About this course

COURSE OVERVIEW

Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this course and you will learn about various algorithms that can be used to build Artificial Intelligence applications.

During the course, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that is based on images, text, stock market, or some other form of data.

Topics:

• Introduction to Artificial Intelligence
• Classification and Regression Using Supervised Learning
• Predictive Analytics with Ensemble Learning
• Detecting Patterns with Unsupervised Learning
• Building Recommender Systems
• Logic Programming
• Heuristic Search Techniques
• Genetic Algorithms
• Building Games With Artificial Intelligence
• Natural Language Processing

PROGRESSION

After this course you will be able to enroll to other NIIT courses such as
ROBOTIC PROCESS AUTOMATION
EXPLORE ROBOTIC USING ANDRUINO
DATA ANALYTICS USING PYTHON
ROBOT PROGRAMMING FOR ABSOLUTE BEGGINERS