Generative and agentic AI
LLMOps Engineer
Also called: AI Platform Engineer, GenAI Platform Engineer, LLM Infrastructure Engineer
Deploys, monitors and scales Generative AI and agent systems: serving, evaluation, cost, safety and reliability.
- Skill Packs
- 14
- Class hours
- 259 (of 342, foundation optional)
- At 6 hours a week
- about 11 months
- Free certifications
- 16
- Library resources
- 86
- Interview questions
- 162
✓ All 155 lessons expert reviewed
Your route. Skip the foundation if you already use AI tools at work. Take the Leading with AI packs on the problems of your own organisation, and finish with the capstone AI plan that a mentor reviews with you.
Industry 5.0 · this path teaches 1 of 3 pillars
🤝 Human-centred + 🌱 Sustainable: add I50-SUS+ 🛡️ Resilient: add I50-RES
1. Foundation
3 packs · 83 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
Linux and networking LNX-01 Beginner
30 hours 11 lessons 🎓 1 free certification 📚 4 library resources ✓ Expert reviewed ❓ 6 interview questions
2. Core skills
4 packs · 91 hours
The skills the job is made of.
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4
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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5
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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6
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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7
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
3. Specialise
5 packs · 118 hours
The depth that sets you apart in interviews.
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8
LLMOps: deploying Generative AI and agents OPS-03 Advanced
21 hours 11 lessons 🎓 1 free certification 📚 8 library resources ✓ Expert reviewed ❓ 8 interview questions
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9
Fine-tuning, small language models and model serving GEN-04 Advanced
20 hours 10 lessons 📚 8 library resources ✓ Expert reviewed ❓ 10 interview questions
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10
Kubernetes in depth K8S-01 Advanced
32 hours 11 lessons 📚 6 library resources ✓ Expert reviewed ❓ 6 interview questions
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11
Observability and site reliability OBS-01 Advanced
28 hours 10 lessons 📚 4 library resources ✓ Expert reviewed ❓ 6 interview questions
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12
AI security, safety and governance GEN-05 Advanced
17 hours 9 lessons 🎓 2 free certifications 📚 8 library resources ✓ Expert reviewed ❓ 9 interview questions
4. Prove it
2 packs · 50 hours
A capstone project, then portfolio, resume and interview practice.
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13
Capstone project CAP-01 Advanced
24 hours 9 lessons ✓ Expert reviewed ❓ 8 interview questions
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14
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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