Generative AI for Beginners: Chatbots with Vibe Coding

We'll demystify the term "Generative AI" by breaking it down into simple parts. Discover the difference between AI that analyzes and AI that creates original content like text, art, and music from scratch.

Journey back in time to understand the building blocks that made Generative AI possible. We'll clarify the relationship between Artificial Intelligence, Machine Learning, and Deep Learning in an easy-to-understand way.

Compare traditional AI (like your spam filter) with Generative AI (like an artist). We'll explore what makes this technology a creative partner capable of imagination, not just calculation.

Get introduced to the leading AI models of recent times. We'll look at the unique strengths of tools like GPT-5, Claude 4, Gemini 2.5, and others, so you know which tool is best for your specific creative needs.

Ever wonder what's happening inside an AI's "mind"? This lecture introduces the core components we'll explore, demystifying the "magic" behind how AI understands and creates.

Meet the Large Language Model (LLM), the powerhouse behind conversational AI. We'll break down how these models are trained and why they're so good at understanding and generating human-like text.

Explore the fascinating methods AI uses to generate more than just words. We'll look at the different models for creating images, composing music, and generating realistic voices.

Uncover the secret to how AI understands context and relationships between words. Learn how embeddings turn language into numerical vectors, allowing machines to grasp meaning.

Discover how to take a general AI model and train it to become a specialist. We'll explain how fine-tuning helps an AI adopt a specific tone, style, or industry knowledge.

Learn about Retrieval-Augmented Generation (RAG), a powerful technique that lets an AI access and use external, up-to-date information without needing a full retrain.

In this crucial recap, we'll connect all the dots from this section to build a complete mental model of how Generative AI works. We will visually map out how a user's prompt travels through the system—from being understood by Large Language Models (LLMs), converted into meaning via Embeddings, and then potentially customized using Fine-Tuning or given real-time data with RAG. This lecture ensures you don't just know the individual parts, but you understand the entire, elegant system as a whole, solidifying your foundational knowledge before moving on to practical application.

A prompt is your instruction to an AI. We'll cover the essential principles of crafting clear and effective prompts, including different strategies like zero-shot and few-shot prompting.

Learn about "tokens," the small units of text that AI models process. Understanding token limits is key to avoiding errors and getting complete, coherent responses from the AI.

Dive into practical techniques for prompting text-based AIs like ChatGPT and Claude. We'll use the Role-Task-Style framework and show you how to control tone, format, and even match your personal writing voice.

Go beyond basic commands and learn to have sophisticated conversations with AI. In this lecture, we'll dive deep into powerful strategies like assigning the AI a specific persona (e.g., "Act as a skeptical editor") and using chain-of-thought to guide it through complex problems step-by-step. You will learn how to structure prompts that make the AI "think" before it answers, leading to more nuanced, accurate, and creative outputs for tasks like market analysis, content strategy, or detailed planning.

What happens when your prompt fails or the AI misunderstands you? This lecture provides a practical troubleshooting toolkit for every AI user. We will cover the most common reasons prompts deliver poor results, such as vagueness, conflicting instructions, or hidden biases. You'll learn a systematic process for refining your prompts through iteration, how to make small, targeted tweaks to significantly improve output, and how to compare results across different models to find the optimal approach for your specific goal.

Stop starting from scratch every time. This lecture teaches you how to build a powerful, reusable "prompt library" to streamline your workflow and save hours of work. We'll explore simple but effective methods for organizing your most successful prompts using tools like Notion, Airtable, or even a simple text file. You will learn how to categorize prompts by task (e.g., email marketing, scriptwriting), by tool, or by desired output, creating a personal "swipe file" that makes you a faster, more efficient, and more consistent AI creator.

'The Ultimate Prompting Cheat Sheet,' to keep key prompting frameworks and techniques handy. This is a great resource to use throughout the course and beyond!

Learn the formula for turning your imagination into stunning AI-generated images. We'll cover how to describe subjects, settings, lighting, and artistic styles to get the exact visual you want.

Tackle one of the biggest challenges in AI art: character consistency. Learn the professional techniques for describing characters precisely so you can feature the same person in multiple images.

We'll explore common traps like style confusion, vague descriptions, and inherent AI biases. Learn how to refine your prompts to avoid weird results and create more inclusive, accurate images.

This guide breaks down the art of "painting with words," giving you the formulas and troubleshooting tips needed to turn your imagination into stunning AI-generated art.

Discover how to generate natural, human-sounding voiceovers from any script. We'll demo tools like ElevenLabs and share tips for writing text that sounds conversational, not robotic.

Learn to create original, royalty-free music with a simple text prompt. We'll explore how to direct AI music tools like Suno to produce tracks in any genre, mood, or style for your projects.

Learn to think like a director when prompting for video. We'll cover how to describe not just the scene, but also camera movements, lighting, and pacing to create cinematic clips.

Watch the magic happen as we turn a simple text description into a fully realized video clip. This practical demo shows you the power of generating motion directly from your words.

Already have an image you love? Learn how to animate it. We'll show you how to add motion to photos, sketches, and AI art to create engaging, dynamic visuals.

This guide provides the essential formulas, techniques, and tips you need to act as an AI film director. Use it to turn your creative concepts into dynamic video content.

Welcome to the most rewarding part of the course. You've learned the theory, mastered the concepts, and know how to talk to AI. Now, it’s time to build. In this section, you're not going to write code or manage files. Instead, you'll learn to create powerful, reusable AI tools directly inside Google AI Studio. You will turn the AI from a generalist into a specialist with a single prompt.

Welcome to our first build! We're creating a tool to help us think better. The Root Cause Solver is an AI persona that uses the famous "Five Whys" technique. Instead of giving you answers, it will act as a coach, asking you "Why?" repeatedly to help you dig deeper into a problem and find its true origin.

For our next project, we'll build a creative partner. The Analogy Ace is an AI tool designed to do one thing brilliantly: explain complex topics using simple, relatable analogies. This is perfect for students, teachers, content creators—anyone who needs to make a complicated idea easy to understand.

For our final project, we're building a practical health and fitness tool: The Personalized Workout Planner. This AI coach will first act like a real trainer by asking you key questions, and then it will use your answers to generate a structured, custom 5-day workout plan.

Create an AI-powered app that analyzes company data from PDFs. This tool helps employees answer questions, improving information access within an organization.

With great power comes great responsibility. We'll discuss the critical ethical considerations of using AI, including deepfakes, data bias, hallucinations, and content ownership in this rapidly evolving landscape.

You've completed the course and are now equipped with the skills to create with AI. We'll recap your journey and provide guidance on how to stay curious, keep learning, and continue building.

This course is just the beginning. In this forward-looking lecture, we will explore the exciting trends shaping the future of Generative AI, from autonomous agents to hyper-personalization. We'll also discuss the new career paths and job opportunities emerging in this field, such as Prompt Engineer, AI Content Strategist, and AI Ethics Officer. You'll leave this lecture with a clear understanding of where the industry is headed and how you can position yourself for success in the new AI-powered economy.