Summary
Full Transcript
AWS Certified AI Practitioner Exam — Domain 2: Fundamentals of Generative AI Welcome to Video 4 of our AWS Certified AI Practitioner series! In this video, we dive deep into the foundational concepts of generative AI, explore its wide-ranging use cases, and walk through the lifecycle of foundation models—from data selection to deployment. 📚 In this video, you will learn: ✅ Key generative AI concepts: tokens, embeddings, vectors, prompt engineering, transformers 🎨 Types of generative models: foundation models, multi-modal models, diffusion models 🔍 Real-world use cases: image/video/audio generation, chatbots, translation, code generation 🔄 Foundation model lifecycle: data selection, pre-training, fine-tuning, evaluation, deployment 💡 Key Takeaways: Build a strong understanding of how generative AI works and where it adds value in business and technology. 📺 Watch Next: Video 5 will cover Understanding the capabilities and limitations of generative AI for solving business problems — including adaptability, hallucinations, model selection, and business metrics like conversion rate and customer lifetime value. 🔔 Subscribe to stay updated with the full guided series and ace your AWS Certified AI Practitioner exam! 👍 Like, Share, and Comment if this video helped you understand generative AI fundamentals! #AWS #AIPractitioner #GenerativeAI #FoundationModels #MachineLearning #ArtificialIntelligence #AWSCertification #PromptEngineering #DiffusionModels #CLFAI01 #CloudComputing
Continue this lesson in the app
Install CourseHive on Android or iOS to keep learning while you move.
