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AI-102: Develop AI Solutions in Azure Certification

This 5-day live virtual AI-102: Develop AI Solutions in Azure course in the USA is structured to help developers create advanced AI-driven applications using Azure’s comprehensive AI ecosystem. The program walks participants through building end-to-end solutions that include generative AI m

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AI-102: Develop AI Solutions in Azure Certification

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usa

Domain / Vendor

ai 102 develop ai solutions in azure certification

24/7 training assistance

Virtual instructor-led training (40 hours)

Official Microsoft course curriculum

Led by Microsoft-certified trainers

Overview Learning Objectives Who Should Attend Prerequisite Outline Certification

Course Overview

The AI-102: Develop AI Solutions in Azure course in the USA is designed to equip developers with practical skills required to design, build, and manage intelligent cloud-based AI applications using Microsoft Azure services. This program introduces participants to the full lifecycle of AI solution development, from selecting suitable AI models and configuring resources to deploying scalable applications that combine generative AI, natural language processing, computer vision, and conversational intelligence.

Throughout the training, learners work extensively with Azure AI Foundry, SDKs, REST APIs, and integrated cloud tools to understand how multiple AI services operate together in real enterprise ecosystems. The course emphasizes structured development practices, hands-on labs, and scenario-based exercises that mirror real production environments rather than isolated technical demonstrations. Participants gain exposure to building AI agents, implementing Retrieval Augmented Generation (RAG), training custom models, and designing multimodal applications that process text, speech, and visual data.

In addition to development techniques, the course highlights performance monitoring, responsible AI guidelines, governance controls, and secure deployment strategies to ensure solutions remain compliant and enterprise-ready. By the end of the program, learners develop the confidence to architect end-to-end AI systems on Azure, integrate intelligent services into existing software solutions, and progress toward advanced Azure AI engineering roles and certification pathways.

Course Objectives

Understand the complete lifecycle of designing and developing AI-enabled applications on Microsoft Azure.
Learn how to provision, configure, and secure Azure AI resources and cognitive services effectively.
Build and deploy generative AI applications using Azure AI Foundry tools and SDKs.
Develop intelligent AI agents capable of handling enterprise workflows and automation scenarios.
Implement Retrieval Augmented Generation (RAG) techniques using custom organizational data sources.
Create natural language processing solutions for text analysis, sentiment detection, and entity recognition.
Design and integrate speech-enabled features including speech-to-text, text-to-speech, and translation services.
Develop computer vision solutions for image analysis, object detection, and facial recognition tasks.
Apply responsible AI principles, governance controls, and security best practices in AI solution development.
Evaluate, monitor, and optimize AI model performance to ensure scalable and production-ready deployments.

Target Audience

Software Developers
AI Engineers
Data Scientists
Machine Learning Engineers
Cloud Solution Architects
Technical Consultants working on AI solutions

Eligibility Criteria

Required

Hands-on experience in software development, especially building, deploying, and maintaining application solutions
Proficiency in either C# or Python programming
Familiarity with REST APIs and SDK usage for integrating AI, vision, speech, and language services on Azure

Recommended

AI-900T00: Introduction to AI in Azure
AI-3017: AI for Business Leaders
AI+ Executive™
AI+ Prompt Engineer™ – Level 1
AI+ Prompt Engineer™ – Level 2

Course Outline

Design and Prepare AI Solutions on Azure

Understand AI solution planning and architecture considerations
Explore Azure AI services, SDKs, and developer tools
Review responsible AI principles and compliance practices
Prepare project environments and resources for AI development

Build Generative AI Applications

Select and deploy large language models from model catalogs
Create chat-based applications using SDKs and APIs
Implement prompt engineering and prompt flow techniques
Develop Retrieval Augmented Generation (RAG) solutions using custom data
Fine-tune language models and evaluate model outputs

Develop AI Agents and Multi-Agent Systems

Understand AI agent concepts and enterprise use cases
Build AI agents using Azure AI services and development extensions
Integrate custom tools and external services into agents
Design connected and multi-agent orchestration workflows
Manage agent lifecycle, monitoring, and scalability considerations

Create Natural Language and Speech Solutions

Analyze and extract insights from text using language services
Build conversational understanding and question-answering systems
Implement translation, sentiment analysis, and entity recognition
Develop speech-to-text and text-to-speech enabled applications
Create multimodal audio-based generative AI solutions

Develop Computer Vision Solutions

Analyze images and videos using vision services
Build face detection and recognition applications responsibly
Train custom image classification and object detection models
Read and process text from images and documents
Develop multimodal vision-enabled generative AI apps

Implement AI Information Extraction and Search

Use document intelligence to extract structured data from forms
Build multimodal content understanding solutions
Create knowledge mining and intelligent search systems
Enrich and index enterprise data using AI search services
Persist insights and optimize search performance

Responsible AI, Security, and Performance Optimization

Map and mitigate potential AI risks and harms
Apply governance, security, and data protection measures
Monitor model performance and automate evaluations
Optimize deployment strategies for scalability and reliability
Establish best practices for long-term AI solution management

About The Examination

This course prepares participants for the AI-102: Designing and Implementing an Azure AI Solution certification exam. The exam tests practical skills in building AI applications on Microsoft Azure, including language services, computer vision, generative AI, and AI agents using C# or Python.

