BC Skills Academy

Natural Language Processing Professional

From text preprocessing to transformer-powered NLP pipelines

Key facts

About the Natural Language Processing Professional certification

A professional-grade certification covering the full arc of modern Natural Language Processing. You will reason precisely about text preprocessing (normalization, stemming, lemmatization, stopword handling) and tokenization (word, subword, BPE, WordPiece); represent text with bag-of-words, n-grams, and TF-IDF; build and interpret word embeddings (word2vec CBOW and skip-gram, GloVe, and contextual embeddings); understand language modeling and perplexity; trace sequence models (RNN, LSTM) and the attention mechanism through to the transformer at an introductory level; distinguish encoder, decoder, and encoder-decoder architectures; and apply NLP to core tasks — text classification, sentiment analysis, named-entity recognition, part-of-speech tagging, machine translation, summarization, and question answering. The exam tests deliberate, current understanding of evaluation (accuracy, F1, BLEU, ROUGE, perplexity), the modern pretrained-model pipeline (pretrain, fine-tune, prompt), and the common pitfalls that derail real NLP systems — at the level expected of an engineer who ships language applications in production.

Course outline

The Natural Language Processing — Study Guide course covers:

  1. From Raw Text to Tokens — Preprocessing, normalization, stemming vs lemmatization, stopwords, and the tokenization spectrum from words to subwords (BPE, WordPiece). (3 lessons)
  2. Tokenization Deep-Dive — The word vs subword vs character spectrum, how BPE and WordPiece build vocabularies, and how tokens become embeddings. (3 lessons)
  3. Representing Meaning — Bag-of-words, n-grams, TF-IDF, and the leap to dense word embeddings: word2vec (CBOW/skip-gram), GloVe, and contextual embeddings. (3 lessons)
  4. Sequences, Attention, and the Transformer — RNN/LSTM for NLP, the attention mechanism, encoder-decoder seq2seq with attention, and the transformer block at an intro level. (4 lessons)
  5. Tasks, Evaluation, and Pitfalls — Core NLP tasks, the metrics that score them (accuracy/F1, BLEU, ROUGE, perplexity), the pretrained-model pipeline, and the pitfalls that derail real… (3 lessons)

Prerequisites

Frequently asked questions

Is the Natural Language Processing Professional certificate verifiable?
Yes. Every certificate issued by BC Skills Academy carries a unique credential ID that anyone can check on the public verification page.
How is the Natural Language Processing Professional exam structured?
It is a timed, randomized multiple-choice exam of 66 questions in 90 minutes, graded instantly; you need 75% to pass.
Can I get a refund?
Full refund within 7 days of purchase if you have not started the exam. Once the exam has been started or completed, the purchase is no longer refundable.

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