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

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

Image–Text Prompting Audio and Speech Prompts Code Generation Prompts Agent and Orchestrator Patterns Collaborative Prompting Workflows Meta-Prompts and Self-Reflection Ensemble and Voting Prompts Time- and Date-Aware Prompts Multilingual and Translation Prompts Cultural and Style Adaptation Long-Context Prompting Session Memory Management Template Libraries and Snippets Deployment Guardrails Emerging Trends and Research

Courses/Generative AI: Prompt Engineering Basics/Multimodal and Advanced Prompt Patterns

Multimodal and Advanced Prompt Patterns

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Extend prompting across text, images, audio, and code while adopting emerging patterns and deployment guardrails.

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Ensemble and Voting Prompts

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