Mind Map of Prompt Engineering Course

Mind map visualizing concepts of Prompt Engineering Course

Prompt Engineering Course Syllabus

Module Duration Details
I. Foundations: LLMs & The Power of Prompts 3h Unveiling Large Language Models (LLMs): 1.5h
  • Capabilities and limitations of LLMs (ChatGPT as a case study)
Introduction to Prompt Engineering: 1.5h
  • How prompts steer LLMs towards specific tasks and outputs
  • From generating creative text formats to translating languages and answering your questions in an informative way
II. Crafting Compelling Prompts: A Deep Dive 6h The Anatomy of an Effective Prompt: 2h
  • Precision and Clarity - Ensuring the LLM understands your intent.
  • Context is King - Providing relevant background information.
  • Shaping the Output - Specifying the desired format (e.g., poem, code, email).
  • Guiding the LLM (Optional): Including examples and counter-examples.
Mastering Prompt Design Frameworks: 4h
  • Few-Shot Learning Prompts - Leveraging minimal instructions for specific tasks (1h).
  • Open Ended Prompts - Sparking creative exploration within boundaries (1.5h).
  • Closed Ended Prompts - Guiding the LLM towards a single, desired outcome (1.5h).
III. Advanced Prompt Engineering Techniques for Experts 4h Fine-tuning the Art of Prompting: 2h
  • Tailoring prompts for specialized tasks and domains (e.g., legal writing, scientific report generation).
Scaffolding Techniques for Enhanced Control: 1h
  • Utilizing templates and checklists to structure LLM responses.
Combining Prompts for Powerful Results: 1h
  • Blending different prompt styles to achieve richer and more nuanced outputs.
IV. Unveiling the Applications of Prompt Engineering 6h Unleashing Creative Text Generation: 2h
  • From poems and code to scripts and narratives - explore various creative formats.
Information Retrieval & Powerful Question Answering: 2h
  • Crafting prompts to unearth specific information or ask complex questions.
Machine Translation with Nuance: 1h
  • Leveraging prompts to enhance translation accuracy and fluency across languages.
Code Generation & Programming with Prompts: 1h
  • Write basic code or translate natural language instructions into functional code.
V. Ethical Considerations: A Responsible Approach 2h Mitigating Bias in Prompt Engineering: 1h
  • Identifying and addressing potential biases within prompts to ensure fair outcomes.
Addressing Safety and Security Concerns: 1h
  • Crafting prompts to avoid generating harmful or misleading outputs.
Transparency and Explainability in Prompt Design: 1h
  • Understanding how prompts influence LLM behavior and outputs.
VI. The Future Landscape of Prompt Engineering 2h Emerging Trends and Advancements: 1h
  • Exploring the reciprocal evolution of LLMs and prompt engineering techniques.
Democratization of Prompt Engineering: 1h
  • Making prompt engineering more accessible to a wider range of users.
VII. Course Project: Mastering the Craft 6h Students will embark on a project where they'll select a specific task and design, test, and refine prompts to achieve the desired outcome.

This mind map was created with the help of Google Gemini and ChatGPT3.5 on May 4, 2024.

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