Introduction to Prompt Engineering with Azure AI

Learn how to craft effective LLM prompts in this 1-day course.

Instructor-led Training

Course Description

This comprehensive course in prompt engineering is structured across three modules, each designed to equip participants with a deep understanding and practical skills in leveraging ChatGPT for content generation.

Audience Profile

The audience for this prompt engineering course is individuals with an interest or professional involvement in the field of natural language processing, artificial intelligence, or content generation. Participants could include data scientists, developers, content creators, or professionals seeking to enhance their skills in effectively utilizing language models like ChatGPT for prompt engineering.

About this Course

Module 1: Introduction to Prompt Engineering

  • Topics Covered:
    • What is Prompt Engineering?
    • Importance of Prompts in AI models.
    • Overview of AI models that utilize prompts.
  • Activity:
    • Interactive discussion on real-world applications of prompt engineering.
    • Q&A session.

Module 2: Types of Prompts and Their Applications

  • Topics Covered:
    • Understanding different types of prompts (instructional, conversational, etc.).
    • Tailoring prompts for specific use cases.
  • Activity:
    • Case study review: Effective vs. Ineffective prompts.
    • Group discussion on crafting prompts for different scenarios.

Module 3: Crafting Effective Prompts: Best Practices

  • Topics Covered:
    • Key principles for writing effective prompts.
    • Common pitfalls and how to avoid them.
  • Activity:
    • Hands-on exercise: Participants draft prompts for a given task.
    • Peer review and group feedback.

Module 4: Advanced Prompt Engineering Techniques

  • Topics Covered:
    • Refining prompts for complex tasks.
    • Techniques for iterative prompt development.
    • Introduction to prompt chaining and dynamic prompting.
  • Activity:
    • Live demonstration: Iterative refinement of a prompt.
    • Interactive session: Participants improve a series of prompts.

Module 5: Prompt Engineering in Practice: Real-World Scenarios

  • Topics Covered:
    • Case studies from various industries (e.g., customer service, content creation, data analysis).
    • Ethical considerations in prompt engineering.
  • Activity:
    • Rewriting content for improvement or summarization
    • Translating content to various languages
    • Image creation and modification

Module 6: Using Custom Data with Prompts

  • Topics Covered:
    • Uploading and using your own data to Azure OpenAI
  • Activity:
    • Uploading and using your own data to Azure OpenAI

1 Day

Beginner

ChatGPT

  • Beginners with basic understanding of AI and natural language processing

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