Course Details

Artificial Intelligence (AI) is transforming the world and is becoming a revolution in this information age. The world now seeks intelligent interactive, real-world applications capable of making generic decisions over explicit programming. Through this course, students learn the concepts of AI and implement their techniques to solve real-world problems. FSEai opts for a top-down approach on learning AI, where the students-built applications before diving deep into the core mathematical concepts. Our trainers are international speakers and authors, worked with various prominent companies and are state-of-the-art educators. Also, Mr. Sherin Thomas is our lead educator and visionary of FSEai who is a major contributor to the deep learning community. This is a foundation course of FSEai for understanding the basic concepts of machine learning and deep learning, through live demonstrations of developing solutions to real-world problems

 Introduction to AI Theory & Python Programming

Introduction to Artificial Intelligence: Concepts, Terminology, Domains & Applications Setting up the environment with Anaconda and Jupyter notebook, Google Collab Getting started with Python coding Beginners guide to Git and Terminal Usage

 Machine Learning Regression

Types of Machine Learning: Concepts & Applications Predicting Boston House Prices with Linear Regression using NumPy Graphical visualization using Matplotlib & Seaborn

 Machine Learning Classification

Logistic Regression with Pandas Loss Function & Optimization Support Vector Machines (SVM)

Deep Learning Concepts

Machine Learning vs Deep Learning Introduction to Neural Networks Make your Fizz Buzz game using neural networks and NumPy Backpropagation concepts PyTorch: Tensors, AutoGrad & use a case in optimization Fizz Buzz game using neural networks and tensors

 Domain-based Application (Any application based on duration)

Real-time face recognition application Object detection application Automatic In-Out register for Parking lot using number plate recognition Document Scanner application Calculation of size of objects from images Gesture recognition application Sentiment Analysis using NLP