How AI is changing your work
L1 password resets, access requests and FAQ tickets are increasingly resolved by AI chatbots connected to knowledge bases.
L2/L3 engineers are getting AI copilots that summarise logs and suggest fixes from past incidents. Someone has to build, tune and monitor those copilots.
AIOps and agentic automation for IT operations is a growing field: agents that read alerts, check dashboards and execute runbook steps with human approval.
What you already bring to AI
Runbooks & knowledge bases
The raw material for RAG systems. You know what’s missing and outdated.
Troubleshooting
Debugging AI pipelines and agent failures systematically.
Linux, networking & tooling
A head start on deployment, Docker and cloud.
User empathy
Designing AI support experiences users actually accept.
Your 6-month roadmap
Same live classes as every other learner, with the examples, projects and interview preparation angled toward where you're coming from.
- Months 1–2
Python, Linux, Bash, Git and FastAPI, building on the tools you already touch.
- Month 3
ML and NLP: ticket classification, text similarity, embeddings.
- Months 3–4
RAG over runbooks and resolved tickets, with evaluation.
- Months 4–5
Agentic AI for IT workflows: tool calling, approvals and safe automation.
- Months 5–6
Docker, Kubernetes, CI/CD and AWS, then a support-automation portfolio.
Roles you can target
GenAI engineer (support automation)
Build RAG chatbots and copilots over ticket history and runbooks.
AIOps / AI platform engineer
Agents and automation for IT operations and incident response.
MLOps engineer
Deploy and monitor AI systems. Your ops experience counts.
The honest challenges
A career switch into AI is very doable, and it isn't easy. Here is what to expect:
- Rotational and night shifts make live attendance harder. Plan around recordings and weekends.
- Development interviews go deeper than support interviews, so practise coding daily.
- Experience in years won’t transfer one-to-one into seniority in a new AI role.
Projects in your portfolio
- Production RAG chatbot over private company documents
- Multi-agent workflow built with LangGraph
- Fine-tuned domain-specific LLM
- NLP service serving live predictions through FastAPI
- Full MLOps deployment on AWS with CI/CD and monitoring