Natural Language Processing (NLP) with BERT from Udemy

Are you ready to dive right into one of the most exciting developments in data science right now: Google’s breakthrough NLP algorithm, BERT.

Testing your skills with practical courses is one of the best and most enjoyable ways to learn data science…and now we’re giving you that chance for FREE.

Our new case study course: Natural Language Processing (NLP) with BERT shows you how to perform semantic analysis on movie reviews using data from one of the most visited websites in the world: IMDB.

Perform semantic analysis on a large dataset of movie reviews using the low-code Python library, Ktrain.

But, why is BERT so revolutionary?

Not only is it a framework that has been pre-trained with the biggest data set ever used, it is also remarkably easy to adapt to different NLP applications, by adding additional output layers. This allows users to create sophisticated and precise models to carry out a wide variety of NLP tasks.

AI expert Hadelin de Ponteves guides you through some basic components of Natural Language Processing, how to implement the BERT model and sentiment analysis, and finally, Python coding in Google Colab.

Here’s how this 1-hour case study course will unfold:

Part 1: Data Preprocessing

Loading the IMDB dataset
Creating the training and test sets

Part 2: Building the BERT model

Part 3: Training and evaluating the BERT model

Getting the learner instance
Training and evaluating the BERT model

Plus, you’ll do it all using Google’s Colab free, browser-based notebook environment that runs completely in the cloud. It’s a game-changing interface that will save you time and supercharge your data science toolkit.

If you’ve been waiting for a chance to put your NLP skills to the test then this is the opportunity you've been waiting for. Click the ‘Enroll Now’ button and see you inside.

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Read about what's good

what should give you pause

and possible dealbreakers

Provides a comprehensive study of one aspect of science, math, and technology

Taught by Hadelin de Ponteves, who is an AI expert

Takes a creative approach to an otherwise established topic, field, or subject

Offers hands-on labs and interactive materials

Belongs to series of other courses, as this may indicate comprehensiveness and detail

This course explicitly requires learners to come in with extensive background knowledge first

Reviews summary

Quick, practical introduction to bert nlp

According to learners, this course offers a highly practical and concise introduction to Natural Language Processing with BERT. Students find the course excellent for quick starts, appreciating the hands-on coding in Google Colab and the use of the Ktrain library for simplified BERT application. While many praise the clear explanations from the instructor and its efficiency for gaining a working example, some learners caution that its brevity means less deep theoretical coverage, making it better suited for those with some prior Python and machine learning knowledge.

Leverages Ktrain for simplified BERT model application.

"I found the Ktrain library makes it simple, perhaps too simple for understanding the underlying mechanisms."

"The Ktrain library integration was a revelation; it simplified BERT application for me."

"Using the Ktrain library helped me perform semantic analysis quickly without extensive coding."

Instructor provides clear, direct explanations.

"Hadelin explains concepts clearly and the hands-on coding in Colab is super useful."

"The instructor is clear and the Colab environment makes it easy to follow along."

"Hadelin's teaching style is direct and to the point, which I appreciated."

Delivers a quick overview, ideal for rapid learning.

"A good concise overview. It's only an hour, so don't expect deep theory, but it gets you up and running with Ktrain and BERT very fast."

"Fantastic quick course! If you want to see BERT in action without getting bogged down in intricate details, this is perfect."

"I needed a rapid introduction to BERT for a project and this course saved me hours. It's truly efficient."

Focuses on immediate, hands-on BERT implementation.

"This course is an excellent introduction to BERT for sentiment analysis. ... the hands-on coding in Colab is super useful. I appreciated the practical application focus..."

"I've been looking for a practical BERT implementation and this delivered. The course cut straight to the chase and provided a working example."

"I found the practical approach of this course very valuable; it showed me BERT in action effectively."

Prioritizes speed over in-depth theoretical understanding.

"If you're completely new to NLP, it might feel a bit fast. It skips some foundational knowledge that would be helpful."

"Too fast-paced and very superficial. I expected more depth on BERT's architecture. It felt like just running code without explaining 'why'."

"My only minor critique is that it could mention more about fine-tuning or other BERT applications briefly; I wanted more."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Natural Language Processing (NLP) with BERT with these activities:

Review Introduction to Machine Learning

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Recall the foundational concepts of machine learning, including supervised learning, to strengthen your understanding of BERT and its role in NLP.

Browse courses on Machine Learning Fundamentals

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Revise the basic principles of ML, such as supervised learning algorithms
Review examples of ML applications in NLP

Review Python Programming Concepts

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Go over the fundamental principles of Python programming to strengthen your understanding of syntax, data structures, and object-oriented programming concepts, which are essential for BERT implementation.

Browse courses on Python Basics

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Revise the fundamentals of Python Syntax (variables, data types, control flow)
Review the concepts of Python data structures (lists, tuples, dictionaries)
Explore Object-oriented programming principles (classes, objects, inheritance)

Read 'Natural Language Processing with PyTorch'

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Gain a deeper understanding of NLP concepts and techniques by reading this book, which provides a comprehensive overview of NLP with PyTorch.

