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. 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 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
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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
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.
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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
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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
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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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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