See the course in action
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- All content hours, with no expiry
- CodeLab in the browser, nothing to install
- AI tutor available at any hour
- AI-graded exercises
- Final exam and verifiable certificate + an optional field challenge for the Field Practice Validated distinction
Final exam: 2 attempts, 70% pass threshold. After a second failed attempt, a deferral period applies before retrying, with a $10.99 retake fee — see the Terms of Service.
Lifetime access. No deadline: finish in 9 weeks or in ten months.
NLP & Language AI Engineer
Embeddings, Transformers, semantic search and fine-tuning for text
- Level
- Intermediate
- Duration
- 9 weeks
- Total hours
- 45 h(estimated personal workload)
- Price
- $15
The program, module by module
- Module 1
NLP Fundamentals
Tokenize, lemmatize and clean a text corpus without destroying meaning.
- Module 2
Vector Representations (Embeddings)
Understand and use embeddings to measure closeness of meaning between words and clauses.
- Module 3
Classification and Sentiment Analysis
Train a text classifier and read its results without being fooled by accuracy.
- Module 4
Named Entity Recognition (NER)
Automatically extract people, places, organizations and dates from an administrative text, and measure the quality of the extraction.
- Module 5
Transformers and Hugging Face
Use and fine-tune a pre-trained Transformer model, then document it so that someone else can evaluate it.
- Module 6
Semantic Search
Build and evaluate a search engine based on meaning, and know when keywords are still enough.
- Module 7
Automatic Summarization and Text Generation
Produce and evaluate reliable summaries of an administrative report, and detect what a model invents.
- Module 8
Specialized Fine-Tuning (Domain or Local Language)
Adapt a model to a domain vocabulary or a local language, and honestly prove the gain obtained.
- Module 9
Evaluating NLP Models
Measure precision, recall, F1, BLEU and ROUGE depending on the task, and choose a model with an honest dashboard.
- Module 10
Final Project and Certification
Assemble an intelligent document search and analysis engine, measure it and defend it in front of a jury.
- Module 11
Career Entry and Certification
CertificationTurn your portfolio into a technical resume, a convincing interview and a priced freelance offer, before the final exam.
How long will it take me?
Duration: 45 h (estimated personal workload)
3 h/wk ≈ 15 wks
6 h/wk ≈ 8 wks
12 h/wk ≈ 4 wks
20 h/wk ≈ 3 wks
Estimates, not deadlines. Pause for a month and pick up where you left off.
CERTIFICATE VERIFIABLE ONLINE
What you deliver at the end
Turn your portfolio into a technical resume, a convincing interview and a priced freelance offer, before the final exam.
See a sample certificateHow certification works
Three levels, from simplest to most demanding. Each one only claims what it actually verifies.
Attendance certificate
Earned by: Modules followed
Proves: You followed the track — no graded assessment.
Certificate of achievement
Earned by: Full track completed on the platform, final project included, and final exam passed
Proves: Your knowledge and your final project, evaluated by the platform.
Field Practice Validated distinction
Earned by: A field challenge completed after the exam, in a real situation, with evidence
Proves: A CoursTech mentor reviewed and validated a genuine real-world application.
The distinction is added to your certificate of achievement — it never replaces it: nothing off-platform ever blocks the certificate itself.
Mentor support and validation: handled on request, within 72 business hours. If no mentor is active, the distinction stays open for 12 months as planned: no learner is penalized.
Mentor sessions: limited spots, on request. Reply within 48 h.
See a sample certificate with the distinction →What your certificate proves →