AI & ML using Python

  • About

    This course aims to provide an introduction to the basic principles, techniques, and applications of Machine Learning & AI. Develop expertise in popular AI & ML technologies and problem-solving methodologies, develop the ability to independently solve business problems using AI & ML, learn to use popular AI & ML technologies like Python, Anaconda (Spyder) to develop applications, develop a verified portfolio with some projects and algorithms that will showcase the new skills acquired.

  • Course Content

    1. Python for AI (Significant Functions, Packages, and Routines)
    2. Statistics & Probability (Descriptive & Inferential Stats,Probability & Conditional Prob)
    3. Visualization principles and techniques
    4. Value-based methods (e.g. Q-learning)
    5. Policy-based methods
    6. Recurrent Neural Networks (RNN)
    7. Deep Learning applied to Images using CNN
    8. Keras library for deep learning in Python
    In addition to this, there will be 8 mini-projects spread across topics such as:
    • Supervised Learning
    • Unsupervised Learning
    • Ensemble Techniques
    • Reinforcement Learning
    • Deep Learning
    • NLP

  • Certifications

    • A hard copy will be provided on the 2nd day of the workshop.
    • Also a digital certificate that can be downloaded any time and any number of times by which you can download from login IDs provided by the company.

  • Registration

    • Registration fee: RS.1190/-