Best Udacity Nanodegree for Machine learning You Should Enroll in 2022

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Do you want to know which is the Best Udacity Nanodegree for Machine learning?… If yes, you are in the right place. In this article, you will get to know about the Best Udacity Nanodegree for Machine learning. And along with that, you will also find some Free Machine Learning Courses available on Udacity. These Free Machine learning courses will be an addon for your machine learning journey.

Now, without any further ado, let’s get started-

Udacity has various Nanodegree programs for Machine Learning, but the best one is Intro to Machine Learning with TensorFlow.

Time to Complete- 3 months (if you spend 10 hrs/week) In this Nano-Degree program, you will learn foundational machine learning algorithms, starting with data cleaning and supervised models. Then this program will cover deep and unsupervised learning. The best part of this program is that at each step, you will get practical experience by applying your skills to code exercises and projects. There are 3 courses in this Nanodegree program, where you will learn about supervised machine learning algorithms such as Regression, Perceptron Algorithms, Decision Trees, Naive Bayes, Support Vector Machines, Evaluation Metrics, etc. You will also learn Deep learning and learn how to build an image classifier. Then you will learn about unsupervised learning algorithms such as Clustering, Hierarchical, and Density-Based Clustering, Gaussian Mixture Models, and Dimensionality Reduction. Now let’s see the details of the courses- You will get a chance to work on Real-world projects. Along with that, you will get Resume services, Github review, LinkedIn profile review. You Should Enroll If- You have Intermediate Python programming knowledge and familiar with data structures like dictionaries and lists. And you have basic knowledge of probability and statistics. Note- This Udacity Nanodegree for Machine learning is especially for those who have experience in Python but have not yet studied Machine Learning topics. If yes, then check it out here- Intro to Machine Learning with TensorFlow (Udacity)

So, “Intro to Machine Learning with TensorFlow” Udacity Nanodegree for Machine learning is best for Beginners. But if you have some basic understanding of Machine Learning concepts, then- Become a Machine Learning Engineer Nanodegree is best for you.

Time to Complete- 3 months (If you spend 10 hours per week) This is a Nano-Degree program designed for those who have a basic understanding of Machine Learning concepts. In this program, you will gain practical experience using Amazon SageMaker to deploy trained models to a web application and evaluate the performance of your models. In this Nanodegree program, there are 4 courses. In these courses, you will learn how to build machine learning algorithms and prepare them for scalable production systems. Then you will learn how to deploy ML models into a web app. In this Nanodegree program, you will work on different machine learning case studies. For example- Analyze purchasing habits of Starbucks customers, work through a real-world dataset and challenge provided by Arvato Financial Services, a Bertelsmann company, and create a project to identify dog breeds based on images. Now let’s see the courses included in this program- You will get a chance to work on Real-world projects. Along with that, you will get Resume services, Github review, LinkedIn profile review. You Should Enroll If- You have Intermediate Python programming knowledge and Intermediate knowledge of machine learning algorithms. If yes, then check it out here– Become a Machine Learning Engineer (Udacity)

If you want to learn Machine learning with AWS, then AWS Machine Learning Engineer Nanodegre is best for you. You can make accurate predictions, get deeper insights from your data, reduce operational overhead, and improve customer experience with AWS machine learning.

Time to Complete- 5 Months (If you spend 10 hours per week) Udacity has launched this New AWS Machine Learning Engineer Nanodegre Program. The focus of this Nanodegree is on the latest best practices and capabilities that are enabled by Amazon SageMaker, including new model design/deployment features and case studies to which they can be applied. In this Nanodegree program, you will learn how to create machine learning models in Sagemaker on datasets cleaned using AWS tools and how to deploy machine learning models to an API endpoint and integrate it into a full workflow. Throughout this Nanodegree program, you will solve computer vision and natural language problems using fine-tuned deep neural networks and operationalize a machine learning pipeline using SageMaker to allow for training and deployment on industry-scale problems. You will work on Image Classification using the AWS SageMaker project. Now let’s see the courses included in this program- You will get a chance to work on Real-world projects. Along with that, you will get Resume services, Github review, LinkedIn profile review. You Should Enroll If- You have basic knowledge of machine learning algorithms and Python programming. If yes, then check it out here– AWS Machine Learning Engineer

Udacity also has a Nanodegree Program for Machine Learning Engineer for Microsoft Azure. Azure Machine learning offers the utmost flexibility and extensibility with the feature to include R and Python code.

Udacity also has a Nanodegree program to learn Machine Learning with PyTorch.  PyTorch is more Pythonic in nature and it believes in a dynamic graph. The best part about PyTorch is due to its Pythonic nature it is easy to use, easy to debug, and has a great set of simple APIs.

So, these are the Best Udacity Nanodegree Programs for Machine learning. Now, as I mentioned that you will get some Free Udacity Machine learning courses at end of this article. Let’s check Udacity free courses Machine Learning-

This is a beginner-level free machine learning course on Udacity. In this course, you will get a complete understanding of machine learning basics. There is no prior experience is required to enroll in this Free course. Anyone who is a beginner can enroll in this course.

If yes, then check it out here– Intro to Machine Learning

This is another Free machine learning course on Udacity. This is an intermediate-level course where you will learn Supervised Learning, Unsupervised Learning, and Reinforcement Learning. Throughout this course, you will work on real-world projects designed by industry experts.

This course is not for beginners. You can enroll in this course if you know Probability Theory, Linear Algebra, and Statistics. Familiarity with programming language is also required.

If yes, then check it out here– Machine Learning by Georgia Tech

This is another intermediate-level free machine learning course on Udacity. This course will teach you how to build deep learning applications with TensorFlow. In this course, you will get a chance to work on projects and you will build your own state-of-the-art image classifiers and other deep learning models.

You will also learn advanced techniques and algorithms of deep learning. But You should have previous knowledge of linear algebra and Python programming.

If yes, then check it out here– Intro to TensorFlow for Deep Learning

This is an advanced-level free machine learning course on Udacity. This course is good for you if you have intermediate-level machine learning knowledge and you want to engage with the theoretical perspective of machine learning.

In this course, you will get a chance to learn from two of the foremost experts in this field of research, Profs. Charles Isbell and Michael Littman. But before taking this course, you should know Java programming and you are familiar with machine learning algorithms.

If yes, then check it out here– Reinforcement Learning

This is an intermediate-level free machine learning course, where you will learn how to deploy deep learning models on mobile and embedded devices with TensorFlow Lite. After completing this course, you can easily deploy your own deep learning models into your apps.

But this course required some previous understanding of the TensorFlow Lite framework and Object-Oriented Programming, Python, Swift, Android, and Machine Learning.

If yes, then check it out here–  Introduction to TensorFlow Lite

And here the list ends. I hope you have found the Best Udacity Nanodegree for Machine learning. I would suggest you bookmark this article for future referrals. Now it’s time to wrap up.

In this article, I tried to cover the Best Udacity Nanodegree Programs for Machine learning. If you have any doubts or questions, feel free to ask me in the comment section.

All the Best!

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