Prompt Engineering & Responsible Generative AI
CourseFreeThe Diploma in Prompt Engineering & Responsible Generative AI is a comprehensive, industry-aligned program that equips learners with the knowledge and practical skills to interact with AI systems effectively and safely. Students learn to craft high-impact prompts, evaluate AI outputs for quality and accuracy, and leverage AI tools for creativity, productivity, and technical problem-solving.
Designed for beginners, professionals, and content creators, this program covers foundational concepts, advanced prompting techniques, multi-modal AI interactions, workflow orchestration, legal and ethical considerations, and real-world applications. Learners gain hands-on experience through exercises, projects, and a capstone project demonstrating mastery of responsible AI use.
Upon completion, students will confidently use generative AI to enhance learning, business, research, and creative workflows while adhering to safety, privacy, copyright, and ethical standards.
- 1What Is Generative AI?
- 2How Generative AI Works (Beginner‑Friendly)
- 3Types of AI Tools
- 4What Is a Prompt?
- 5Key Principles of Good Prompting
- 6Basic Prompt Templates
- 7Multi‑Part Instruction Prompts
- 8Chain‑of‑Thought Prompting
- 9Zero‑Shot vs. Few‑Shot Prompting
- 10Prompt Frameworks Used by Experts
- 11Using AI for Complex Tasks
- 12Education & Learning
- 13Writing & Creativity
- 14Coding & Technical Work
- 15Business & Productivity Uses
- 16Personal Projects
- 17Copyright
- 18Privacy & Data Protection
- 19Safety & Responsible Usage
- 20Bias and Fairness
- 21Legal Compliance
- 22The 5‑Layer Prompt Structure (Professional Level)
- 23Common Mistakes & How to Fix Them
- 24The Prompt Improvement Formula
- 25Beginner Examples
- 26Intermediate Examples
- 27Professional Examples
- 28Multi‑Prompt Workflows
- 29AI as a Feedback Loop
- 30Prompt Libraries
- 31From Prompting to "Orchestration"
- 32Why Prompting Skills Still Matter
- 33Text + Image Prompting
- 34Text + Audio/Video Prompts
- 35Best Practices for Multimodal Precision
- 36AI Output Evaluation Frameworks
- 37Methods for Validating AI Responses
- 38Creating AI Feedback Loops
- 39Understanding AI Regulations
- 40Copyright & Intellectual Property
- 41Deepfakes, Misuse & Liability
- 42Using AI Pipelines
- 43Tool-Using Models
- 44Integrating AI Into Professional Systems
- 45Capstone Project Options
- 46Assessment Rubrics