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
- 250 (of 407, foundation optional)
- At 6 hours a week
- about 11 months
- Free certifications
- 20
- Library resources
- 105
- Interview questions
- 192
✓ All 177 lessons expert reviewed
Your route. Skip any foundation pack whose outcomes you already have at work. Start at the core skills, build the capstone on a problem from your own job, and add an industry pack for your sector.
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. Skip a pack here if you already do this at work.
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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 industry · Pick the sector you want to work in.
Sign up free to see the free certifications and interview preparation for this role
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