Generative AI: Prompt Engineering Basics

Chapters

1Foundations of Generative AI

2LLM Behavior and Capabilities

3Core Principles of Prompt Engineering

4Writing Clear, Actionable Instructions

5Roles, Personas, and System Prompts

Selecting Effective Roles Calibrating Expertise Levels Voice, Style, and Tone Constraint-Driven Personas Multiple Personas in Dialogue Role-Based Guardrails Hierarchical Prompting Patterns Chain-of-Roles Workflows Maintaining Persona Consistency Audience Emulation Prompts System vs Developer vs User Prefix and Header Templates Style Guides as Prompts Refusal and Safety Personas Persona Handoffs and Transitions

6Supplying Context and Grounding

7Examples: Zero-, One-, and Few-Shot

8Structuring Outputs and Formats

9Reasoning and Decomposition Techniques

10Iteration, Testing, and Prompt Debugging

11Evaluation, Metrics, and Quality Control

12Safety, Ethics, and Risk Mitigation

13Tools, Functions, and Agentic Workflows

14Retrieval-Augmented Generation (RAG)

15Multimodal and Advanced Prompt Patterns

Courses/Generative AI: Prompt Engineering Basics/Roles, Personas, and System Prompts

Roles, Personas, and System Prompts

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Leverage roles and system instructions to shape expertise, tone, and boundaries across single and multi-agent setups.

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System vs Developer vs User

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