About this Course
The next generation of cloud applications is powered by intelligent systems—and AWS Tools and Services for AI is your gateway into building them. This course takes you from the core foundations of Generative AI into the technologies that drive modern innovation. You’ll explore diffusion models for content generation, transformer-based Large Language Models (LLMs) behind conversational AI, and multi-modal models that unify text, images, and data into a single intelligent pipeline. You’ll then step into enterprise-grade AI development using foundation models with Amazon Bedrock, master high-impact prompt creation through structured prompt engineering, and accelerate productivity with AI-powered assistance from Amazon Q. The journey advances into Retrieval-Augmented Generation (RAG), where models learn from real-time data—along with its strengths and limitations. You’ll work with AWS AI managed services, select the right AWS databases for embedding storage, apply model evaluation techniques, and learn how to continuously evaluate and refine models after deployment. By the end, you won’t just learn AI—you’ll be ready to deploy it with confidence at scale
What You'll Learn
- Understand generative AI foundations including diffusion models and multi-modal systems
- Build enterprise AI solutions with Amazon Bedrock and structured prompt engineering
- Implement Retrieval-Augmented Generation and evaluate its strengths and limitations
- Deploy scalable AI solutions using AWS services and select suitable databases
Prerequisites
- Basic familiarity with AI terminology
- Readiness to practice through applied exercises or case studies
Instructors
LearnKartS