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: 鈥� Master AWS AI services like Amazon Bedrock, Transcribe, Amazon Q, Lex, Comprehend, Polly and many more. 鈥� Explore Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering. 鈥� Gain hands-on experience with AWS-managed AI services through hands-on demos
AWS AI Managed Services Part-2
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Skills You'll Learn
Artificial Intelligence and Machine Learning (AI/ML), Prompt Engineering, OpenAI, Natural Language Processing, Generative AI, Predictive Modeling, AWS SageMaker, Amazon Web Services, Image Analysis, Large Language Modeling, ChatGPT, Artificial Intelligence
From the lesson
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.
Taught By
LearnKartS