Getting Started in AI
You want to work in AI and you are not sure where to begin. The problem is almost never a shortage of courses. It is the shortage of a map. This page is that map: how a career in AI is actually built, which roles exist, and how to pick the one that fits you.
“Working in AI” is not one job
The single most useful thing to understand at the start is that “AI” is not a career. It is a field containing many careers, and they have less in common than the hype suggests.
The person who builds an AI application writes code. The person who advises a company on where AI helps does not. The person who designs how a large system fits together thinks in tradeoffs. These are different jobs, with different day-to-day work and different paths in. You do not learn all of it. You pick a lane, and you learn what that lane needs.
What the market actually looks like
A few honest facts clear away the myths that stop most beginners. AI Engineer is the single fastest-growing job title on LinkedIn, with postings up 143% year over year, and four of the five fastest-growing roles are AI-related. Jobs that require AI skills are growing roughly eight times faster than the job market overall.
You do not need a PhD for applied roles. Many AI roles do not require coding at all. And the payoff is real: workers with AI skills command a 62% wage premium over peers in the same roles without them. The barrier is knowing what to learn in what order, which is exactly what the rest of this page is for.
Every AI career has the same shape
Whatever role you choose, the path follows the same arc: understand the concepts your role relies on, practice on real problems, then prove it credibly so someone deciding whether to trust you has evidence, not just a claim. It is not “study for two years, then apply.” It is a loop you start on day one.
Choose who you want to become
Read these as “which of these is the person I want to be,” not “which sounds most impressive.” Each opens a full path: the day-to-day work, an ordered study plan, and how to prove yourself.
AI Solutions Architect
Designs how large AI systems fit together: what connects to what, the tradeoffs, and how it stays reliable at scale. Judgment over raw code.
AI / LLM Developer
Builds the actual applications: wiring models to tools and data, creating agents, shipping working software. The fastest-growing title in the field.
AI Consultant
Helps organizations find where AI genuinely helps and adopt it well, without necessarily building it. Translates business needs into what the tech can do.
AI Product Manager
Decides what an AI product should do, for whom, and why, then steers it from idea to launch. Sits between users, business, and the build team.
Not sure yet? That is fine, and common. If you come from a business, writing, or operations background, Consultant and Product Manager are natural on-ramps. If you enjoy building, look harder at Developer. You do not have to be certain. You have to start moving.
How you prove you actually know this
The hardest part of entering AI is not learning. It is showing you have learned before you have a job title that says so. Projects are the strongest signal. A visible track record helps. And certifications are the third piece, worth being honest about: on their own they carry limited weight, but paired with a project or two they become real proof, from a source hiring managers recognize.
Right now, the most developed certification track for building with today’s leading models is Anthropic’s program for Claude, which maps cleanly onto the roles above. As the field matures, other providers’ credentials will slot into the same map. This is where Sentievo fits: when you reach the point of proving what you know, we help you prepare properly, with practice that mirrors the real exam rather than a shortcut around it.
Ready to turn this into a schedule? Build a free, personalized study plan for any Claude certification: choose your weeks and weekly hours to get a phased roadmap through our concepts, diagnostics, and mock exams.
Your first steps this week
- Pick a lane. Choose the role above that fits who you want to become, and open its page. Direction beats motion in every direction at once.
- Learn one real concept. Read one foundational topic from the concept library and be able to explain it in your own words. Understanding compounds; start today.
- See where you stand. Try a free diagnostic for the certification that matches your lane. It costs nothing and turns a vague goal into a concrete starting point.
You do not need to be an expert this month.
You need a direction and a first step. You now have both.