Hi there!

This course aims to provide you with an overview of Artificial Intelligence (AI) & Machine Learning (ML) using simplified explanations and hands-on projects.

We will be covering the following topics in this course:

Introduction to Artificial Intelligence (AI) & Neural Networks

Difference between Artificial Intelligence, Machine Learning & Deep Learning

Standardized Architecture for AI & ML Systems

Machine Learning (ML) Algorithms - Supervised vs Unsupervised vs Reinforcement Learning

Day in a life of an AI & ML Engineer

Skills you will need for an AI & ML Engineer role

Methods to evaluate the performance of Machine Learning Models

Confusion Matrix, Accuracy, Precision, Recall

Epoch, Learning Rate, Batch Size

Hands-on AI & ML Projects with Open-Source Tools

Summary

This is the first version of this course and it will be updated as we continue to witness the evolution of Artificial Intelligence and Machine Learning. My goal is to ensure people from all over the world are able to access this course and are able to learn the fundamentals of AI & Machine Learning and apply the same in their journey.

You will benefit from this course if:

You want to learn the basics of AI & Machine Learning and you are looking for beginner-friendly hands-on exposure

You are contemplating switching your career to Artificial Intelligence & Machine Learning

You have a genuine interest in improving your understanding of AI & Machine Learning

You want to learn the standardized framework used to build and evaluate AI/ML Models

You are building a new startup and need to solidify your understanding of AI & ML concepts

Hope you will enjoy this course!