Generative and agentic AI
Agentic AI Engineer
Also called: AI Agent Developer, Agentic AI Developer, Multi-agent Systems Engineer, MCP Developer
Designs AI agents that plan, call tools and APIs, work together and stay safe, from a single assistant to a multi-agent system.
- Skill Packs
- 13
- Class hours
- 251 (of 304, foundation optional)
- At 6 hours a week
- about 11 months
- Free certifications
- 19
- Library resources
- 87
- Interview questions
- 164
β All 145 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 Β· this path teaches 1 of 3 pillars
π€ Human-centred + π± Sustainable: add I50-SUS+ π‘οΈ Resilient: add I50-RES
1. Foundation
2 packs Β· 53 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 π 4 free certifications π 8 library resources β Expert reviewed β 18 interview questions
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2
Developer toolkit: command line, Git and AI coding assistants FND-02 Beginner
16 hours 8 lessons π 1 free certification π 8 library resources β Expert reviewed β 11 interview questions
2. Core skills
4 packs Β· 96 hours
The skills the job is made of.
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3
Generative AI foundations: how LLMs work and how to call them GEN-01 Beginner
18 hours 11 lessons π 2 free certifications π 8 library resources β Expert reviewed β 13 interview questions
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4
Prompt and context engineering with structured outputs GEN-02 Beginner
21 hours 11 lessons π 1 free certification π 8 library resources β Expert reviewed β 12 interview questions
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5
Generative AI with retrieval-augmented generation (RAG) and vector databases GEN-03 Advanced
28 hours 13 lessons π 2 free certifications π 8 library resources β Expert reviewed β 21 interview questions
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6
Agentic AI: AI agents, MCP and multi-agent systems AGT-01 Expert
29 hours 13 lessons π 2 free certifications π 8 library resources β Expert reviewed β 14 interview questions
3. Specialise
5 packs Β· 105 hours
The depth that sets you apart in interviews.
-
7
AI application engineering and system design APP-01 Advanced
22 hours 9 lessons π 1 free certification π 8 library resources β Expert reviewed β 8 interview questions
-
8
Voice AI and voice agents VOX-01 Advanced
21 hours 10 lessons π 1 free certification π 7 library resources β Expert reviewed β 8 interview questions
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9
AI security, safety and governance GEN-05 Advanced
17 hours 9 lessons π 2 free certifications π 8 library resources β Expert reviewed β 9 interview questions
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10
Containers, CI/CD and cloud foundations OPS-01 Beginner
24 hours 11 lessons π 1 free certification π 8 library resources β Expert reviewed β 10 interview questions
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11
LLMOps: deploying Generative AI and agents OPS-03 Advanced
21 hours 11 lessons π 1 free certification π 8 library resources β Expert reviewed β 8 interview questions
4. Prove it
2 packs Β· 50 hours
A capstone project, then portfolio, resume and interview practice.
-
12
Capstone project CAP-01 Advanced
24 hours 9 lessons β Expert reviewed β 8 interview questions
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13
Career readiness: portfolio, resume and interviews CAR-01 Beginner
26 hours 15 lessons π 1 free certification β Expert reviewed β 24 interview questions
Add your edge
Optional packs that make you the candidate for a particular sector or degree.
Your industry Β· 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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