Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
1 Hour(s) 51 Minute(s)
Language
English
Taught by
Vidhi Bharat Shah
Rating
Course Overview
Learn to Write Clear, Effective AI Prompts from Scratch
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.
Course Content
- 7 section(s)
- 14 lecture(s)
- Section 1 Introduction
- Section 2 Understanding a Prompt
- Section 3 Core Prompting Foundations
- Section 4 Context Engineering
- Section 5 Advanced Prompting Patterns
- Section 6 Google Colab Practice Notebook
- Section 7 Bonus Tip
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
Skills covered in this course
Reviews
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HHitarth Patel
Very good explanation! Thank you for this.
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SSaumya Patel
Prompt Engineering techniques are very well explained. Also the examples that were taken to explain the concepts were well thought.
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SStreamline
Very good course for learning prompt engineering. The explanations are clear and the examples make it easy to apply in real scenarios. Worth the time
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PParas Bhardava
Good Course, really taught me how to think and write prompts from scratch, and helped me with the development of my AI projects too!
