Overview
The Machine Learning Rock Star - the End-to-End Practice Specialization is offered by Coursera in partnership with SAS.
What you'll learn
Lead ML: Manage or participate in the end-to-end implementation of machine learning
Apply ML: Identify the opportunities where machine learning can improve marketing, sales, financial credit scoring, insurance, fraud detection, and much more
Greenlight ML: Forecast the effectiveness of and scope the requirements for a machine learning project and then internally sell it to gain buy-in
Regulate ML: Manage ethical pitfalls, the risks to social justice that stem from machine learning – aka AI ethics
Skills you'll gain
- Predictive Analytics
- Ethics Of Artificial Intelligence
- Artificial Intelligence (AI)
- Data Science
- Machine Learning
- Machine learning strategy and leadership
- Machine Learning (ML) Algorithms
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from SAS
Get more details
Visit programme websiteProgramme Structure
Courses included:
- The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats
- Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership
- Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 months
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
Disciplines
Artificial Intelligence Machine Learning View 144 other Short Courses in Artificial Intelligence in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months.
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Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.