
Lecture 01: What is Prompt Engineering & Why It Matters
In this foundational lecture, we introduce you to the core concept of prompt engineering, the art and science of crafting clear, structured instructions for AI tools like ChatGPT, Claude, and Gemini to produce meaningful, high-quality outputs.
You’ll learn why vague prompts lead to generic results, and how specific, detailed prompts can dramatically improve AI responses. We’ll break down real-world examples showing how a simple shift in wording transforms AI from a guessing machine into a powerful assistant.
This lesson uses relatable analogies and interactive exercises to help you:
Understand how AI interprets prompts
Identify the difference between weak vs strong inputs
Practice writing better prompts using role, task, audience, format, and scope
By the end of this lecture, you’ll grasp why prompt engineering is the #1 skill for working effectively with AI and how small changes in your words lead to big changes in results.
Lecture 02: How LLMs Work in Simple Terms
In this lecture, we break down Large Language Models (LLMs), the brains behind AI tools like ChatGPT, Claude, and Gemini into simple, relatable concepts anyone can understand.
You’ll discover that AI isn’t magic or mind-reading, it’s advanced pattern prediction, powered by massive amounts of text data. Just like your phone tries to autocomplete your sentence, an LLM predicts the next word based on everything it has “read” from books, websites, forums, and more.
We use powerful analogies like AI as a chef or an expert parrot to show you exactly how LLMs generate responses from your prompts. You'll learn:
What an LLM really is
How it processes your input
Why specific prompts get better answers
How to “think like the model” for more useful outputs
By the end of this lesson, you’ll not only understand how LLMs work but also why prompt clarity is everything. This sets the stage for mastering prompt engineering in the next sections.
Lecture 03: Prompt vs. Instruction vs. Context – What’s the Difference?
“The 3 Building Blocks of Every Great Prompt”
Ever wonder why AI sometimes misunderstands you? It’s usually not the model’s fault, it’s the prompt. In this lecture, you’ll learn the difference between a prompt, an instruction, and context and how to use them together for sharper, more reliable results.
Key takeaway: A powerful prompt = clear instruction + the right context. Master this formula, and your AI results will finally match your intent.
Lecture 04: Role Prompting and Persona Setup – Telling AI Who to Be
In this lecture, you'll discover the powerful technique of role prompting, A method that transforms generic AI responses into focused, expert-level outputs by assigning your AI a specific persona.
Just like you'd expect a different answer from a doctor versus a random person, telling the AI who it is before giving it a task helps it choose the right tone, vocabulary, and level of detail.
You’ll learn how to:
Guide AI with role-based instructions for clearer, more relevant results
Create expert personas (teacher, chef, analyst, coach, etc.) tailored to your needs
Use role prompting to improve writing, productivity, and decision-making
Apply a simple formula to build more powerful prompts
Through examples and hands-on practice, you’ll see firsthand how saying “You are a resume expert” instead of “Help me fix my resume” leads to smarter, faster, and more professional responses.
By the end of this lecture, you’ll know how to elevate every interaction with AI simply by telling it who to be and unlocking the full depth of its training.
Lecture 05: Zero-Shot vs. Few-Shot Prompting – Training AI Without Code
In this lecture, you’ll learn how to get smarter, more tailored AI responses, without writing any code by mastering two essential techniques: Zero-Shot and Few-Shot Prompting.
These methods allow you to “train” the AI on the spot, just by showing it what you want directly inside the prompt.
Just like teaching someone to fold a paper airplane by either telling them what to do (Zero-Shot) or showing them a few examples (Few-Shot), you’ll discover how to guide the AI to follow your tone, format, or logic step-by-step.
You’ll learn how to:
Use Zero-Shot prompting to get quick results for simple tasks like summaries, translations, or definitions
Apply Few-Shot prompting to teach AI patterns, styles, and reasoning great for creative writing, formatting, or technical tasks
Decide when to use each technique for better accuracy and control
Write effective Few-Shot prompts using 2–3 clear examples that match the output you want
Practice hands-on with side-by-side comparisons inside tools like ChatGPT, Claude, or Gemini
Through real-world examples (like writing tweets, translating sentences, or generating emails), you’ll see how just a few well-crafted examples can completely change the output making it sharper, more relevant, and closer to your brand or voice.
By the end of this lecture, you’ll know how to train AI on the fly using only words and make every prompt more powerful, even if you’ve never coded a day in your life.
Next up: we’ll combine these strategies with Chain-of-Thought Prompting where the AI doesn’t just give answers… it learns to think out loud.
Lecture 06: Chain-of-Thought Prompting – Helping AI Think Step-by-Step
Have you ever received a confident answer from AI… that turned out to be totally wrong?
That’s because AI often skips straight to the final answer without showing its reasoning. In this lecture, you’ll discover a powerful prompting technique that fixes that: Chain-of-Thought Prompting.
