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Unlock the full potential of Amazon Bedrock by mastering the art and science of prompt engineering! In this hands-on tutorial, we break down everything you need to know to optimize your prompts for better accuracy, creativity, and performance when working with foundation models on Bedrock. 🎯 What You’ll Learn: What is Prompt Engineering & Why It Matters on Bedrock Understanding Model Parameters: 🔹 Temperature – Controlling randomness 🔹 Top P (Nucleus Sampling) – Balancing diversity 🔹 Top k – Narrowing down token selection Techniques to Structure Effective Prompt. Prompt Optimization for Use Cases: Q&A, Text Generation, Chatbots Real-World Demos with Amazon Bedrock’s Console. 🧠 Whether you’re a developer, data scientist, or AI enthusiast, this video will elevate your generative AI skills using Amazon Bedrock’s powerful foundation models like Anthropic Claude, AI21, Amazon Nova and Mistral and more. KnoDAX books related to AWS Certified AI Practitioner exam: AWS Certified AI Practitioner Exam Prep and Study Guide: Comprehensive Coverage of all Exam Domains | 3 Full-length Practice Tests with Answer Analysis | Exam Key Points | Lab Exercises: https://www.amazon.com/dp/B0DZTXPK2P AWS Certified AI Practitioner Exam Notes & Practice Tests: 8 Full-Length Practice Exams with Answer Analysis | 500+ Practice Questions | Key Exam Notes: https://www.amazon.com/dp/B0DZW89V2B 🔔 Don’t forget to subscribe for more in-depth tutorials on AWS and GenAI tools! #amazonbedrock #promptengineering #AmazonBedrock #GenerativeAI #AWS #ArtificialIntelligence #MachineLearning
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