Additional information
| Course Page | https://www.udacity.com/course/machine-learning-dev-ops-engineer-nanodegree–nd0821 |
|---|---|
| Program Length | 4 Months At 10 hours/week |
| Instructors | Joshua Bernhard, Giacomo Vianello, Justin Clifford Smith, PhD, Bradford Tuckfield, Ulrika Jägare |
| Cohort-Based Course? | yes |
| Course Features | -Real-world projects from industry experts With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want. -Technical mentor support Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track. -Career services You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role. -Flexible learning program Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you. |
| Program Format | Recorded |
| Prerequisites | A well-prepared student will already be familiar with: The data science process and overall workflow of building machine learning models Using Jupyter notebooks to solve data science-related problems Writing scripts using NumPy, pandas, Scikit-learn, TensorFlow/PyTorch in Jupyter notebooks that clean data (as part of ETL), feed it into a machine learning model and validate the performance of the model Using the Terminal, version control in Git, and using GitHub |
| Who is this course for? | This course is for individuals who recognize the importance of machine learning model deployment but struggle to push the models they have developed in modeling environments to production to be self-functioning |
| Pricing | Yes |
| Financing Options | 1. Learn now, pay later with affirm 2. Buy with payments as low as $113 per month at 0% APR 3. Pay monthly using bank, check or debit card. |
| Refund Policy | You can cancel and unenroll within the first 2 days from your first month’s subscription purchase date in order to be eligible for a full refund. Unless you have graduated from the Nanodegree program, single paid course, or Executive Program within this timeframe. Only one refund may be granted per student per Nanodegree program, single paid course, or Executive Program. If you cancel your subscription and subsequently re-enroll for the same program or course, you will not be entitled to an additional 2-day refund period. You may cancel your subscription at any time after this 2-day refund period and you will not be charged again after the billing period in which you cancelled. You will remain actively enrolled in the program until the end of this billing period. |
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