Microsoft Azure AI Engineer Associate Certification and Training
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The Microsoft Certified: Azure AI Engineer Associate (AI-102) certification validates your ability to build, deploy, manage, and monitor Artificial Intelligence solutions on Microsoft Azure.
Designed for AI engineers, software developers, cloud professionals, and data professionals, this certification focuses on developing intelligent applications using Azure AI Foundry, Azure OpenAI Service, Azure AI Services, Retrieval-Augmented Generation (RAG), AI Agents, Computer Vision, Natural Language Processing (NLP), Document Intelligence, Speech AI, and Responsible AI.
Our instructor-led training combines theory, live demonstrations, hands-on labs, real-world AI projects, and exam-focused preparation to help learners build production-ready AI solutions using Microsoft's latest AI ecosystem.
AZURE AI CERTIFICATION BENEFITS
- Microsoft globally recognized certification
- Learn Generative AI application development
- Build AI solutions using Azure OpenAI Service
- Create AI-powered chatbots and copilots
- Develop Retrieval-Augmented Generation (RAG) applications
- Deploy intelligent document processing solutions
- Build Computer Vision and NLP applications
- Gain hands-on experience with Azure AI Foundry
- Prepare confidently for the AI-102 certification exam
KEY TOPICS COVERED
- Azure AI Foundry
- Azure OpenAI Service
- Prompt Engineering
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI Agents
- Azure AI Search
- Azure AI Vision
- Document Intelligence
- Natural Language Processing
- Speech Services
- Language Understanding
- Responsible AI
- AI Security
- AI Solution Deployment
- Azure AI SDKs
- AI Monitoring
- AI Governance
LEARNING OUTCOMES
After completing this training, you will be able to:
- Design and implement AI solutions on Azure.
- Build Generative AI applications using Azure OpenAI.
- Create Retrieval-Augmented Generation (RAG) systems.
- Develop AI Agents and conversational AI solutions.
- Build Computer Vision applications.
- Process documents using Azure AI Document Intelligence.
- Implement Speech AI and NLP solutions.
- Apply Responsible AI principles.
- Deploy and monitor enterprise AI applications.
- Prepare confidently for the Microsoft AI-102 certification exam.
WHO SHOULD ATTEND
- AI Engineers
- Software Developers
- Cloud Engineers
- Azure Administrators
- Machine Learning Engineers
- Data Engineers
- Data Scientists
- Solution Architects
- DevOps Engineers
- IT Professionals interested in Generative AI
PREREQUISITES
Microsoft recommends:
- Basic understanding of Azure services
- Experience with Python or C#
- Familiarity with REST APIs
- Basic AI and Machine Learning concepts
- Knowledge of Azure Portal and Azure Resource Management
Prior AI experience is helpful but not mandatory.
Module 1 – Introduction to Azure AI
- AI Fundamentals
- Azure AI Services Overview
- Azure AI Foundry
- Azure AI Studio
- Responsible AI Principles
Module 2 – Azure OpenAI Service
- Azure OpenAI Models
- GPT Models
- Prompt Engineering
- Chat Completions API
- Embeddings
- Image Generation
- Content Filtering
Module 3 – Generative AI Applications
- Building AI Chatbots
- AI Copilots
- AI Assistants
- AI Workflow Automation
- Semantic Kernel Basics
Module 4 – Retrieval-Augmented Generation (RAG)
- Vector Search
- Embeddings
- Azure AI Search
- Knowledge Retrieval
- Grounding AI Responses
Module 5 – AI Agents
- Agentic AI Concepts
- Multi-Agent Workflows
- Tool Calling
- Function Calling
- AI Orchestration
Module 6 – Natural Language Processing
- Language Detection
- Sentiment Analysis
- Entity Recognition
- Key Phrase Extraction
- Text Summarization
- Translation
Module 7 – Computer Vision
- Image Analysis
- Object Detection
- OCR
- Face Detection
- Image Captioning
- Video Analysis
Module 8 – Azure AI Document Intelligence
- Invoice Processing
- Receipt Extraction
- Identity Documents
- Custom Models
- Form Processing
Module 9 – Speech AI
- Speech-to-Text
- Text-to-Speech
- Speech Translation
- Speaker Recognition
- Voice Applications
Module 10 – AI Security & Responsible AI
- Responsible AI
- Fairness
- Explainability
- Privacy
- AI Governance
- Content Safety
Module 11 – Deploying Azure AI Solutions
- Azure AI SDK
- REST APIs
- Azure App Service
- Azure Functions
- Container Deployment
- Monitoring AI Applications
Module 12 – AI-102 Exam Preparation
- Practice Questions
- Hands-on Labs
- Mock Exams
- Case Studies
- Microsoft Best Practices
- Exam Strategy
COURSE FEATURES
- Latest Microsoft AI-102 Aligned Curriculum
- Instructor-Led Live Training
- Hands-on Azure AI Labs
- Azure OpenAI Service Projects
- RAG & AI Agent Development
- Real-World AI Case Studies
- Mock Tests & Practice Questions
- Exam Preparation Guidance
- Course Completion Certificate
- Lifetime LMS Access*
- Mentor Support
As artificial intelligence becomes a core driver of digital transformation, organizations are increasingly adopting AI-powered solutions to automate processes, enhance customer experiences, and gain valuable business insights. The Microsoft Azure AI Engineer Associate certification is highly valued for professionals who design, build, and deploy AI solutions using Microsoft Azure AI services.
With the rapid growth of generative AI, machine learning, natural language processing (NLP), computer vision, and conversational AI, demand for Azure AI professionals is rising across industries such as IT, healthcare, finance, retail, manufacturing, and government. Earning the Microsoft Azure AI Engineer Associate certification validates your expertise in developing, managing, and deploying AI solutions on Azure. It also opens career opportunities such as AI Engineer, Machine Learning Engineer, Azure AI Developer, Cognitive Services Engineer, Data & AI Consultant, and Cloud AI Solutions Architect, making it a valuable credential for professionals pursuing a career in artificial intelligence and cloud technologies.
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