Interactive Learning Path

Master Prompt Engineering Through Structured Learning

Follow our comprehensive curriculum to become an expert in crafting effective AI prompts

Overview of Language Models & LLMs (Large Language Models)

Learn the basics of prompt engineering and its importance in AI development

Module 1/4

Introduction to Large Language Models

Prompt engineering is the practice of designing and refining input prompts for AI language models to generate desired outputs. It involves crafting clear, specific, and effective instructions that guide the AI in producing accurate and relevant responses.

5 mins

What is a Large Language Model (LLM)?

Explanation of LLMs, their scale, and parameters.

5 min

Key Technology: Transformers

In-depth explanation of the Transformer architecture, including self-attention and its importance.

10 min

Use Cases for LLMs

Exploration of practical applications such as text generation, translation, and summarization.

5 min

Challenges & Considerations

Discussing the limitations of LLMs, including resources, biases, and costs.

5 min

Further Learning (Google’s Machine Learning Crash Course)

Overview of how to continue learning.

5 min

What is Prompt Engineering?

Master fundamental strategies for effective prompting

Module 2/4

What Is Prompt Engineering?

Introduction to the concept of prompt engineering and its importance.

5 min

Why Is Prompt Engineering Important?

Exploring the growing demand and the role of prompt engineers in AI development.

5 min

Elements of Prompt Engineering

Detailing key components such as role, instruction/task, context, and examples.

10 min

Prompting Best Practices

Discussing how to craft effective prompts with best practices.

10 min

Types of Prompts

Explanation of direct prompting, role prompting, chain-of-thought prompting, and iterative techniques.

10 min

Prompt Iteration Strategies

Practical advice on how to improve prompts through refinement, clarity, and format specification.

10 min

Prompt Engineering for Generative AI

Explore advanced techniques for complex prompt engineering

Module 3/4

Give ChatGPT a Persona

Explanation on how to assign personas to guide the models responses.

5 min

Add Delimiters

The use of delimiters for sectioning off parts of text that need special handling.

5 min

Provide Step-by-Step Instructions (Chain-of-Thought)

Explanation of how to break down tasks into smaller steps.

5 min

Provide Examples (One-shot, Few-shot, Multi-shot)

Guidance on how to use examples to better train and guide the models understanding.

10 min

Ohter steps

Explore advanced techniques for complex prompt engineering

Module 4/4

How to Craft Effective Prompts

The importance of clear, precise instructions.

15 min

General Best Practices

How to refine prompts based on model responses.

5 min