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Python for Artificial Intelligence is a course that aims to teach you the basics of Pythonprogramming language and its applications in the field of artificial intelligence. The coursecovers the fundamentals of Python programming, as well as some of the popular librariesused in AI such as NumPy, Pandas, Matplotlib and TensorFlow.This course also includes Introduction to Web Technologies is a course which covers thebasics of how the web works, the technologies used to build web applications, and the bestpractices for building modern web applications. The course covers the fundamental conceptsof web development and the most commonly used web technologies, including HTML, CSS,and JavaScript, and using git for version control..
Learn tools and techniques used in industry - Git, cloud hosting, coding standards, best practices followed by the industry.
Covers every aspect of application development - UI, Database and Backend development
Step by step approach: Students develop a part of the project while learning each technology
○ Introduction to AI ○ Data science overview ○ Applications of data science ○ Data science project life cycle ○ Types of Data
○ Programming environment setup ○ Fundamentals of python
○ OOP ○ Modules and functions ○ Data structures in python ○ Iterators & Generators ○ Exception handling ○ Files in python
○ Introduction to anaconda, Jupyter notebook ○ Basic statistics with python ○ Statistics and probability ○ Statistical Inference and Hypothesis testing ○ Working with NumPy arrays ○ Working with TensorFlow ○ Programming with arrays ○ File operations and handling with Pandas
○ HTML ○ CSS ○ JavaScript ○ GitHub ○ Web Hosting
