Course Content
Introduction to Prompt Engineering
0/6
What is Prompt Engineering?
Overview of Language Models
Applications of Prompt Engineering
Overview of Prompt Engineering
Basics of NLP and AI Models
Introduction to AI Platforms for Prompt Engineering
Foundational Concepts in Prompt Engineering
0/3
Understanding Prompts
Basic Prompting Techniques
Prompting Strategies for Different Tasks
Intermediate Prompt Engineering Techniques
0/3
Advanced Prompt Construction
Controlling Model Output
Few-Shot and Zero-Shot Learning with Prompts
Understanding Language Models
0/2
Popular Language Models
Capabilities and Limitations
Crafting Effective Prompts
0/3
Basic Prompt Design Principles
Techniques for Prompt Crafting
Contextual Considerations
Advanced Prompt Engineering Techniques
0/6
Recursive Prompting and Meta-Prompting
Multi-Step Prompt Engineering
Customizing Models with Fine-Tuning
Prompt Engineering Strategies
Controlling Model Outputs
Evaluation and Iteration
Evaluating and Testing Prompt Performance
0/3
Metrics for Evaluating Prompts
A/B Testing and Experimentation
Debugging and Iteration
rompt Engineering for Specific Use Cases
0/6
Prompt Engineering in Conversational AI
Prompting for Creative Applications
Prompt Engineering for Data Analysis
Chatbot and Conversational Agents
Content Generation
Data Analysis and Insight Generation
Ethical Considerations in Prompt Engineering
0/5
Ethics of AI and Prompt Engineering
Bias and Fairness
Transparency and Accountability
Safety and Security in Prompt Engineering
Responsible AI Use and Guidelines
Tools and Platforms for Prompt Engineering
0/3
Overview of Prompt Engineering Tools
Using APIs for Prompt Engineering
Development Environments
Exam Preparation and Capstone Project
0/3
Key Concepts Review
Capstone Project
Practice Exams and Feedback
Prompt Engineering for AI and Natural Language Models
Previous
Next