Azure OpenAI equips developers and AI professionals with the knowledge and practical skills to build secure enterprise AI applications using Azure OpenAI Service, GPT models, prompt engineering, and modern Generative AI technologies.

 

Duration 3 Days – 24 hrs.

 

Overview

The Azure OpenAI Training Course is designed to equip professionals with the knowledge and practical skills to build, deploy, and manage AI-powered applications using Microsoft Azure’s OpenAI services.

Participants will learn how to leverage large language models (LLMs), including GPT-based models, within a secure and scalable Azure environment. The course covers prompt engineering, API integration, responsible AI practices, and real-world use cases such as chatbots, automation, and data analysis.

This training emphasizes hands-on implementation, enabling participants to develop enterprise-ready AI solutions aligned with business and compliance requirements.

 

Objectives

• Understand the fundamentals of Generative AI and Large Language Models (LLMs)
• Navigate and configure Microsoft Azure for AI workloads
• Use Azure OpenAI Service to access and deploy OpenAI models
• Design effective prompts for various business use cases
• Build AI-powered applications (chatbots, summarization tools, automation workflows)
• Integrate Azure OpenAI APIs into web and enterprise systems
• Implement responsible AI practices, security, and compliance controls
• Optimize performance, cost, and scalability of AI solutions

 

Target Audience

• Software Developers and Engineers
• Data Analysts and Data Scientists
• AI/ML Engineers and Architects
• IT Managers and Technical Leads
• Business Analysts and Digital Transformation Teams
• Innovation and Product Development Teams

 

Prerequisites

• Basic understanding of programming (Python, JavaScript, or similar)
• Familiarity with APIs and REST services
• Basic knowledge of cloud computing concepts (preferred)
• No prior AI experience required (introductory concepts included)

 

Course Outline

 

Module 1: Introduction to Generative AI and Azure OpenAI

• Overview of Generative AI and LLMs
• Introduction to GPT models and capabilities
• Use cases in enterprise environments
• Overview of Azure OpenAI architecture

 

Module 2: Getting Started with Azure OpenAI

• Setting up Azure subscription and resources
• Accessing Azure OpenAI Service
• Understanding model deployments and endpoints
• Managing API keys and authentication

 

Module 3: Prompt Engineering Fundamentals

• Principles of effective prompting
• Zero-shot, one-shot, and few-shot prompting
• Prompt patterns for business scenarios
• Handling hallucinations and improving output quality

 

Module 4: Building Applications with Azure OpenAI

• Using REST APIs and SDKs
• Creating chatbots and conversational interfaces
• Text generation, summarization, and classification
• Integrating with web apps and enterprise systems

 

Module 5: Advanced Capabilities and Integration

• Embeddings and semantic search
• Retrieval-Augmented Generation (RAG)
• Integration with Azure services (e.g., storage, functions, databases)
• Automating workflows using AI

 

Module 6: Responsible AI, Security, and Compliance

• Responsible AI principles
• Content filtering and moderation
• Data privacy and governance in Azure
• Risk management in AI deployments

 

Module 7: Performance Optimization and Cost Management

• Token usage and cost considerations
• Performance tuning techniques
• Monitoring and logging AI applications
• Scaling AI workloads in Azure

 

Module 8: Hands-On Capstone Project

• Design and build a real-world AI solution
  (e.g., AI chatbot, document analyzer, or automation tool)
• End-to-end implementation using Azure OpenAI
• Presentation and evaluation of solutions