Description:

This course teaches developers how to build generative AI applications using Azure OpenAI Service. Participants will learn how to use large language models to create intelligent applications, integrate enterprise data, and implement prompt engineering techniques.

Through demonstrations and hands-on labs, learners will build AI-powered solutions such as chat assistants, document summarization tools, and intelligent search systems.

Duration:

1 Day

Course Code: BDT 550

Learning Objectives:

Participants will learn to:

1. Understand generative AI architecture
2. Use Azure OpenAI models in applications
3. Design effective prompts
4. Build chat-based AI applications
5. Implement Retrieval Augmented Generation (RAG)
6. Deploy AI applications on Azure

1. Basic programming knowledge (Python or JavaScript helpful)
2. Familiarity with APIs and cloud services
3. Basic understanding of AI concepts

Course Outline:

1. Introduction to Generative AI

Topics Covered

1. Overview of generative AI
2. Large language models
3. Common use cases for enterprise AI

2. Overview of Azure OpenAI Service

Topics Covered

1. Azure OpenAI architecture
2. Available models and capabilities
3. Security and enterprise features

Demonstration

Using Azure OpenAI from Azure portal.

3. Prompt Engineering Fundamentals

Topics Covered

1. Prompt structure
2. System vs user prompts
3. Controlling AI output
4. Prompt design strategies

Hands-On Lab

Create prompts to summarize and generate content..

4. Building Chat-Based Applications

Topics Covered

1. Chat completion APIs
2. Maintaining conversation context
3. Designing conversational assistants

Hands-On Lab

Build a simple AI chatbot.

5. Retrieval Augmented Generation (RAG)

Topics Covered

1. Combining AI models with enterprise data
2. Vector search concepts
3. Knowledge grounding

Hands-On Lab

Build an AI assistant that answers questions from documents.

6. Integrating AI with Applications

Topics Covered

1. Using APIs in web applications
2. Integrating AI into business systems
3. Building intelligent copilots

7. Deploying and Monitoring AI Applications

Topics Covered

1. Deploying AI services on Azure
2. Monitoring usage and performance
3. Cost considerations

Training material provided: Yes (Digital format)