Udemy - AI ROI and Business Case - Measure Value, Risk, Costs and...

AI ROI & Business Case: Measure Value, Risk, Costs & KPIs

https://WebToolTip.com

Published 1/2026
Created by Data Universe
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 24 Lectures ( 2h 4m ) | Size: 1.45 GB

Master the 4-step framework to calculate ROI. Identify hidden costs, prioritize initiatives & secure executive approval

What you'll learn
✓ Master a systematic 4-step framework to calculate the ROI of AI projects and translate technical metrics into the financial language that management understands
✓ Identify and quantify both visible and hidden costs of AI implementation, from infrastructure and licenses to data preparation and organizational change
✓ Connect AI performance to business KPIs like revenue growth, cost reduction, and risk mitigation to justify investments and nstrate measurable impact
✓ Build a compelling business case for AI initiatives that secures executive approval by addressing feasibility, scalability, and long-term financial value
✓ Learn to measure real results after deployment by tracking post-launch KPIs to confirm if initial ROI projections are being met in production
✓ Apply a systematic prioritization method to filter AI ideas, focusing resources on initiatives with the highest potential for scalable business impact
✓ Discover the critical risks and "hidden killers" of AI projects to build proactive mitigation plans that secure long-term project viability
✓ Master the art of communicating AI value to non-technical stakeholders, ensuring clear alignment between technology investments and corporate strategy

Requirements
● There are no technical requirements or previous experience in data science or programming needed to take this course because we focus on the strategic and financial evaluation of AI from a business perspective.
● This program is designed to be accessible to everyone regardless of their professional background as long as they have an interest in learning how to measure and justify the real value of technology investments
● Having a basic understanding of business concepts and a standard level of proficiency with office tools like spreadsheets will help you better follow the practical examples and ROI templates provided
● You only need a computer with an internet connection and a curious mindset to learn how to translate complex AI projects into the clear financial language that managers and executives expect.