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Microsoft DW-201 - Building and Modernising AI Apps on Azure Workshop

Length 4 day

Course overview

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Why study this course

This workshop provides a comprehensive introduction to developing applications using Azure AI services, DevOps practices, and database solutions. Students will explore building, deploying, and securing applications on Azure while gaining hands-on experience through labs. The course emphasises responsible AI practices and the Well-Architected Framework to ensure robust and efficient application design.

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What you’ll learn

After completing this course, students will be able to:

Understand Azure AI Services and responsible AI practices
Plan and deliver applications using GitHub
Build and deploy applications using Azure App Service and Azure Kubernetes Service (AKS)
Deploy Azure Cosmos DB service for an app to store and access data
Use Azure AI Services including speech, language, and vision capabilities
Use decision-making tools like anomaly detection and content safety
Implement Azure Key Vault for secure access and Azure AD for authentication and authorisation.

Microsoft Azure at Lumify Work

Lumify Work has been delivering effective training across all Microsoft products for over 30 years. We are proud to be both Australia's and New Zealand’s first Microsoft Gold Learning Solutions Partner and the winner of the Microsoft MCT Superstars Award for FY24, which formally recognises us as having the highest quality Microsoft Certified Trainers (MCTs) in ANZ. All Lumify Work Microsoft Azure courses follow Microsoft Official Curriculum (MOC) and are led by MCTs.

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Who is the course for?

Developers
DevOps Engineers
Data Engineers
IT Professionals

Course subjects

Module 1: Introduction to AI Apps

Azure AI Services
Responsible AI
Well-Architected Framework
DevOps and Security

Module 2: DevOps with GitHub

Plan
Deliver
Test
Operate and Secure

Module 3: Building and deploying apps on Azure

Azure App Service
Azure Kubernetes Service (AKS)
Azure Functions

Hands on Labs

Creating and deploying a web app using Azure App Service
Autoscaling the web app by using custom metrics
Containerising and migrating to the Azure Kubernetes Service
Creating a function app in Azure

Module 4: Azure Data Services

Azure SQL Database
Azure Database for PostgreSQL

Module 5: Globally distributed databases

Introduction to Azure Cosmos DB
Choosing the appropriate API
Data Modeling
Partitioning

Hands on Labs

Integrating Azure SQL Database into a web app
Deploy Azure Cosmos DB service for an app to store and access data

Module 6: Azure AI Services

Introduction and Use cases
Speech services
Language services
Vision
Decision: Anomaly Detector
Decision: Content Safety

Module 7: Azure OpenAI Service

Key concepts and models
Prompt Engineering
Embeddings and filtering
Codex and code generation

Hands on Labs

Recognising and translating speech to text using speech translation service
Recognising intents with Conversational Language Understanding (CLU)
Generating e-mail content using Azure OpenAI service
Utilising prompt engineering using Chat GPT
Moderating text and image content using Azure AI Content Safety Studio

Module 8: Well-Architected Framework

Reliability
Security
Cost optimisation
Operational Excellence
Performance Efficiency

Module 9: Security

Azure Key Vault
Authentication and authorisation with Azure AD (Entra ID)

Hands on Labs

Securing App Service connection to Cognitive Service using Azure Key Vault
Configuring your App Service or Azure Functions app to use Entra ID login

Prerequisites

Basic understanding of cloud computing concepts
Familiarity with programming
Experience with database concepts is beneficial

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.