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IT: Artificial Intelligence & Data
Generative AI Tools and Prompting
Curriculum
1 Section
36 Lessons
30 hours
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Unit 3 — Generative AI Tools and Prompting
36
1.1
What Lies Ahead for MuseNet
20 mins
1.2
Addressing Biases and Cultural Sensitivities
20 mins
1.3
Getting to Know BigGAN
20 mins
1.4
How Prompts Influence BigGAN
20 mins
1.5
Practical Examples of BigGAN
20 mins
1.6
Challenges and Critiques of BigGAN
20 mins
1.7
The Future of BigGAN
20 mins
1.8
Introduction to Codex
20 mins
1.9
The Impact of Prompts on Codex
20 mins
1.10
Real-World Use Cases and Examples
20 mins
1.11
Limitations and Areas for Improvement
20 mins
1.12
Looking Forward: The Future of Codex
20 mins
1.13
Introduction to RunwayML
20 mins
1.14
The Role of Prompts in RunwayML
20 mins
1.15
Showcasing Real-World Examples
20 mins
1.16
Strengths and Weaknesses
20 mins
1.17
Future Directions for RunwayML
20 mins
1.18
Sample Prompts for RunwayML
20 mins
1.19
Getting to Know DeepArt
20 mins
1.20
How Prompts Influence DeepArt
20 mins
1.21
Use Cases and Examples
20 mins
1.22
Limitations and Areas for Improvement
20 mins
1.23
The Future of DeepArt
20 mins
1.24
Introduction to Midjourney
20 mins
1.25
How to Use Midjourney
20 mins
1.26
What Is Different
20 mins
1.27
Midjourney Prompts
20 mins
1.28
Introduction to Google Bard
20 mins
1.29
Prompts for Google Bard
20 mins
1.30
Real-World Use Cases and Examples
20 mins
1.31
Limitations and Areas for Improvement
20 mins
1.32
Areas for Improvement
20 mins
1.33
Additional Thoughts
20 mins
1.34
The Future of Google Bard
20 mins
1.35
Introduction to DeepFaceLab
20 mins
1.36
How Prompts Influence DeepFaceLab
20 mins
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