Introduction To Ai - Machine Learning And Deep Learning
Published 9/2024
Duration: 3h37m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 936 MB
Genre: eLearning | Language: English
Jumpstart your career in Machine Learning and Deep Learning with this foundational course
What you'll learn
Understand the basic concepts and terminology in Machine Learning and Deep Learning
Gain intuition about how various Machine Learning and Deep Learning algorithms work
Learn how to use the concepts learned to solve a business problem
Be able to apply this knowledge to pursue a vendor certification
Requirements
Students must have a basic knowledge of undergraduate level mathematics in areas like Linear Algebra, Probability, Statistics and Calculus.
Although the course will not involve programming, a basic knowledge of Computer Science and programming would help. The algorithms discussed in the course will be shown using pseudo code. We have an optional module on Python that will be a refresher for those who have basic familiarity with the language.
Description
Today we see AI all around us.
From apps on our phone, to voice assistants in our room, we have gadgets powered by AI and Machine Learning.
If you're curious to know how machine learning works, or want to get started with this technology, then this course is for you.
This is a
beginner level course in AI - Machine Learning and Deep Learning
.
As students, you will gain immensely by knowing about this transformative technology, its potential and how to make the best use of it. It will open up opportunities in your existing jobs as well as prepare you for new careers.
It will go over the basic concepts, introduce the terminology and discuss popular Machine Learning and Deep Learning algorithms using examples.
It will be ideal for
•Students aspiring to begin a career in AI
•IT Professionals and Managers who want to understand the basic concepts
•Just about anyone who is curious to learn about AI
At the end of this course, you will
•Understand the basic concepts and terminologies in Machine Learning
•Gain intuition about how various Machine Learning and Deep Learning algorithms work
•Learn how to use Machine Learning to solve a business problem
•Be able to apply this knowledge to pursue a vendor certification
Are there any pre-requisites?
Students must have a basic knowledge of undergraduate level mathematics in areas like Linear Algebra, Probability, Statistics and Calculus. The course will provide a basic refresher on these concepts.
How much programming is needed?
Although there are labs in the course, they are optional. You can go through the course without doing any programming. However, a basic knowledge of Computer Science and programming would help.
The algorithms discussed in the course will be shown using pseudo code.
We have an optional module on Python that will be a refresher for those who have basic familiarity with the language.
Throughout the course we will provide various quizzes to test your understanding of the material.
This course will benefit both technical and non technical users who want a foundational understanding of this technology. And it will help you learn the fundamentals and begin exploring this space on your own.
And for those looking to get certified in this area, this course will be that important first step.
Join the AI revolution. Don't wait. Enroll now!
Who this course is for
Students aspiring to begin a career in AI
IT Professionals and Managers who want to understand the basic concepts
Just about anyone who is curious to learn about AI
Homepage
Screenshots
Introduction To Ai - Machine Learning And Deep Learning
