How to Start a Career in AI Without an AI Degree
Realistic entry paths into AI-related work without a formal AI degree, including what to learn first and how to show it.
Not scheduled yet — no date, time or fee fixed. The most-voted topic is hosted next.
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Suggested mentor
Ajay Prajapat
AI Systems Architect
15+ years of experience · Ex-Apple
About mentor & skills Visit siteinnovatewithajay.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.
Learn this topic with a mentor
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- Bring your own work — code, campaign, report or plan
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- Time, format and fee confirmed by email first
What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1The entry points into AI-related work that don't require a formal AI degree
- 2What employers usually look for instead: projects, fundamentals and communication
- 3What to learn first — programming, data basics or AI tooling — depending on your path
- 4Building two or three small projects that show real problem-solving
- 5Presenting your learning on a resume, profile and portfolio
- 6Realistic timelines and common traps like tutorial-hopping
Who it's for
- • Graduates from non-AI streams
- • Career switchers with some technical or analytical background
You'd leave with
- A chosen entry path and first learning steps
- Project ideas matched to that path
- A plan for presenting your work to employers
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