Introduction To Artificial Intelligence: 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 perform and explain 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 for 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 to 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 professionals are willing to upskill themselves in AI.
• Python developers are willing to upskill themselves.
• Data Scientists or Machine Learning Developers willing to upskill themselves.