Course Outline
Introduction
- What is Prompt Engineering?
- Importance and applications of prompt engineering
- Overview of tools and platforms
Foundations of AI Text and Image Generation
- Understanding AI models for text and image generation
- Training data and fine-tuning models
- Exploring different architectures and their capabilities
Advanced Prompt Engineering Techniques
- Crafting effective prompts for realistic text and image generation
- Leveraging conditional and context-aware prompts
- Designing prompts for style transfer and creativity
Exploring Advanced AI Tools and Techniques
- Deep dive into ChatGPT, Stable Diffusion, DALL-E 2, Leonardo AI, and MidJourney
- Experimenting with pre-trained models and custom datasets
- Image-to-image translation and manipulation techniques
Hyper-Realistic Text Generation
- Generating text with desired attributes using prompts
- Fine-tuning text generation models for specific contexts
- Controlling text generation for coherent and diverse outputs
Hyper-Realistic Image Generation
- Generating highly realistic images using prompt engineering
- Fine-tuning image generation models for specific styles
- Manipulating image attributes through prompts
Case Studies and Real-World Applications
- Examining successful use cases of prompt engineering
- Applying prompt engineering to various domains (e.g., art, design, advertising)
- Ethical considerations and responsible use of prompt engineering
Integrating Prompt Engineering into Workflows
- Strategies for incorporating prompt engineering into projects
- Optimizing performance and efficiency
- Best practices for prompt engineering in real-world scenarios
Future Developments and Latest Trends in Prompt Engineering
- Staying up-to-date with advancements in prompt engineering
- Emerging tools, models, and techniques
- Forecasting the future of AI text and image generation
Summary and Next Steps
Requirements
- No programming expertise required
Audience
- Beginners in prompt engineering
- Experienced AI practitioners
- AI enthusiasts interested in hyper-realistic text and image generation
Testimonials (3)
examples and exercises
Kamil
Course - Introduction to Data Science and AI using Python
Machine Translated
All the information presented
Jose Victor - si
Course - Artificial Intelligence (AI) for Managers
The training definitely backfilled some of the gaps in my knowledge left by reading the OptaPlanner userguide. It gave me a good broad understanding of how to approach using OptaPlanner in our projects going forward.