10 Best Advanced Machine Learning Courses You Must Know in 2025

Are you looking for the Best Advanced Machine Learning Courses?… If yes, then this article is for you. In this article, you will find the 10 Best Advanced Machine Learning Courses.

To gain Machine Learning skills, there are numerous courses available. But I have filtered these courses on the following criteria-

Criteria-

1. Rating of these Courses.
2. Coverage of Topics.
3. Engaging trainer and Interesting lectures.
4. Number of Students Benefitted.
5. Good Reviews from various aggregators and forums.

So, without wasting your time, let’s start finding the Best Advanced Machine Learning Courses–

Best Advanced Machine Learning Courses

1. AWS Machine Learning Engineer– Udacity

Rating- 4.7/5

Time to Complete- 5 months

This is a Nanodegree Program offered by Udacity. This Udacity Machine Learning Engineer Nanodegree program is best for those who have done some Kaggle Competitions and have a little bit of experience in Machine Learning algorithms. Or someone who had built a few Machine learning models.

The best part about Udacity Machine Learning Nanodegree is its deployment to AWS. Udacity Machine Learning Nanodegree has 4 courses and 5 Projects.

The whole Udacity Machine Learning Nanodegree is based on projects. After every set of courses, there is a project that you need to submit. 

Udacity Machine Learning Engineer Nanodegree focuses 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.

Projects Covered-

1. Predict Bike Sharing Demand with AutoGluon
2. Build an ML Workflow on SageMaker
3. Image Classification using AWS SageMaker
4. Operationalizing an AWS ML Project
5. Capstone Project- Inventory Monitoring at Distribution Centers

Extra Benefits-

• You will get a chance to work on real-world projects with industry experts.
• You will get Project feedback from experienced reviewers.
• You will also get Technical mentor support.

Who Should Enroll?

• Those who have previous understanding of Machine Learning algorithms and Python Programming knowledge.

Interested to Enroll?

If yes, then check out the details here- AWS Machine Learning Engineer

2. Advanced Machine Learning Specialization– Coursera

Rating- 4.5/5

Time to Complete- 10 months (If you spend 6 hours per week)

This Specialization series is an advanced series of courses. If you want to learn more than the basics of Machine Learning, then this is the best choice for you.

This specialization program fills out all the gaps in your knowledge in Machine Learning. As this is an advanced series of courses, that’s why you need to have more math knowledge.

In short, this specialization program is for those who are already in the industry. This course will sharpen their skills.

Throughout this Specialization program, you will create several projects, that will help you to build a more powerful portfolio.

This Specialization Program contains 7 Courses. Let’s see all these courses-

Courses Include-

1. Introduction to Deep Learning
2. How to Win a Data Science Competition: Learn from Top Kagglers
3. Bayesian Methods for Machine Learning
4. Practical Reinforcement Learning
5. Deep Learning in Computer Vision
6. Natural Language Processing
7. Addressing Large Hadron Collider Challenges by Machine Learning

Extra Benefits-

• You will get a Shareable Certificate.
• You will get a chance to work on a wide variety of real-world problems like image captioning and automatic game playing.
• Along with that, you will get a chance to take advice from Top Kaggle machine learning practitioners and CERN scientists.

Who Should Enroll?

• Those who have Intermediate level knowledge in Machine Learning.
• Or the one who is already in the industry and wants to sharpen Machine Learning skills.

Interested to Enroll?

If yes, then check out the details here-Advanced Machine Learning Specialization

3. Become a Machine Learning Engineer for Microsoft Azure– Udacity

Rating- 4.7/5

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

This Udacity Nanodegree Program will help you to enhance your skills by building and deploying sophisticated Machine Learning (ML) solutions using popular open-source tools and frameworks such as scikit-learn.

By using Azure Machine Learning’s MLOps capabilities, you will gain experience in understanding their ML models, protecting people and their data, and controlling the end-to-end ML lifecycle at scale.

Throughout this Udacity Nanodegree, you will work on Optimizing an ML Pipeline in Azure, Operationalizing Machine Learning, and Training and Deploying a Machine Learning Model in Azure.

Now let’s see the courses included in this program-

Courses Include-

1. Using Azure Machine Learning
2. Machine Learning Operations

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 prior experience with Python and Machine Learning.

Interested to Enroll?

If yes, then check it out here– Become a Machine Learning Engineer for Microsoft Azure

4. Python for Data Science and Machine Learning Bootcamp– Udemy

Rating- 4.6/5

Provider-Jose Portilla

Time to Complete- 25 hours

This is also one of the most popular courses available at Udemy. This course will teach you how to implement Machine Learning Algorithms. This course will also teach you how to use Pandas for Data Analysis, and Seaborn for statistical plots.

Now, let’s see the topics covered in this course-

Topics Covered-

• Programming with Python
• NumPy with Python
• Using pandas Data Frames to solve complex tasks
• Use pandas to handle Excel Files
• Web scraping with python
• Connect Python to SQL
• Use matplotlib and seaborn for data visualizations
• Use plotly for interactive visualizations
• Machine Learning with SciKit Learn, including:
• Linear Regression
• K Nearest Neighbors
• K Means Clustering
• Decision Trees
• Random Forests
• Natural Language Processing
• Neural Nets and Deep Learning
• Support Vector Machines
• and much more.

Extra Benefits-

• You will get a Certificate of Completion.
• You will also get 13 articles and 5 downloadable resources.
• Along with that, you will get lifetime access to the course material.

