What you’ll learn
After completing this course, students will be able to:
Use Azure AI Services and Azure AI Studio
Apply prompt engineering with Azure OpenAI Service
Understand embeddings in Azure OpenAI Service
Customise a model with fine-tuning
Monitor usage and implement Responsible AI
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.
Who is the course for?
The audience for this course includes software developers and data scientists who need to use large language models for generative AI. Some programming experience is recommended, but the course will be valuable to anyone seeking to understand how the Azure OpenAI service can be used to implement generative AI solutions.
Course subjects
Module 1: Azure AI Services, Azure AI Studio and Azure OpenAI Service models
Introduction to Azure AI services and LLMs
Azure OpenAI Service
Introduction to Responsible AI
Components and key concepts of Azure OpenAI
Models and capabilities
Azure AI Studio
Managing models
Introduction to prompt engineering
Availability and pricing
Hands on Labs
Provisioning Azure OpenAI resource
Use Azure AI Studio to explore models in playgrounds
Generating images using DALL-E and DALL-E 3
Speech to text conversion using Azure OpenAI Whisper model
Get started using GPT-4 Turbo with Vision on your images and videos in Azure AI Studio
Text to speech with the Azure OpenAI Service
Module 2: Prompt engineering, Embeddings and RAG
Prompt engineering techniques
Understanding embeddings in Azure OpenAI Service
Plugins
Azure AI Search
Full text search
Vector search
Semantic ranking
Retrieval augmented generation - RAG
Semantic Kernel
Hands on Labs
Building a chat app (using Python) using an Azure OpenAI Service and RAG
Chat with your data using RAG Solution accelerator
Extract insights using the Azure AI Language service with Azure Database for PostgreSQL
Translate Text with Azure AI Translator and Azure Database for PostgreSQL
Generative AI with Azure Database for PostgreSQL Flexible Server
Module 3: Azure OpenAI on your data
Customise a model with fine-tuning
Using Azure OpenAI with large datasets
Using your data - text
Using your data - image (preview)
Prompt flow and LLMOps
Provisioned throughput units (PTU)
Using function calling with Azure OpenAI Service (preview)
Azure OpenAI Assistants API (preview)
Hands on Labs
Creating a chat application using your own data residing in PostgreSQL
Q&A with Semantic Answering with Azure OpenAI Service (optional)
Build a chat bot using Azure OpenAI, Azure Cosmos DB for NoSQL and Blazor
Get started using Azure OpenAI Assistants (preview)
Module 4: Monitoring usage and implementing Responsible AI
Introduction to Abuse monitoring, Content filtering, Content Filtering in Azure AI Studio
Configuring Azure OpenAI Service with Managed Identities and Azure Cognitive Services virtual networks
Manage quota
Monitoring Azure OpenAI Service
Planning to manage costs for Azure OpenAI Service
Responsible AI principles and practices for Azure OpenAI
Module 5: Security
Data, privacy, and security for Azure OpenAI Service
Jailbreaking - User Prompt Injection Attacks
Microsoft AI Red Team
Azure OpenAI Service encryption of data at rest
Hands on Labs
Creating a web app and your own copilot with custom data using Azure OpenAI Service
Contoso Chat Retail with Azure AI Studio and Promptflow
Moderate text and images with content safety in Azure AI Studio
Azure OpenAI GPT 3.5 Turbo fine-tuning
Enabling advanced data analytics on business database and answering questions using Azure OpenAI Service (optional)
Prerequisites
Before attending this course, students should have:
FREE E-BOOK: The New Era of Cloud Computing
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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.
