Artificial Intelligence Training
Artificial intelligence (AI) has been one of the core research techniques in computer science since the beginning of the field, and in recent years an emergence in research and computational power has made AI development more accessible for developers. In this learning path, you will learn the foundation of AI and the techniques used to make AI solve problems.
About This Course
The world of artificial intelligence (AI) includes many areas in computing, which makes it a complex field. This course provides a useful description of AI, which will allow you to describe real-world problems as artificial environments.
Learning Objectives
Building intelligent agents (search, games, logic, constraint satisfaction problems)
Solving AI problems through programming with Python
Supervised learning techniques for regression and classification
Unsupervised learning techniques for data modeling and analysis
Target Audience
- Anyone interested in artificial intelligence and how it can be used to solve many problems.
Curriculum
59 Lessons15h
Understanding AI
What is Artificial Intelligence
What is Machine Learning
How do machine builds the logic
Machine Goal
The World of Gradient Descent
Derivative of a Function
Linear Regression algorithm
Working with machines
Can machine have vision?
Natural Language
Learning Complex Games
Using Tensorflow
Simplify ML using Keras
Deep Learning
Convolutional Neural Networks
Recurrent Neural Networks
