What is Prompt Engineering? – Bossa Academy

Course Content

Introduction to Artificial Intelligence & Prompt Engineering Course

0/1

Welcome to Artificial Intelligence & Prompt Engineering Course

Module 1: Introduction to Artificial Intelligence

0/5

What is Artificial Intelligence?

Understanding Machine Learning, Deep Learning, and Generative AI

Everyday Use Cases of AI in Business, Education, and Marketing

Myths and Realities About Artificial Intelligence

Module 2: Understanding Prompt Engineering

0/6

What is Prompt Engineering?

How Large Language Models (LLMs) Work

Structure of an Effective Prompt – Common Prompting Techniques and Frameworks

Common Prompting Techniques and Frameworks (e.g., Role-based, Chain-of-Thought, Zero-shot vs Few-shot)

Portfolio Building Assignment

Module 3: Crafting and Testing Effective Prompts

0/5

The Art of Writing Clear, Specific, and Context-Rich Prompts

Improving Responses Through Iteration and Refinement

Understanding Biases, Hallucinations, and Limitations in AI

Testing Prompts Across Different AI Platforms (ChatGPT, Claude, Gemini, Copilot)

Module 4: Prompt Engineering for Different Use Cases

0/7

Prompting for Writing and Marketing Content

Prompting for Data Analysis and Research

Prompting for Image Generation and Design

Portfolio Building Assignment (Prompting for Writing and Marketing Content)

Portfolio Building Assignment (Prompting for Data Analysis and Research)

Portfolio Building Assignment (Prompting for Image Generation and Design)

Module 5: Advanced Prompt Techniques & AI Tool Integration

0/4

Building Prompt Templates for Reuse

Automating Tasks with AI (ChatGPT + Zapier + Google Sheets examples)

Ethical AI Use and Responsible Prompting

Module 6: Conclusion

0/1

Certificate

0/1

Certificate Issuing

Artificial Intelligence & Prompt Engineering

This lesson introduces the concept of prompt engineering, explaining how structured instructions are used to communicate effectively with AI systems. You’ll learn why prompts matter, how they influence AI responses, and the role they play in getting accurate, useful, and high-quality outputs from tools like ChatGPT and other generative AI models.

0% Complete