Successful AI projects start with clarity, not code. This short, hands-on course helps you turn vague business goals into structured, measurable, and feasible AI problem statements. You’ll learn to evaluate whether your data is ready for modeling, estimate labeling requirements, and identify early risks such as imbalance, poor quality, or limited resources. Using real-world scenarios, you’ll apply the SMART framework to define objectives that are specific, measurable, achievable, relevant, and time-bound. By connecting business outcomes with technical success metrics like precision and recall, you’ll gain the confidence to frame AI projects that deliver measurable impact and align teams from idea to implementation.
Frame AI Problems: Objectives to Metrics
Gain next-level skills with Coursera Plus for $199 (regularly $399). Save now.
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
2 hours to complete
Flexible schedule
Learn at your own pace
Skills you'll gain
- Needs Assessment
- Business Metrics
- Requirements Analysis
- Feasibility Studies
- Project Design
- Goal Setting
- Business Priorities
- Project Scoping
- Smart Goals
- Model Evaluation
- AI Enablement
- Key Performance Indicators (KPIs)
- Due Diligence
- Risk Analysis
- Data Preprocessing
- Business Requirements
- Performance Metric
- Project Risk Management
- Business Risk Management
- Project Estimation
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
January 2026
Taught in English
See how employees at top companies are mastering in-demand skills
There is 1 module in this course
Successful AI projects start with clarity, not code. This short, hands-on course helps you turn vague business goals into structured, measurable, and feasible AI problem statements. You’ll learn to evaluate whether your data is ready for modeling, estimate labeling requirements, and identify early risks such as imbalance, poor quality, or limited resources. Using real-world scenarios, you’ll apply the SMART framework to define objectives that are specific, measurable, achievable, relevant, and time-bound. By connecting business outcomes with technical success metrics like precision and recall, you’ll gain the confidence to frame AI projects that deliver measurable impact and align teams from idea to implementation.
What's included
4 videos5 readings6 assignments
Instructor
Offered by
Explore more from Leadership and Management
Status: Preview
Status: Preview
Status: Preview
Status: Preview
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
More questions
Financial aid available,
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.