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
- 304
- At 6 hours a week
- about 13 months
- Free certifications
- 19
- Library resources
- 87
- Interview questions
- 164
β All 145 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 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.
-
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
-
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 branch Β· 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 Β· Pick the sector you want to work in.
Sign up free to see the free certifications and interview preparation for this role
It takes a minute with your email. AiTeky Pass (βΉ999/month or βΉ9,999/year) is free for your first 30 days.

