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

About Course

AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. The course will use C# or Python as the programming language.

Course Prerequisites

To ensure success in this course, participants should meet the following prerequisites:

Familiarity with Microsoft Azure and the Azure portal
Experience with programming in C# or Python
Basic understanding of REST APIs and cloud computing
Willingness to engage in hands-on labs and AI solution design
Completion of “Take your first steps with C#” or “Take your first steps with Python” is recommended for those without programming experience

These prerequisites ensure learners are ready to build, deploy, and manage AI solutions effectively within the Azure ecosystem.

Target Audience

This course is intended for:

Software developers and engineers responsible for designing and building AI-enhanced applications
Professionals looking to integrate Azure AI Services, Azure AI Search, or Azure OpenAI into enterprise solutions
Developers experienced with C# or Python and comfortable with REST-based API integrations
Individuals aiming to deliver solutions in areas such as computer vision, language analysis, knowledge mining, intelligent search, and generative AI

Why Choose us

⭢ Live Online Training (Duration : 32 Hours)

⭢ Guaranteed to run classes

⭢ Experienced & certified trainers

⭢ Query Handling session

Enquire About This Course

Learning Objectives

After completing the AI-102T00: Designing and Implementing a Microsoft Azure AI Solution course, learners will be able to:

Understand AI concepts and the Azure AI solution ecosystem
Select and implement Cognitive Services for vision, speech, language, and decision-making
Create, secure, and consume Azure AI services via REST APIs and SDKs
Deploy AI models and services in containers for flexible deployment
Analyze images, detect objects, and perform face recognition
Process and extract insights from text using NLP techniques
Develop conversational agents with Azure Bot Service and Composer
Integrate Cognitive Services into business applications
Secure and monitor AI solutions using Azure tools
Apply AI services in real-world scenarios with hands-on lab experience

Benefits of the course

Master AI Solution Design on Microsoft Azure:
Learn how to build, deploy, and manage intelligent applications using Azure AI services, tools, and best practices.
Industry-Relevant Skills:
Gain expertise in Azure Cognitive Services, Azure Machine Learning, and conversational AI to create solutions that interpret speech, vision, language, and decision-making tasks.
Real-World Skills:
Understand how to integrate AI into apps using REST APIs and SDKs, build machine learning models, and implement responsible AI practices, including fairness, security, and compliance.
Hands-On Experience:
Includes labs and practical scenarios to design AI pipelines, deploy models, create bots with Azure Bot Service, and analyze unstructured data using AI.
Career Boost:
Prepares you for the AI-102: Azure AI Engineer Associate certification and roles such as AI Engineer, ML Developer, and Solution Architect focused on intelligent cloud solutions.