Mastering Prompt Engineering
A comprehensive course designed to transform learners into skilled prompt engineers, capable of extracting maximum value and precision from AI language models and generative AI tools.
Course Taught by an Expert AI Professional
3 Days - $1,895.00
Prerequisites
Some basic knowledge of personal computers.
Course Outline
Foundations of Prompt Engineering
Definition and core concepts
Importance in modern AI interactions
Evolution of human-AI communication
Key principles of effective prompting
Understanding AI Language Models
How AI models interpret language
Context processing mechanisms
Token limitations and considerations
Model capabilities and constraints
Basic Prompt Construction
Prompt Anatomy
Structure of an effective prompt
Clear and concise communication
Breaking down complex requests
Using precise and descriptive language
Fundamental Prompting Techniques
Direct instruction prompts
Context-setting techniques
Role-playing strategies
Zero-shot and few-shot learning approaches
Advanced Prompt Crafting
Sophisticated Prompt Strategies
Chain-of-thought prompting
Prompt decomposition
Multi-step reasoning prompts
Contextual priming techniques
Prompt Optimization
Iterative refinement methods
Error identification and correction
Handling ambiguous responses
Precision tuning techniques
Understanding AI Language Models
How AI models interpret language
Context processing mechanisms
Token limitations and considerations
Model capabilities and constraints
Prompt Anatomy
Structure of an effective prompt
Clear and concise communication
Breaking down complex requests
Using precise and descriptive language
Fundamental Prompting Techniques
Direct instruction prompts
Context-setting techniques
Role-playing strategies
Zero-shot and few-shot learning approaches
Advanced Prompt Crafting
Sophisticated Prompt Strategies
Chain-of-thought prompting
Prompt decomposition
Multi-step reasoning prompts
Contextual priming techniques
Prompt Optimization
Iterative refinement methods
Error identification and correction
Handling ambiguous responses
Precision tuning techniques
Domain-Specific Prompt Engineering
Creative Writing Prompts
Story generation techniques
Character development prompts
Narrative structure manipulation
Genre-specific prompting
Technical and Professional Prompts
Code generation strategies
Technical documentation creation
Scientific and research prompting
Business analysis and report writing
Generative AI Tools Specific Techniques
Large Language Model Prompting
GPT-based model strategies
OpenAI ChatGPT specific techniques
Claude prompt engineering
Anthropic AI interaction methods
Image Generation Prompts
Mid-Journey prompting
DALL-E prompt crafting
Stable Diffusion techniques
Cross-modal generation strategies
Ethical Considerations and Best Practices
Ethical AI Interaction
Bias recognition and mitigation
Responsible AI usage
Avoiding harmful or manipulative prompts
Transparency in AI interactions
Privacy and Security
Protecting sensitive information
Preventing prompt injection
Understanding AI model limitations
Maintaining data confidentiality
Advanced Prompt Engineering Techniques
Psychological Prompting
Emotional intelligence in prompts
Motivational and behavioral prompting
Cognitive load management
Persuasive prompt design
Experimental Techniques
Emergent capability exploration
Boundary testing
Creative problem-solving prompts
nterdisciplinary prompt generation
Future of Prompt Engineering
Emerging Trends
AI model evolution
Interdisciplinary applications
Technological forecasting
Skill adaptation strategies
