Microsoft Azure Generative AI Hands-on Project Course 2026

Dive deep into the world of AI with this comprehensive hands-on session on Azure Computer Vision! In this video, you'll learn how to set up and configure Azure Computer Vision from the portal, retrieve keys and endpoints, and seamlessly embed them into your code from a Git repository. Watch as we analyze several images to detect objects and assign relevant tags with the power of Azure's state-of-the-art technology.

What Students Will Learn:

1. Azure Portal Configuration: Learn how to create and configure Azure Computer Vision services directly from the Azure portal.

2. Key and Endpoint Management: Understand how to retrieve and securely integrate keys and endpoints into your code for seamless execution.

3. Code Integration: Gain hands-on experience embedding Azure Computer Vision into a real-world project using a Git repository.

4. Image Analysis: Develop skills in analyzing images for object detection and tagging with precision using Azure’s AI capabilities.

5. End-to-End Architecture: Build an entire image classification solution from scratch, covering all essential aspects from setup to implementation.

Why This Is Important in the IT Industry:

1. Enhanced Productivity: AI-driven solutions like image classification reduce manual effort and improve operational efficiency in industries such as retail, healthcare, and security.

2. High Demand for AI Expertise: With the increasing adoption of AI, understanding Azure’s AI tools is a valuable skill that IT professionals can leverage in their careers.

Unlock the power of Azure Language Service in this hands-on tutorial! Learn how to create and configure the service from scratch, including setting up keys and endpoints seamlessly within Visual Studio using C#. Dive into building a cutting-edge application capable of identifying sentiments in text samples and performing aspect-based sentiment analysis.

What will you learn :

1. How to set up and configure Azure Language Service from scratch.

2. Understanding end-to-end architecture diagrams and their role in sentiment analysis applications.

3. Creating a C# application for sentiment analysis using Visual Studio.

4. Techniques to identify overall sentiment expressed in text samples.

5. Performing aspect-based sentiment analysis to gain deeper insights into text data.

6. Configuring keys and endpoints for seamless integration with Azure Language Service.

7. Practical skills to leverage Azure’s AI-powered capabilities in real-world scenarios.

8. Best practices for working with Azure and C# to build powerful, scalable applications.

Dive into the world of Azure Document Intelligence with this comprehensive hands-on tutorial! Learn how to harness the power of Azure Document Intelligence Studio and Visual Studio to analyze and extract details from diverse documents, including:

1. Hand-written notes,

2. Multilingual German newspapers,

3. Invoices containing QR codes and barcodes.

This tutorial covers:

1. Creating an Azure Document Intelligence resource from scratch.

2. Using Azure Document Intelligence Studio for advanced document analysis.

3. Developing custom code with Visual Studio to detect and analyze online PDFs via URL links using Azure keys and endpoints.

By the end, you'll master document analysis and automation using Azure Document Intelligence, boosting productivity and efficiency! Perfect for developers, AI enthusiasts, and tech learners. Get started today!

In this hands-on video, you'll harness the power of Azure AI to extract hidden text from images, PDFs, and even handwritten documents—all using a Azure multi-service account. Starting from scratch, you’ll configure an Azure AI multi-service account in the Azure portal, then dive into Python development with Visual Studio to build a fully functional text extraction application. You’ll:

1. Set up environment variables for seamless integration

2. Write Python code to implement AI-powered OCR

3. Install and manage Python libraries using commands

4. Extract structured & unstructured text with precision

By the end of this video, you’ll be equipped with the skills to automate text extraction from various formats, boosting efficiency and accuracy in real-world applications. Join today and start unlocking hidden insights with AI!

Unlock the power of Azure Content Safety in this hands-on tutorial. Learn how to build a Python application from scratch to detect self-harm, sexual, hate, or violent speech using Azure Content Safety. We'll guide you through setting up Azure Content Safety via the Azure Portal, noting keys and endpoints, and configuring them using environment variables in Visual Studio—so your app can seamlessly fetch and analyze results.

What you'll learn:

1. How to create Azure Content Safety from scratch using the Azure Portal

2. How to obtain and configure keys & endpoints for secure access

3. How to integrate Azure Content Safety with Python

4. How to set up environment variables for seamless connection

5. How to use Visual Studio to test and optimize your detection model

Best practices for detecting and filtering harmful speech

Whether you're a beginner or an advanced developer, this tutorial will help you enhance content safety in your applications. Get started today!

