Designing and Implementing a Microsoft Azure AI Solution

(AI-102)

All our courses are 100% teacher-led by our authorized instructors and include certification exams.
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Course Overview

This 32-hour hands-on course equips professionals with the skills to design, develop, and deploy AI-powered applications using Microsoft Azure. Participants will learn how to leverage Azure Cognitive Services for vision, speech, language, and decision-making solutions, while gaining experience in securing, scaling, and integrating these services into modern applications.

Throughout the course, learners explore key tools including Azure AI Services, the Bot Framework SDK, Azure Cognitive Search, and Azure OpenAI. Guided labs provide practical experience in building intelligent bots, processing natural language, performing image recognition, and deploying AI services in containers and cloud environments.

Ideal for developers and engineers working on AI-driven applications, this course prepares candidates for the Microsoft Certified: Azure AI Engineer Associate certification.
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To view the official Microsoft curriculum and certification details, visit: https://learn.microsoft.com/en-us/training/courses/ai-102t00

Course outcome

Upon completion, participants will be able to:

Design AI workflows using Azure services tailored for language, vision, and speech scenarios.
Create and secure AI resources using Azure portal and APIs.
Deploy AI models in containers and manage service monitoring and scaling.
Build and integrate conversational bots with Azure Bot Service and the Bot Framework.
Prepare for the AI-102 certification exam and apply best practices in real-world AI projects.

Your new skills

Participants will learn to:

Identify and apply appropriate Azure Cognitive Services for various AI workloads.
Analyze and process images, detect objects, and perform facial recognition.
Build natural language understanding models and apply translation, Q&A, and sentiment analysis.
Create intelligent bots and manage end-to-end conversational AI flows.
Use Azure OpenAI and Cognitive Search to enhance applications with advanced intelligence.
Monitor, secure, and scale AI services across Azure environments.

Prerequisites:

To succeed in this course, learners should have:

Familiarity with Microsoft Azure and the Azure portal.
Experience programming with C# or Python.
Basic understanding of REST APIs and AI concepts is helpful.

This course is ideal for:

Software developers and AI engineers integrating AI into their solutions
Cloud architects building intelligent platforms on Azure
Data scientists incorporating AI into analytical workflows
Technical leads and project managers overseeing AI-driven initiatives
Candidates preparing for the Azure AI Engineer Associate certification

What is included in the price?

Fully led by an authorized instructor.

All materials needed to complete the course are included in the course fee. This includes course literature, exercise assignments and fees for the certification exam.

The course is held remotely in a virtual classroom. All lectures are recorded and are available as reference material for two weeks after course completion.