Docs · At a glance
GenBodha at a glance
The whole product on one page — for a fast read or a share. GenAI engineering for practitioners: stop watching tutorials, start shipping graded, running projects you can prove.
In one line: a structured, role-laddered curriculum for GenAI engineering across all 12 disciplines — not just app and agent, but inference, platform, evals, security, LLMOps and RAG — mapped to one ladder built on the published GenAI Engineering Role Taxonomy. Thirty-minute goals (objective → reading → quiz → graded lab, plus a hands-free chapter audio brief) build on each other, and a free job-description skill-gap map shows exactly which labs close your gap.
Who it's for & pricing
- Who it's for — working software engineers ready to ship production GenAI, and college students entering a job market built around it.
- Pricing — from $35/month per discipline. Place yourself at no cost — free goals to try out; save 20% on six-month plans; self-serve — start your first goal in minutes.
- Teams & pilots — inquiries@genbodha.ai · GenBodha Inc · Wilmington, Delaware.
Read the one-pager as text▾
Eight things that make it different
01Start where you actually are
A dependency system, not a playlist: every goal is sequenced by real prerequisites — you build on what you've actually proven. Your first step is free — a server-graded assessment drops you exactly where you should start in your discipline, with evidence, not self-assessment. A senior engineer starts deep in the discipline, not at goal 1 — and gets a shareable skill profile either way.
02Real labs. Real graders.
Every goal ends in a working LLM app you build in a hosted VS Code workspace and submit to an automated grader — pass/fail on running code, the way your job will judge you. In the learning labs you can't get stuck: inline hints and a per-step answer reveal, from your very first goal, while the held-out checkpoint runs with the AI pair-programmer switched off. Your curriculum tracks the field, too: freshly merged open-source PRs become graded units — quizzes now, hands-on labs rolling out — weeks or months after they ship, not a semester later.
03Your Bodha Aatma Agent: a learning twin
Every graded run, failed attempt, and quiz answer builds a model of what you actually know — not what you tell it. It resurfaces what you're about to forget with reviews generated at your edge — fresh each time, so you rebuild the concept instead of memorizing an answer — catches you when you're confident but wrong, and arrives at every failure already knowing what confused you. With receipts: “In March, async took you five attempts; today — first try, no hints.” ChatGPT remembers your chats; your Bodha Aatma Agent knows your evidence.
04Learn with the AI you'll work with
Claude Code in every lab terminal — the agentic tool you'll work with on the job. Your Bodha Aatma Agent works for you: an ask-anything panel that sees the exact section or quiz question you're on, plus a teach-it-back mode where explaining a concept to it surfaces the gaps you didn't know you had. Hosted Anthropic, Gemini, and OpenAI APIs — no keys, no setup. AI-assisted engineering is the job now; here's how you learn.
05A skill graph recruiters can check
Every lab you pass enters a live skill graph anyone can open from a link — a recruiter-auditable, signed record of the labs you actually passed, graded on running code, not watch-time. Paste the link on your LinkedIn or résumé and a hiring manager can verify what you can do without taking your word for it.
06Built from the hiring market, not a syllabus
We map every goal to the skills employers hire for — organized by GenAI-engineering role and published as the open role taxonomy anyone can cite.
07Proof you can apply it, not a certificate
A grounded mock interview already drills you the way a hiring manager will — so you perform the skill, not just hold it. Coming next is transfer: a held-out credential earned only by passing a problem you were never taught — server-graded on hidden tests, with the AI pair-programmer off — not by completing coursework.
08Bring your whole engineering org
Multi-seat plans with SSO, role-based access control, and encryption in transit and at rest — on our secure multi-tenant cloud. A live team capability graph maps every engineer against the hiring market, with gap-to-path. Start before you buy a seat: a free skill-gap report against the market.
The roster — 12 disciplines
- Forward Deployed GenAI Engineering
- GenAI Agent Engineering
- GenAI Application Engineering
- GenAI Data Engineering
- GenAI Engineering Leader
- GenAI Inference Engineering
- GenAI Platform Engineering
- GenAI Safety & Evaluation Engineering
- GenAI Security Engineering
- GenAI Solutions & Delivery
- GenAI Solutions Architecture
- LLMOps Engineering
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