Machine learning and data science
Recommendation Systems Engineer
Also called: Personalisation Engineer, Search and Ranking Engineer
Builds the “you may also like” engines behind shopping, video and feeds: ranking, retrieval and experimentation.
- Skill Packs
- 16
- Class hours
- 407
- At 6 hours a week
- about 17 months
- Free certifications
- 20
- Library resources
- 105
- Interview questions
- 192
✓ All 177 lessons expert reviewed
Your route. Start in your first or second year. Take the foundation packs alongside your degree, add the pack for your own branch, and use the long breaks for the core and specialise packs.
Industry 5.0 · this path teaches 1 of 3 pillars
🤝 Human-centred + 🌱 Sustainable: add I50-SUS+ 🛡️ Resilient: add I50-RES
1. Foundation
6 packs · 157 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
Developer toolkit: command line, Git and AI coding assistants FND-02 Beginner
16 hours 8 lessons 🎓 1 free certification 📚 8 library resources ✓ Expert reviewed ❓ 11 interview questions
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3
SQL and databases FND-03 Beginner
32 hours 13 lessons 🎓 3 free certifications 📚 8 library resources ✓ Expert reviewed ❓ 16 interview questions
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4
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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5
Statistics and probability DAT-03 Beginner
24 hours 10 lessons 📚 8 library resources ✓ Expert reviewed ❓ 11 interview questions
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6
Mathematics for machine learning MTH-01 Beginner
21 hours 10 lessons 📚 8 library resources ✓ Expert reviewed ❓ 11 interview questions
2. Core skills
3 packs · 76 hours
The skills the job is made of.
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7
Machine learning ML-01 Beginner
32 hours 14 lessons 🎓 2 free certifications 📚 8 library resources ✓ Expert reviewed ❓ 15 interview questions
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8
Recommendation and personalisation systems REC-01 Advanced
20 hours 9 lessons 📚 7 library resources ✓ Expert reviewed ❓ 8 interview questions
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9
Feature engineering, tuning and responsible machine learning ML-02 Advanced
24 hours 10 lessons 🎓 2 free certifications 📚 8 library resources ✓ Expert reviewed ❓ 11 interview questions
3. Specialise
5 packs · 124 hours
The depth that sets you apart in interviews.
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10
Deep learning DL-01 Advanced
29 hours 12 lessons 🎓 2 free certifications 📚 8 library resources ✓ Expert reviewed ❓ 12 interview questions
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11
Data engineering and big data DAT-06 Advanced
21 hours 9 lessons 🎓 2 free certifications 📚 8 library resources ✓ Expert reviewed ❓ 11 interview questions
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12
Containers, CI/CD and cloud foundations OPS-01 Beginner
24 hours 11 lessons 🎓 1 free certification 📚 8 library resources ✓ Expert reviewed ❓ 10 interview questions
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13
MLOps: deploying and running machine learning models OPS-02 Advanced
24 hours 11 lessons 🎓 1 free certification 📚 6 library resources ✓ Expert reviewed ❓ 9 interview questions
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14
Redis and key-value stores RED-01 Beginner
26 hours 10 lessons 📚 4 library resources ✓ Expert reviewed ❓ 6 interview questions
4. Prove it
2 packs · 50 hours
A capstone project, then portfolio, resume and interview practice.
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15
Capstone project CAP-01 Advanced
24 hours 9 lessons ✓ Expert reviewed ❓ 8 interview questions
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16
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.
- AI for CSE and IT
- AI for electronics and communication engineering
- AI for science and other branches
Your industry · Pick the sector you want to work in.
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