DeepLearning.AI · on Coursera

Natural Language Processing Specialization

4.6(14,000) on Coursera·190K enrolled
Advanced 200 hours English Specialization
Our recommendation
DeepLearning.AI's four-course specialisation on natural language processing, from classic methods through attention and transformers. It is hands-on and thorough, and one of the better structured routes into NLP — but it is advanced, expecting solid Python, machine learning and some maths.

Good for: Learners with ML basics who want a structured, hands-on route into NLP.

Less suitable if: You are new to machine learning, or you only want to use language models.

Skills you'll gain

Natural language processingTransformersAttentionSentiment analysisMachine translationWord embeddings

Is this course right for you?

A good fit if you…

You have Python and ML basics
You want structured NLP
You like hands-on coding

Consider something else if you…

You are new to machine learning
You only want to use LLMs
You want a short overview

Requirements: Python, machine-learning basics and some maths; advanced.

Realistic time: Around 200 hours across four courses; a few months part-time.

About this course

This four-course specialization covers NLP from classical ML through modern deep learning: sentiment analysis, word embeddings, sequence models with LSTMs, and finally the transformer architecture that underpins BERT and GPT.

What you'll learn

Build text classifiers using logistic regression, naive Bayes, and word vectors
Implement Word2Vec and GloVe word embeddings
Build sequence models with LSTMs, GRUs, and Siamese networks
Implement the attention mechanism and transformer from scratch
Apply neural machine translation and question answering with transformers

This course includes

200h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language

What it costs

Free to audit on Coursera; the certificate needs a subscription, around $49 a month, with financial aid available.

Comparison · LBS

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Is the certificate recognised?

The certificate is issued through Coursera with DeepLearning.AI. The hands-on projects matter most to employers.

Instructor

YB
Younes Bensouda Mourri / Łukasz Kaiser
Coursera instructor
190K+ learners4 courses4.6 instructor rating

Taught by Younes Bensouda Mourri and Łukasz Kaiser (co-author of Attention Is All You Need) from DeepLearning.AI.

About this provider

CO
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Frequently asked questions

Yes for a structured, hands-on route into NLP, if you already have machine-learning basics. It covers classic methods through transformers.
Python, machine-learning fundamentals and some maths. It is advanced.
A free audit of the videos is usually available; the certificate needs a subscription, with financial aid available.
CS224n is more academic and free but has no certificate; this specialisation is more guided and hands-on, with a certificate. Choose structure or rigour.
Around 200 hours across four courses — a few months part-time.
Paid
Subscription-based, free to audit
Enroll now