Additional information
| Course Page | https://www.udacity.com/course/natural-language-processing-nanodegree–nd892 |
|---|---|
| Program Length | 3 Months At 10-15 hrs/week |
| Instructors | Luis Serrano, Jay Alammar, Arpan Chakraborty, Dana Sheahen |
| 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 | To succeed in this Nanodegree program, we recommend you first take any course in Deep Learning equivalent to our Deep Learning Nanodegree program. You also need to be able to communicate fluently and professionally in written and spoken English. Additionally, you should have the following knowledge: Intermediate Python programming knowledge, including: Strings, numbers, and variables Statements, operators, and expressions Lists, tuples, and dictionaries Conditions & loops Generators & comprehensions Procedures, objects, modules, and libraries Troubleshooting and debugging Research & documentation Problem solving Algorithms and data structures Basic shell scripting: Run programs from a command line Debug error messages and feedback Set environment variables Establish remote connections Basic statistical knowledge, including: Populations, samples Mean, median, mode Standard error Variation, standard deviations Normal distribution Intermediate differential calculus and linear algebra, including: Derivatives & Integrals Series expansions Matrix operations through eigenvectors and eigenvalues |
| Who is this course for? | If your goal is to become an expert in Natural Language Processing (NLP), this program is ideal for you. Over the course of this program, you’ll become an expert in the main components of NLP, including speech recognition, sentiment analysis, and machine translation. You’ll learn cutting edge probabilistic and deep learning models, code them and train them on real data, and build a career-ready portfolio as an NLP expert! |
| Pricing | $399 per month |
| 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. |
Reviews
There are no reviews yet.