Introduction to Generative AI on Azure Cloud

Unleashing the Power of Azure for Advanced Generative AI Solutions

Duration

3 Days (3.5 hours per day)

Level

Basic Level

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This intensive 3-day course is designed to equip participants with the knowledge and practical skills needed to implement Generative AI solutions on the Azure Cloud Platform. Throughout the course, participants will delve into the fundamentals of Generative AI, focusing on the implementation of the Retrieval Augmented Generative (RAG) model. By the end of the course, participants will be adept at setting up Azure environments, training and deploying RAG models, and integrating them with Azure OpenAI for real-world applications.

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Data scientists
Machine learning engineers
Developers interested in implementing Generative AI solutions on Azure platform

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Introduction to Generative AI

Introduction to Generative AI
Evolution of Generative AI
How Generative AI Differs from Other AI Technologies
Exploring the Generative AI Value Chain
Current Trends in Generative AI including ChatGPT
Demos to give broader perspective about Bard, ChatGPT, MidJourney and more

Introduction to Azure Cloud Platform

Overview of Azure services relevant to Generative AI
Setting up Azure account and accessing Azure Portal
Introduction to Azure Machine Learning service

Understanding RAG (Retrieval Augmented Generative) Model

Overview of RAG model architecture and components
Exploring use cases for RAG in natural language processing tasks

Setting Up Azure Environment for RAG Implementation

Creating Azure Machine Learning workspace
Provisioning compute resources for model training and deployment
Configuring Azure resources for data storage and management

Implementing RAG Model on Azure

Preprocessing data for RAG model training
Training RAG model using Azure Machine Learning service
Evaluating model performance and fine-tuning parameters

Introduction to Azure OpenAI Integration

Overview of Azure OpenAI service
Working with Azure Playground
Exploring Prompt Engineering with Azure Playground
- Importance of Well-Defined Prompts in Generative AI
- Strategies for Crafting Effective Prompts
Understanding integration options with Azure Machine Learning

Exposing RAG Model on Azure OpenAI

Deploying RAG model as a web service using Azure Machine Learning
Configuring endpoint for model access and interaction
Testing RAG model integration with Azure OpenAI using sample queries

Hands-On Project and Wrap-Up

Hands-on project to implement a custom scenario using RAG model on Azure Cloud Platform
Q&A session and review of key concepts covered throughout the course
Conclusion and next steps for further exploration in Generative AI and Azure integration

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Basic understanding of machine learning concepts and natural language processing
Familiarity with cloud computing concepts (Azure experience is a plus but not required)

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Introduction to Generative AI on Azure Cloud

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