Generative and agentic AI
Cloud AI Engineer
Also called: Azure AI Engineer, AWS AI Engineer, Google Cloud AI Engineer, Cloud GenAI Engineer
Builds and runs AI on a major cloud: managed models, agents, pipelines and security on Azure, AWS or Google Cloud.
- Skill Packs
- 13
- Class hours
- 333
- At 6 hours a week
- about 14 months
- Free certifications
- 21
- Library resources
- 86
- Interview questions
- 169
✓ All 153 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 0 of 3 pillars
+ 🤝 Human-centred: add I50-HUM+ 🌱 Sustainable: add I50-SUS+ 🛡️ Resilient: add I50-RES
1. Foundation
3 packs · 85 hours
The base every pack after it builds on.
-
1
Python programming FND-01 Beginner
37 hours 15 lessons 🎓 4 free certifications 📚 8 library resources ✓ Expert reviewed ❓ 18 interview questions
-
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
-
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
3 packs · 67 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
Choose one, for the cloud you are aiming at
Azure AI: Microsoft Foundry, Azure OpenAI and agents CLD-AZ Advanced
28 hours 12 lessons 🎓 1 free certification 📚 8 library resources ✓ Expert reviewed ❓ 8 interview questions
AWS AI: Amazon Bedrock, agents and SageMaker AI CLD-AWS Advanced
28 hours 12 lessons 🎓 1 free certification 📚 8 library resources ✓ Expert reviewed ❓ 8 interview questions
Google Cloud AI: Vertex AI, Gemini and agents CLD-GCP Advanced
28 hours 12 lessons 🎓 1 free certification 📚 8 library resources ✓ Expert reviewed ❓ 7 interview questions
3. Specialise
5 packs · 131 hours
The depth that sets you apart in interviews.
-
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
-
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
-
9
Containers, CI/CD and cloud foundations OPS-01 Beginner
24 hours 11 lessons 🎓 1 free certification 📚 8 library resources ✓ Expert reviewed ❓ 10 interview questions
-
10
Cloud architecture and other clouds CLA-01 Advanced
29 hours 11 lessons 🎓 2 free certifications 📚 6 library resources ✓ Expert reviewed ❓ 6 interview questions
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11
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.
-
12
Capstone project CAP-01 Advanced
24 hours 9 lessons ✓ Expert reviewed ❓ 8 interview questions
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13
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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