Edu/MCA/AI & Machine Learning

    AI & Machine Learning

    Master Artificial Intelligence and Machine Learning from the ground up. Build real-world skills through structured modules, hands-on practice, and interactive examples.

    Beginner Friendly
    Practical Exercises
    Interactive Labs
    Exam Ready
    2 of 6 modules available

    Course Modules

    Introduction to AI & ML

    Discover what Artificial Intelligence and Machine Learning are, why they matter, and how they are transforming the world around you.

    Topics Covered

    What is AI?Why Learn AI?Real-world ExamplesGetting Started

    Environment Setup

    Set up your Python environment, install essential ML libraries like NumPy, Pandas, Scikit-learn, and configure Jupyter Notebook.

    Topics Covered

    Python InstallationVS Code SetupJupyter NotebookKey Libraries
    Coming Soon

    Machine Learning Algorithms

    Explore supervised and unsupervised learning algorithms including Linear Regression, Decision Trees, KNN, and Clustering.

    Topics Covered

    Linear RegressionDecision TreesKNNK-Means Clustering
    Coming Soon

    Data Preprocessing

    Learn how to clean, transform, and prepare datasets for machine learning models using Pandas and NumPy.

    Topics Covered

    Data CleaningFeature ScalingEncodingTrain-Test Split
    Coming Soon

    Neural Networks & Deep Learning

    Dive into deep learning — build neural networks with TensorFlow and Keras for image recognition, NLP, and more.

    Topics Covered

    PerceptronsActivation FunctionsBackpropagationCNNs
    Coming Soon

    Generative AI & LLMs

    Explore Large Language Models, prompt engineering, and how to build AI-powered applications using modern GenAI tools.

    Topics Covered

    LLM BasicsPrompt EngineeringRAGFine-tuning

    Ready to Dive In?

    Start with the Introduction module and build your AI foundation step by step.