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
- 342
- At 6 hours a week
- about 15 months
- Free certifications
- 16
- Library resources
- 86
- Interview questions
- 162
✓ All 155 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 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.
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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.
-
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
-
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 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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