View Natural Language Processing with PyTorch: Build... on Amazon

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Read chapters on NLP fundamentals and PyTorch basics
Study chapters on advanced NLP techniques, such as BERT

Two other activities

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Practice BERT coding exercises

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Reinforce your understanding of BERT and Python coding through hands-on exercises

Browse courses on BERT

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Find and download a set of coding exercises on BERT
Work through the exercises, following the instructions carefully
Test your solutions against the provided test cases
Debug any errors or issues you encounter

Create a BERT research compilation

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Develop a collection of resources, tools, and materials for the course

Browse courses on BERT

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Start with a literature review to identify key references on BERT
Compile a list of online resources, such as tutorials, articles, and videos
Gather examples of code and scripts that demonstrate the use of BERT
Organize and document your compilation in a structured format

Career center

Learners who complete Natural Language Processing (NLP) with BERT will develop knowledge and skills that may be useful to these careers:

Natural Language Processing Engineer

An NLP Engineer focuses on building and deploying NLP models. This course will help you build a solid foundation in BERT, one of the latest and most powerful NLP models. Building a solid foundation in BERT will allow you to build more sophisticated and precise models to carry out a wide variety of NLP tasks.

See salaries and explore the career path for Natural Language Processing Engineer

Data Scientist

Data Scientists leverage knowledge of computer science, math, and statistics to extract insights from data and solve problems. As such, a foundation in Natural Language Processing (NLP) is essential to allow for the extraction of meaning from text data to prepare it for modeling. This course will provide a solid foundation in BERT, one of the latest and most powerful NLP models, for use by Data Scientists.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

A Machine Learning Engineer designs, builds, deploys, and maintains machine learning models. As NLP is a subfield of machine learning engineers, this course will enhance your skillset by providing a solid foundation in BERT, one of the latest and most powerful NLP models. Having a solid foundation in BERT will help you build more sophisticated and precise models to carry out a wide variety of NLP tasks.

See salaries and explore the career path for Machine Learning Engineer

Data Analyst

Data Analysts use data to find trends and patterns to solve business problems. NLP is essential for data analysts who work with text data. This course will teach you how to perform semantic analysis on text data, which is a critical skill for data analysts.

See salaries and explore the career path for Data Analyst

Business Analyst

Business Analysts help businesses understand their needs and develop solutions to improve their operations. NLP can help Business Analysts understand customer feedback, analyze market trends, and identify new business opportunities. This course will provide you with a solid foundation in NLP, which can help you be more successful in your role.

See salaries and explore the career path for Business Analyst

Customer Success Manager

Customer Success Managers help customers achieve their goals with a product or service. NLP can help Customer Success Managers understand customer feedback, identify customer needs, and develop solutions to improve customer satisfaction. This course will provide you with a solid foundation in NLP, which can help you be more successful in your role.

See salaries and explore the career path for Customer Success Manager

Product Manager

Product Managers oversee the development and launch of new products. They need to have a deep understanding of the customer and the market. NLP can help Product Managers understand customer feedback and identify new product opportunities. This course will provide you with a solid foundation in NLP, which can help you be more successful in your role.

See salaries and explore the career path for Product Manager

Marketing Manager

Marketing Managers develop and execute marketing campaigns to promote products and services. NLP can help Marketing Managers understand customer feedback, analyze market trends, and identify new marketing opportunities. This course will provide you with a solid foundation in NLP, which can help you be more successful in your role.

See salaries and explore the career path for Marketing Manager

Sales Manager

Sales Managers lead and motivate sales teams to achieve sales targets. NLP can help Sales Managers understand customer feedback, analyze market trends, and identify new sales opportunities. This course will provide you with a solid foundation in NLP, which can help you be more successful in your role.

See salaries and explore the career path for Sales Manager

Content Writer

Content Writers create and edit written content for websites, blogs, and other marketing materials. NLP can help Content Writers understand their audience, identify keywords, and write engaging content. This course will provide you with a solid foundation in NLP, which can help you be more successful in your role.

See salaries and explore the career path for Content Writer

Project Manager

Project Managers plan, execute, and close projects. NLP can help Project Managers understand customer requirements, identify project risks, and develop project plans. This course will provide you with a solid foundation in NLP, which can help you be more successful in your role.

See salaries and explore the career path for Project Manager

UX Designer

UX Designers design and evaluate user interfaces. NLP can help UX Designers understand user needs, identify usability issues, and develop user-centered designs. This course will provide you with a solid foundation in NLP, which can help you be more successful in your role.

See salaries and explore the career path for UX Designer

Recruiter

Recruiters find and hire candidates for open positions. NLP can help Recruiters screen resumes, identify qualified candidates, and improve the hiring process. This course will provide you with a solid foundation in NLP, which can help you be more successful in your role.

See salaries and explore the career path for Recruiter

Operations Manager

Operations Managers oversee the day-to-day operations of a business. NLP can help Operations Managers improve efficiency, reduce costs, and improve customer satisfaction. This course will provide you with a solid foundation in NLP, which can help you be more successful in your role.

See salaries and explore the career path for Operations Manager

Software Engineer

Software Engineers apply the principles of computer science to design, develop, deploy, and maintain software systems. As such, because this course will teach you how to perform semantic analysis and build and train NLP models, it may be useful in giving you an edge over other candidates during the hiring process.

See salaries and explore the career path for Software Engineer