Course Overview

The natural language processing (NLP) in Google Cloud is all about processing and finding the meaning of the text with a particular form of classification. This is used in automatically classifying the customer categories present on Google-based needs. The course hence helps in introducing the products and solutions in order to solve the NLP on Google Cloud. Along with it, it explores the process, techniques, and tools that will help in developing NLP by using neural networks, vertex AI, and TensorFlow.

With the completion of the course, students will be able to recognize NLP products. Moreover, they will be able to create an end-to-end NLP workflow using AutoML(Machine Learning) and vertex AI. Furthermore, students can build models based on NLP models that includes DNN[A1] (Deep Neural Networks), and GRU[A2] (Gated Recurrent Units) by using TensorFlow. Finally, they will be able to understand the models such as encoder, attention mechanics, transformers and BERT (Bidirectional encoder representations from transformers). Lastly, they will understand transfer learning by applying models to solve problems associated with NLP.

What you'll learn

• Natural Language Processing on Google Cloud
• Learn about techniques of Natural Language Processing in approximately 13 hours.

Requirements

• Basic knowledge of SQL.
• A computer or laptop with internet connectivity.
• Flexible work schedule.

AccessToCareer Resources with Natural Language Processing on Google Cloud Course

Enroll Free

Enhanced Employability:

An outstanding Natural Language Processing on Google Cloud Program that increases your chances of landing the best jobs.

Competitive Advantage:

An opportunity to stand out from the competition and make a more significant impression on potential employers.

Skill Validation:

Robust validation of Natural Language Processing skills confirms that you can complete all related tasks.

Networking Opportunities:

Managing Natural Language Processing on Google Cloud courses provides ample networking opportunities for participants. Learners can connect with classmates and industry professionals through cooperative exercises, group discussions, and interactive seminars.