Best Udacity Nanodegrees for Machine Learning

1. Udacity’s Become a Machine Learning Engineer Nanodegree Course

Do you want to use machine learning for your projects but don’t know where to start or how it works? Take this course.

There are a lot of different types of machine learning algorithms and techniques out there. But most books and tutorials focus on just one type. They can be overwhelming if you are new to the subject.

That is why experts from Kaggle and AWS co-developed this nanodegree course. The program will teach you everything from linear regression all the way up through deep neural networks.

Key Benefits

– Learn how to build your first machine learning model.
– Use the latest cutting edge techniques in the industry.
– Increase the chances of becoming a machine learning engineer at your dream company.

Key Details

– Estimated time: 3 months if you study 10 hours per week.
– Prerequisites: Intermediate Python programming skills and knowledge of machine learning algorithms.
– Price: $1,017 for 3-month access to course material.
– Application: All people regardless of experience and specific background can take this course.

2. Udacity’s Become a Machine Learning Engineer for Microsoft Azure Nanodegree Course

If you are a software developer, data scientist, or business analyst who wants to get started with machine learning, this nanodegree course is for you.

There is an incredible amount of hype surrounding artificial intelligence and machine learning right now. But what does it really mean? And how do companies use these tools in practice?

This nanodegree is worth the money because it will teach you how to build models using Azure Machine Learning. It covers everything from supervised and unsupervised learning techniques through deep neural networks. And it will teach you how to implement your new knowledge by doing real-world projects.

Key Benefits

– Learn how to build models using Azure Machine Learning.
– Get a job in the fields of data science or machine learning.
– Become more knowledgeable about the field of machine learning.
– Be able to do real-world projects that will help you apply your knowledge.

Key Details

– Estimated time: 3 months if you study 10-15 hours per week.
– Prerequisites: Prior experience with Python, machine learning, and statistics.
– Price: $1,017 for 3-month access to course material.
– Application: All people regardless of experience and specific background can take this course.

3. Udacity’s Intro to Machine Learning with TensorFlow Nanodegree Course

Learning machine learning is hard because there is a lot of information out there. Before you get started, it is really important to know the basics. You can apply machine learning in many ways, which is why it has become more popular in the last few years. Google, Facebook, Microsoft, and other tech companies use machine learning for things like image recognition and natural language processing.

If you want to get into this field or just learn about how it works, then this nanodegree course will teach you everything from A to Z. It will walk you through all the fundamentals that are needed to build your own algorithms using TensorFlow.

You will also get hands-on experience with real-world data sets. And you will learn about some advanced concepts including neural networks and convolutional networks.

Key Benefits

– Learn how to build your own machine learning algorithms using TensorFlow.
– Gain hands-on experience with real-world data sets.
– Learn about advanced concepts like neural networks.

Key Details

– Estimated time: 3 months if you study 10 hours per week.
– Prerequisites: Intermediate Python programming skills.
– Price: $1,017 for 3-month access to course material.
– Application: All people regardless of experience and specific background can take this course.

4. Udacity’s Intro to Machine Learning with PyTorch Nanodegree Course

Learning how to code can be hard. But if you want to get into the field of data science or machine learning, it is a must.

There are a lot of great resources for learning how to code and analyze data. But there are not many good options for people who want an in-depth course on machine learning. That is why Udacity partnered with Kaggle and AWS to create this nanodegree course.

In the course, you will learn all about the fundamentals of machine learning through coding projects. And you will learn about supervised and unsupervised algorithms while using Python and PyTorch.

The best part is that you will have access to real world datasets from Kaggle. That means you can put your new skills into practice right away.

Key Benefits

– Learn the fundamentals of machine learning through coding projects.
– Gain access to real world datasets from Kaggle.
– Build your skills in a supportive community.
– Get started immediately with practical projects and datasets.

Key Details

– Estimated time: 20 hours
– Prerequisites: Intermediate Python programming skills.
– Price: $20 per month to access all course materials.
– Application: All people regardless of experience and specific background can take this course.