Generative AI is no longer just a buzzword. In 2025, it's one of the most disruptive forces in the tech landscape—changing how we work, create, and innovate.
From conversational models like ChatGPT to image generators like DALL·E and enterprise copilots like Gemini, we’re seeing a fundamental shift in the kinds of skills and roles the job market is demanding. And it’s happening fast.
But one question remains at the center of this shift:
How do you actually start a career in generative AI?
It's More Accessible Than You Think
Contrary to popular belief, you don’t need a PhD or years of academic research to build a career in this space.
Many professionals are stepping into roles like Generative AI Engineer, Prompt Engineer, or AI Product Manager with backgrounds in software development, data analysis, or even non-tech domains. What matters most is a structured learning path, hands-on project experience, and the ability to adapt quickly.
Why Generative AI Careers Are Gaining Ground
The demand for generative AI talent is rising across nearly every industry—from finance and healthcare to marketing and education. Salaries are highly competitive. Many companies are offering remote-first roles, and the technology continues to evolve rapidly, making it one of the most future-proof career options available today.
A Practical Roadmap to Help You Begin
At JanBask Training, we recently published a detailed blog that outlines the full generative AI career roadmap—from learning foundational skills to mastering the tools and landing real roles in the job market.
It includes:
A comparison between generative and traditional AI
Roles, responsibilities, and average salaries
The exact tools and platforms to master
A step-by-step plan to build skills and get certified
Key trends that will define AI careers over the next few years
If you're serious about exploring this field or mentoring someone who is, this guide is a valuable place to start.
Read the Full Blog:
Generative AI Career Path: How to Start and Succeed in 2025
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