Artificial Intelligence

Prompt Engineering II

Enter EARLY10 for 10% off!

Overview

Prompt engineering is the practice of designing, testing, and refining the input text (or “prompt”) given to a language model or other AI system to produce a desired output. Prompt engineering involves understanding how to communicate clearly and effectively with AI models. Prompt Engineering II continues from our Prompt Engineering I class to introduce students to the core intermediate and advanced prompting techniques.

By the end of this course, participants will be able to:

  • Design and implement complex prompt strategies utilizing advanced techniques
  • Analyze and deconstruct existing sophisticated prompts
  • Develop and apply prompt engineering best practices for specialized AI applications
  • Integrate prompt engineering principles
  • Evaluate and compare the performance of different prompting methodologies

This course is included in the AI Learning Subscription.

Schedule

Register 21 days before class start date and save 10%! Enter discount code EARLY10 during registration.

Dates

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5/22/26

1:00pm - 5:00pm Friday

Live Online

$675

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5/28/26

4:00pm - 8:00pm Thursday

Live Online

$675

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6/18/26

8:00am - 12:00pm Thursday

Live Online

$675

Dates :

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6/23/26GTR

4:00pm - 8:00pm Tuesday

Live Online

$675

GTR: Guaranteed to Run

Course Outline

Prompt Engineering II

1. Review of Intermediate Techniques

  • Quick refresher on role-based, iterative, and few-shot prompting.
  • Discussion: When to use intermediate techniques.
  • Hands-on: Fine-tune prompts for specific outcomes.

2. Advanced Prompting Strategies

  • Chain-of-Thought (CoT):
    • Step-by-step reasoning for problem-solving.
    • Demo: Solve logic puzzles or explain complex processes.
  • Tree-of-Thought (ToT):
    • Exploring branching possibilities for ideation or decision-making.
    • Demo: Brainstorm and evaluate solutions for a community issue.
  • Self-Consistency:
    • Generating multiple outputs and finding the most consistent answer.
    • Demo: Answer trivia questions using self-consistency.
    • Practice: Apply CoT, ToT, and self-consistency to real-world tasks.
  • Additional Advanced Techniques (75 minutes)
    • Meta-Prompting: Critique or improve model outputs.
    • Retrieval-Augmented Prompting: Incorporating external data or documents.
    • Debate and Critique Prompting: Arguing opposing viewpoints.
    • Constraint-Based Prompting: Imposing limits on style, format, or word count.
    •  Demo:
      • Meta-Prompting: “Improve your explanation for a beginner audience.”
      • Constraint-Based: Write a 50-word product pitch.
      • Hands-on: Create prompts for advanced scenarios.
      • Interactive Exercises and Case Studies
      • Group task: Use advanced techniques to solve a complex, multi-step problem (e.g., plan an event, write a policy proposal).
        Compare outputs and discuss optimization strategies.

3. Wrap-Up and Next Steps (15 minutes)

  • Recap advanced concepts.
  • Resources for further learning.
  • Open Q&A.
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