Unlock the power of Azure AI Translator with this hands-on tutorial Learn how to detect and translate text from any language into English using Python and Azure’s robust translation service.

What’s inside:

1. Step-by-step guide to creating an Azure Translator Service from scratch in the Azure portal

2. Setting up API keys and configuring the correct region in Visual Studio

3. Hands-on demonstration analyzing 5 input files in different languages using Python

4. Detecting the original language and converting text seamlessly into English Whether you’re a developer, student, or AI enthusiast, this tutorial will give you the tools to integrate language translation into your applications.

What students will learn:

1. How to set up and configure Azure Translator Service

2. API integration with Visual Studio for seamless translation

3. Automating language detection and translation using Python

4. Handling multiple languages efficiently

5. Real-world applications of Azure AI Translator in various industries

This tutorial is perfect for beginners and advanced learners alike.

In this hands-on tutorial, we dive deep into Azure Speech Service—creating and configuring it from scratch to convert recorded .wav audio files from English into multiple languages, including French, Spanish, Hindi, German, Italian, Japanese, Portuguese, Russian, and Arabic.

Key Highlights:

• Setting up Azure Speech Service step-by-step

• Configuring API keys & region in Microsoft Visual Studio

• Running Python code to test language conversion

• Live demo with languages like Hindi, French, Spanish & Arabic

This tutorial is perfect for developers, AI enthusiasts, and anyone looking to harness Azure AI Speech-to-Text for real-world applications!

Want to build a Python app that tells you the current time using Azure Speech Service? In this step-by-step tutorial, you'll learn how to:

· Create & Configure Azure Speech Service using the Azure Portal.

· Integrate Azure Speech Service into Visual Studio 2022 using service keys & region settings.

· Install the necessary SDKs via the Visual Studio terminal.

· Write the complete Python application code from scratch.

· Use voice input via a microphone or upload an audio file from your local computer.

· Experience real-time speech output, as the app guides you through each step using your computer speaker—right up to announcing the current time!

By the end of this tutorial, you'll have a fully functional voice-powered Python app connected to Azure Cloud. Whether you're new to Azure or looking to expand your cloud-based speech processing skills, this hands-on tutorial is perfect for you!

Unlock the power of Azure Speech Service and create a multi-lingual speech translator app in this hands-on tutorial!

What You’ll Learn:

· Set up Azure Speech Service using Azure Portal

· Configure service keys & location in Visual Studio 2022

· Build Python logic for seamless speech translation

· Install necessary SDKs via Visual Studio Terminal

· Accept input via microphone or pre-recorded audio

· Interactively select the target language (Italian, French, German, Spanish)

· Convert speech and recite translations via computer speakers & on-screen text

Whether you're a developer, AI enthusiast, or beginner, this tutorial makes multi-lingual AI simple & exciting!

Unlock the power of Azure AI Search with this step-by-step hands-on tutorial! Whether you're an Azure beginner or looking to sharpen your skills, this guide walks you through deploying and configuring Azure AI Search using ARM Templates and Azure Portal.

What’s Inside ?

• ARM Template Deployment: Learn how to use a JSON ARM template to set up Azure AI Search

• Deep Dive into ARM Components: Understand each element in the template

• Azure Cloud Shell & PowerShell Commands: Upload & execute the deployment in Azure

• Azure Portal Deployment: A no-code way to set up AI Search manually

What You’ll Learn:

1. Deploy Azure AI Search using ARM templates

2. Understand the structure of an ARM template JSON file

3. Upload ARM templates via Azure Cloud Shell

4. Execute deployment using PowerShell commands

5. Configure and set up Azure AI Search manually via Azure Portal

6. Gain hands-on experience with Azure resource management

Unlock the power of Azure AI Search with this step-by-step hands-on tutorial! Whether you're an Azure beginner or looking to sharpen your skills, this guide walks you through deploying and configuring Azure AI Search using Bicep Templates and Azure Portal.

What’s Inside ?

