AWS Tools and Services for AI

Overview

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Welcome to the course : AWS Tools and Services for AI This course is designed to equip you with hands-on skills in using AWS AI services and tools to build, deploy, and optimize AI applications. Whether you are an AI enthusiast, developer, or data scientist, this course provides a good grounding in AI technologies, from generative AI to advanced model fine-tuning. This course is the second course of the 3 courses specialization - AWS Certified AI Practitioner. In this course, you'll explore Amazon Bedrock, understand Large Language Models (LLMs), and master prompt engineering techniques to optimize AI interactions. Dive into Retrieval-Augmented Generation (RAG), AWS AI-managed services like Amazon Polly, Comprehend, Transcribe and many more. You'll also gain practical experience with AWS tools for model training, evaluation, and deployment, including Amazon Q and Bedrock. We will learn Prompts, Prompt Engineering and how to adjust hyperparameters to get desired results in Gen-AI. This course will effectively guide you to use various AWS services for AI and Gen-AI. Enroll now to: • Master AWS AI services like Amazon Bedrock, Transcribe, Amazon Q, Lex, Comprehend, Polly and many more. • Explore Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering. • Gain hands-on experience with AWS-managed AI services through hands-on demos

Syllabus

Fundamentals of Generative AI

This module introduces the core principles of Generative AI, covering foundational concepts, language models, and prompt engineering. Learners also explore practical applications using Amazon Bedrock and Amazon Q.

RAG (Retrieval-Augmented Generation) and Optimizing AI Model

This module explores how Retrieval-Augmented Generation (RAG) enhances AI responses with relevant data and how to optimize AI models for performance and efficiency using AWS AI services.