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Natural Language Processing

From classical NLP to modern LLM-based systems

4.7· 167 student reviews
Level: AdvancedDuration: 6 monthsCredits: 21Tuition: $699 CADLead instructor: Dr. Sophie Beaulieu

About this program

A complete six-month tour of natural language processing for engineers and applied scientists. You'll cover the classical foundations (tokenization, parsing, embeddings) before moving deep into transformer-based methods for classification, NER, QA, summarization, and dialogue. Includes a French/English bilingual capstone reflecting Canada's linguistic reality.

Student ratings

Excellent — 167 verified Canadian graduates rated this program 4.7/5. Reviews emphasize the applied capstone, instructor responsiveness, and career outcomes.

4.7
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Who this program is for

  • Practitioners already shipping nlp work who want depth
  • Senior engineers, data scientists, and technical leads
  • Canadian residents seeking a verifiable diploma credential

Topics you'll cover

6 modules across 6 months — 24 lessons in total.

01Month 1 — Foundations02Month 2 — Sequence Tagging03Month 3 — Transformers for NLP04Month 4 — Question Answering and Summarization05Month 5 — Dialogue and Conversational AI06Month 6 — Capstone

Six-month syllabus

Module 1 · Month 1 — Foundations
  • L1Tokenization, normalization, lemmatization
  • L2Classical features: TF-IDF, n-grams
  • L3Word embeddings: word2vec, GloVe
  • L4Lab: text classification baselines
Module 2 · Month 2 — Sequence Tagging
  • L1POS, NER, chunking
  • L2BiLSTM-CRF
  • L3spaCy in production
  • L4French-language NER lab
Module 3 · Month 3 — Transformers for NLP
  • L1BERT, RoBERTa, DeBERTa
  • L2Fine-tuning with HuggingFace
  • L3Parameter-efficient fine-tuning
  • L4Multilingual models
Module 4 · Month 4 — Question Answering and Summarization
  • L1Extractive vs. abstractive
  • L2T5 and BART
  • L3Long-document approaches
  • L4Faithfulness evaluation
Module 5 · Month 5 — Dialogue and Conversational AI
  • L1Intent classification
  • L2Slot filling
  • L3Open-domain dialogue
  • L4Safety and grounding
Module 6 · Month 6 — Capstone
  • L1Bilingual EN/FR project
  • L2Build, deploy, evaluate
  • L3Bias and dialect audit
  • L4Final demo

What you'll be able to do

  • Build production NLP pipelines
  • Fine-tune transformer models for custom tasks
  • Implement RAG over multilingual corpora
  • Evaluate NLP systems beyond accuracy
  • Handle Canadian linguistic and dialectal variation

Career paths after graduation

Role 1
NLP Engineer
Role 2
Conversational AI Designer
Role 3
Language Model Specialist

Frequently asked questions

How much does the Natural Language Processing cost?

Tuition is $699 CAD. You can pay in full at checkout or choose an interest-free monthly plan. A 30-day refund window applies from your start date.

How long is the Natural Language Processing program?

6 months, cohort-based and fully online. Expect roughly 13 hours per week including live Thursday sessions at 7pm ET.

What are the prerequisites?

Python; Basic machine learning

Is the diploma recognized in Canada?

Yes. Graduates receive the Altaris AI Academy Diploma in NLP — a verifiable credential with a unique certificate number you can publish on LinkedIn and that any employer can verify at smart-ai-future.lovable.app/verify.

What is the refund policy?

Full refund within 30 days of your cohort start date, no questions asked. After day 30, prorated refunds are available per our Refund Policy.

Who teaches the program?

Working Canadian AI practitioners — not academics. Each cohort has a lead instructor plus a 1:1 mentor pairing for the duration of the program.

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