AI-102 Azure AI Engineer: OpenAI, Vision, Language & Agents

Build AI solutions using Azure OpenAI, Vision, Language, Speech, AI Search, Agents, and Semantic Kernel

Created bySandeep Soni

Last updated 3/2026

English

What you'll learn

Design AI solutions using Azure AI services
Build applications using Azure OpenAI models
Provision and configure Azure AI resources
Integrate AI services using REST APIs and SDKs
Build natural language processing solutions
Implement speech recognition and synthesis

Course content

10 sections • 42 lectures • 21h 50m total length

Introduction25:17
Provisioning Azure AI Services14:03
Provisioning Azure AI Services Part 224:04
Using REST API17:22
Learn to access Azure AI cognitive services with REST API, obtain endpoints and keys, and build a console app in C#, then compare REST with SDK workflows.
Using AI Services SDK8:11

Analyzing Caption, Dense Caption and Tags27:07
Analysing Objects10:32
Analyzing for People and Smartcrops16:43
Reading Text from Image OCR10:23
Read text from images using optical character recognition, converting handwritten and printed text into a digitized document. Explore json with a lines array and bounding rectangle data.
Use Case of AI6:50
Custom Vision Training and Prediction43:18
Face API44:48
Explore the face API as part of the azure ai engineer course on OpenAI, vision, language, and agents.

Introduction to Search Service30:16
Importing Data from Data Source into Index Using Indexer and Skillset32:08
Master the enrichment pipeline to import data into Azure search using data sources, skill sets (language detection, OCR, merge), and an indexer to build and query the index.
Explore and modify definitions of search components17:14
Building a search client27:05
Build a practical search client in a C# console app using Azure search, configure appsettings, query an index, apply filters, and customize results with a typed document.
Building a Custom Skill to skillset28:34
Creating knowledge store29:15

Overview of Agentic AI Framework1:05:27
Explore the agentic AI framework within the Azure AI Engineer context, showing how OpenAI, vision, language, and agents integrate to power capable intelligent systems.
Agentic Prompt31:41
Options for Agent Development3:33
Explore agent development options from low-code platforms like Co-Pilot Studio and Microsoft 365 agent SDKs to frameworks such as Semantic Kernel, Autogen, and LangChain.

Requirements

Basic knowledge of cloud computing
Familiarity with Azure fundamentals
Basic programming knowledge in C# or Python
Understanding of REST APIs

Description

This course prepares developers and AI engineers to design and implement AI solutions on Microsoft Azure while preparing for the AI-102 Designing and Implementing a Microsoft Azure AI Solution certification.

Modern applications increasingly rely on artificial intelligence to understand language, analyze images, generate content, and automate complex workflows. In this course, you will learn how to build intelligent applications using Azure AI services, including Azure OpenAI Service, Azure AI Vision, Azure AI Language, and Azure AI Speech.

You will start by understanding Azure AI services architecture and how to provision and interact with these services using REST APIs and SDKs. The course then explores OpenAI models in Azure, including prompt execution and application integration.

You will also work with the Azure AI Foundry platform, where you will learn how to create AI projects, deploy models, and build applications that connect AI resources and services.

The course then covers real-world AI workloads such as computer vision, natural language processing, speech recognition, and knowledge mining using Azure AI Search. You will also explore modern AI application architectures including agent-based AI systems and orchestration frameworks like Semantic Kernel.

By the end of this course, you will be able to design and implement production-ready AI solutions on Azure, making it ideal for developers preparing for the AI-102 certification and professionals building enterprise AI applications.

Who this course is for:

Developers building AI applications
Azure AI Engineers
Cloud engineers working with Azure AI
Software engineers implementing AI solutions
Professionals preparing for the AI-102 certification

AI-102 Azure AI Engineer: OpenAI, Vision, Language & Agents

What you'll learn

Explore related topics

Course content

Azure AI Introduction5 lectures • 1hr 29min

Working with OpenAI Models3 lectures • 1hr 1min

Azure AI Foundry6 lectures • 2hr 59min

Vision Service7 lectures • 2hr 40min

Azure AI Language Service4 lectures • 2hr 13min

Azure AI Speech2 lectures • 48min

Knowledge Mining6 lectures • 2hr 45min

Foundations and Agent Development3 lectures • 1hr 41min

Azure AI Foundry Agent Service4 lectures • 4hr 33min

Semantic Kernel2 lectures • 1hr 43min

Requirements

Description

Who this course is for: