Generative AI for FinOps by Rich Hoyer

Categories: GenAI & FinOps
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About Course

The “Generative AI for FinOps” course is designed to enhance financial operations through the integration of advanced AI technologies. This comprehensive course covers the fundamental concepts and practical applications of generative AI in the FinOps landscape, providing participants with the tools and knowledge to optimize cloud cost management and financial decision-making processes.

In the Introduction to Generative AI for FinOps section, learners will explore the role of generative AI in enhancing FinOps processes and managing AI spending. Participants will gain insights into how AI can streamline financial operations and the speaker’s extensive experience in the FinOps space. The course then delves into Prompt Engineering, emphasizing the importance of crafting specific queries to obtain desired outputs from AI models. This section highlights how different phrasings can lead to varied results, crucial for effective AI utilization.

The course also introduces Retrieval Augmented Generation (RAG), a technique allowing AI models to access additional external information, enhancing their responses with business-specific knowledge. Learners will understand the benefits of RAG in integrating AI with existing FinOps systems. Additionally, the Fine-Tuning AI Models section covers advanced customization techniques, addressing the challenges and benefits of fine-tuning AI models for specific tasks.

Practical Deployment of AI Models provides strategies for securely and efficiently deploying AI models, including local deployment and using AWS services. The course further demonstrates the capabilities of generative AI, comparing deterministic automation with AI’s ability to create new content. Learners will explore various AI model deployment options, including open-source and cloud-based solutions, and practical applications of Amazon Bedrock for managing cloud costs in FinOps.

In subsequent sections, participants will be shown concrete applications of generative AI for FinOps, including codification of FinOps best practices, natural language SQL, and the notion of automating FinOps procedures will be explored. The final sections summarize the benefits of generative AI in FinOps, emphasizing the importance of careful planning and pilot testing.

By the end of this course, learners will be equipped with the knowledge and skills to leverage generative AI for optimized financial operations, ensuring efficient and effective cloud cost management in their organizations.

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What Will You Learn?

  • Welcome to "Generative AI for FinOps," a comprehensive course powered by FinOptik and led by Rich Hoyer. This course delves into the transformative potential of generative AI technologies in the realm of financial operations (FinOps). Rich Hoyer, a seasoned FinOps expert, guides you through the intricacies of large language models (LLMs) and how they can be harnessed to augment and optimize your FinOps processes.
  • Throughout this course, you will gain a deep understanding of the differences between traditional deterministic automation and generative AI. Rich will demonstrate the practical applications of AI, from codifying organizational knowledge to natural language SQL for data interrogation. With real-world examples and detailed demos, you will see how AI can revolutionize your approach to managing cloud costs, improving efficiency, and enhancing decision-making processes.

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