The AI Engineer Onramp: From Vibe Coding to AI-Assisted Development

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    Software Engineering · Online Course

    Online Course

    Learning format

    $Not publicly disclosed

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Using Git workflows with proper branch development
    • Debugging AI-generated code effectively and confidently
    • Connecting frontend, backend, and LLM components together
    • Building and deploying scalable backend systems
    • Vibe-coding functional frontends without losing control
    • Setting up a professional AI-assisted development environment

    Best For

    • Builders wanting shareable, working prototypes
    • Those curious about AI development
    • Engineering leaders wanting hands-on skills
    • Aspiring AI engineers, not daily coders

    Not For

    • Non-technical roles, no coding interest
    • People unwilling to do weekly homework
    • Those with zero Python/Git familiarity
    • Experienced, senior AI engineers already

    FAQ

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    About the creator

    Dr. Greg Loughnane

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    Technology & AI Engineering Education · Columbus, Ohio

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    Dr. Greg Loughnane
    Featured video — Dr. Greg Loughnane

    The AI Engineer Onramp: From Vibe Coding to AI-Assisted Development

    Dr. Greg Loughnane is Co-Founder and CEO of AI Makerspace, a community for building, shipping, and sharing production LLM applications. A TEDx speaker based in Columbus, Ohio, he previously led curriculum at Andrew Ng's FourthBrain, worked with DeepLearning.AI on ML engineering content, led NASA 3D-printing projects, and taught university engineering courses for a decade.

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    Reviews, Scores & Student Outcomes

    Unclaimed Profile

    The AI Engineer Onramp teaches aspiring AI Engineers to build, ship, and share complete, end-to-end LLM applications not just complex backends. It covers setting up a professional AI-assisted development environment, vibe-coding frontends responsibly, connecting front-end and back-end components, and deploying to a public endpoint. It was built specifically because many capable backend builders in AI Makerspace's larger bootcamp struggled to produce shareable, working prototypes. It includes live sessions, 10+ hours of weekly office hours, and a peer community.

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