In this Machine Learning Engineer Nanodegree review, we’ll see how good the program is and if it’s worth it. Udacity’s Machine Learning Engineer Nanodegree offers rich learning content with a career coach.
In this Udacity Machine Learning Nanodegree review, we’ll help you decide if this is the right course for you or not. We’ll then go ahead and break down its features and finally concluded if it’s worth it.
Udacity Machine Learning Engineer Nanodegree Review
Before we get into the details, let’s go through some of the common FAQs on this training course.
How is Udacity Machine Learning Nanodegree?
Udacity’s Machine Learning Nanodegree is an excellent course if you qualify the recommended prerequisites. Various organizations recognize the certificate from Udacity, and its great if you get one. Also, their personal career coach will help you to create the best resume and portfolio.
Is Machine Learning Nanodegree Worth it?
Yes, the Nanodegree program to learn Machine Learning is worth it. The learning material provided here is one of the best in its class. The student community is great to interact with other like-minded students.
What is the cost of the Udacity Machine Learning Nanodegree?
Udacity Machine Learning Nanodegree price keeps changing since frequent offers would be going on. We suggest that you check their official page to check the latest cost.
Prerequisites of Machine Learning Engineer Nanodegree
So who should really consider taking this Machine Learning Nanodegree from Udacity? To make this Nangodegree program in Machine Learning, you must have completed their earlier course, Intro to Machine Learning with PyTorch.
So you must know Python and high school math of probability and statistics. If you know Python and have enough knowledge of Machine Learning algorithms, then this program is right for you.
If you’re starting from scratch, then consider taking the best Python course on one of the popular platforms like edX, Coursera, and Udemy. Feel free to take the recommended courses from your preferred platform before Machine Learning.
Since this Machine Learning Nanodegree program is for those who know ML algorithms and Python, you can consider another great alternative. Springboard’s Machine Learning Engineer Career track program is the one you should consider. It has the best curriculum in Machine Learning that covers everything there is in ML.
Machine Learning Engineer Nanodegree syllabus
In this program, you are taught on the advanced topics on Machine Learning. This includes Machine Learning algorithms and techniques on live real-world tasks. You also gain ML exposure to the cloud environment. You can check out the entire Machine Learning Nanodegree syllabus on their site.
That means you do not need to enroll in another Machine Learning course to work on the Cloud environment. This single course will serve your purpose. This Machine Learning Nanodegree syllabus will also train you on the Amazon SageMaker.
In the AWS Cloud, you will deploy a trained Machine Learning model and check the performance. Then you will also do A/B testing of your ML models and update your models to tune for efficiency.
Below is the syllabus overview that will be used to prepare to you become Machine Learning Engineer:
- Software Engineering Fundamentals
- Machine Learning in Production
- Machine Learning Case Studies
- Machine Learning Capstone
After enrolling in the Nanodegree program, you can finish the course in 3 months. However, you should dedicate at least 10 hours per week to complete the Machine Learning Engineer Nanodegree successfully.
To get more hands-on practice on Machine Learning, you must take part in more projects. To help you, we’ve listed the best Machine Learning projects for beginners.
Features of Machine Learning Engineer Nanodegree
Every paid course on Udacity comes with unique features; they are:
Real-world projects from industry experts:
Real-world projects are designed to prepare you for real-world tasks that you get on a real job. Meaning, you will be equipped with job-ready skills by the end of the course. This gives you an edge over other Machine Learning courses.
Student community and Technical mentor support:
You can use the student community to find answers to many questions on the course material, interview tips, or the next steps in the learning. Technical mentor support is there to help you answer every query. Also, you can reach out to them if you’re having trouble with your project. Their support is outstanding, and the response time is quick.
A personal career coach and Career services:
A career coach is always there for you when you need them. It’s one of the best features of the Udacity Nanodegree programs. It’s very easy to be distracted and go off the track of the course. The coach will help you to stay on track of the program.
You will receive interview tips from them so you can prepare better and have a good chance of landing a job in your dream company. Their help in building your resume will outshine others. Your resume is reviewed by them, and feedbacks are given to make the revision.
They will also review your Linkedin profile to check if you’ve updated your portfolio in the best way possible. Although Udacity’s offering to their every course is unique, it cannot be compared to the Springboards ML course.
Summary: is Udacity Machine Learning Nanodegree Worth it?
Yes. This Machine Learning Engineer Nanodegree review is to help you make the decision. The features and offers by Udacity are definitely better than the Machine Learning courses offered on other platforms such as Udemy, edX, and Coursera.
Also, the certification from Udacity is one of the most recognizable certificates across the globe. We’ve also listed the best online course to learn Machine Learning on different platforms.