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How to Transition From Traditional IT to AI

What existing IT skills carry over into AI work, what gaps to fill, and a realistic transition timeline.

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Ajay Prajapat

Suggested mentor

Ajay Prajapat

AI Systems Architect

15+ years of experience · Ex-Apple

About mentor & skills Visit site
TechlyUpAI + CAREERHow toTransition FromTraditional ITto AIFREE WEBINAR TOPIC · VOTE
Ajay Prajapat, AI Systems Architect

innovatewithajay.com

About the suggested mentor

Ajay Prajapat

AI Systems Architect

  • 15+ years of experience
  • Ex-Apple

AI Systems Architect with 15+ years of experience, including building production GenAI systems — RAG pipelines, AI agents, prompt engineering and GenAI architecture. His sessions are hands-on: expect real workflows, live builds and honest trade-offs, not slideware.

Skills & expertise

  • AI-assisted Development
  • Full-stack Development
  • AI Agents
  • RAG & MCP
  • System Design
  • Project Reviews
  • Prompt Engineering
  • GenAI Architecture

A suggested match for this topic. The trainer and session details will be confirmed when the webinar is scheduled.

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What this session would cover

Proposed outline — the mentor finalises the agenda once this topic is scheduled.

  1. 1IT skills that transfer directly: programming, systems, databases, testing and support
  2. 2The gaps usually worth filling: data handling, AI APIs and evaluation
  3. 3Choosing a transition path that builds on your current role
  4. 4Using AI projects inside your current job as a bridge
  5. 5A realistic transition timeline and how to plan around work
  6. 6Presenting transferable experience when applying for AI roles

Who it's for

  • • Developers, testers, support and infrastructure professionals
  • • IT professionals considering an AI-focused move

You'd leave with

  • A map of your transferable skills and gaps
  • A transition plan with milestones
  • Ideas for AI projects within your current role