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Enterprise GENERATIVE AI Well-Architected Framework & Patterns
Enterprise GENERATIVE AI Well-Architected Framework & Patterns

Enterprise GENERATIVE AI Well-Architected Framework & Patterns: An Architect's Real-life Guide to Adopting Generative AI in Enterprises at Scale

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Profile Icon Suvoraj Biswas
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€7.99
eBook Apr 2024 113 pages 1st Edition
eBook
€7.99
Arrow left icon
Profile Icon Suvoraj Biswas
Arrow right icon
€7.99
eBook Apr 2024 113 pages 1st Edition
eBook
€7.99
eBook
€7.99

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Key benefits

  • Learn to secure AI environments
  • Achieve excellence in AI architecture
  • Implement AI with AWS solutions

Description

The course begins with an insightful introduction to the burgeoning field of Generative AI, laying down a robust framework for understanding its applications within the AWS ecosystem. The course focuses on meticulously detailing the five pillars of the AWS Well-Architected Framework—Operational Excellence, Security, Compliance, Reliability, and Cost Optimization. Each module is crafted to provide you with a comprehensive understanding of these essential areas, integrating Generative AI technologies. You'll learn how to navigate the complexities of securing AI systems, ensuring they comply with legal and regulatory standards, and designing them for unparalleled reliability. Practical sessions on cost optimization strategies for AI projects will empower you to deliver value without compromising on performance or scalability. Furthermore, the course delves into System Architecture Excellence, emphasizing the importance of robust design principles in creating effective Generative AI solutions. The course wraps up by offering a forward-looking perspective on the Common Architectural Pattern for FM/LLM Integration & Adoption within the AWS framework. You'll gain hands-on experience with AWS solutions specifically tailored for Generative AI applications, including Lambda, API Gateway, and DynamoDB, among others.

Who is this book for?

This course is designed for IT professionals, solutions architects, and DevOps engineers looking to specialize in Generative AI. A foundational understanding of AWS and cloud computing is beneficial.

What you will learn

  • Apply Operational Excellence in AI
  • Secure Generative AI implementations
  • Navigate compliance in AI solutions
  • Ensure reliability in AI systems
  • Optimize costs for AI projects
  • Integrate FM/LLM with AWS solutions

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Apr 04, 2024
Length: 113 pages
Edition : 1st
Language : English
ISBN-13 : 9781836202905
Category :

What do you get with eBook?

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Product feature icon Download this book in EPUB and PDF formats
Product feature icon DRM FREE - Read whenever, wherever and however you want

Product Details

Publication date : Apr 04, 2024
Length: 113 pages
Edition : 1st
Language : English
ISBN-13 : 9781836202905
Category :

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Table of Contents

43 Chapters
What is Generative AI? Chevron down icon Chevron up icon
What is the background of GenAI - Well Architected Framework? Chevron down icon Chevron up icon
Why do we need a Well Architected Framework for GenAI based Enterprise Use Case? Chevron down icon Chevron up icon
What are the pillars of the Well Architected Framework? Chevron down icon Chevron up icon
What are the building blocks for each pillar? Chevron down icon Chevron up icon
What is a Large Language Model? Chevron down icon Chevron up icon
What is a Foundation Model? Chevron down icon Chevron up icon
When should we be using the Foundation Model? Chevron down icon Chevron up icon
Introduction to Content Moderation building block: Chevron down icon Chevron up icon
What is AI Guardrails and How to integrate it? Chevron down icon Chevron up icon
Introduction to the Compliance Pillar: Chevron down icon Chevron up icon
Benefits of having an Archival for Compliance building block: Chevron down icon Chevron up icon
What are some solutions for Archiving AI & Human interactions for Regulatory Compliance? Chevron down icon Chevron up icon
The FM or LLM observability Building Block: Chevron down icon Chevron up icon
What are some LLM Observability Solutions? Chevron down icon Chevron up icon
Introduction Chevron down icon Chevron up icon
What are some best practices to optimize Cost during Architecting? Chevron down icon Chevron up icon
Prompt Engineering Chevron down icon Chevron up icon
Why Prompt Engineering plays a crucial role in the GenAI apps? Chevron down icon Chevron up icon
Some Best Practices for Effective Prompts: Chevron down icon Chevron up icon
Embedding & Vector Database Chevron down icon Chevron up icon
What are Embeddings and why are they so important? Chevron down icon Chevron up icon
What are OpenAI's Offerings on Embeddings? Chevron down icon Chevron up icon
What is a Vector Database & How do they really work? Chevron down icon Chevron up icon
Options of Vector Databases for Solutioning Chevron down icon Chevron up icon
The Orchestrator Building Block Chevron down icon Chevron up icon
Some Orchestrator Application framework for AI development: Chevron down icon Chevron up icon
Introduction Chevron down icon Chevron up icon
What is Retrieval-augmented generation (RAG) Pattern for GenAI? Chevron down icon Chevron up icon
Demo Time - a GenAI based QnA python app using RAG pattern (LangChain, PineCone & Open AI api) Chevron down icon Chevron up icon
What is Fine tuning? Chevron down icon Chevron up icon
Why do we need fine tuning? Can’t we use RAG for domain specific use cases? Chevron down icon Chevron up icon
Are Fine Tuning & Pre-Training referring to the similar process? Chevron down icon Chevron up icon
Foundation Model or Large Language Model fine-tuning techniques: Chevron down icon Chevron up icon
Parameter Efficient Fine Tuning: Chevron down icon Chevron up icon
What are some Enterprise Use cases where SFT/RLHF or PEFT can be used? Chevron down icon Chevron up icon
What is LoRA (Low Rank Adaptation Model) technique? Chevron down icon Chevron up icon
What are the advantages of the LoRA method in fine tuning LLM? Chevron down icon Chevron up icon
What is QLoRA (Quantized Low Rank Adaptation Model) ? Chevron down icon Chevron up icon
Vector Database & Semantic Search capabilities Chevron down icon Chevron up icon
How to run PostGreSQL with pgVector extension in EC2 ? Chevron down icon Chevron up icon
Overview of AWS Sagemaker and AWS Bedrock Chevron down icon Chevron up icon
Example Generative AI based Enterprise Product Search Architecture in AWS Chevron down icon Chevron up icon
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