After passing the exam, learners receive the Microsoft Certified: Azure AI Engineer Associate certification. This credential confirms the ability to design, develop, and deploy AI solutions on Azure and is widely recognized by employers in AI and cloud technology roles.

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FAQ’s

What is the AI-102T00-A: Develop AI Solutions in Azure course in the USA about?

The AI-102T00-A course focuses on teaching professionals how to design, build, and deploy AI-powered applications using Microsoft Azure AI services. Participants learn how to work with generative AI models, AI agents, computer vision, natural language processing, speech services, and intelligent search to create real business solutions in cloud environments.

Who should attend this course?

This program is ideal for software developers, AI engineers, data scientists, and technical professionals who want to build enterprise-grade AI applications using Azure. It is especially useful for individuals involved in application development, machine learning integration, and cloud-based AI projects.

Do I need prior AI experience to take AI-102?

Basic exposure to AI or machine learning concepts is helpful but not mandatory. However, participants should be comfortable with programming and application development since the course involves hands-on coding exercises.

What are the prerequisites for AI-102 training?

Learners should have experience in software development and knowledge of either C# or Python. Familiarity with REST APIs, SDKs, and basic cloud concepts will make it easier to follow the technical modules covered in the course.

What skills will I gain from this training?

You will learn how to develop generative AI applications, build AI agents, implement computer vision and speech solutions, create conversational bots, analyze text and documents, and design intelligent search systems using Azure AI services. The course also introduces responsible AI practices and secure deployment methods.

Is the AI-102 course delivered online or in person?

The course is delivered through live virtual instructor-led sessions. Participants attend interactive classes, complete guided labs, and receive real-time assistance from certified trainers regardless of their location.

What is the duration of the AI-102 program in the USA?

The training runs for 5 days (40 hours). It is designed as an in-depth technical program that covers multiple Azure AI services, development tools, and enterprise AI solution scenarios.

Does the course include hands-on labs and practical exercises?

Yes. The program includes extensive hands-on labs where participants build AI applications, deploy models, create agents, and integrate vision, language, and speech services into working solutions.

Will I receive a certificate after completing the course?

Yes. Upon successful completion, participants receive an official course completion certificate from Vinsys aligned with Microsoft’s authorized training curriculum.

How will this course benefit my career or organization?

This course strengthens technical skills in AI application development and prepares professionals for roles such as Azure AI Engineer or AI Solution Developer. For organizations, it helps teams build secure, scalable, and production-ready AI systems that improve automation, analytics, and digital innovation initiatives.

Why Vinsys

Seasoned Instructors

Official Vendor Partnerships

Authorized Courseware

3,000+ Courses & 2,000+ Modules

In Synch with Tech-advancements

Customizable Blended Learning Options

Reviews

The AI-102 training program at Vinsys in the USA offered a highly immersive experience in building AI solutions on Azure platforms. The instructor explained each concept in a structured and easy-to-understand manner, which made even complex topics approachable. The practical labs clearly demonstrated how different AI services integrate within real enterprise applications. By the end of the course, I felt confident in designing, testing, and deploying AI-driven solutions for business requirements.

Sofia YoungTraining Operations Assistance Analyst

Joining the AI-102 course at Vinsys in the USA proved to be a very valuable professional decision. The sessions were thoughtfully arranged, moving step-by-step from foundational Azure AI services to advanced generative and agent-based implementations. The trainer shared multiple real-world project scenarios that helped me understand how organizations apply AI in production environments. The hands-on activities strengthened my development skills and improved my overall technical confidence.

Skyler BrooksDigital Training Delivery Specialist

My participation in the AI-102 training at Vinsys in the USA was both insightful and practically rewarding. The instructor ensured that every participant clearly understood the tools, SDKs, and workflows before progressing to the next topic. The balanced mix of theory and coding exercises helped me connect concepts with real application development tasks. I particularly appreciated the focus on responsible AI and performance evaluation techniques, which are essential in modern projects.

Lauren HayesMicrosoft Training Content Manager

Attending the AI-102 program at Vinsys in the USA delivered strong learning value in terms of both technical depth and practical application. The training sessions were interactive, well-paced, and supported by meaningful demonstrations that mirrored enterprise scenarios. The coverage of computer vision, speech services, and natural language solutions was detailed yet easy to follow. After completing the course, I feel well prepared to contribute to large-scale AI initiatives and would recommend this program to developers working with Azure AI technologies.

Lily AdamsSenior Microsoft Certified Trainer

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