All tracks

AI / Machine Learning

Teach machines to think

From Python basics to deep learning — TensorFlow, PyTorch, LLMs, and production ML pipelines

5 steps~32 weeks
  1. 1

    Python & Data Fundamentals

    Learn Python programming, NumPy, Pandas, and data manipulation essentials.

    PythonNumPyPandasJupyterData Cleaning
    6 weeks1 resource
  2. 2

    Machine Learning Foundations

    Master supervised and unsupervised learning with scikit-learn and real-world datasets.

    Scikit-learnRegressionClassificationClusteringFeature Engineering
    8 weeks1 resource
  3. 3

    Deep Learning & Neural Networks

    Build neural networks with TensorFlow and PyTorch. Train CNNs, RNNs, and transformers.

    TensorFlowPyTorchCNNsRNNsTransformers
    8 weeks1 resource
  4. 4

    LLMs & Generative AI

    Work with large language models, prompt engineering, fine-tuning, and RAG pipelines.

    LLMsPrompt EngineeringFine-tuningRAGHugging Face
    6 weeks1 resource
  5. 5

    MLOps & Production AI

    Deploy ML models to production with monitoring, A/B testing, and cloud infrastructure.

    MLOpsModel DeploymentA/B TestingCloud AIMonitoring
    4 weeks1 resource