Comprehensive 6-Month Machine Learning & Deep Learning Program

Month Machine Learning & Deep Learning Course

AI & ML (Artificial Intelligence and Machine Learning) is a technology-focused program that teaches

Build a complete career foundation in AI with our 6-month Machine Learning & Deep Learning course in Calicut. Go from data preprocessing and mathematical foundations to advanced neural network architectures, computer vision, and sequence modeling. Through hands-on projects using Scikit-Learn, PyTorch, TensorFlow, and Hugging Face, you will gain the expertise to design, train, and deploy production-ready AI models in Calicut.

Month Machine Learning & Deep Learning Curriculum

  • Python, Data Analysis & Mathematical Foundations

    1. Python for Data Science: NumPy, Pandas, Data Cleaning, and Matplotlib/Seaborn.
    2. Mathematics for AI: Linear Algebra, Multivariate Calculus, Probability, and Optimization.
  • Core Machine Learning Algorithms

    1. Supervised Learning: Linear/Logistic Regression, Decision Trees, and Ensemble Methods (Random Forest, XGBoost).
    2. Unsupervised Learning: K-Means, Hierarchical Clustering, PCA, and Dimensionality Reduction.
  • Machine Learning Engineering & Feature Pipelines

    1. Feature Engineering, Cross-Validation, Hyperparameter Tuning, and Model Evaluation Metrics.
    2. End-to-End ML Pipeline Architecture, Scikit-Learn Pipelines, and ML Model Deployment with FastAPI.
  • Deep Learning Foundations & Artificial Neural Networks

    1. Perceptron Model, Multi-Layer Perceptrons (MLP), Activation Functions, and Backpropagation.
    2. Building and Training Neural Networks with PyTorch and TensorFlow/Keras.
  • Computer Vision (CNNs) & Natural Language Processing (RNNs)

    1. Convolutional Neural Networks (CNNs), Pooling, Data Augmentation, Transfer Learning, and Object Detection.
    2. Recurrent Neural Networks (RNNs), LSTMs, GRUs, Sequence Models, and Sentiment Analysis.
  • Transformers, Generative AI Foundations & Capstone Project

    1. Attention Mechanisms, Transformer Architectures (BERT, GPT), and Hugging Face Ecosystem.
    2. End-to-End Industry Capstone Project: Model Training, MLOps Tracking, Containerization, and Deployment.



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