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What You'll Learn

Validate readiness with 6 full practice exams mirroring the difficulty of the real AI-102 (2026) certification exam.
Master Azure OpenAI solutions including Prompt Engineering
RAG
Fine-tuning and Content Safety filters for modern AI applications.
Architect secure production AI solutions using Managed Identities
Private Endpoints
VNet Integration and Customer-Managed Keys.
Implement and configure core Azure AI services like Vision
Document Intelligence and Speech to solve complex business scenarios.

Requirements

Basic proficiency in C# or Python programming is required to understand SDK code snippets and implement AI solutions.
Familiarity with the Azure Portal and core cloud concepts (resource groups
subscriptions) is essential for the labs.
Understanding of REST APIs and JSON structures to interpret requests and responses from Azure AI service endpoints.
No prior AI experience is required! We will start from the basics of Computer Vision and Generative AI to build your skills.

Description

Are you ready to pass the AI-102: Azure AI Engineer Associate exam in 2026?

The Azure AI landscape has shifted. Traditional cognitive services have evolved into Azure AI Foundry, and the 2026 exam now demands a deep understanding of Generative AI (LLMs), RAG (Retrieval-Augmented Generation), and Autonomous Agents.

This practice test course is meticulously designed to mirror the actual exam’s difficulty, covering the latest 2026 syllabus including Agentic Solutions and Content Safety.

What’s Inside?

This course provides full-length, high-quality practice exams and domain-specific quizzes to ensure you are 100% prepared. Each question includes a detailed explanation and links to official Microsoft documentation.

2026 Exam Domains Covered:

Plan and Manage Azure AI Solutions (20-25%): Resource management in Azure AI Foundry, security (RBAC/Key Vault), and Responsible AI governance.
Implement Generative AI Solutions (15-20%): Mastering Azure OpenAI, Prompt Flow, RAG patterns and model fine-tuning.
Implement Agentic Solutions (5-10%): [NEW FOR 2026] Building autonomous agents with Microsoft Agent Framework and multi-agent orchestration.
Knowledge Mining & Information Extraction (15-20%): Azure AI Search, vector stores, semantic ranking and Document Intelligence.
Natural Language Processing (15-20%): Sentiment analysis, CLU (Conversational Language Understanding) and Speech-to-Text/Text-to-Speech.
Computer Vision Solutions (10-15%): Image analysis, OCR and Video Indexer.

Why This Course?

Up-to-Date: Every question is reviewed for the latest Azure AI Foundry branding and service updates.
Detailed Explanations: We don’t just tell you what the right answer is; we explain why the distractors are wrong.
Realistic Scenarios: Practice with case studies and complex, multi-service architecture questions just like the real exam.
Coding Snippets: Includes Python and C# code challenges that test your ability to use the Azure AI SDKs and REST APIs.

Who is this for?

Developers preparing for the AI-102: Azure AI Engineer Associate certification.
Engineers wanting to validate their skills in Generative AI and Agentic workflows.
Cloud Professionals who want to stay current with the 2026 Microsoft Azure AI roadmap.

Who this course is for:

Software Developers and Engineers looking to build AI-infused applications using C# or Python and integrate pre-built Azure AI services.
Aspiring Azure AI Engineers who want to master the 2026 curriculum and pass the AI-102 certification exam on their first attempt.
Solution Architects responsible for designing secure
scalable
and responsible AI infrastructure within the Azure cloud ecosystem.
Data Scientists who need to deploy models into production or leverage Azure OpenAI and Cognitive Services for intelligent apps.