15 Best+FREE Udacity Machine Learning Courses in 2025

Udacity has a wide range of machine learning and deep learning courses. So if you are looking for Best Udacity Machine Learning Courses, then this article will help you. In this article, you will find the 15 best Udacity Machine Learning and Deep Learning courses. So give your few minutes to this article and find out the best Udacity machine learning course for you.

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

Best Udacity Machine Learning Courses

1. Become a Machine Learning Engineer

Rating- 4.6/5

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-

Courses Include-

1. Software Engineering Fundamentals
2. Machine Learning in Production
3. Machine Learning Case Studies
4. Machine Learning Capstone

Extra Benefits-

• You will get a chance to work on Real-world projects.
• You will get Technical mentor support.
• Along with that, you will get Resume services, Github review, LinkedIn profile review.

Who Should Enroll?

• Those who have Intermediate Python programming knowledge and Intermediate knowledge of machine learning algorithms.

Interested to Enroll?

If yes, then check it out here- Become a Machine Learning Engineer

2. Intro to Machine Learning with TensorFlow 

Time to Complete- 3 months (if you spend 10 hrs/week)

Rating- 4.7/5

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-

Courses Include-

1. Supervised Learning
2. Deep Learning
3. Unsupervised Learning

Extra Benefits-

• You will get a chance to work on Real-world projects.
• You will get Technical mentor support.
• Along with that, you will get Resume services, Github review, LinkedIn profile review.

Who Should Enroll?

• Those who have Intermediate Python programming knowledge.
• Who is familiar with data structures like dictionaries and lists.
• Those who have basic knowledge of probability and statistics.
• This is especially for those who have experience in Python but have not yet studied Machine Learning topics.

Interested to Enroll?

If yes, then check it out here- Intro to Machine Learning with TensorFlow (Udacity)

3. Deep Learning

Time to Complete- 4 months (If you spend 12 hours per week)

Rating- 4.7/5

This Nano-Degree program from Udacity will give you a complete understanding of Deep Learning. In this program, you will build convolutional networks for image recognition, recurrent networks for sequence generation, generative adversarial networks for image generation.

You will also learn how to implement gradient descent and backpropagation using NumPy matrix multiplication, how to prevent overfitting of training data and minimize the error of a network, how to define and train neural networks for sentiment analysis, etc.

This Nanodegree program will also teach you how to use Amazon’s GPUs to train neural networks faster. The instructor Sebastian Thrun explained about detecting skin cancer with CNN.

There are 5 courses in this Nanodegree program. Now let’s see the details of the courses-

Courses Include-

1. Neural Networks
2. Convolutional Neural Networks
3. Recurrent Neural Networks
4. Generative Adversarial Networks
5. Updating a Model

Extra Benefits-

• You will get a chance to work on Real-world projects.
• You will get Technical mentor support.
• Along with that, you will get Resume services, Github review, LinkedIn profile review.

Who Should Enroll?

• Those who have intermediate-level Python programming knowledge, and experience with NumPy and pandas.
• And who has math knowledge, including- algebra and some calculus.
• It’s a beginner-friendly program only Python knowledge is mandatory.

Interested to Enroll?

If yes, then check it out here– Deep Learning

4. AI Programming with Python

Rating- 4.6/5

Time to Complete- 3 Months (If you spend 10 hrs/week)

In this program, you will learn the essential foundations of AI. You will also learn programming tools like Python, NumPy, PyTorch.

This program will teach you the required math for AI like calculus and linear algebra. You will also learn the key techniques of neural networks like gradient descent and backpropagation.

There are 5 courses in this Nano Degree Program. Let’s see the details of the courses-

Courses List-

1. Introduction to Python
2. Anaconda, Jupyter Notebook, NumPy, Pandas, and Matplotlib
3. Linear Algebra Essentials
4. Calculus Essentials
5. Neural Networks

Extra Benefits-

• You will get a chance to work on Real-world projects.
• You will get Technical mentor support.
• Along with that, you will get Resume services, Github review, LinkedIn profile review.

Who Should Enroll?

• Those who have basic algebra and programming knowledge in any language.

Interested to Enroll?

If yes, then check out all details here- AI Programming with Python

5. AI for Healthcare

Rating- 4.6/5

Time to Complete- 4 months (if you spend 15 hours / week)

This Nano-Degree Program is dedicated to AI for Healthcare. In this program, you will learn how to build, evaluate, and integrate predictive models that have the power to transform patient outcomes.

This program starts with classifying and segmenting 2D and 3D medical images to augment diagnosis. And then modeling patient outcomes with electronic health records to optimize clinical trial testing decisions.

At the end of this Nano-Degree program, you will build an algorithm that uses data collected from wearable devices to estimate the wearer’s pulse rate in the presence of motion.

There are 4 courses in this Nano Degree Program. Let’s see the details of the courses-

Courses List-

1. Applying AI to 2D Medical Imaging Data
2. Applying AI to 3D Medical Imaging Data
3. Applying AI to EHR Data
4. Applying AI to Wearable Device Data

Extra Benefits-

• You will get a chance to work on Real-world projects.
• You will get Technical mentor support.
• Along with that, you will get Resume services, Github review, LinkedIn profile review.

Who Should Enroll?

• Those who have Intermediate Python and Machine Learning knowledge.

Interested to Enroll?

If yes, then check out all details here- AI for Healthcare

6. Artificial Intelligence for Trading

Rating- 4.6/5

Time to Complete- 6 Months (If you spend 10 hrs/week)

This is another Nano-Degree Program for those who want to implement AI in the Stock market. In this program, you will learn the basics of quantitative analysis, including data processing, trading signal generation, and portfolio management. 

