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    ML Engineering

    Build intelligent systems

    Master machine learning from fundamentals to production. Learn supervised/unsupervised learning, deep learning with TensorFlow/PyTorch, and MLOps.

    Duration10 months
    OutcomeML Engineer
    PrerequisitesPython Development course OR equivalent Python experience
    Technologies
    PythonNumPyPandasScikit-learnTensorFlowPyTorchMLflowDocker
    10+ projects
    Math foundations
    Production focus
    Research exposure
    Your Learning Journey

    Curriculum Roadmap

    Navigate through your learning path. Click any stage to explore details.

    StartMonth 1 · Math Foundations Complete
    Month 1

    Math Foundations

    Linear AlgebraCalculus+2
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    Month 2

    Data Science Basics

    NumPyPandas+2
    View Details
    Month 3-4

    Classical ML

    Supervised LearningUnsupervised Learning+2
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    Month 5-6

    Deep Learning

    Neural NetworksCNNs+2
    View Details
    Month 7-8

    Advanced DL

    NLPComputer Vision+2
    View Details
    Month 9

    MLOps

    Model DeploymentMLflow+2
    View Details
    Month 10

    Capstone

    End-to-end ProjectDeployment+2
    View Details
    Journey Complete!

    You've mastered the full curriculum

    Industry Certifications
    Machine Learning (freeCodeCamp)
    Hands-On Learning

    Portfolio Projects

    WeeklyInterviews
    1+Certifications
    70%Hiring Access

    Ready to start?

    Join the next cohort and transform your career in 10 months.

    5-min application · Free consultation · Start in 2 weeks