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NLP Academy

PYTHONPythonAiData_science

Build language AI with Python. From text preprocessing and embeddings to Transformers, named-entity recognition, and large language models.

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Course Overview

Natural Language Processing with Python

Build language AI with Python. From text preprocessing and embeddings to Transformers, named-entity recognition, and large language models. This track covers 30 progressive mini-courses from absolute beginner (A1) through advanced (B2), with short focused lessons and quick quizzes to lock in each concept.

What You Will Learn

You start with the fundamentals and build up through intermediate and advanced topics, each course building on the last. Every lesson is practical and bite-sized, with a 24/7 AI tutor available when you need help.

How It Works

Each course is broken into four focused, bite-sized lessons. Complete a few lessons a day and you will master the full track in weeks, not months.

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Curriculum

30 Courses

Every course in the NLP Academy learning path.

01

What NLP Actually Does

A14 lessons

Explain what NLP is and recognize the real products it powers.

  • From Words to Meaning: The NLP Idea
  • NLP You Use Every Day
  • The NLP Pipeline at a Glance
  • +1 more
02

Text Is Just Data

A14 lessons

Load, inspect, and measure raw text with plain Python.

  • Strings, Characters, and Encodings
  • Reading Text Files Into Python
  • Counting Words and Characters
  • +1 more
03

Splitting Text Into Tokens

A14 lessonsPRO

Turn sentences into clean lists of words you can process.

  • What Is a Token, Really?
  • Splitting on Whitespace and Its Limits
  • Sentence Segmentation Basics
  • +1 more
04

Normalizing Text for Consistency

A14 lessonsPRO

Reduce word variants so the same idea matches.

  • Why Case and Spacing Matter
  • Lowercasing and Stripping Whitespace
  • Stemming: Chopping to the Root
  • +1 more
05

Cleaning Real-World Text

A14 lessonsPRO

Remove noise and stopwords to keep the signal.

  • What Are Stopwords?
  • Filtering Stopwords With NLTK
  • Stripping Punctuation and Symbols
  • +1 more
06

Pattern Matching With Regex

A24 lessonsPRO

Find and extract structured patterns from raw text.

  • Regex in 5 Minutes
  • Finding Emails and URLs
  • Capturing Groups and Replacements
  • +1 more
07

Bag-of-Words: Text as Numbers

A24 lessonsPRO

Convert documents into count vectors a model can read.

  • Why Models Need Numbers, Not Words
  • Building a Vocabulary
  • Counting With CountVectorizer
  • +1 more
08

Weighting Words With TF-IDF

A24 lessonsPRO

Score words by how distinctive they are to a document.

  • The Problem With Raw Counts
  • Term Frequency and Inverse Document Frequency
  • TF-IDF With scikit-learn
  • +1 more
09

Capturing Context With N-Grams

A24 lessonsPRO

Model short word sequences to keep nearby context.

  • Why Single Words Lose Meaning
  • Bigrams and Trigrams Explained
  • N-Gram Features in scikit-learn
  • +1 more
10

Your First Sentiment Classifier

A24 lessonsPRO

Build a rule-based detector for positive and negative text.

  • What Is Sentiment Analysis?
  • Building a Positive and Negative Word List
  • Scoring a Review by Counting Cues
  • +1 more
11

Word Embeddings: Meaning as Vectors

B14 lessonsPRO

Represent words so similar meanings sit close together.

  • From Sparse Counts to Dense Vectors
  • How word2vec Learns Meaning
  • Loading GloVe Vectors in Python
  • +1 more
12

Classify Text With Naive Bayes

B14 lessonsPRO

Train a fast probabilistic classifier on text features.

  • The Intuition Behind Naive Bayes
  • Building a Spam Detector
  • Multinomial vs Bernoulli Models
  • +1 more
13

Logistic Regression for Text

B14 lessonsPRO

Train a strong linear baseline for text classification.

  • Why Logistic Regression Wins on Text
  • Training on TF-IDF Features
  • Inspecting the Strongest Coefficients
  • +1 more
14

Get Productive With spaCy

B14 lessonsPRO

Process text through a fast industrial-strength pipeline.

  • Why spaCy for Real Projects
  • Loading a Model and Processing a Doc
  • Tokens, Spans, and Doc Objects
  • +1 more
15

Part-of-Speech Tagging

B14 lessonsPRO

Label every word with its grammatical role.

  • Nouns, Verbs, and Why Tags Matter
  • Tagging Words With spaCy
  • Extracting Phrases by Tag Pattern
  • +1 more
16

Named-Entity Recognition

B14 lessonsPRO

Detect people, places, and organizations in text.

