As we all know, AI and Machine Learning are the trending technologies which every company wants to inculcate in their projects through Machine Learning is a part of Artificial Intelligence there are various courses. But is it worth to randomly choose any course and invest Huge amount for these courses? There are many technical leaders who want to learn ML but generally end up by taking those courses which are not worth. Here we are there to help you out which course you should opt for to Learn ML
Why Should you use audacity Platform to learn ML?
There are various courses available here. Before taking any course you must verify and then move forward.
Udacity is a fantastic learning platform for students or employees who want to learn trending technologies. Have a look at why Udacity courses and teaching pattern are far away better. If you are eager to learn ML then after getting the course what benefits you can get
1.Syllabus for ML
Prerequisite: Intermediate Python programming knowledge and intermediate knowledge of machine learning algorithms is a must.
- Software Engineering Fundamentals
- Machine Learning in Production
- Machine Learning Case Studies
- Machine Learning Capstone
With this, you are required to complete tasks which are given hands-on
2. Udacity Deals with Real-World Projects
IMG SRC: quora
Having practical knowledge is what is most important to learn. With real-world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.
3.1-on-1 technical mentor with Personal career coach and career services
IMG SRC: Noha graduate
By joining the course on Udacity, Get a knowledgeable mentor who guides your learning and is focused on answering your questions, motivating you and keeping you on track. With that, you will also get a guide of interview tips, resume strengthen, career coaching sessions
4. Why should I enrol?
As more and more companies are looking to build machine learning products, there is a growing demand for engineers who are able to deploy machine learning models to global audiences. In this program, you’ll learn how to create an end-to-end machine learning product. You’ll deploy machine learning models to a production environment, such as a web application, and evaluate and update that model according to performance metrics. This program is designed to give you the advanced skills you need to become a machine learning engineer.
