Microsoft

AI-102: Develop AI solutions in Azure

Equip developers to design, build, and deploy end-to-end AI solutions using Azure AI services for vision, language, search, and generative AI.

Next Dates

Course Details

Level
Advanced
Duration
35 hours
Certifications
AI-102: Develop AI Solutions with Azure
Coming Soon
Next Dates
About this course
What you'll learn
Our Instructors

The Develop AI solutions in Azure training equips developers to build end-to-end AI solutions using Azure AI services. It covers planning, designing, implementing, and deploying applications that use vision, language, search, agents, and generative AI. Participants gain hands-on experience with SDKs, REST APIs, model deployment, responsible AI practices, and solution optimization.

Develop Generative AI apps in Azure
7 hours
Module 1

This module teaches you how to design and build custom copilots using Azure AI Studio. You’ll work with generative models, prompt flows, system instructions, grounding with enterprise data, and evaluation methods to ensure your copilot behaves reliably and securely in production.

  • Azure AI Studio / AI Foundry overview
  • Model selection and configuration
  • Prompt engineering & system instructions
  • Prompt Flow orchestration
  • Grounding copilots with enterprise data
  • Copilot testing, evaluation, and deployment
Develop AI Agents on Azure
7 hours
Module 2

Learn the foundations of AI agents, including reasoning, goal-setting, tool usage, memory, and orchestration. You’ll build agents using Azure AI Agent resources and Semantic Kernel, test their behavior, and prepare them for secure deployment and monitoring in Azure environments.

  • Agent architecture and core concepts
  • Azure AI Agent Service / Foundry tools
  • Defining goals, actions, and memory
  • Implementing agents with Semantic Kernel
  • Testing and monitoring agent workflows
  • Security, scalability, and lifecycle management

Natural language solutions in Azure
7 hours
Module 3

This module covers Azure AI Language services to build NLP solutions. You’ll analyze text, create classification and entity extraction models, build question-answering capabilities, design conversational understanding models, and integrate translation or speech features into applications.

  • Text analytics (sentiment, key phrases, entities)
  • Q&A knowledge bases
  • Conversational language understanding
  • Custom classification and extraction models
  • Translation and multilingual workflows
  • Speech integration

Computer Vision Solutions in Azure
7 hours
Module 4

Build computer vision solutions using Azure AI Vision and related services. Topics include image analysis, OCR, facial detection/recognition, training custom image classifiers and object detectors, and extracting metadata and insights from video using Azure Video Indexer.

  • Azure AI Vision setup
  • Image tagging and object detection
  • OCR for text extraction
  • Face detection & responsible usage
  • Custom image classification/object detection
  • Video indexing and insights

AI Information Extraction Solutions in Azure
7 hours
Module 5

Learn to extract structured information from documents and unstructured content using Azure AI Document Intelligence, Content Understanding, and Azure AI Search. You’ll automate data extraction, enrich documents, and design knowledge-mining experiences for enterprise search scenarios.

  • Document Intelligence fundamentals
  • Process forms, invoices, structured documents
  • Content understanding for unstructured data
  • Data enrichment pipelines
  • Indexing with Azure AI Search
  • Knowledge mining and automation

The full learning objectives will be shared shortly. Stay tuned for more information.

Meet your instructors

Pick your Start Date

Our courses run throughout the year and in different regions to give you flexibility and options. Select the start date and location that fit your schedule and take the next step toward your new skills and career goals.

Starting date:
This course doesn't have available dates right now. Please, contact our Training Team
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.