Generative and agentic AI
Generative AI Engineer
Also called: GenAI Developer, LLM Engineer, AI Engineer, Applied AI Engineer
Builds products on large language models: prompts, retrieval over company data, fine-tuned and small models, and the services that run them in production.
- Skill Packs
- 14
- Class hours
- 250 (of 335, foundation optional)
- At 6 hours a week
- about 11 months
- Free certifications
- 21
- Library resources
- 96
- Interview questions
- 182
✓ All 158 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
3 packs · 85 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
2. Core skills
4 packs · 89 hours
The skills the job is made of.
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4
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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5
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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6
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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7
AI application engineering and system design APP-01 Advanced
22 hours 9 lessons 🎓 1 free certification 📚 8 library resources ✓ Expert reviewed ❓ 8 interview questions
3. Specialise
5 packs · 111 hours
The depth that sets you apart in interviews.
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8
Agentic AI: AI agents, MCP and multi-agent systems AGT-01 Expert
29 hours 13 lessons 🎓 2 free certifications 📚 8 library resources ✓ Expert reviewed ❓ 14 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
AI security, safety and governance GEN-05 Advanced
17 hours 9 lessons 🎓 2 free certifications 📚 8 library resources ✓ Expert reviewed ❓ 9 interview questions
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11
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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12
LLMOps: deploying Generative AI and agents OPS-03 Advanced
21 hours 11 lessons 🎓 1 free certification 📚 8 library resources ✓ Expert reviewed ❓ 8 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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