Artificial Intelligence

Artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings. The term is frequently applied to the project of developing systems endowed with the intellectual processes characteristic of humans, such as the ability to reason, discover meaning, generalize, or learn from past experience.

Artificial intelligence and Machine Learning will impact all segments of daily life by 2025, with applications in a wide range of industries such as healthcare, transportation, insurance, transport and logistics, and customer service.

For creating scalable AI-powered algorithms, you need to learn the way of using tools to build them. Tensor Flow can be used for Object Detection on images or videos. Tensor Flow provides an API that helps you do it. Robot Navigation: Deep Learning using Tensor Flow can be used to train robots to perform human tasks.

Course Objective:

All complex real-world problems like self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection are solved with Artificial Intelligence (AI).

The main objective of this course is to give a comprehensive knowledge of the basic techniques for creating intelligent computer systems and a perception of how AI is applied to problems by introducing AI’s key problems, and the state-of-the-art models and algorithms used to undertake these problems.

The course is outlined to provide a summary of AI concepts and workflows, machine learning and deep learning, OPEN-CV, Tensor Flow and statistics essentials while providing a sufficiently strong foundation to encourage further research.

What Will I Learn?

• Artificial Intelligence
• Statistics Essentials
• Pre-Program Preparation
• Python
• Machine learning
• OPEN-CV
• Natural Language Processing
• Deep Learning
• TensorFlow