AI-102 Certification

Chetan Gohel - Azure AI Certification Premium
AI-102 Certification

About Course

Embark on the AI-102 journey to master how to design, develop, and deploy AI solutions using Microsoft Azure’s powerful stack. This course provides a structured, hands-on learning path—combining theoretical insights with practical labs—to equip you with the skills needed to implement real-world AI systems.

You’ll explore components like Azure Cognitive Services, Azure OpenAI Service, custom vision, conversational agents, and more. By the end, you'll be confident architecting AI workflows that address complex business problems using Azure's scalable AI ecosystem.

What Will You Learn?

  • Architect end-to-end AI solutions in Azure
  • Create and deploy conversational agents using Azure Bot Service and Azure OpenAI
  • Develop custom computer vision models—e.g., image classification, object detection
  • Leverage speech services for recognition and synthesis (text-to-speech and vice versa)
  • Implement language services: Azure Cognitive Language Services (text analytics, translator, Q&A)
  • Integrate Azure ML and deployment services to operationalize AI workloads

Course Content

  • Plan and Prepare to Develop AI Solutions on Azure

    17:40

  • Choose and Deploy Models from the Model Catalog

    11:38

  • Lab - Choose Deploy Compare Language Models

    19:54

  • Develop an AI app with the Azure AI Foundry SDK

    05:40

  • Lab - Develop an AI App with the Azure AI Foundry SDK

    16:41

  • Develop a RAG-based solution with your own data using Azure AI Foundry

    06:30

  • Lab - RAG with Azure AI Foundry part 1

    24:04

  • Lab - RAG with Azure AI Foundry part 2

    17:08

  • Fine-tune a language model with Azure AI Foundry

    07:53

  • Lab - Fine tuning GPT models in Azure AI Foundry

    26:00

  • Implement a responsible generative AI solution in Azure AI Foundry

    05:26

  • Lab - Content Filter

    19:49

  • Evaluate generative AI performance in Azure AI Foundry portal

    04:58

  • Lab - Evaluate Gen AI Model Performance

    27:09

  • Get started with AI agent development on Azure

    16:49

  • Lab- Get started with AI Agent Development on Azure

    33:46

  • Develop an AI agent with Azure AI Foundry Agent Service

    19:25

  • Lab - Develop an AI agent with Azure AI Foundry Agent Service

    41:03

  • Integrate Custom Tools into your Agent

    09:49

  • Lab - Integrate Custom Tools into your Agent

    22:57

  • Develop an AI agent with the Semantic Kernel SDK

    14:47

  • Lab - Develop an AI agent with the Semantic Kernel SDK

    24:59

  • Orchestrate a Multi-Agent Solution using Semantic Kernel

    07:57

  • Lab - Orchestrate a Multi-Agent Solution using Semantic Kernel

    26:41

  • Analyze text

    12:50

  • Lab - Analyze text

    11:26

  • Conversational understanding and question answering

    22:25

  • Lab - Create a language understanding model with the Language service

    29:47

  • Lab - Create a Question Answering Solution

    22:44

  • Custom classification and named entity extraction

    04:29

  • Lab - Custom classification and named entity extraction

    20:08

  • Speech recognition and synthesis

    08:30

  • Lab - Speech recognition and synthesis

    12:57

  • Translation

    05:26

  • Lab - Audio Enabled Generative AI App

    18:57

  • Analyze Images

    06:00

  • Lab - Analyze Images With Azure AI Vision

    18:24

  • Read text in images

    06:03

  • Lab - Read Text In Images

    16:15

  • Detect, Analyze, and Recognize Faces

    03:57

  • Classify Images and Detect Objects

    03:53

  • Lab - Classify images with a Azure AI Vision custom model

    21:32

  • Develop a vision-enabled generative AI application

    04:01

  • Lab - Vision enabled chat app

    21:37

  • Generate images with AI

    04:57

  • Lab - Develop GenAI App to Generate Images

    20:47

  • Create a Multimodal Analysis Solution with Azure AI Content Understanding

    07:52

  • Lab - Create a Multimodal Analysis Solution with Azure AI Content Understanding

    30:26

  • Create an Azure AI Content Understanding client application

    03:41

  • Lab - Develop a Content Understanding client application

    14:18

  • Extract form Data with Azure Document Intelligence Prebuilt Models

    06:29

  • Lab - Extract form data with Azure Document Intelligence prebuilt models

    19:50

  • Extract form data with Azure Document Intelligence custom models

    07:05

  • Lab - Extract form Data with Azure Document Intelligence Custom Models

    19:49

  • Create a Knowledge Mining Solution with Azure AI Search

    10:48

  • Lab - Create a Knowledge Mining Solution

    26:17
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