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Master NLP with Adaptive AI.

Master NLP across 18 topics - Foundations, Intermediate, and Advanced - guided by Leyaa's adaptive intelligence.

3Parts

18Topics

136Patterns

35hEst. duration

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NLP Course

3 - part learning journey

Foundations

6 topics · 49 patterns

Beginner

Intermediate

6 topics · 45 patterns

Intermediate

Advanced

6 topics · 42 patterns

Advanced

Begin Part 1: Foundations

✦ Course Structure

Your NLP Journey in 3 Parts

Each part builds on the last - a deliberate progression from beginner to advanced.

Beginner

Part 1: Foundations

Covers NLP Basics and Language Understanding, Text Preprocessing, Text Representation — Classical and 3 more topics.

6Topics

49Patterns

View topics

Intermediate

Part 2: Intermediate

Covers Word Embeddings, Topic Modeling, Sequence Models for NLP and 3 more topics.

6Topics

45Patterns

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Advanced

Part 3: Advanced

Covers Transformers and BERT, Advanced Transformer Models, Question Answering and 3 more topics.

6Topics

42Patterns

View topics

Curriculum

Everything You'll Learn

Explore every topic and pattern in the course.

NLP

3 parts · 18 topics · 136 patterns

Part 1: Foundations6 topics · 49 patterns

Beginner

NLP Basics and Language Understanding

7 patterns

Why NLP bridges humans and computers

What NLP actually does

NLP applications in real world

NLP vs NLU vs NLG

Python NLP ecosystem (NLTK, spaCy, Hugging Face)

Challenges in language processing

First NLP pipeline

Text Preprocessing

9 patterns

Why preprocessing cleans raw text

Tokenization (word and sentence)

Lowercasing and normalization

Stopword removal

Stemming (Porter, Snowball)

Lemmatization

Punctuation and special character removal

Regular expressions for text cleaning

Unicode handling

Text Representation — Classical

8 patterns

Why machines need numerical text representation

Bag of Words (CountVectorizer)

TF-IDF (TfidfVectorizer)

N-grams

Vocabulary size control

Document-term matrix

One-hot encoding for text

Limitations of classical methods

Text Classification

9 patterns

Why text classification categorizes documents

Spam detection pipeline

Sentiment analysis pipeline

Naive Bayes for text

Logistic regression for text

SVM for text classification

Evaluation metrics (accuracy, F1, confusion matrix)

Multi-class text classification

Handling imbalanced text data

Named Entity Recognition

7 patterns

Why NER extracts structured information

Entity types (PERSON, ORG, LOC, DATE)

NER with spaCy

NER with NLTK

Custom NER training basics

Entity linking concept

Information extraction patterns

spaCy Deep Dive

9 patterns

Why spaCy is production-grade NLP

spaCy installation and models

Document processing pipeline

Tokenization in spaCy

Part-of-speech tagging

Dependency parsing

Named entity recognition

Lemmatization in spaCy

Custom pipeline components

Part 2: Intermediate6 topics · 45 patterns

Intermediate

Word Embeddings

8 patterns

Why embeddings capture semantic meaning

Word2Vec (CBOW and Skip-gram)

Training Word2Vec with Gensim

GloVe embeddings

FastText embeddings

Word similarity and analogies

Visualizing embeddings (t-SNE)

Pre-trained embedding usage

Topic Modeling

7 patterns

Why topic modeling discovers themes

Latent Dirichlet Allocation (LDA)

LDA with Gensim

LDA with scikit-learn

Choosing number of topics

Topic coherence evaluation

Visualizing topics (pyLDAvis)

Sequence Models for NLP

8 patterns

Why sequence models understand word order

RNN for text classification

LSTM for text

Bidirectional LSTM

GRU for text

Embedding layer usage

Padding and sequence length

Attention mechanism basics

Text Similarity and Search

7 patterns

Cosine similarity

Jaccard similarity

Edit distance (Levenshtein)

Semantic similarity with embeddings

Document similarity ranking

Information retrieval basics

Text Generation

7 patterns

Why text generation creates content

Language modeling concept

N-gram language models

RNN-based text generation

Temperature and sampling

Beam search decoding

Evaluating generated text (BLEU, ROUGE)

Sentiment Analysis Advanced

8 patterns

Why advanced sentiment handles nuance

Aspect-based sentiment analysis

Fine-grained sentiment (5-class)

Sentiment with context (sarcasm, negation)

Lexicon-based approaches (VADER)

Hybrid approaches

Domain-specific sentiment

Multilingual sentiment

Part 3: Advanced6 topics · 42 patterns

Advanced

Transformers and BERT

8 patterns

Why transformers revolutionized NLP

Attention mechanism in depth

Self-attention and multi-head attention

Transformer architecture

BERT pre-training concept

BERT fine-tuning for classification

BERT tokenization (WordPiece)

Hugging Face Transformers library

Advanced Transformer Models

7 patterns

Why different transformers serve different tasks

GPT family overview

RoBERTa and DistilBERT

T5 for text-to-text tasks

Sentence-BERT for embeddings

Model selection for tasks

Few-shot learning with prompts

Question Answering

7 patterns

Why QA systems extract answers

Extractive QA concept

QA with Hugging Face pipeline

Custom QA model fine-tuning

Context window handling

Answer span extraction

Open-domain QA basics

Text Summarization

6 patterns

Why summarization condenses information

Extractive summarization

Abstractive summarization

Summarization with Hugging Face

ROUGE evaluation metrics

Long document summarization strategies

Machine Translation

6 patterns

Why translation breaks language barriers

Sequence-to-sequence architecture

Encoder-decoder with attention

Translation with Hugging Face

BLEU score evaluation

Multilingual models

NLP in Production

8 patterns

Why production NLP needs engineering

Text preprocessing pipelines

Model serving for NLP

Batch vs real-time inference

Model optimization (distillation, quantization)

Handling out-of-vocabulary words

Monitoring NLP models

Bias and fairness in NLP

Why Leyaa

Not just a course. A learning intelligence.

Leyaa doesn't just deliver content - it understands where you are, what you need, and how to get you there fastest.

Adaptive Diagnostics

Leyaa identifies which of the 136 patterns you've mastered and which need work - before you waste time on what you already know.

Pattern-Level Precision

Every pattern gets a verdict - Learn, Practice, or Skip - so your study time goes exactly where it counts.

Intelligent Pacing

Leyaa reads your velocity across the whole course and adapts your focus list dynamically, keeping you in the optimal learning zone.

Before & After Visibility

Every assessment creates a snapshot. Retake anytime to see exactly how much you've grown - topic by topic, pattern by pattern.

Learner Autonomy

Leyaa recommends, never restricts. Override any suggestion and explore at your own pace - the system tracks everything regardless.

Clear Learning Path

Foundations → Intermediate → Advanced - a structured journey where each part sets you up perfectly for the next.

NLP

Ready to master NLP?
Start your journey today

Start your diagnostic now. Build mastery across all 18 topics in under 15 minutes.

18 Topics

136 Patterns

Personalized roadmap

Master NLP with Adaptive AI.

Your NLP Journey in 3 Parts

Everything You'll Learn

NLP

Not just a course. A learning intelligence.

Ready to master NLP?Start your journey today

Ready to master NLP?
Start your journey today