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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

βœ“ 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

🀝 Human-centred + 🌱 Sustainable: add I50-SUS+ πŸ›‘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.

  1. 1

    Python programming FND-01 Beginner

    37 hours 15 lessons πŸŽ“ 4 free certifications πŸ“š 8 library resources βœ“ Expert reviewed ❓ 18 interview questions

  2. 2

    Developer toolkit: command line, Git and AI coding assistants FND-02 Beginner

    16 hours 8 lessons πŸŽ“ 1 free certification πŸ“š 8 library resources βœ“ Expert reviewed ❓ 11 interview questions

2. Core skills

4 packs Β· 96 hours

The skills the job is made of.

  1. 3

    Generative AI foundations: how LLMs work and how to call them GEN-01 Beginner

    18 hours 11 lessons πŸŽ“ 2 free certifications πŸ“š 8 library resources βœ“ Expert reviewed ❓ 13 interview questions

  2. 4

    Prompt and context engineering with structured outputs GEN-02 Beginner

    21 hours 11 lessons πŸŽ“ 1 free certification πŸ“š 8 library resources βœ“ Expert reviewed ❓ 12 interview questions

  3. 5

    Generative AI with retrieval-augmented generation (RAG) and vector databases GEN-03 Advanced

    28 hours 13 lessons πŸŽ“ 2 free certifications πŸ“š 8 library resources βœ“ Expert reviewed ❓ 21 interview questions

  4. 6

    Agentic AI: AI agents, MCP and multi-agent systems AGT-01 Expert

    29 hours 13 lessons πŸŽ“ 2 free certifications πŸ“š 8 library resources βœ“ Expert reviewed ❓ 14 interview questions

3. Specialise

5 packs Β· 105 hours

The depth that sets you apart in interviews.

  1. 7

    AI application engineering and system design APP-01 Advanced

    22 hours 9 lessons πŸŽ“ 1 free certification πŸ“š 8 library resources βœ“ Expert reviewed ❓ 8 interview questions

  2. 8

    Voice AI and voice agents VOX-01 Advanced

    21 hours 10 lessons πŸŽ“ 1 free certification πŸ“š 7 library resources βœ“ Expert reviewed ❓ 8 interview questions

  3. 9

    AI security, safety and governance GEN-05 Advanced

    17 hours 9 lessons πŸŽ“ 2 free certifications πŸ“š 8 library resources βœ“ Expert reviewed ❓ 9 interview questions

  4. 10

    Containers, CI/CD and cloud foundations OPS-01 Beginner

    24 hours 11 lessons πŸŽ“ 1 free certification πŸ“š 8 library resources βœ“ Expert reviewed ❓ 10 interview questions

  5. 11

    LLMOps: deploying Generative AI and agents OPS-03 Advanced

    21 hours 11 lessons πŸŽ“ 1 free certification πŸ“š 8 library resources βœ“ Expert reviewed ❓ 8 interview questions

4. Prove it

2 packs Β· 50 hours

A capstone project, then portfolio, resume and interview practice.

  1. 12

    Capstone project CAP-01 Advanced

    24 hours 9 lessons βœ“ Expert reviewed ❓ 8 interview questions

  2. 13

    Career readiness: portfolio, resume and interviews CAR-01 Beginner

    26 hours 15 lessons πŸŽ“ 1 free certification βœ“ Expert reviewed ❓ 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.

See every your industry pack

Sign up free to see the free certifications and interview preparation for this role

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