After enrolling in this Nano-Degree Program, you will use Python to work with historical stock data, develop trading strategies, and construct a multi-factor model with optimization.

There are 8 courses in this Nano Degree Program. Let’s see the details of the courses-

Courses List-

1. Basic Quantitative Trading
2. Advanced Quantitative Trading
3. Stocks, Indices, and ETFs
4. Factor Investing and Alpha Research
5. Sentiment Analysis with Natural Language Processing
6. Advanced Natural Language Processing with Deep Learning
7. Combining Multiple Signals
8. Simulating Trades with Historical Data

Extra Benefits-

• You will get a chance to work on Real-world projects.
• You will get Technical mentor support.
• Along with that, you will get Resume services, Github review, LinkedIn profile review.

Who Should Enroll?

• Those who have some experience in programming with Python, and be familiar with statistics, linear algebra, and calculus.

Interested to Enroll?

If yes, then check out all details here- Artificial Intelligence for Trading

7. Intro to Machine Learning with PyTorch

Rating- 4.7/5

Time to Complete- 3 months (If you spend 10 hours per week)

This is a Nano Degree Program offered by Udacity. In this program, you will learn foundational machine learning techniques to gain more confidence in machine learning. This Nano degree program will provide you in-depth knowledge of Supervised Learning, Deep Learning, and Unsupervised Learning.

Throughout this Nano degree program, you will work with real-world projects. These projects are built-in relationships with industry experts and top-tier companies.

There are 3 courses in this Nanodegree program. Let’s see the details of the courses-

Courses List-

1. Supervised Learning
2. Neural Networks
3. Unsupervised Learning

Extra Benefits-

• You will get a chance to work on real-world projects with industry experts.
• You will get Project feedback from experienced reviewers and you will also get Technical mentor support.
• Along with that, you will get Resume services, Github review, LinkedIn profile review.

Who Should Enroll?

• Those who have intermediate level experience in Python and basic knowledge of probability and statistics.

Interested to Enroll?

If yes, then check out all details here- Intro to Machine Learning with PyTorch

8. Become a Computer Vision Expert

Rating- 4.7/5

Provider- Udacity

This program will teach you how to write programs for analyzing images, implementing feature extraction, and recognizing objects using deep learning models.

In this program, you will learn from basic image processing to building and customizing convolutional neural networks. This Nano-degree program contains projects such as facial keypoint detection, automatic image captioning, and landmark detection & tracking.

Along with this, you will learn techniques used in self-driving car navigation and drone flight.

There are 3 courses in this Nano Degree Program. Let’s see the details of the courses-

Courses List-

1. Introduction to Computer Vision
2. Advanced Computer Vision and Deep Learning
3. Object Tracking and Localization

Extra Benefits-

• You will get a chance to work on Real-world projects.
• You will get Technical mentor support.
• Along with that, you will get Resume services, Github review, LinkedIn profile review.

Who Should Enroll?

• Who has intermediate-level knowledge in Python, statistics, machine learning, and deep learning.
• Who has worked before with a deep learning framework like TensorFlow, Keras, or PyTorch.

Interested to Enroll?

If yes, then check out all details here- Become a Computer Vision Expert

9. Become a Natural Language Processing Expert

Rating- 4.5/5

Time to complete- 3 months (If you spend 10-15 hours per week)

In this Nano-degree program, you will learn cutting-edge natural language processing techniques to process speech and analyze text.

In this program, you will also build probabilistic and deep learning models, such as hidden Markov models and recurrent neural networks, to teach the computer to do tasks such as speech recognition, machine translation, and more.

This Nanodegree program will teach you how to use several techniques, including table lookups, n-grams, and hidden Markov models, to tag parts of speech in sentences, and compare their performance.

There are 3 courses in this Nano Degree Program. Let’s see the details of the courses-

Courses List-

1. Introduction to Natural Language Processing
2. Computing with Natural Language
3. Communicating with Natural Language

Extra Benefits-

• You will get a chance to work on Real-world projects with Industry Experts.
• You will get Technical mentor support, Github review, etc.

Who Should Enroll?

• Those who have Intermediate Knowledge of Python, Statistics, Machine Learning, & Deep Learning.

Interested to Enroll?

If yes, then check out all details here- Become a Natural Language Processing Expert

So, these are 9 paid best Udacity machine learning courses. Now let’s see the free best Udacity machine learning courses.

FREE Best Udacity Machine Learning Courses

10. Intro to Machine Learning

Time to Complete- 1 Week

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.

Interested to Enroll?

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

11. Machine Learning by Georgia Tech

Time to Complete- 4 Months

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.

Interested to Enroll?

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

12. Intro to TensorFlow for Deep Learning

Time to Complete-2 Months

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.

Interested to Enroll?

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

13. Reinforcement Learning

Time to Complete- 4 Months

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.

Interested to Enroll?

If yes, then check it out here– Reinforcement Learning

14. Introduction to TensorFlow Lite

Time to Complete- 2 Months

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.

Interested to Enroll?

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

15. Intro to Artificial Intelligence

Time to Complete- 4 Months

This is an intermediate-level free artificial intelligence course. This course will teach the basics of modern AI as well as some of the representative applications of AI including machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing.

To understand this course, you should have some previous understanding of probability theory and linear algebra.

Interested to Enroll?

If yes, then check it out here– Intro to Artificial Intelligence

And here the list end. I hope these Best Udacity Machine Learning Courses will definitely help you. I would suggest you bookmark this article for future referrals. Now it’s time to wrap up.

Conclusion

In this article, I tried to cover the 15 Best Udacity Machine Learning Courses. If you have any doubt or questions, feel free to ask me in the comment section.

All the Best!

Enjoy Learning!

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