Overview:

Master the art of interacting with AI systems through effective prompt engineering. This course teaches you how to design high-quality prompts that produce accurate, consistent, and creative responses from AI models like ChatGPT, Claude, and Gemini—helping you work smarter, faster, and more effectively in any domain.

Module 1: Foundations of Prompt Engineering

• Introduction to the concept of prompt engineering and why it matters

• How large language models interpret prompts

• What makes a prompt effective vs ambiguous

• Basics of model behavior: temperature, token limits, and output control

Module 2: Prompt Types and Use Cases

• Types of prompts: zero-shot, one-shot, few-shot, instruction-based

• Applying prompt types for use cases: content writing, summarization, translation, data extraction, question-answering

• Structuring prompts effectively for each scenario

Module 3: Role-based & Format-driven Prompting

• How assigning roles (e.g., “You are a data analyst”) influences tone and accuracy

• Requesting responses in specific formats: tables, bullet points, JSON

• Using delimiters, placeholders, and clear instructions for predictable outputs

Module 4: Iteration, Debugging & Refinement

• Iterating and refining prompts for better results

• Adjusting clarity, adding examples, and narrowing context

• Troubleshooting issues: hallucinations, vague answers, formatting problems

• Small modifications for big improvements

Module 5: Advanced Prompting & API Integration

• Advanced techniques: prompt chaining, conditional prompting, LangChain

• Embedding prompts within API calls (OpenAI, Anthropic, etc.)

• Integrating prompts into chatbots, automation flows, and internal tools

Module 6: Ethics, Safety & Real-World Best Practices

• Risks of bias, misinformation, and misuse of prompts

• Designing responsible prompts for diverse audiences

• Ensuring fairness and avoiding model manipulation

• Best practices: testing, monitoring, and documenting prompt performance

Benefits:

This course helps you harness the true power of AI by teaching you how to “talk to models” effectively. You'll save time, improve quality, and gain confidence when using LLMs for real tasks—whether it’s automation, analysis, content, or customer interaction.

Who Should Enroll:

Designed for developers, QA testers, analysts, marketers, educators, team leads, and anyone using tools like ChatGPT, Claude, or Bard in their daily workflow. No prior coding or AI experience is needed—just curiosity and creativity.