Who Should Enroll?-

• Those who have at least some programming experience.

Interested to Enroll?

If yes, then check out the details here- Python for Data Science and Machine Learning Bootcamp

5. Machine Learning Specialization– Coursera

Rating- 4.7/5

Time to Complete- 7 months (If you spend 3 hours/week)

This is the specialization program offered by Coursera. In this specialization program, you will learn major areas of Machine Learning such as Prediction, Classification, Clustering, and Information Retrieval. 

Throughout this program, you will get hands-on experience with machine learning from a series of practical case studies.

In the first case study, you will predict house prices using regression. In the second case study, you will analyze sentiment & loan default prediction using classification. The last and third case study is all about Finding Similar Documents.

So in a nutshell, this is the perfect program for you if you are looking for more practical-based learning.

There are 4 courses in this specialization program. Now let’s see the details of the courses-

Courses Details-

1. Machine Learning Foundations: A Case Study Approach
2. Machine Learning: Regression
3. Machine Learning: Classification
4. Machine Learning: Clustering & Retrieval

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Those who have some previous knowledge in Python and basic math.

Interested to Enroll?

If yes, then check out the details here-Machine Learning Specialization

6. Machine Learning: Algorithms in the Real World Specialization– Coursera

Rating- 4.6/5

Time to Complete- 4 months( If you spend 3 hours/week)

This is the other Best Advanced Machine Learning Course where you will learn how to apply machine learning to data analysis and automation. This specialization program will teach you how to prepare data for effective machine learning applications.

You will also learn how to implement supervised learning techniques on real case studies to analyze business case scenarios where decision trees, k-nearest neighbors, and support vector machines are optimally used.

There are 4 courses in this specialization program. Now let’s see the details of the courses-

Courses List-

1. Introduction to Applied Machine Learning
2. Machine Learning Algorithms: Supervised Learning Tip to Tail
3. Data for Machine Learning
4. Optimizing Machine Learning Performance

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Those who have previous understanding of analytics, math (linear algebra, matrix multiplication), statistics and beginner level python programming

Interested to Enroll?

If yes, then check out all details here- Machine Learning: Algorithms in the Real World Specialization

7. Artificial Intelligence for Trading– Udacity

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

8. Advanced Machine Learning-edX

Provider- ITMO University

Time to Complete- 5 weeks (If you spend 2-4 hours per week)

This is an advanced machine learning course offered by edX. In this course, you will learn advanced concepts of machine learning such as factor analysis, multiclass logistic regression, resampling and decision trees, support vector machines, and reinforced machine learning.

This course considered various examples and software applications. Now let’s see the syllabus of the course-

Course Syllabus-

1. Factor analysis
2. Multiclass logistic regression
3. Resampling and decision trees
4. Support vector machines
5. Reinforced machine learning

Who Should Enroll?

• Those who have basic knowledge of calculus, statistics, and linear algebra.

Interested to Enroll?

If yes, then check out the program details here- Advanced Machine Learning

9. Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization– Coursera

Rating- 4.5/5

Time to Complete- 3 months (5 hours/week)

This specialization program is an advanced-level program focused on advanced machine learning topics using Google Cloud Platform. This specialization program teaches you how to build scalable, accurate, and production-ready models for structured data, image data, time-series, and natural language text.

This specialization is a 5- Course series. Let’s see the details of the courses-

Courses List-

1. End-to-End Machine Learning with TensorFlow on GCP
2. Production Machine Learning Systems
3. Image Understanding with TensorFlow on GCP
4. Sequence Models for Time Series and Natural Language Processing
5. Recommendation Systems with TensorFlow on GCP

Extra Benefits-

• You will get a Shareable Certificate and Course Certificates upon completion.
• Along with that, you will get Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.

Who Should Enroll?

• Those who have basic Knowledge of machine learning and TensorFlow, experience in Python, and knowledge of basic statistics.

Interested to Enroll?

If yes, then check out all details here-Advanced Machine Learning with TensorFlow on Google Cloud Platform Specialization

10. Machine Learning, Data Science and Deep Learning with Python– Udemy

Rating- 4.6/5

Time to Complete- 14.5 hours

This is a Python-oriented course for machine learning. This course has hands-on Python code examples which you can use for reference and practice.

In this course, you will learn Deep Learning / Neural Networks (MLP’s, CNN’s, RNN’s) with TensorFlow and Keras, Sentiment analysis, Regression analysis, Reinforcement Learning, Feature Engineering, Hyperparameter Tuning, and much more.

After completing this course, there is one final project, which you need to complete.

Extra Benefits-

• You will get a Certificate of Completion.
• You will also get 6 articles and 1 downloadable resource.
• Along with that, you will get lifetime access to the course material.

Who Should Enroll?

• Those who know at least high school level math and some prior coding experience.

Interested to Enroll?

If yes, then check out the details here- Machine Learning, Data Science, and Deep Learning with Python

And here the list ends. So, these are the 10 Best Advanced Machine Learning Courses.

I hope these Best Advanced Machine Learning Courses will help you to learn advanced concepts of Machine Learning. 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 10 Best Advanced Machine Learning Courses. If you have any doubts or questions, feel free to ask me in the comment section.

All the Best!

Enjoy Learning!

Thank YOU!

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Though of the Day…

‘ Anyone who stops learning is old, whether at twenty or eighty. Anyone who keeps learning stays young.

– Henry Ford