Your cart is empty.
Keep shopping
Prompt Engineering 101 - The Complete Beginner’s Guide
147 students
What you'll learn
- Understand why AI responses fail and how to fix them using better prompts
- Write clear, structured prompts instead of vague or guess-based ones
- Use different prompting techniques like zero-shot, few-shot, role-based, Tree of thoughts , ReAct and reasoning prompts correctly
- Manage context effectively, including system prompts and long conversations
- Choose the right prompting strategy based on the problem they are trying to solve
Explore related topics
Course content
7 sections • 14 lectures • 1h 51m total length
Requirements
- No prior prompt engineering knowledge is required
- No deep AI or machine learning background is needed
- Basic comfort with using tools like ChatGPT or similar AI tools is enough
Description
Revamped Course Overview
Note: This course has been fully revamped to reflect how prompt engineering is actually used today. Earlier this course was named PromptCraft but now it has been renamed to Prompt Engineering 101 - The Complete Beginner’s Guide.
This course is a practical, thinking-first introduction to prompt engineering for modern AI systems like ChatGPT and other large language models (LLMs).
If you’ve ever felt that AI responses are inconsistent, vague, or unreliable when used for real tasks, this course will help you understand why that happens and how to fix it.
Instead of teaching prompt “templates” or one-size-fits-all tricks, this course focuses on how AI models think, how context and instructions influence outputs, and how to design prompts intentionally for real-world use cases.
What You’ll Learn
Why AI models fail and why “just chatting” breaks in real-world use cases
How to design strong prompts using instruction, context, input, and output control
Core prompting techniques: zero-shot, few-shot, role-based prompting
Reasoning techniques like Chain of Thought for complex problems
Context engineering, including system vs user prompts and managing large contexts
Advanced patterns like Tree of Thoughts and ReAct
How to choose the right prompting strategy for the right problem
How You’ll Learn
Hands-on practice using a Google Colab notebook throughout the course
Real-world examples and live prompt improvements
Focus on understanding why prompts work, not memorising what to type
Who This Course Is For
Anyone who wants more reliable and predictable AI outputs
Outcome
By the end of this course, you’ll be able to think clearly, prompt intentionally, and build more reliable AI interactions instead of guessing what to type.
Who this course is for:
- Beginners who want to understand how to use AI effectively, not just casually
- Professionals who use AI for writing, thinking, or decision-making
- Developers, product builders, and creators working with AI systems
- Anyone who wants more control, clarity, and consistency from AI tools