Machine learning and data science
NLP Engineer
Also called: Natural Language Processing Engineer, Language AI Engineer, Text Analytics Engineer
Builds systems that read and write language: classification, extraction, search, translation and summarisation.
- Skill Packs
- 12
- Class hours
- 307
- At 6 hours a week
- about 13 months
- Free certifications
- 15
- Library resources
- 80
- Interview questions
- 165
✓ All 141 lessons expert reviewed
Your route. Follow the path in order and finish the capstone before you apply. Your goal is a portfolio project and interview practice you can show in the next few months.
Industry 5.0 · this path teaches 0 of 3 pillars
+ 🤝 Human-centred: add I50-HUM+ 🌱 Sustainable: add I50-SUS+ 🛡️ Resilient: add I50-RES
1. Foundation
3 packs · 85 hours
The base every pack after it builds on.
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1
Python programming FND-01 Beginner
37 hours 15 lessons 🎓 4 free certifications 📚 8 library resources ✓ Expert reviewed ❓ 18 interview questions
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2
Data wrangling with NumPy and pandas DAT-02 Beginner
27 hours 11 lessons 🎓 1 free certification 📚 8 library resources ✓ Expert reviewed ❓ 11 interview questions
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3
Mathematics for machine learning MTH-01 Beginner
21 hours 10 lessons 📚 8 library resources ✓ Expert reviewed ❓ 11 interview questions
2. Core skills
3 packs · 85 hours
The skills the job is made of.
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4
Machine learning ML-01 Beginner
32 hours 14 lessons 🎓 2 free certifications 📚 8 library resources ✓ Expert reviewed ❓ 15 interview questions
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5
Deep learning DL-01 Advanced
29 hours 12 lessons 🎓 2 free certifications 📚 8 library resources ✓ Expert reviewed ❓ 12 interview questions
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6
Natural language processing NLP-01 Advanced
24 hours 10 lessons 📚 8 library resources ✓ Expert reviewed ❓ 10 interview questions
3. Specialise
4 packs · 87 hours
The depth that sets you apart in interviews.
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7
Generative AI foundations: how LLMs work and how to call them GEN-01 Beginner
18 hours 11 lessons 🎓 2 free certifications 📚 8 library resources ✓ Expert reviewed ❓ 13 interview questions
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8
Prompt and context engineering with structured outputs GEN-02 Beginner
21 hours 11 lessons 🎓 1 free certification 📚 8 library resources ✓ Expert reviewed ❓ 12 interview questions
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9
Generative AI with retrieval-augmented generation (RAG) and vector databases GEN-03 Advanced
28 hours 13 lessons 🎓 2 free certifications 📚 8 library resources ✓ Expert reviewed ❓ 21 interview questions
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10
Fine-tuning, small language models and model serving GEN-04 Advanced
20 hours 10 lessons 📚 8 library resources ✓ Expert reviewed ❓ 10 interview questions
4. Prove it
2 packs · 50 hours
A capstone project, then portfolio, resume and interview practice.
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11
Capstone project CAP-01 Advanced
24 hours 9 lessons ✓ Expert reviewed ❓ 8 interview questions
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12
Career readiness: portfolio, resume and interviews CAR-01 Beginner
26 hours 15 lessons 🎓 1 free certification ✓ Expert reviewed ❓ 24 interview questions
Add your edge
Optional packs that make you the candidate for a particular sector or degree.
Your branch · Pick the one that matches your degree.
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Your industry · Pick the sector you want to work in.
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