Prompt Engineering

Master the art and science of crafting effective prompts to maximize the performance of AI systems like ChatGPT, Claude, and other large language models.

Course Details

Course Highlights

Comprehensive Prompt Design

From basic prompting to advanced techniques for complex tasks and workflows.

Hands-on Exercises

Practice with real-world scenarios across different domains and applications.

Model-Specific Techniques

Optimize prompts for ChatGPT, Claude, Bard, and other leading LLMs.

Capstone Project

Develop a sophisticated prompt system for a specific business or research application.

Learning Outcomes

By the end of this course, you will be able to:

  • Design effective prompts for diverse applications
  • Structure complex multi-step prompt workflows
  • Optimize prompts for different LLM architectures
  • Implement prompt chaining and few-shot learning
  • Evaluate prompt performance systematically
  • Apply ethical considerations in prompt design

Course Curriculum

Module 1: Fundamentals of Prompt Engineering
  • Introduction to LLMs and Prompting
  • Basic Prompt Structures
  • Role Assignment Techniques
  • Context Window Management
  • Temperature and Sampling Parameters
Module 2: Advanced Prompting Techniques
  • Few-shot and Zero-shot Learning
  • Chain-of-Thought Prompting
  • Self-Consistency Methods
  • Recursive Prompt Refinement
  • Prompt Chaining and Pipelines
Module 3: Domain-Specific Prompting
  • Technical Writing and Documentation
  • Creative Content Generation
  • Data Analysis and Visualization
  • Code Generation and Explanation
  • Research and Summarization
Module 4: Tools and Frameworks
  • LangChain for Prompt Management
  • Semantic Search Integration
  • Prompt Version Control
  • A/B Testing for Prompts
  • Automated Prompt Optimization
Module 5: Production and Ethics
  • Deploying Prompt Systems
  • Monitoring and Maintenance
  • Cost Optimization Strategies
  • Bias Mitigation Techniques
  • Ethical Considerations

Who Should Attend?

Content Creators

Writers, marketers, and creators leveraging AI for content generation.

Developers

Engineers building applications with LLM integration.

Analysts

Professionals using AI for data analysis and business intelligence.

Innovators

Entrepreneurs exploring AI-powered solutions and products.