By simply telling the AI to “think step by step,” you unlock clearer, more logical responses especially for complex questions involving math, logic, coding, ethical dilemmas, and decision-making.
What You'll Learn:
What Chain-of-Thought (CoT) Prompting is and why it matters
How to guide AI through reasoning rather than rushing to an answer
Real-world examples that show the difference between normal vs CoT prompting
Trigger phrases to activate the AI’s reasoning mode
How to combine CoT with Few-Shot examples for even better results
Practice prompts you can try instantly on ChatGPT, Gemini, or Claude
Whether you're solving tricky math problems, debugging code, or asking strategic questions. This technique will help you get better, clearer, and more trustworthy answers.
Lecture 07: Multi-Turn Prompting – Building Smarter AI Conversations
Have you ever asked AI to do something big and ended up with something vague, generic, or off-track?
That’s because most people treat AI like a one-shot tool… instead of what it really can be: a smart, step-by-step creative partner.
In this lecture, you’ll discover the power of Multi-Turn Prompting, A technique that helps you guide AI through longer, more thoughtful conversations, where each response builds on the last.
Whether you're writing content, brainstorming ideas, or developing a business plan multi-turn prompting makes the AI smarter, more focused, and way more useful.
What You'll Learn:
What Multi-Turn Prompting is and how it mimics real conversations
Why it's better than a single one-shot prompt
How to structure your prompts in layers: idea → outline → execution
Real-world examples like writing a blog post, branding a business, and creating content
How to keep AI "on track" by maintaining context across turns
Practice flows you can try right now with ChatGPT, Claude, or Gemini
Whether you're brainstorming, refining, or exploring creative options, Multi-Turn Prompting gives you more control, better output, and a truly collaborative experience with your AI assistant.
Lecture 08: Contextual Prompting – Setting the Scene for Better Results
Ever ask AI a question and get something… bland, off-topic, or just not what you meant?
That’s usually because the prompt lacked context.
In this lecture, you’ll unlock the power of Contextual Prompting , A strategy that helps you "set the scene" for AI, giving it the background, tone, and goals it needs to deliver sharp, relevant, and high-quality responses.
Think of it like briefing a teammate the more the AI knows upfront, the better it performs.
What You'll Learn:
What Contextual Prompting is and how it transforms your results
How to guide AI by specifying role, audience, tone, and format
Real examples showing “bad vs. great” prompts
Use cases for storytelling, education, emails, and content creation
A powerful "pre-text strategy" to prep AI for reviewing, writing, or translating
Practice prompts you can test immediately in ChatGPT, Claude, or Gemini
Whether you're writing for clients, creating stories, pitching ideas, or guiding AI through structured tasks, Contextual prompting makes the difference between vague outputs… and expert-level results.
Lecture 09: Visual Prompting | Guiding AI with Images
In this lecture, you’ll explore Visual Prompting, a powerful technique where you guide AI using images alongside text instructions. With tools like ChatGPT-4 with Vision, Claude, and Gemini, you can make AI not just read but actually see what you’re talking about.
Whether you’re fixing a design, debugging a webpage, or learning from diagrams, visual prompting turns AI into a partner that understands context beyond words.
What You’ll Learn:
What Visual Prompting is and how multi-modal AI “sees” and understands images
Why images + text provide clearer, smarter results than text alone
How to combine screenshots, diagrams, or photos with prompts to unlock new use cases
Real-world examples: design feedback, code & UI debugging, and explaining diagrams
How people use screenshots of charts, objects, or projects to get AI insights
Practice exercises you can try right away with ChatGPT, Claude, or Gemini
Whether you’re a student, creator, or professional, Visual Prompting helps you explain faster, solve problems better, and collaborate with AI like never before.
Lecture 10: Using External Knowledge in Prompts (Documents, Text, and Links)
Ever asked ChatGPT, Claude, or Gemini something and got a response that felt off or outdated? That’s because AI doesn’t automatically know your documents, reports, or real-time info unless you provide it. In this lecture, you’ll learn how to “feed” the AI with context before asking it to work.
You’ll discover how to paste raw text, upload documents, or share links so the AI can analyze and respond with accuracy. From summarizing reports and extracting insights to turning PDFs into presentations, this technique unlocks a whole new level of usefulness.
By the end, you’ll know how to:
Insert external knowledge into your prompts effectively
Use documents, articles, and raw text to guide AI
Summarize, analyze, and extract insights with precision
Apply this method to research, company policies, blogs, and more
This lecture makes AI go from generic to genius simply by giving it the right fuel.
Lecture 11: Refinement & Iteration | Getting Better Results from AI
You’ll learn how to treat AI like a real assistant: give feedback, request changes, and guide it until it gets it right. Through real-world examples, you’ll see how a vague request can be refined into a useful input prompt.
By the end of this lesson, you’ll know exactly how to:
Spot what’s missing in an AI response.
Refine prompts with clear, targeted feedback.
Iterate multiple times to reach the perfect result.
