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The Complete Beginner’s Guide to Prompt Engineering (2026)
New
100 students
What you'll learn
- Understand what Generative AI and Large Language Models (LLMs) are and how they work
- Clearly distinguish between models (GPT, PaLM, etc.) and applications (ChatGPT, Bard, Bing Chat, Perplexity)
- Write effective, structured prompts to generate better and more accurate responses
- Use prompt engineering techniques to improve clarity, creativity, and precision
- Apply prompting strategies for different tasks such as explanation, summarization, coding, ideation, and email writing
- Compare ChatGPT, Google Bard, Bing Chat, and Perplexity AI effectively
- Use different response modes (creative, balanced, precise) strategically
- Leverage AI tools for professional use cases in software development, marketing, sales, HR, and management
- Avoid common prompt engineering mistakes and improve response quality through iteration
Explore related topics
Course content
1 section • 14 lectures • 1h 17m total length
Requirements
- Have basic familiarity with using the internet and web applications
- Have access to ChatGPT, Google Bard, Bing Chat, or Perplexity AI (free accounts are sufficient)
- Possess curiosity about AI and how it can improve productivity
- No programming knowledge is required.
- No prior experience with AI or machine learning is required.
- This course is beginner-friendly and non-technical.
Description
“This course contains the use of artificial intelligence.”
Generative AI has transformed how we search, create, write, code, and solve problems. But simply using tools like ChatGPT is not enough.
The real power lies in Prompt Engineering — the skill of designing clear, structured, and effective prompts that guide AI models to produce high-quality results.
In this beginner-friendly course, you will learn how generative AI works at a high level and how to interact with it intelligently. You will explore leading AI tools including ChatGPT, Google Bard, Bing Chat (GPT-4 powered), and Perplexity AI, understanding how each differs and when to use them.
This course does not require any technical background. You do not need to know machine learning, neural networks, or programming. Everything is explained in simple, intuitive language.
You will learn:
What Generative AI and Large Language Models (LLMs) are
How GPT models generate responses
The difference between AI models and AI applications
How to structure prompts for better clarity and control
How context improves AI responses (in-context learning)
How to balance creativity and precision
How to reduce hallucinations and bias
How to use AI tools for work, business, and productivity
Through practical demonstrations, you will:
Compare ChatGPT, Bard, Bing Chat, and Perplexity
Experiment with creative vs precise modes
Generate emails, code, summaries, and structured responses
Use AI for professional tasks in development, marketing, HR, sales, and management
By the end of this course, you will no longer “just ask questions” to AI — you will know how to guide it strategically.
If you want to use AI smarter instead of harder, this course is for you.
Who this course is for:
- Beginners curious about ChatGPT and Generative AI
- Professionals who want to improve productivity using AI tools
- Software developers who want to enhance coding efficiency
- Marketing and sales professionals looking to generate creative content
- HR professionals interested in automation and workflow optimization
- Managers and team leads seeking AI-assisted decision support
- Students who want to understand the fundamentals of prompt engineering
- Anyone who wants to communicate more effectively with AI systems