 Fast Filling! Hurry Up.
August 11^th - 14^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 32 Hours)		10% Off $800 $720
August 18^th - 27^th 06:00 PM - 10:00 PM (CST) Live Virtual Classroom (Duration : 32 Hours)		10% Off $800 $720
August 25^th - 28^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 32 Hours) Guaranteed-to-Run		10% Off $800 $720
September 01^st - 04^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 32 Hours)		20% Off $800 $640
September 08^th - 11^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 32 Hours)		20% Off $800 $640
September 15^th - 24^th 06:00 PM - 10:00 PM (CST) Live Virtual Classroom (Duration : 32 Hours)		20% Off $800 $640
September 22^nd - 25^th 09:00 AM - 05:00 PM (CST) Live Virtual Classroom (Duration : 32 Hours) Guaranteed-to-Run		20% Off $800 $640

Course Prerequisites

Basic understanding of cloud computing concepts and Microsoft Azure services.
Familiarity with programming languages such as Python or C#.
Experience with machine learning concepts, including training models, evaluating performance, and deploying models.
Familiarity with data science tools and concepts like data preprocessing, feature engineering, and model evaluation is helpful but not mandatory.
AI and machine learning fundamentals or completion of a foundational Azure AI course would be beneficial.

Learning Objectives

By the end of the AI-102T00: Designing and Implementing a Microsoft Azure AI Solution course, you will be able to:

Design an AI solution architecture using Azure AI services based on business requirements and technical constraints.
Develop and deploy machine learning models using Azure Machine Learning, ensuring optimal performance and scalability.
Implement computer vision solutions with Azure Cognitive Services, enabling your applications to analyze images and video streams.
Leverage natural language processing (NLP) techniques and services like Azure Cognitive Services for Language to build intelligent applications that understand and generate human language.
Integrate AI models into applications using Azure Bot Services to create and deploy AI-powered bots.
Implement knowledge mining using Azure Cognitive Search to extract valuable insights from unstructured data.
Optimize the performance of Azure AI solutions, focusing on scaling, security, and data privacy best practices.
Apply best practices in managing the lifecycle of AI models, including training, evaluation, deployment, and monitoring.
Understand the compliance and governance aspects of Azure AI to ensure regulatory standards are met.
Prepare for the AI-102 certification exam, gaining practical skills and real-world experience to help you pass the exam with confidence.

Target Audience

This course is ideal for:

AI developers, data scientists, and machine learning engineers looking to design and implement AI solutions on Microsoft Azure.
Cloud architects and IT professionals seeking to build intelligent applications using Azure AI tools.
Solutions architects who want to deepen their knowledge of AI services in Azure for creating AI-powered systems.
Individuals preparing for the AI-102 certification exam or anyone looking to gain expertise in designing and implementing Azure AI solutions.
Organizations aiming to incorporate AI into their workflows and products, and looking for practical strategies and skills to deploy AI applications on Azure.

Course Modules

Learning Path 1: Plan and Manage Azure AI Solutions

Select the Appropriate Azure AI Services
- Evaluate requirements to determine suitable Azure AI services, such as Azure AI Vision, Azure AI Language, Azure AI Speech, Azure AI Search, and Azure OpenAI.
- Consider factors like data privacy, scalability, and cost.
Configure Security for Azure AI Services
- Implement authentication and authorization mechanisms.
- Manage keys, tokens, and endpoint security.
Monitor and Optimize AI Solutions
- Set up logging and monitoring for AI services.
- Analyze performance metrics and implement optimizations.

Learning Path 2: Implement Computer Vision Solutions

Process Images and Videos
- Use Azure AI Vision to analyze images for object detection, facial recognition, and optical character recognition (OCR).
- Implement video analysis using Azure AI Video Indexer.
Develop Custom Vision Models
- Train custom image classification and object detection models.
- Deploy and consume custom vision models.

Learning Path 3: Implement Natural Language Processing Solutions

Analyze Text
- Utilize Azure AI Language for sentiment analysis, key phrase extraction, and entity recognition.
Implement Language Understanding
- Develop and manage language understanding models to interpret user intents and entities.
Process Speech
- Convert speech to text and text to speech using Azure AI Speech services.
- Implement speech translation features.

Learning Path 4: Implement Conversational AI Solutions

Develop Chatbots
- Design and implement conversational bots using Azure AI Language and Azure Bot Service.
- Integrate bots with various channels like Microsoft Teams, web chat, and others.
Manage Bot Conversations
- Implement dialog management and handle user interactions effectively.

Learning Path 5: Implement Knowledge Mining Solutions

Implement Azure AI Search
- Configure and manage search indexes and knowledge stores.
- Enhance search capabilities with cognitive skills for content enrichment.
Integrate Document Intelligence
- Extract information from documents using Azure AI Document Intelligence.
- Integrate extracted data into search and analytics solutions.

Course FAQs

Yes! This course is the official Microsoft training for the AI-102 certification exam and covers all exam objectives. It’s a comprehensive preparation resource, though additional practice is recommended.

The exam consists of multiple-choice questions, case studies, and hands-on scenario-based questions. It tests your ability to design, develop, and monitor AI solutions on Azure.

Validates your skills as an Azure AI Engineer Boosts your resume with a Microsoft Associate-level credential Opens doors to roles in AI development, machine learning engineering, and solution architecture Prepares you for advanced certifications in Azure AI and Data Science

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