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

The AI-102T00: Designing and Implementing a Microsoft Azure AI Solution course trains software developers to build intelligent applications using Azure AI Services, Azure OpenAI Service, and Azure AI Search. This 32-hour course covers natural language processing, computer vision, generative AI, knowledge mining, and conversational AI using both C# and Python. Esamatic srl, a Microsoft Learning Partner in Milan, delivers this course with Microsoft Certified Trainers specializing in artificial intelligence and cloud development.

• AI-102 Certification: preparation for the Azure AI Engineer Associate exam
• Azure AI Services: Computer Vision, Custom Vision, Face API, Speech Services, Language Understanding, and Translator
• Azure OpenAI Service: integrating GPT models, embeddings, and DALL-E for enterprise generative AI applications
• Azure AI Search: implementing intelligent search with cognitive skills, custom skillsets, and knowledge mining
• Conversational AI: building chatbots and virtual agents with Azure Bot Service and Language Service

Course Overview: AI-102T00 Azure AI Engineer

Azure AI Services provide pre-built and customizable AI models that enable developers to add vision, speech, language, and decision-making capabilities to applications without deep machine learning expertise. The AI-102 certification validates the ability to design and implement AI solutions that leverage the full Azure AI platform.

Learning Objectives

1. Plan and manage Azure AI solutions — select appropriate AI services, manage resources, implement responsible AI principles, and design secure AI architectures
2. Implement computer vision solutions — analyze images, detect objects and faces, read text with OCR, and build custom vision models for classification and object detection
3. Implement natural language processing — extract key phrases, detect entities, analyze sentiment, build language understanding models, and implement machine translation
4. Implement knowledge mining with Azure AI Search — create search indexes, implement cognitive skills pipelines, build custom skillsets, and deploy intelligent search experiences
5. Implement generative AI solutions — integrate Azure OpenAI GPT models, generate embeddings, implement Retrieval Augmented Generation (RAG), and build enterprise chatbots

Who Should Attend

The AI-102T00 course is designed for software developers, AI engineers, and solution architects who build AI-powered applications on Azure. Proficiency in C# or Python and experience with REST APIs are required.

Career Benefits

AI engineering is one of the fastest-growing career fields. The Azure AI Engineer Associate certification positions professionals at the intersection of software development and artificial intelligence, with strong demand across technology, healthcare, finance, and consulting sectors.

Prerequisites

• Proficiency in C# or Python programming
• Experience with REST APIs and JSON
• Understanding of Azure fundamentals (AZ-900 recommended)
• Familiarity with AI and machine learning concepts

Frequently Asked Questions

How to prepare for the AI-102 exam?

The AI-102T00 course provides structured preparation covering all exam objectives. Supplement with hands-on practice using Azure AI Services, Azure OpenAI, and Azure AI Search in a development environment. Microsoft Learn modules and practice assessments are also recommended.

How many questions are in the AI-102 exam?

The AI-102 exam contains approximately 40-60 questions to be completed in 120 minutes. Question formats include multiple-choice, drag-and-drop, case studies, and hands-on lab scenarios.

Is the AI-102 exam difficult?

The AI-102 is an associate-level exam with moderate to high difficulty. It requires practical coding experience with Azure AI services and understanding of AI concepts. Developers with hands-on Azure experience and the AI-102T00 course preparation find it manageable.

How long is the AI-102 exam?

The AI-102 exam duration is 120 minutes (2 hours). The passing score is 700 out of 1000. The exam tests both conceptual knowledge and practical implementation skills.