Prompt Engineering for AI Text and Image Generation

• No programming expertise required

Audience

• Beginners in prompt engineering
• Experienced AI practitioners
• AI enthusiasts interested in hyper-realistic text and image generation

Prompt engineering is a vital skill in AI text and image generation, enabling the creation of hyper-realistic content. 

This instructor-led, live training (online or onsite) is aimed at AI practitioners and enthusiasts who wish to harness the power of prompts to generate impressive and realistic text and images.  

By the end of this training, participants will be able to:

• Have a solid understanding of prompt engineering concepts.
• Write accurate and effective prompts for ChatGPT, Stable Diffusion, DALL-E 2, Leonardo AI, and MidJourney.
• Generate hyper-realistic text and images using the latest tools and techniques in prompt engineering.
• Use AI-powered prompt engineering tools to automate prompt generation.
• Apply prompt engineering to various use cases.
• Incorporate prompt engineering into their own projects and workflows.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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