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AI

Prompt Engineering

Steppingstone to the world of Microsoft Cloud

Course Overview

Welcome to Prompt Engineering!
This course introduces the fundamentals of Prompt Engineering, teaching you how to craft effective prompts to optimize interactions with AI models. You’ll learn techniques to guide AI responses, enhance model outputs, and solve complex problems using AI. Get ready to master the art of prompt creation and unlock AI’s full potential!

  • Objective: Provide a foundational understanding of Prompt Engineering and effective AI interaction.

 

Week 1: Introduction to Prompt Engineering

      What is Prompt Engineering?

  • Definition, importance, and role in AI (specifically language models like GPT-4)
  • Use cases in business, content generation, customer support, etc. 
 

      Prompt Engineering Overview:

  • How language models work (brief)
  • Introduction to generative AI and its applications
 

      Basic Concepts of Prompts:

  • Structure of a prompt: Instructions, context, and output
  • Importance of clear, concise, and specific prompts
 

Week 2: Understanding Language Models

      What are Language Models?

  • Overview of models like GPT, BERT, T5, etc.
  • How they understand and generate human-like text 
 

     How Prompts Interact with Language Models:

  • Input, output, and feedback loop
  • Prompt formatting best practices
 
      Ethics and Biases in AI: 

  • Recognizing and mitigating biases in prompt design
 

Week 3: Basic Prompt Structure and Syntax

      Breaking Down Prompts:

  • Basic syntax and components of a prompt (e.g., query, instructions, context) 
 

      Understanding Open-ended vs. Specific Prompts:

  • When to use open-ended and when to use precise prompts
 

      Testing Simple Prompts:

  • Hands-on practice creating basic prompts and experimenting with output variations 
 

Week 4: Crafting Effective Prompts for Text Generation

      Strategies for Clear Instructions:

  • Using direct language to improve output quality
  • Experimenting with explicit instructions and examples
 

      Prompt Types for Content Creation:

  • – Generating blog posts, marketing content, creative writing, and more
 

      Hands-on Activity:

  • Writing prompts for specific content (e.g., blog post, product description)
 

Week 5: Working with Context in Prompts

      Adding Context to Enhance Output:

  • Contextualizing prompts with additional background information
 

      Importance of Examples in Prompts:

  • Using examples to guide the model’s behavior
 

     Hands-on Activity:

  • Crafting prompts with context and examples (e.g., chatbot scenario, Q&A)
 

Week 6: Advanced Prompt Techniques

      Chaining Prompts for Complex Tasks:

  • Breaking down a larger task into manageable prompts 
 

      Multi-step Reasoning and Structured Prompts:

  • Structuring prompts for step-by-step instructions
 
      Hands-on Activity: 
 
  • Chaining multiple prompts for problem-solving tasks
 

Week 7: Fine-tuning Responses and Temperature Settings

      Adjusting Response Style:

  • Temperature, top-p sampling, and controlling randomness in outputs
  • Determining output creativity, coherence, and variability
 

      Controlling Tone and Formality:

  • Crafting prompts for formal, conversational, or professional tone
 
      Hands-on Activity: 
 
  •  Experimenting with temperature and tone adjustments in prompts
 

Week 8: Utilizing AI for Business Use Cases

       AI for Customer Support:

  • Designing prompts for customer service applications
 

       AI in Marketing and Sales:

  • Prompts for lead generation, product recommendations, and email marketing
 

      Business-Specific Prompt Design:

  • Tailoring prompts to business needs and goals
 
      Hands-on Activity: 
 
  • Designing business-centric prompts (e.g., customer service responses, lead qualification)
 

Week 9: Troubleshooting and Refining Prompts

      Understanding and Debugging Incorrect Responses: 

  • Identifying issues in model responses and improving prompt clarity
 

    Common Mistakes and How to Avoid Them:

  • Overly vague prompts, insufficient context, and ambiguity
 
     Hands-on Activity: 
 
  • Debugging and refining poorly constructed prompts
 

Week 10: Interactive Prompts and Chatbots

    Designing Chatbot Prompts:

  • Creating conversational, interactive, and engaging prompts
 

    User Intent Recognition in Prompts:

  • Understanding how to guide the model to recognize user intent
 
    Hands-on Activity: 
 
  • Building a simple interactive chatbot prompt
 

Week 11: Advanced Prompt Engineering for Multiple Outputs

    Handling Multiple Outputs in One Prompt:

  • Structuring prompts to generate lists, comparisons, or multiple outputs
 

    Creating Structured Outputs:

  • Using prompts to output in structured formats like tables, bullet points, or summaries
 
     Hands-on Activity: 
 
  • Generating multiple outputs (e.g., multiple solutions, options for decision-making)
 

Week 12: Integration with Tools and APIs

    Integrating Prompts with APIs:

  • Prescriptive vs. Predictive analytics: Decision optimizationUsing prompts in automation tools and integrating with external services (e.g., Zapier, APIs)
 

     Introduction to Optimization Techniques:

  • Linear programming and decision analysis
 

    Using Prompts for Data Extraction and Reporting:

  • Crafting prompts for data scraping or automated reporting tasks
 
     Hands-on Activity: 
 
  • Creating prompts that interact with external data sources
 

Week 13: Workshop 1: Building a Content Generation System

      Objective:

  • – Apply knowledge of prompt crafting to build a system for generating blog posts, emails, or
    product descriptions.
 

     Tasks:

  • Participants will work in small groups to create prompts for a content generation workflow.  

 

    Feedback:

  • Review and critique the prompts, discussing improvements and refinements
 

Week 14: Workshop 2: AI for Customer Support and FAQ Systems

      Objective:

  • Design and implement prompts for an AI-driven customer support system.
 

      Tasks:

  • Create prompts that can handle frequently asked questions (FAQs) or troubleshooting queries. forecasting or demand planning  
  • Explore fine-tuning responses to enhance customer interaction. 
 
      Feedback:
 
  • Present and evaluate the customer support workflows created by groups.
 

Week 15:  Workshop 3: Real-Time AI Data Analysis and Reporting

     Objective:

  • Use prompts to analyze business data and generate reports or insights.
 

     Tasks:

  • Create prompts to summarize datasets, extract key insights, or generate business reports.
 
      Feedback:
 
  • Provide feedback on the structure of prompts and how they can be improved for specific
    business needs.
 

Week 16: Workshop 4: Building an Interactive Chatbot for Specific Use Cases

      Objective:

  • Design and build a fully interactive chatbot with advanced prompts.
 

      Tasks:

  • Implement chatbot logic for a specific use case (e.g., booking systems, product
    recommendations).
 
       Feedback:
 
  • Final presentations of chatbot prototypes, with group discussions on prompt optimization
    and future improvements.
 

FAQ

This course is specifically designed for school students who want to gain an understanding of Azure. Basic knowledge of Cloud Computing is required. Our Azure for Beginners will help you to get ready for this course.

The course is tailored for middle and high school students. However, any enthusiastic learner interested in the subject is welcome to join.

All you need is a computer with internet access. We will provide any necessary software and materials as part of the course.

Yes, upon successful completion of the course, you will be awarded a certificate. This certificate recognizes your understanding of Azure for Beginners.

Enrollment is simple! Choose the course, and follow the enrollment instructions. If you encounter any issues, our support team is ready to assist you.

Play Video
Instructor:
Gaurav

Prompt Engineering​​ Expert

About This Course:
  • Prompt Engineering​
  • Duration: 16 Weeks
  • Certificate of completion
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