100% OFF- AI Prompt Engineering: From Basics to Advanced

This course contains the use of artificial intelligence

VALUE PROPOSITION: You turn scattered, hit-or-miss prompts into clear, reliable workflows that support real work. You learn a practical system to design, test, and refine prompts so you can solve complex problems, boost productivity, and work responsibly with powerful tools.

What you will learn

• Lesson 1 – You understand how modern models process text, adopt a clear communication mindset, avoid common prompt pitfalls, and use a simple framework to turn weak prompts into strong ones.
• Lesson 2 – You design prompts with clear structure, roles, output formats, and examples, and you start building reusable templates and a small prompt library for your own tasks.
• Lesson 3 – You use chain of thought, multi turn dialogues, task decomposition, and prompt debugging to handle complex, multi-step problems and adapt prompts to different domains.
• Lesson 4 – You build a personal prompt library, integrate prompts into everyday workflows, define simple assistants for your work, and measure the time and quality gains you achieve.
• Lesson 5 – You apply ethical principles, reduce bias and unsafe outputs, protect privacy in your prompts, test workflows for reliability, and prepare for new trends and capabilities.

Who this course is for
You are a professional, educator, creator, or technical worker who uses or wants to use modern language tools for real work and needs more consistent, productive, and responsible results.

How the course works (structure and outputs) –
Lesson 1 – Mastering Prompt Engineering: Foundations of Effective AI Communication
You learn how language models read prompts, what they can and cannot infer, and how to apply clarity, context, constraints, and consistency using a simple design framework.

Lesson 2 – Essential Prompt Engineering Techniques: How to Speak to AI for Maximum Impact
You design structured prompts with roles, context, formats, and examples, then create basic templates and start a personal prompt pattern library for your own use cases.

Lesson 3 – Advanced Prompting and Problem Solving Techniques for AI
You plan multi step conversations, use chain of thought and decomposition, debug weak prompts, and adapt techniques to writing, analysis, coding, and creative work.

Lesson 4 – AI Enhanced Productivity: A Practical Guide to Workflow Integration
You turn individual prompts into repeatable workflows, define personal assistants, build a simple prompt library, and track time saved and quality improvements.

Lesson 5 – Ethical Prompt Engineering: Responsible Practices and Future Trends
You embed ethics, bias checks, testing, and privacy into your prompts and workflows, and outline how you will update your practice as tools and methods evolve.

Minimum Requirements — Exactly what you need to take this course

Software (free or tools most learners already have)

• Google Sheets or Microsoft Excel
  • You use this for structured worksheets such as matrices, simple charts, trackers, and action plans.
• Google Docs or Microsoft Word
  • You use this for one-page summaries and stakeholder updates.

Notes:

• No paid tools or advanced analytics required.
• If you cannot install anything, the browser versions of Google Sheets and Google Docs are sufficient.

Additional materials

• A computer with a modern web browser and reliable internet
• A real or realistic problem from your work, study, or personal context to practice on
• Basic facts or observations about that problem, such as dates, counts, and examples, to make the exercises concrete
• Course templates, provided in the course, for worksheets, matrices, action plans, and simple tracking of results

Appropriate mindsets

• Bias to action and iteration: you try small steps, learn from results, and improve your prompts and workflows
• Evidence over opinions: you use light data and examples to guide choices and evaluate outputs
• Clarity and brevity: you keep prompts and outputs simple, structured, and easy to reuse
• Collaboration when possible: you share drafts, align with stakeholders early, and if you work solo you still reflect and seek feedback when you can