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LinkedIn Learning

AI Pricing: A Technical Breakdown of the Cost and Revenue Opportunities

via LinkedIn Learning

Overview

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Learn about the total cost of ownership of operating AI models in a business environment.

Syllabus

Introduction
  • Considering the cost of AI
1. Build vs. Buy
  • Framing build vs. buy in an AI context
  • Setup vs. ongoing costs
  • Selecting the right models for the tasks
  • SaaS, PaaS, and IaaS in the context of AI
2. Costs of Using an AI API
  • Introduction to AI as an API
  • Introduction to AI as a platform
  • Setup costs for AI APIs
  • Ongoing costs for AI APIs
  • Estimating cost for a translation feature
  • Estimating cost for a RAG solution: What is RAG?
  • Estimating cost for a RAG solution: Costs of RAG
  • Estimating costs for an image generation feature
  • Challenge: Estimating the cost of a book summarization
  • Solution: Estimating the cost of a book summarization
3. Examining Major Vendor Pricing
  • Diving into ChatGPT pricing (OpenAI)
  • Diving into Anthropic-based pricing
  • Diving into Google AI pricing
  • Diving into AWS Bedrock pricing
  • Diving into Azure AI-based pricing
  • Diving into Hugging Face-based pricing
4. Costs of Training AI
  • Overview of technical components and tooling
  • Setting up an AI training cluster
  • Cost of compute for training AI models
  • Data cleanliness and sourcing
  • Data movement and storage
  • AI model training iteration and evaluation
  • Tracking AI experiments
  • Fine-tuning models
  • Hiring the team that trains the models
  • Challenge: Training AI for your enterprise
  • Solution: Training AI for your enterprise
  • Challenge: Training AI for your start-up
  • Solution: Training AI for your start-up
5. Costs of Hosting AI
  • Hosting and running your AI models
  • Running your own models or outsourcing
  • Choosing the right hardware for AI models
  • Logging and monitoring AI inference
  • Hiring the team for AI inference
  • Challenge: Running AI for your start-up
  • Solution: Running AI for your start-up
  • Challenge: Running AI for your enterprise
  • Solution: Running AI for your enterprise
6. Other Costs
  • AI copyright and legal risks
  • AI reputational risks
  • AI security risks
  • AI impact on service level agreements
  • AI's environmental impacts
7. Revenue-Generating Models
  • Unit and margin pricing for AI
  • Time consumption pricing for AI
  • Value-based pricing for AI
  • Subscription pricing for AI
  • Start-up funding and grant programs for AI
  • Challenge: Pricing your logo generator
  • Solution: Pricing your logo generator
  • Building a business case for AI projects
  • Building a financial projection for AI projects
  • Challenge: Building an AI business case
  • Solution: Building an AI business case
Conclusion
  • Next steps

Taught by

Denys Linkov

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