Description

Hands-On Session | 2 Hours | Beginner Level

Overview 

In this hands-on lab, you will explore the concept of prompt engineering, learning how to craft effective prompts for AI models. You'll get hands-on experience with Azure OpenAI Playground, experimenting with different types of prompts and understanding their elements and design tips. The way developers shape their prompts significantly impacts the generative AI model's responses, allowing for tailored and formatted content when requested clearly and concisely. You'll learn how different prompts for similar content can shape the AI model's response to better satisfy your requirements.

You will explore how to use generative AI to improve advertising emails and categorize articles for your team. The prompt engineering techniques used in the exercise are applicable to various use cases. Tuning prompts to achieve the desired results is the core idea behind prompt engineering. 

Objective 

By the end of this lab, you will be able to: 

📌  Introduction to Prompt Engineering & Azure OpenAI Studio: Learn to craft effective prompts for AI models using Azure OpenAI Playground, experimenting with different types and design tips. This hands-on experience will help you understand how different prompt styles influence AI responses and improve your results. 

📌 Utilize prompt engineering in your app: Provision an Azure OpenAI resource, deploy a model, apply prompt engineering in the chat playground, set up and configure an application in Cloud Shell, and run your application to see the results. 

📌 Advanced Concepts (Read-Only): Master the art of tuning prompts to achieve specific outcomes and explore advanced methods for refining AI outputs, all without the need for fine-tuning GPT models. Learn how to leverage prompt adjustments and design techniques to enhance model responses effectively. 

📌 Fine Tuning (Read-Only): Master prompt engineering using Azure OpenAI Playground to refine AI responses, tailoring outputs for specific tasks such as enhancing advertising emails and categorizing articles.

Pre-requisites 

Participants should have: 

- Familiarity with Azure OpenAI Service. 

- Prompt Engineering Basics 

Architecture 

In this hands-on lab, you'll delve into prompt engineering by first grasping the basics and its impact on AI responses. You'll then gain practical experience using Azure OpenAI Playground, experimenting with various types of prompts, and learning their design elements and tips. As you explore how to tailor prompts for improving advertising emails and categorizing articles, you'll see how effective prompt engineering can shape AI model outputs to meet specific requirements. The lab emphasizes how tuning prompts are crucial for optimizing AI responses across different use cases.


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Instructor's Bio

Dwayne Natwick

CEO/Owner Captain Hyperscaler, LLC; Microsoft Certified Trainer (MCT) Regional Lead & Microsoft Most Valuable Professional (MVP)

Dwayne is a vision-driven and goal-focused leader with a history of success managing the full lifecycle of Security and IT products and services including architecture, design, proposals, sales, and marketing. Hands-on network security, compliance, and identity engineering and design, with the business acumen and project management skills to ensure critical project delivery that is on-time and within budget. Dwayne has exceptional interpersonal skills with the ability to motivate highly technical teams while effectively communicating with stakeholders and business resources at all the levels of the organization. He has a proven track-record delivering major results and contributing to the achievement of business goals and objectives. His ability to train and develop people at varying technical levels to understand difficult security and cloud concepts is exceptional. Dwayne is a public speaker that is extremely passionate about security architecture and design.

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