• Bicep Template Deployment: Learn how to use a Bicep template to set up Azure AI Search

• Deep Dive into Bicep Components: Understand each element in the template

• Azure Cloud Shell & PowerShell Commands: Upload & execute the deployment in Azure

  
  

  
  

What You’ll Learn:

1. Deploy Azure AI Search using Bicep templates

2. Understand the structure of an Bicep template file

3. Upload Bicep templates via Azure Cloud Shell

4. Execute deployment using PowerShell commands

In this hands-on tutorial, we explore Azure Computer Vision’s Read API and demonstrate how to extract text from images along with its bounding box coordinates! Whether you're working with scanned documents or street signs, this feature helps identify text locations precisely.

What You'll Learn:

· How to use Azure OCR Read API

· Extract text with bounding box coordinates

· Real-world applications in AI & automation

· How to use Optical Character Recognition (OCR) feature using Azure portal

· How to programmatically build an Optical Character Recognition (OCR) app in visual studio

Watch now and unlock the power of AI-driven text recognition!

Want to deploy an Azure AI Health Bot using CLI ?

· In this hands-on tutorial, we walk through the az commands needed to:

· Create an Azure AI Health Bot

· List all Health Bots in a Resource Group

· View details of a specific Health Bot

· Verify the created bot by exploring it in the Azure portal

Follow along as we execute commands step-by-step and explore the deployed bot inside the Azure portal. Perfect for developers, cloud enthusiasts, and anyone working with AI-driven healthcare solutions!

Want to create a powerful Azure AI Health Bot ? This step-by-step tutorial guides you through building and configuring an Azure Healthcare Agent Service from scratch using the Azure portal.

1. Set up and configure Azure Healthcare Agent Service

2. Create a new healthcare scenario

3. Add conversational elements to enhance chatbot interactions

4. Demonstrate real-time customer engagement for healthcare queries

5. Test and validate chatbot functionality with comprehensive test cases

By the end of this tutorial, you'll have a fully functional healthcare chatbot ready to assist users with medical queries. Whether you're a developer, AI enthusiast, or healthcare professional, this guide will make it easy to implement a smart AI-driven solution.

Unlock the power of Azure AI Search Semantic Ranker to refine search results with intelligent ranking and language understanding! Using Azure’s hotel sample data, this hands-on guide walks you through the setup and implementation of semantic ranking—improving search accuracy, understanding user queries better, and delivering meaningful results. Perfect for those looking to optimize hotel search experiences using AI-driven search enhancements.

Ready to supercharge your data science workflow? In this hands-on tutorial, we walk you through deploying an Ubuntu Data Science Virtual Machine (DSVM) using an Azure Resource Manager (ARM) template (JSON file)!

What you'll learn:

· Deploy DSVM effortlessly using an ARM template

· Set up native SSH access via Azure Portal

· Generate SSH key pairs & enable Just-In-Time (JIT) access

· Execute essential Linux commands (uname –a, lsb_release –a, lscpu, free -h) from Windows Command Prompt

Whether you're an aspiring data scientist or an Azure enthusiast, this step-by-step guide makes cloud computing simple and accessible!

Learn how to harness Azure Language Service in .NET for text analytics and healthcare entity recognition! In this hands-on tutorial, we'll guide you step by step through setting up Azure Text Analytics, integrating it with C# .NET, and analyzing medical text dynamically. Perfect for developers looking to build AI-powered applications using Azure Cognitive Services!

What you’ll learn:

· Setting up Azure Language Service

· Writing C# code for AI-based healthcare text analysis

· Extracting entities, relationships & medical terms using AI

· Handling user input dynamically

· Deploying & testing the project in Visual Studio

Unlock the power of AI-driven image classification with Azure Custom Vision! In this hands-on tutorial, we'll start from scratch and guide you through creating, configuring, and training a custom vision model using Azure Portal.

· Setting up Azure Custom Vision for a new classification project

· Uploading sample images of tools like pliers, hard caps, screwdrivers, and hammers

· Training and testing the model using local images

· Evaluating the accuracy of tool identification with Azure AI

Whether you're an AI enthusiast or a developer looking to integrate vision-based AI, this step-by-step tutorial will help you master custom image classification with Azure Custom Vision.