Machine learning 30 Best and Free online certification courses/ Tutorial

Please find the below list of Popular Online certification courses to learn Machine learning, Data science, R and Deep learning from scratch. Learn machine learning from top-rated instructors and top universities.

1. Machine Learning | Offered by "Stanford University" (Coursera)
2. Machine Learning "Specialization" | Offered by "University of Washington" (Coursera)
3. IBM Machine Learning Professional Certificate | Offered by "IBM" (Coursera)
4. Machine Learning for All | Offered by "University of London" (Coursera)
5. Tiny Machine Learning (TinyML) "Professional Certificate" | "Harvard university" (edx)
6. Machine Learning with Python: A Practical Introduction | Offered by "IBM" (edx)
7. Become a Machine Learning Engineer | NANODEGREE PROGRAM (Udacity)
8. Become a Machine Learning Engineer for Microsoft Azure | NANODEGREE PROGRAM (Udacity)
9. Machine Learning for BI, PART 2: Classification Modeling (Udemy)
10. Machine Learning A-Z: Hands-On Python & R In Data Science (Udemy)

Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more. Use Python for Data Science and Machine Learning.

Click on the below online education provider name to Jump their Machine learning courses.

Best Machine Learning online courses, certification, trainings, Tutorial programs

1. › Machine Learning for BI, PART 2: Classification Modeling (Udemy)

Link: https://www.udemy.com/course/machine-learning-for-bi-part-2

4.8 (26+ ratings) | 397+ students | 2.5 hours on-demand video | Full lifetime access | Certificate of completion.

In this Machine Learning for BI course you will learn:

Build foundational machine learning & data science skills, without writing complex code.

Use intuitive, user-friendly tools like Microsoft Excel to introduce & demystify machine learning tools & techniques.

Enrich datasets by using feature engineering techniques like one-hot encoding, scaling, and discretization.

Predict categorical outcomes using classification models like K-nearest neighbors, naïve bayes, decision trees, and more.

Apply techniques for selecting & tuning classification models to optimize performance, reduce bias, and minimize drift.

 

2. › Python for Data Science and Machine Learning Bootcamp (Udemy)

Link: https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp

4.6 (99,621+ ratings) | 445,895+ students | 25 hours on-demand video | Full lifetime access | Certificate of completion.

Learn how to use NumPy, Pandas, Seaborn , Matplotlib , Plotly , Scikit-Learn , Machine Learning, Tensorflow , and more. Use Python for Data Science and Machine Learning.

In this Python for Data Science and Machine Learning course you will learn:

Use Python for Data Science and Machine Learning. Use Spark for Big Data Analysis. Implement Machine Learning Algorithms. Learn to use NumPy for Numerical Data.

Learn to use Pandas for Data Analysis. Learn to use Matplotlib for Python Plotting. Learn to use Seaborn for statistical plots.

Use Plotly for interactive dynamic visualizations. Use SciKit-Learn for Machine Learning Tasks. K-Means Clustering.

 

3. › Machine Learning A-Z: Hands-On Python & R In Data Science (Udemy)

Link: https://www.udemy.com/course/machinelearning

4.5 (145,335+ ratings) | 768,746+ students | 44 hours on-demand video | Full lifetime access | Certificate of completion.

Learn to create Machine Learning Algorithms in Python and R from two Data Science experts. Code templates included. Master Machine Learning on Python & R.

In this Machine Learning A-Z course you will learn:

Master Machine Learning on Python & R. Have a great intuition of many Machine Learning models. Make accurate predictions. Make powerful analysis.

Make robust Machine Learning models. Create strong added value to your business. Use Machine Learning for personal purpose. Handle specific topics like Reinforcement Learning, NLP and Deep Learning.

Handle advanced techniques like Dimensionality Reduction. Know which Machine Learning model to choose for each type of problem.

 

4. › Machine Learning, Data Science and Deep Learning with Python (Udemy)

Link: https://www.udemy.com/course/data-science-and-machine-learning-with-python-hands-on

4.6 (24,943+ ratings) | 146,885+ students | 14.5 hours on-demand video | Full lifetime access | Certificate of completion.

Complete hands-on machine learning tutorial with data science, Tensorflow, artificial intelligence, and neural networks. Data Visualization with MatPlotLib and Seaborn.

In this Machine Learning, Data Science and Deep Learning with Python course you will learn:

Build artificial neural networks with Tensorflow and Keras. Classify images, data, and sentiments using deep learning.

Make predictions using linear regression, polynomial regression, and multivariate regression. Data Visualization with MatPlotLib and Seaborn.

Implement machine learning at massive scale with Apache Spark's MLLib. Understand reinforcement learning - and how to build a Pac-Man bot.

