Course Information
Registration period
Year-round Recruitment
Price
HKD 380
Course Level
Study Mode
Duration
1 Hour(s)
Language
Cantonese
Location
-
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Course Overview
Introduction
- Generative AI is reshaping the way we work, from generating compelling articles for businesses to creating captivating artwork for marketing. By understanding the applications of Generative AI, you can unlock new possibilities in your workplace and gain a competitive edge in digital transformations.
- In this course, we will delve into the definition of Generative AI and explore its various types and real-world applications. From text generation to art creation, you will witness how Generative AI is transforming industries and enabling innovative solutions.
- Don’t miss out on this opportunity to stay ahead of the curve in the world of Generative AI!
Learning Outcomes
Upon completion of this course, you will :
- Understand the basics of neural networks and deep learning
- Gain the knowledge of various types of generative AI and their applications in the real world
- Master prompt engineering and fine-tuning prompts for optimal outcomes
- Gain the knowledge of the future of generative AI, including trends, challenges, and the importance of ethics
- Improve ability to innovate and transform your business using generative AI
What You’ll Learn
Programme Contents
1. Introduction: The Rise of Generative AI
- •Definition of Generative AI
- •Types of Gen AI and applications in the real world (e.g., text generation, art creation, etc.)
- •How Generative AI Works
- •Basics of Neural Networks and Deep Learning
- •Introduce the most famous models / tools like GPT-4, Stable Diffusion, Midjourney, etc.
2. Text and Image Generation in Action
- •Basic prompt examples demonstration with ChatGPT
- •Journey into AI-Generated Imagery with Stable Diffusion
- •Exploring Other Generative Tools: Midjourney, Adobe Firefly and etc.
- •Practical Applications and Use-Cases
- •Business: Copywriting, customer support, idea brainstorming
- •Art & Entertainment: artwork, video, storytelling
- •Research & Development: Data analysis, coding and self-learning
3. Prompt Engineering: Commanding AI Effectively
- •The Art of Crafting Prompts
- •Common Pitfalls and Tips for Effective prompt
- •Fine-Tuning Prompts for Optimal Outcomes
4. Data Privacy, Ethical Implications & Considerations
- •Data and security awareness when using AI
- •Bias in AI: Origins and implications
- •The importance of transparency and responsibility
5. The Future of Generative AI
- •Trend and predictions
- •Challenges and future of jobs and corporate workflow
- •Encouraging innovation while ensuring ethics
6. Conclusion and Next Steps
