DevOps and AI on AWS: Upgrading Apps with Generative AI

Übersicht

Explore the intersection of DevOps and Generative AI on AWS in this hands-on course. Learn to enhance existing applications with powerful AI features using Amazon Bedrock's large language models (LLMs).

You'll gain practical experience in implementing customized text generation, mastering prompt engineering, and applying advanced techniques like fine-tuning and Retrieval Augmented Generation (RAG).

Lehrplan

• Introduction to DevOps and Generative AI
Overview of DevOps principles
Introduction to Generative AI
Importance of AI in modern applications
• Understanding AWS for AI Applications
Overview of AWS services
Introduction to Amazon Bedrock
Setting up your AWS environment
• Overview of Large Language Models (LLMs)
Basics of LLMs
Applications and use cases
Introduction to Amazon Bedrock's LLMs
• Enhancing Applications with Generative AI
Use cases for AI enhancement
Identifying opportunities for AI integration
Planning your AI-driven application upgrade
• Introduction to Prompt Engineering
Fundamentals of crafting effective prompts
Techniques for improving prompt results
Hands-on exercises with prompt engineering
• Implementing Text Generation with LLMs
Basics of text generation
Integrating LLM capabilities into applications
Best practices for leveraging text generation
• Advanced Techniques in AI Application Development
Fine-tuning models for specific tasks
Exploring Retrieval Augmented Generation (RAG)
Practical applications of fine-tuning and RAG
• Hands-on Lab: Building AI Enhanced Features
Step-by-step guide to integrating AI features
Customizing models for specific business needs
Troubleshooting and optimizing AI systems
• Case Studies and Real-world AI Implementations
Analyzing successful AI implementations
Lessons learned from real-world examples
Identifying common pitfalls and how to avoid them
• Final Project: Upgrading an Application with AI
Project overview and requirements
Designing an AI enhancement plan
Implementing and presenting your upgraded application
• Course Conclusion and Future of AI in DevOps
Summary of key concepts learned
Discussion on the future trends in AI and DevOps
Resources for continued learning and development

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Unterrichtet von

Russell Sayers, Rafael Lopes and Morgan Willis

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Fachgebiete

Programming