Introduction to Artificial Intelligence

About the Course:

The “Artificial Intelligence” course is an intermediate level course, curated exclusively for both beginners and professionals. The course covers the basics as well as the advanced level concepts. The course contains content based videos along with practical demonstrations, that performs and explains each step required to complete the task.

Learning Objectives:

By the end of the course, you will be able to learn about:

• Artificial Intelligence in detail

• Need of Artificial Intelligence

• Stages of Artificial Intelligence

• Applications of Artificial Intelligence

• Image Recognition

• Effects of Artificial Intelligence on Society

• Solving Complex Social Problems

• Benefits of Multiple Industries

• Fundamentals of Machine Learning and Deep Learning

• Relationship between Machine Learning and Statistical Analysis

• Machine Learning Process

• Types of Machine Learning

• Introduction to Unsupervised Learning

• Introduction to Semi-supervised Learning

• Algorithms of Machine Learning

• Regression

• Naive Bayes

• Naive Bayes Classification

• Machine Learning Algorithms

• Deep Learning

• Artificial Neural Network Definition

• Definition of Perceptron

• Online and Batch Learning

• Machine Learning Workflow

• Getting more data

• Asking a Sharp Question

• Adding Data to the Table

• Checking for Quality

• Transforming Features

• Performance Metrics

• Need For Performance Metrics

• Methods of Performance Metrics

• Confusion Matrix Example

• Terms of Confusion Matrix

• Minimize False Cases

• Minimize False Positive Example

• Accuracy

• Precision

• Recall or Sensitivity

• Specificity

• F1 store

...and much more!

If you're new to this technology, don't worry - the course covers the topics from the basics. If you've done some programming before, you should pick it up quickly.

If you’re a programmer looking to switch into an exciting new career track, this course will teach you the basic techniques used by real-world industry AI developers. These are topics any successful technologist absolutely needs to know about, so what are you waiting for? Enroll now!

Who this course is for:

• Candidates who are willing to learn AI from scratch
• IT professional willing to upskill themselves in AI
• Python developers willing to upskill themselves
• Data Scientist or Machine Learning Developers willing to upskill themselves