Enclevia

AI and Intelligent Systems

4.7/5

Overview

This course covers the fundamentals and advanced concepts of artificial intelligence (AI) and machine learning. Students will learn to develop intelligent systems that can perform tasks such as data analysis, pattern recognition, and decision making.

This course delves into the fundamentals and advanced principles of artificial intelligence (AI) and machine learning, equipping students with skills to develop intelligent systems. Beginning with core AI concepts, students will explore supervised and unsupervised learning, neural networks, and deep learning models. They will gain hands-on experience in data analysis, enabling machines to recognize patterns and make informed decisions.

Through practical applications, students will learn how to apply algorithms to real-world problems, from predictive modeling to image and speech recognition. 

How much you learn each ?

Python
70%
R
73%
Core Machine Learning
84%
Deep Learning Models
85%
AI Development Tools
85%
Natural Language Processing
79%

Practice

Introduction to this Course

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