Prompt Engineering Overview
This course focuses on the art and science of designing effective prompts for Generative AI and Large Language Models (LLMs). Learners will understand how prompts influence AI behavior and will gain practical skills to control output quality, accuracy, tone, and structure. The course emphasizes real-world applications, hands-on practice, and best practices for using AI responsibly and efficiently across business and technical domains.
Course Content
Module 1: Introduction to Generative AI & Prompt Engineering
What is Generative AI?
Large Language Models (LLMs) overview
Role of Prompt Engineering
Industry use cases
Module 2: How LLMs Work
Tokens, embeddings, and context
Training vs inference
Model parameters (temperature, top-p)
Limitations and hallucinations
Module 3: Prompt Fundamentals
Prompt structure and components
Zero-shot and few-shot prompting
Role-based prompting
Formatting prompts (tables, JSON, lists)
Module 4: Prompt Design Techniques
Step-by-step and chain-of-thought prompting
Instruction tuning
Output constraints and validation
Prompt templates
Module 5: Advanced Prompt Engineering
Prompt chaining and workflows
Persona and tone control
Error handling and guardrails
Prompt optimization techniques
Module 6: Domain-Specific Prompting
Prompts for business and management
Prompts for software development
Prompts for data analysis and reporting
Prompts for education and content creation
Module 7: Prompt Engineering with Tools & Platforms
ChatGPT and OpenAI Playground
Prompting via APIs
System vs user prompts
Using prompts in automation tools
Module 8: Evaluation & Optimization
Measuring prompt effectiveness
Reducing hallucinations
A/B testing prompts
Cost and performance optimization
Module 9: Responsible & Secure Prompting
Prompt injection risks
Data privacy considerations
Ethical AI practices
Compliance basics
Module 10: Hands-On Labs & Capstone
Building a prompt library
Designing AI assistants
Real-world case studies
Mini project/capstone presentation
Course Outcomes
By the end of this course, learners will be able to:
– Understand how Generative AI models respond to prompts
– Design clear, structured, and effective prompts
– Apply advanced prompting strategies for complex tasks
– Control output format, tone, and accuracy
– Build prompt-driven workflows and AI assistants
– Reduce errors and hallucinations in AI responses
– Optimize prompts for cost, speed, and reliability
– Apply responsible and secure AI usage practices
– Use prompt engineering skills across business and technical domains
