Practical Application of Generative AI Tools - Artificial Intelligence Course

This course aims to enhance Taiwan’s high school students’ understanding of the basic principles, application techniques, and ethical considerations of generative AI. It also aims to improve digital literacy through a large number of practical cases, thereby inspiring students’ creativity and potential in applying generative AI in their future studies and lives.

This course provides a preview of some chapters and units. You are welcome to watch and learn first before deciding whether to purchase the full course!

What you will learn in this online course

【Expected Learning Outcomes】

• Understand the basic concepts and development history of generative AI

• Master the basic skills of communicating with generative AI

• Learn to use generative AI tools to assist learning and research

• Create professional slides with generative AI tools

• Using AI tools to create multimedia content

• Understand the ethics and usage rules of generative AI

【 Generative AI tools that are expected to be proficient

• Text generation AI tools: ChatGPT, Anthropic Claude

• Generative AI tools for data search: Microsoft Copilot, Perplexity

• Generative AI tool for presentation production: Gamma

• Image drawing generative AI tools: Image Creator, Krea.ai,

• Generative AI tools for media production: Runway, Suno.ai, D-ID

【Teacher Introduction】

【Detailed chapter content】

Chapter 1: The Birth and Development of Generative AI

• Why use Generative AI?

• The difference between predictive AI and generative AI

• The origin of generative AI: the emergence of ChatGPT

Chapter 2: Mastering the skills of communicating with AI

• Keyword Skill 1: TRIPO, Practice: Learning and Growth Consultant Simulation

• Keyword Skill 2: Reflection, Practice: Determine whether to continue to delve into the topic

• Keyword Skill 3: Chain of Thought, Practice: Self-introduction in English

• Keyword Skill 4: Emotional Prompt, Practice: Write an Emotional Essay Topic

• Keyword Technique 5: Few-Shot Prompting, Practice: Learn Writers’ Word Skills

• Summary of keyword techniques

Chapter 3: Efficient Data Search

• Traditional Google keyword search, implementation: the latest development trend of artificial intelligence

• Using Copilot to find specific information, implementation: Taiwan's top ten social issues

• Using Perplexity to find specific information, implementation: NASA's latest project

• Discussion and reflection on the search process, implementation: brainstorming with generative AI

Chapter 4: Quickly Create Professional Slides

• Introduction to the presentation generation tool: Gamma

• From idea to presentation, practice: generate beautiful presentations

• From conclusion to briefing, implementation: Combine ChatGPT to generate a briefing that matches the conclusion

• Further revised briefing

Chapter 5: Using AI to draw pictures to make them more vivid

• Text to image (txt2img), implementation: Draw images using Image Creator

• AI drawing tool keyword writing framework, implementation: conforming to the visual image keyword writing method

• Image to image (img2img), implementation: co-creation with AI through Krea.ai

• Multilingual virtual anchor, implementation: Combining D-ID and ElevenLabs to create a virtual anchor

• More generative AI tools: Video (Runway), Music (Suno.ai)

Chapter 6: Ethics and considerations for using generative AI

• Understand Prompt Injection to avoid providing confidential information

• Understanding Hallucination, How to Identify Hallucination Behavior

• The Age of Disinformation: Words and Images

• Ethics and responsibilities of generative AI users

• More learning resources and ending

Total time: 3 hours 55 minutes

Chapters: 6 chapters, 28 units in total

Assessment <br>Assessment question type: Multiple choice Number of assessment questions: 18 questions