Use clever techniques like asking AI to critique and improve its own answers.
With practical exercises and hands-on practice, you’ll experience the process of sculpting your prompts.
Prompting isn’t one-and-done. It’s a conversation. The more you refine, the better the AI becomes at delivering exactly what you want.
Lecture 12: Common Prompting Mistakes to Avoid
Uncover the hidden traps that cause AI to misfire and how to avoid them.
You’ll learn the five most common prompting mistakes that derail good results, including being too vague, overloading a single prompt, skipping context, using the wrong tone, and failing to refine outputs. Each mistake is paired with a real-world example showing you exactly how to fix it for sharper, more useful answers.
By the end, you’ll understand why AI often “gets it wrong” and how a few small adjustments can completely transform your results. Plus, you’ll practice rewriting vague prompts into clear, specific instructions — and instantly see the improvement.
What you’ll learn in this lecture:
Why vague prompts lead to vague results (and how to add clarity).
How to avoid overwhelming the AI with multi-task prompts.
The importance of context and tone in guiding responses.
A simple framework for reviewing and refining AI outputs.
Hands-on practice with prompt correction.
AI is like a mirror, it reflects the quality of your instructions. With better prompts, you get better answers. Master these common mistakes, and you’ll transform AI from a “confused chatbot” into your most reliable creative partner.
Lecture 13: Mastering Prompt Engineering for Grok – Your Real-Time AI Sidekick
In this lecture, you’ll discover how to get the most out of Grok, xAI’s witty, real-time chatbot wired into X (formerly Twitter). Unlike other AIs, Grok thrives on live data, trending memes, and breaking news, making it perfect for creators, marketers, and anyone who needs to stay ahead of the curve.
You’ll learn how to design prompts that tap into Grok’s strengths from viral tweet threads and meme-style content, to sentiment analysis and real-time debates. You’ll also see where Grok shines compared to ChatGPT or Claude, and where it’s less suited.
Key takeaway: Grok is your trend-savvy sidekick. Master its prompts, and you’ll unlock fresh, witty, and real-time insights that no other AI can deliver.
Lecture 14: Prompt Libraries & Templates for Daily Use
“Your Ready-to-Use Prompt Toolbox”
Tired of writing prompts from scratch? In this lecture, you’ll discover how to use ready-made prompt libraries and templates to save time, boost creativity, and get consistent results. Plus, you’ll get access to a downloadable PDF full of plug-and-play prompts to hit the ground running.
Key takeaway: A well-stocked prompt library is your shortcut to smarter, faster, and more effective AI conversations.
Lecture 15 : Google Prompt Techniques
Stop wasting time on irrelevant Google results. In this lecture, you’ll learn how to use smart prompts and search operators to uncover hidden resources, academic papers, trusted sources, and real-time insights in seconds. You’ll also get a downloadable PDF with 40+ ready-to-use Google prompts and 20 AI + Google combos to supercharge your research, marketing, or coding.
Key takeaway: Google becomes a true power tool when you prompt it with precision.
Congratulations!
You’ve made it to the finish line!
In this final lecture, we’ll celebrate your achievement and reflect on how far you’ve come. From mastering the basics of prompt engineering to exploring advanced techniques and building your own prompt toolbox, you now have the skills to save time, spark creativity, and unlock real-world results with AI and Google.
But this is more than just a course, it’s the start of your journey. Prompt engineering is evolving fast, and the more you practice, the sharper your skills will grow.
Remember: AI is just a tool. You are the creative force that makes it powerful.
Key takeaway: Be proud of what you’ve achieved. You’re no longer just a learner, You’re a Prompt Pro, ready to apply these skills to your work, studies, and future. ?
Unlock the full potential of AI with Prompt Engineering
The essential skill for getting the best results from tools like ChatGPT, Claude, Gemini and Grok.
Whether you're a content creator, marketer, entrepreneur, educator, or AI enthusiast, this course will teach you how to communicate effectively with AI by crafting powerful and precise prompts.
You’ll learn both the fundamentals and advanced techniques of prompt engineering from simple instructions to complex, multi-step queries that produce consistent, high-quality outputs. We’ll cover real-world use cases for writing, brainstorming, research, productivity, business, education, and more with practical exercises embedded throughout using tools like ChatGPT, Claude, Gemini and Grok.
What You’ll Learn:
How to design clear, structured prompts for different types of tasks
The difference between zero-shot, one-shot, and few-shot prompting
Role-based prompting and chain-of-thought techniques
Prompt testing and refinement across different AI platforms
Real-life applications in writing, marketing, learning, and workflow automation
Why Take This Course?
AI isn’t just the future it’s the present. Prompt engineering is becoming a must-have skill for creators, professionals, and innovators. This course gives you hands-on experience with the most popular AI tools available today, without needing any coding background.
By the end, you’ll be able to think like a prompt engineer — asking the right questions, guiding the AI effectively, and unlocking faster, smarter, and more creative results.