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    Recruit talent

    Hire from proof, not resumes.

    Search anonymous candidates, filter by Signal Score, review portfolio timelines and lab artifacts, and move high-signal engineers into your hiring pipeline.

    Recruiter pipeline

    Production reliability

    Score pending

    Anonymous profile · timeline ready · no PII exposed

    Frontend systems

    Score pending

    Anonymous profile · timeline ready · no PII exposed

    Cloud platform

    Score pending

    Anonymous profile · timeline ready · no PII exposed

    Recruiter portal

    Hiring evidence without exposing student PII.

    Recruiters search anonymous candidates, filter by Signal Score, review portfolio timelines, and move qualified engineers into the hiring pipeline.

    Recruiter pipeline

    Production reliability

    Score pending

    Anonymous profile · timeline ready · no PII exposed

    Frontend systems

    Score pending

    Anonymous profile · timeline ready · no PII exposed

    Cloud platform

    Score pending

    Anonymous profile · timeline ready · no PII exposed

    Anonymous candidate search
    Signal Score filtering
    Portfolio timeline review
    Placement workflow
    Recruiter subscriptions
    PDF exports

    Signal Score

    Certificates are static. Signals prove how you work.

    Recruiters need evidence of debugging, code quality, AI collaboration, peer review, and Git hygiene.

    Candidate Signal Score

    0

    Illustration — real scores begin after enrollment and lab work

    Code quality0
    Debugging speed0
    AI collaboration0
    Peer reviews0
    Git hygiene0

    Skill radar

    Debugging heatmap

    Telemetry fills in as learners submit labs — no mock hiring data on the marketing site.

    How recruiters use it

    Certificates only prove completion. Signal Score turns working behavior into evidence: how fast students debug, how carefully they review, and how reliably they ship.

    Filter anonymous candidates by strengths

    Review portfolio timeline events

    Inspect lab and Signal Score evidence

    Compare production-readiness signals

    Explore Signal Score

    Pipeline

    Recruiter workflow

    Subscribe
    Search
    Review evidence
    Request interview

    Trusted learning signals

    Built for students, mentors, and hiring teams.

    Tedlab Academy combines live learning, AI feedback, and recruiter-safe evidence into one global platform operated by a US company.

    Trusted by learners, mentors, and hiring teams worldwide — with privacy-safe evidence and mentor-led standups built in.

    TypeScriptReactNext.jsNode.jsPostgresAutomated testingDockerCloudSecurityAI tooling

    Live mentorship

    2 blocks daily

    Morning and evening mentor coverage

    Recruiter evidence

    3 proof layers

    Score, portfolio timeline, and lab artifacts

    Global access

    Region-aware

    US company, worldwide learners

    Privacy-safe hiring

    Anonymized

    Recruiters browse without unnecessary PII

    FAQ

    Clear answers before you apply.

    Which engineering track should I start with?

    Most beginners start with Full-Stack Web Development or Frontend Development. Career changers targeting AI roles often choose Enterprise AI Software Engineering or AI Automation & Agentic Systems. Operations-minded learners align with DevOps Engineering or Foundational Cloud Engineering. Book a guidance call if you want a personalized recommendation.

    When do summer cohorts start?

    The first summer intake begins July 1, 2026. You can apply at any time — we add you to the next available cohort for your track.

    How does Signal Score work?

    Signal Score starts at zero for every learner. It updates only after you enroll and complete labs, lessons, and standups — combining code quality, debugging speed, AI collaboration, completion rate, peer reviews, Git hygiene, and communication into recruiter-safe evidence.

    Are sessions live?

    Yes. Cohorts include standups inside Tedlab Academy with mentor support, accountability, screen sharing when needed, and recordings you can watch anytime.

    What are the prerequisites?

    Basic computer literacy and a reliable internet connection. Beginner tracks assume no prior coding experience. Intermediate and advanced tracks require foundational programming knowledge.

    How much time should I commit per week?

    Expect 15-25 hours per week depending on your track and pace. This includes standups (2-4 hours), self-paced labs, and project work.

    What happens if I fall behind?

    The platform detects inactivity and stuck signals, then escalates to mentors so you get human help before you disappear.

    Do recruiters really hire from Tedlab Academy?

    Recruiters use anonymous profiles, portfolio timelines, and Signal Score filters on Tedlab Academy to identify candidates with practical engineering ability. Contact details require your approval via identity reveal requests.

    Is AI replacing mentors?

    No. AI handles instant code review and debugging feedback. Human mentors handle judgment, escalation, accountability, and career context.

    How does one-time payment work?

    Every course runs 6 or 9 months — not a full year. Pay monthly as you learn, or pay the full program upfront in USD. Nine-month tracks receive a 10% discount on one-time payment; six-month tracks are full price at checkout.

    How does Hired-to-Pay work?

    Approved learners can apply for an outcome-aligned model where payment is deferred until after they are hired.

    Do I keep access after completing a course?

    Yes. Graduates retain access to course materials, session recordings, and their Signal Score profile. Your recruiter visibility continues as long as your account is active.

    Stop Watching Tutorials. Start Engineering.

    Join a cohort built for proof, not passive learning. Or recruit talent backed by real work signals.

    Apply for cohort Sign in
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