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CODeepLearning.AI· on Coursera
Natural Language Processing with Probabilistic Models
Intermediate English SpecializationFREE
Our recommendation
Course 2 of DeepLearning.AI's NLP Specialization on Coursera. It builds the probabilistic foundations of NLP — dynamic programming, N-gram language models, hidden Markov models and more. Rigorous and hands-on in Python, it suits people who want to understand classical NLP mechanics before the deep-learning courses later in the specialization.
Good for: The probabilistic foundations of NLP, hands-on in Python.
Less suitable if: You want a quick, library-based NLP tutorial or you lack Python/maths.
Skills you'll gain
Natural language processingN-gram modelsHidden Markov modelsDynamic programmingPythonProbability
Is this course right for you?
A good fit if you…
You want classical NLP foundations
You are comfortable with Python and maths
You are working through the NLP Specialization
Consider something else if you…
You want a quick library tutorial
You are new to Python
You only want transformer/LLM methods
Requirements: Solid Python and comfort with probability; NLP Specialisation course 1 as a precursor.
Realistic time: Around 20–25 hours over a few weeks.
About this course
Natural Language Processing with Probabilistic Models is Course 2 of DeepLearning.AI's NLP Specialization. It builds the probabilistic foundations of NLP: dynamic programming, N-gram language models, hidden Markov models, and Word2Vec — used to build autocorrect, autocomplete, and part-of-speech taggers in Python.
What you'll learn
Build an autocorrect system with probabilistic methods
Use N-gram language models for autocomplete
Apply hidden Markov models to part-of-speech tagging
Understand Word2Vec word embeddings
Use dynamic programming in NLP tasks
Implement the models in Python
This course includes
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
You can audit the course free on Coursera. A certificate needs a Coursera subscription (about $49/month) or Coursera Plus, with financial aid available. It is course 2 of the DeepLearning.AI NLP Specialisation.
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COCoursera
Natural Language Processing with Probabilistic Models
A DeepLearning.AI certificate on Coursera is a credible learning record. It is a course certificate rather than a professional qualification or degree.
Last updated
Focuses on classical probabilistic NLP; transformer and attention-based methods come in later courses of the specialisation.
Instructor
YB
Younes Bensouda Mourri
Coursera instructor
Taught by Younes Bensouda Mourri (Stanford, DeepLearning.AI) and Łukasz Kaiser, a Google Brain research scientist and co-author of the Transformer paper and TensorFlow. The pairing brings both clear teaching and frontier research depth.