Natural Language Processing (NLP) with BERT (Udemy.com)
Movies reviews Semantic analysis using BERT
Created by: Hadelin de Ponteves
Last updated June 2026
What you will learn
- Natural Language Processing
- How to implement the BERT model
- Sentiment Analysis
- How to code in Python with Google Colab
Course Description
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!
Instructor Details
- 4.2 Rating
1,562 Reviews
Hadelin de Ponteves
Hadelin is one of Udemy’s top instructors and a recognized leader in AI education. He has taught AI to over 2.6 million learners worldwide and is a frequent guest speaker at prominent industry events. Hadelin has created more than 30 top-rated courses on topics such as AI, Machine Learning, Deep Learning, Blockchain, and Cloud Computing, empowering learners around the globe to upskill in cutting-edge technologies.
In addition to his partnership with Udemy, Hadelin is the co-founder of CloudWolf and SuperDataScience. He is passionate about education and is on a mission to make complex technologies simple, practical, and widely accessible to all.
As a side activity, he is also an actor who acted in seven films, and a movie producer of two films (Indian and French).
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Reviews
By Nebojsa Jovanovic on 11/10/2022
I really enjoy the format of these courses as I get the skeleton of the collab and the data I will work on, and I can focus on learning the actual intuition and the implementation
By Suresh Krishnan on 3/26/2022
I was excited when I came across this from Hadelin de Ponteves. He is one of my favorites I look forward to in AI. I expected the dataset anad the problem to be explained in detail, the prediction we are making and also the output as predictions after we run the BERT model. Maybe this is a free course its not covered.
By Murali Chandrasekhar Tadanki on 3/16/2022
Font was too small to read. When I used a large monitor, the video resolution is poor to read the text. Hence only 4/5 stars. Otherwise, the content is very good. It is practical, aided by good explanation.
By Mike Saouda on 6/29/2021
I tried Bert on my local CPU: I had to reboot 4 times. I finally gave up on Bert and Distilbert. The standard 3 dense layer (binary_crossentropy) got me to 88% accuracy with a lot less headache. I guess that I'll try this on CoLab. Maybe. Hadelin could mention the learning rate plot.
By Ahmed Khalaf on 3/26/2021
To be honest, when I purchased the machine learning course I never thought it would include different introductory courses about the various implementation of machine learning. This course was simple and brief. Still, it opened my eyes to a big challenging field full of opportunities. I like it!
By Frederick Zhang on 2/26/2021
As a free Udemy course, it is understandable that the content is limited. However, time should have been made for even just a bit of theory. On top of that, nothing was done with the trained model at the end. It would have been nice to see it put to use to predict new data. Nonetheless, the creators should be thanked for making the effort to deliver free knowledge.
By Owen on 11/4/2020
Easy to folow step but not very clear as to why some steps are being done. perhsaps mroe suited to someone with more previous experience in programming. i am a beginner to i could follow instructions ok but couldnt apply to a different scenario than the one provided.
By Sean Richards on 7/27/2020
Hadelin de Ponteves is an excellent instructor. I understand this is an introductory course, but it still had many technical parts to it which made it more interesting. I can't wait to take more courses from him.
By Ajitkumar Poolathodiyil on 5/10/2020
Thank you for offering the NLP with BERT model course free. I think the visualization of this data model would be interesting to watch too or even a word tag cloud. I am sure R has a similar version of the Ktrain library also. Keep up the great work Hadelin. Merci bien. Ajit
By MANOJ KUMAR on 4/26/2020
This is awesome course and the best part, it's free. One suggestion to authors of this course: Please create another free course just to explain the important concepts in BERT algorithm, it's uses and the best practices. This I am suggesting because I know UDEMY has a limitation on hours (which is 2) for free course and this tutorial could not cover these points. Thanks.
Quality Score
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Overall Score : 84 / 100
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