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
No-Code 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!
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