Course introduction
1. Course introduction
SPEAKER 1: It feels like AI is everywhere now. It's incredible, but, honestly, it's a bit overwhelming. And it feels like it's changing every day. As soon as I thought I had wrapped my mind around generative AI, I heard about agentic AI. What's next? SPEAKER 2: I used to feel the exact same way. It's like this kitchen. It's easy to get overwhelmed when you see all the incredible tools at your disposal, just like you can get overwhelmed at all things AI can do. But think of AI as just another powerful kitchen tool, waiting for you to pick it up and create something amazing, and that's exactly what this course, Introduction to AI and Machine Learning on Google Cloud, helps you do. It takes you from, huh, to, I can build that. You start with the basics in module 1, laying the groundwork like gathering all your ingredients and tools before a complicated recipe. You'll explore AI foundations, what AI looks like on Google Cloud, discover the infrastructure, and even get hands on with powerful tools like BigQuery ML. SPEAKER 1: Ingredients-- so not just throwing everything into a blender and hoping for the best. SPEAKER 2: Exactly. You understand the why before the how, setting a strong stage for everything that comes next. Then you dive into the really exciting realm, generative AI on Google Cloud. This is where AI learns to create brand-new content. SPEAKER 1: Ah, yes, gen AI. I've been using it almost daily, but I haven't ventured beyond Gemini and don't really know much about how it works. SPEAKER 2: Well, you're in luck. The course dives into foundation models like Gemini, Veo for videos, and Imagen for images. You'll also learn about prompt engineering and multimodality. Oh, and agents. I'm sure you've heard of AI agents. SPEAKER 1: Sounds familiar. It's like having an AI sidekick? SPEAKER 2: It's more than that. Imagine a fully autonomous assistant that generates content and takes actions for you. SPEAKER 1: Wow. I'm kind of speechless. SPEAKER 2: Yeah, it's next-level stuff. And after you learn about agents, you'll get into how to actually build and deploy these intelligent systems. You'll explore various AI development options, understanding when to use Gemini Enterprise and AutoML for no-code solutions, progress to pretrained APIs for low-code options, and leverage BigQuery ML and custom training with Vertex AI for code-based approaches. SPEAKER 1: I didn't even realize there were multiple available tools for development. And I don't need to be a coding genius to get started with building things? SPEAKER 2: Absolutely not. You'll learn the entire AI development workflow, from data preparation through to model development and, finally, model serving. SPEAKER 1: That's super exciting. I always thought this stuff was just for super geniuses, and I'd need years of experience. SPEAKER 2: Nope. This course breaks down complex AI topics into simple, relatable steps, making it accessible to everyone. Whether you're simply curious, looking to expand your professional skills, or just want to understand the future unfolding around us, this Introduction to AI and Machine Learning on Google Cloud is your perfect starting point. You'll gain a solid, practical understanding of both generative and predictive AI and truly unlock the power of these transformative technologies. SPEAKER 1: I'm in. This sounds like exactly what I need to finally get AI. SPEAKER 2: Fantastic. Come join us, and turn your curiosity into capability. Your journey starts now.2. Let's practice!
Create Your Free Account
or
By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.