AI Pricing and ROI: A Technical Breakdown

Course details

There has been an immense interest in generative AI recently, but many organizations struggle to understand and forecast cost and revenue opportunities. If you’re creating or approving AI budgets, you’ll want to know the details. In this course, Denys Linkov breaks down the cost factors of operating AI models in a business environment. He addresses key questions like how to weigh a build versus buy decision, risk tradeoffs, how to build a team to support an AI initiative, and methodologies for recouping costs and monetizing.

Concepts

0. Introduction

01 - Considering the cost of AI

1. Build vs. Buy

02 - Framing build vs. buy in an AI context
03 - Setup vs. ongoing costs
04 - Selecting the right models for the tasks
05 - SaaS, PaaS, and IaaS in the context of AI

2. Costs of Using an AI API

06 - Introduction to AI as an API
07 - Introduction to AI as a platform
08 - Setup costs for AI APIs
09 - Ongoing costs for AI APIs
10 - Estimating cost for a translation feature
11 - Estimating cost for a RAG solution - What is RAG
12 - Estimating cost for a RAG solution - Costs of RAG
13 - Estimating costs for an image generation feature
14 - Challenge - Estimating the cost of a book summarization
15 - Solution - Estimating the cost of a book summarization

3. Examining Major Vendor Pricing

16 - Diving into ChatGPT pricing (OpenAI)
17 - Diving into Anthropic-based pricing
18 - Diving into Google AI pricing
19 - Diving into AWS Bedrock pricing
20 - Diving into Azure AI-based pricing
21 - Diving into Hugging Face-based pricing

4. Costs of Training AI

22 - Overview of technical components and tooling
23 - Setting up an AI training cluster
24 - Cost of compute for training AI models
25 - Data cleanliness and sourcing
26 - Data movement and storage
27 - AI model training iteration and evaluation
28 - Tracking AI experiments
29 - Fine-tuning models
30 - Hiring the team that trains the models
31 - Challenge - Training AI for your enterprise
32 - Solution - Training AI for your enterprise
33 - Challenge - Training AI for your start-up
34 - Solution - Training AI for your start-up

5. Costs of Hosting AI

35 - Hosting and running your AI models
36 - Running your own models or outsourcing
37 - Choosing the right hardware for AI models
38 - Logging and monitoring AI inference
39 - Hiring the team for AI inference
40 - Challenge - Running AI for your start-up
41 - Solution - Running AI for your start-up
42 - Challenge - Running AI for your enterprise
43 - Solution - Running AI for your enterprise

6. Other Costs

44 - AI copyright and legal risks
45 - AI reputational risks
46 - AI security risks
47 - AI impact on service level agreements
48 - AI's environmental impacts

7. Revenue-Generating Models

49 - Unit and margin pricing for AI
50 - Time consumption pricing for AI
51 - Value-based pricing for AI
52 - Subscription pricing for AI
53 - Start-up funding and grant programs for AI
54 - Challenge - Pricing your logo generator
55 - Solution - Pricing your logo generator
56 - Building a business case for AI projects
57 - Building a financial projection for AI projects
58 - Challenge - Building an AI business case
59 - Solution - Building an AI business case

8. ROI on AI Use Cases

60 - ROI on AI customer support automation
61 - ROI on AI lead generation
62 - ROI on AI Developer tooling
63 - ROI on AI Copilots

Conclusion

64 - Next steps