  • What Counts as an Entity?
  • Extracting Entities With spaCy
  • Visualizing Entities With displaCy
  • +1 more
17

Discover Topics With LDA

B14 lessonsPRO

Find hidden themes across a collection of documents.

  • What Topic Modeling Solves
  • How LDA Groups Words Into Topics
  • Running LDA With Gensim
  • +1 more
18

Feature Engineering for Text

B14 lessonsPRO

Craft features that push text models past the baseline.

  • Beyond Bag-of-Words
  • Character N-Grams for Robustness
  • Combining Multiple Feature Types
  • +1 more
19

Measuring Classifier Quality

B14 lessonsPRO

Evaluate text models with the metrics that matter.

  • Why Accuracy Can Lie
  • Precision, Recall, and F1
  • Reading the Confusion Matrix
  • +1 more
20

Handling Imbalanced Text Data

B14 lessonsPRO

Train fair classifiers when one class is rare.

  • Why Rare Classes Get Ignored
  • Resampling and Class Weights
  • Choosing Threshold and Metric
  • +1 more
21

Ship an End-to-End Classifier

B24 lessonsPRO

Build a complete, reproducible text classification pipeline.

  • Structuring a Real NLP Project
  • scikit-learn Pipelines End to End
  • Saving and Loading Your Model
  • +1 more
22

Sequence Models: RNNs

B24 lessonsPRO

Process text in order with recurrent neural networks.

  • Why Order Matters in Language
  • How an RNN Reads a Sequence
  • Building an RNN Text Model
  • +1 more
23

Long Memory With LSTM and GRU

B24 lessonsPRO

Model long-range dependencies with gated networks.

  • Gates That Control Memory
  • GRU: A Leaner Alternative
  • Training an LSTM Classifier
  • +1 more
24

Attention and the Transformer

B24 lessonsPRO

Understand the architecture behind modern NLP.

  • The Idea of Attention
  • Self-Attention, Step by Step
  • Multi-Head Attention and Positions
  • +1 more
25

BERT and Contextual Embeddings

B24 lessonsPRO

Use context-aware embeddings from pre-trained BERT.

  • Why Context Changes Word Meaning
  • Masked Language Modeling
  • Embedding Sentences With BERT
  • +1 more
26

Fine-Tune With Hugging Face

B24 lessonsPRO

Adapt a pre-trained transformer to your own task.

  • The Transformers Library Tour
  • Tokenizing for Transformer Models
  • Fine-Tuning With the Trainer API
  • +1 more
27

Build a Question Answering System

B24 lessonsPRO

Answer questions by extracting spans from context.

  • Extractive vs Generative QA
  • Running a QA Pipeline
  • Finding Answer Spans in Context
  • +1 more
28

Summarize and Translate Text

B24 lessonsPRO

Generate summaries and translations with transformers.

  • Extractive vs Abstractive Summaries
  • Summarizing With a Seq2Seq Model
  • Machine Translation in Practice
  • +1 more
29

LLMs and Effective Prompting

B24 lessonsPRO

Drive large language models with reliable prompts.

  • What Makes a Model Large
  • Calling an LLM From Python
  • Zero-Shot and Few-Shot Prompting
  • +1 more
30

RAG: Ground LLMs in Your Data

B24 lessonsPRO

Build retrieval-augmented generation over your documents.

  • Why LLMs Need Retrieval
  • Chunking and Embedding Documents
  • Vector Search With a Vector Store
  • +1 more
FAQ

Frequently Asked Questions

Is the NLP Academy course free?

Yes. You can start the NLP Academy course for free and complete its interactive lessons at no cost. An optional PRO subscription unlocks advanced AI tools and a shareable certificate.

Do I need prior experience to learn PYTHON?

No. The course begins with the fundamentals and gradually moves to more advanced topics, so you can start even with no prior PYTHON experience.

How will I learn PYTHON on CoddyKit?

You learn by doing. Short interactive lessons pair a clear explanation with a hands-on coding exercise that runs in real time, and a 24/7 AI tutor gives personalized help whenever you get stuck.

Do I get a certificate for completing NLP Academy?

Yes. PRO learners can take an exam and earn a shareable certificate of completion with a verifiable code for the NLP Academy course.

Can I learn PYTHON on my phone?

Yes. CoddyKit is available on the web and as native iOS and Android apps, so you can learn PYTHON on any device and your progress syncs across them.

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