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Course Content
Introduction to Generative AI for FinOps
Overview of generative AI and its application in FinOps, presented by Rich Hoyer, a seasoned FinOps expert.
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Introduction to Generative AI in FinOps: Enhancing Financial Operations
Our Focus: Generative AI / NLP
Generative AI vs. Traditional Automation: A Comparative Analysis for FinOps
Deterministic Automation Versus AI: Demo Part I
Deterministic Automation Versus AI: Demo Part II
Deterministic Automation Versus AI: Demo Part III
Large Language Models (LLM) Details
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Prompt Engineering
Retrieval Augmented Generation (RAG) in FinOps
Fine Tuning your model
Options For Local Deployment
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Exploring Deployment Options for AI Models in FinOps
Exploring AI Model Deployment Options
Managing Deployment Challenges for AI Models
Embracing Serverless Solutions for FinOps: A Production Perspective
Key Considerations for Deploying Serverless Solutions
Application: Best Practice Codification
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Codifying and Centralizing FinOps Best Practices for Enhanced Efficiency
Setup of Bedrock For FinOps Knowledge Codification
Demonstration of FinOps Knowledge Codification: Cost Segmentation Practices
Demonstration of FinOps Knowledge Codification (Continued)
Demonstration of FinOps Knowledge Codification (Continued)
Demonstration of FinOps Knowledge Codification (Continued)
Demonstration of Code Snippet Retrieval
Application: Data Analytics & Integration
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Introduction to Natural Language SQL for Cloud Cost Analysis
Demo of Natural Language SQL in BigQuery
Demo of Natural Language SQL in BigQuery (Continued)
Conclusion
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Integrating LLMs With Multiple Platforms
Automating FinOps Procedures with AI for Proactive Cost Management
Final Thoughts: Harnessing the Power of Generative AI in FinOps
Generative AI for FinOps by Rich Hoyer
About Lesson

This section demonstrates setup of a knowledge base in Amazon Bedrock for the demo to follow, which will contrast generative AI with deterministic automation. 

Key Takeaways:

  • Creating a knowledge base with Amazon Bedrock.
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