Deep learning methods are achieving state-of-the-art results on challenging machine learning problems, such as describing photos and translating text from one language to another. Introduction to Natural Language Processing (NLP) is a highly-focused, hands-on deep learning course - written by developers, for developers – that cuts through the excess math, research papers and patchwork descriptions about natural language processing to deep dive into the technology in a meaningful, practical way to gain real world skills to leverage on the job right after the training ends.
Working in a hands-on learning environment led by our expert Deep Learning practitioner, using clear explanations and standard Python libraries, students will explore step-by-step what natural language processing is, the promise of deep learning in the field, how to clean and prepare text data for modeling and how to develop deep learning models for your own natural language processing projects.
This “skills-centric” course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern "on-the-job" modern deep learning experience into every classroom and hands-on project. In this course Students will explore:
Hands-on Projects
Neural Network Models
Need different skills or topics? If your team requires different topics or tools, additional skills or custom approach, this course may be easily adjusted to accommodate. We offer additional related Machine Learning, AI, Deep Learning, data science, programming (Python, R, Java, Scala etc.) and development courses which may be blended with this course for a track that best suits your learning objectives. Our team will collaborate with you to understand your needs and will target the course to focus on your specific learning objectives and goals.
This in an intermediate and beyond-level course is geared for experienced developers or others (with prior Python experience) intending to start using learning about and working with Natural Language Processing soon after they attend this course. Attendees should be experienced developers who are comfortable with Python programming. Students should also be able to navigate Linux command line, and who have basic knowledge of Linux editors (such as VI / nano) for editing code
Students should have attended or have incoming skills equivalent to those in this course:
Take Before: We recommend attendees have the skills in the course(s) listed below, or attend them as a pre-requisite:
Please see the Related Courses tab for specific Pre-Requisite courses, Related Courses or Follow On training options. Our team will be happy to help you with recommendations for next steps in your Learning Journey.
Please note that this list of topics is based on our standard course offering, evolved from typical industry uses and trends. We’ll work with you to tune this course and level of coverage to target the skills you need most. Topics, agenda and labs are subject to change, and may adjust during live delivery based on audience needs and skill-level.
Student Materials: Each participant will receive a Student Guide with course notes, code samples, software tutorials, step-by-step written lab instructions, diagrams and related reference materials and resource links. Students will also receive the project files (or code, if applicable) and solutions required for the hands-on work.
Hands-On Setup Made Simple! Our dedicated tech team will work with you to ensure our ‘easy-access’ cloud-based course environment is accessible, fully-tested and verified as ready to go well in advance of the course start date, ensuring a smooth start to class and effective learning experience for all participants. Please inquire for details and options
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Please see the current upcoming available open enrollment course dates posted below. Please feel free to Register Online below, or call 844-475-4559 toll free to connect with our Registrar for assistance. If you need additional date options, please contact us for scheduling.
Course Title | Days | Date | Time | Price | |
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Introduction to Natural Language Processing (NLP) – Deep Learning | 4 Days | Jun 20 to Jun 23 | 10:00 AM to 06:00 PM EST | $2,595.00 | Enroll |
Introduction to Natural Language Processing (NLP) – Deep Learning | 4 Days | Sep 12 to Sep 15 | 10:00 AM to 06:00 PM EST | $2,595.00 | Enroll |
Introduction to Natural Language Processing (NLP) – Deep Learning | 4 Days | Dec 4 to Dec 7 | 10:00 AM to 06:00 PM EST | $2,595.00 | Enroll |
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