 

5. › Complete Machine Learning & Data Science Bootcamp 2021 (Udemy)

Link: https://www.udemy.com/course/complete-machine-learning-and-data-science-zero-to-mastery

4.6 (7,094+ ratings) | 42,176+ students | 42.5 hours on-demand video | Full lifetime access | Certificate of completion.

Learn Data Science, Data Analysis, Machine Learning (Artificial Intelligence) and Python with Tensorflow, Pandas & more. Become a Data Scientist and get hired.

Master Machine Learning and use it on the job. Deep Learning, Transfer Learning and Neural Networks using the latest Tensorflow 2.0. Use modern tools that big tech companies like Google, Apple, Amazon and Facebook use.

 

6. › Data Science and Machine Learning Bootcamp with R (Udemy)

4.7 (13,117+ ratings) | 68,663+ students | 17.5 hours on-demand video | Full lifetime access | Certificate of completion.

Learn how to use the R programming language for data science and machine learning and data visualization. Use R for Data Science.

This course is designed for both complete beginners with no programming experience or experienced developers looking to make the jump to Data Science.

Link: https://www.udemy.com/course/data-science-and-machine-learning-bootcamp-with-r

 

7. › Introduction to Machine Learning for Data Science (Udemy)

4.4 (9,269+ ratings) | 47,013+ students | 5.5 hours on-demand video | Full lifetime access | Certificate of completion.

Genuinely understand what Computer Science, Algorithms, Programming, Data, Big Data, Artificial Intelligence, Machine Learning, and Data Science is.

Link: https://www.udemy.com/course/machine-learning-for-data-science

 

Machine learning - Top Coursera's Machine learning Courses & tutorials

1. › Machine Learning | Offered by "Stanford University" (Coursera)

Enroll for free | 4.9 (159,344+ ratings) | 4,118,109+ students | Approx. 60 hours to complete.

This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include:

(i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks).
(ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).
(iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).

Link: https://www.coursera.org/learn/machine-learning

 

2. › Machine Learning "Specialization" | Offered by "University of Washington" (Coursera)

Enroll for free | 4.7 (11,610+ ratings) | 169,076+ students | Approximately 7 months to complete.

Build Intelligent Applications. Master machine learning fundamentals in four hands-on courses.

You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.

Link: https://www.coursera.org/specializations/machine-learning

 

3. › IBM Machine Learning Professional Certificate | Offered by "IBM" (Coursera)

Enroll for free | 4.7 (263+ ratings) | 6,805+ students | Approximately 6 months to complete.

Machine Learning, Time Series & Survival Analysis. Develop working skills in the main areas of Machine Learning: Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning. Also gain practice in specialized topics such as Time Series Analysis and Survival Analysis.

This program consists of 6 courses providing you with solid theoretical understanding and considerable practice of the main algorithms, uses, and best practices related to Machine Learning . You will follow along and code your own projects using some of the most relevant open source frameworks and libraries.

Link: https://www.coursera.org/professional-certificates/ibm-machine-learning

 

4. › Mathematics for Machine Learning "Specialization" | Offered by "Imperial College London" (Coursera)

Enroll for free | 4.6 (9,955+ ratings) | 123,186+ students | Approximately 4 months to complete.

Mathematics for Machine Learning. Learn about the prerequisite mathematics for applications in data science and machine learning.

WHAT YOU WILL LEARN:
- Implement mathematical concepts using real-world data
- Understand how orthogonal projections work
- Derive PCA from a projection perspective.

Link: https://www.coursera.org/specializations/mathematics-machine-learning

 

5. › Machine Learning for All | Offered by "University of London" (Coursera)

Enroll for free | 4.7 (2,467+ ratings) | 88,509+ students | Approx. 22 hours to complete.

You will understand the basic of how modern machine learning technologies work. Y?ou will be able to use a non-programming based platform train a machine learning module using a dataset.

Link: https://www.coursera.org/learn/uol-machine-learning-for-all

 

6. › Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate | Offered by "Google cloud" (Coursera)

Enroll for free | 4.5 (60+ ratings) | Approximately 8 months to complete.

Learn the skills needed to be successful in a machine learning engineering role. Prepare for the Google Cloud Professional Machine Learning Engineer certification exam.

Link: https://www.coursera.org/professional-certificates/preparing-for-google-cloud-machine-learning-engineer-professional-certificate

 

Machine learning - Best edx's Machine learning & Data science training Courses

1. › Tiny Machine Learning (TinyML) "Professional Certificate" | "Harvard university" (edx)

Expert instruction | Self-paced | 4 months.

Fundamentals of machine learning, deep learning, and embedded devices. How to use Python to train and deploy tiny machine learning models.

Link: https://www.edx.org/professional-certificate/harvardx-tiny-machine-learning

 

2. › Computer Science for Artificial Intelligence "Professional Certificate" | "Harvard university" (edx)

Expert instruction | Self-paced | 5 months.

A broad and robust understanding of computer science and programming. Graph search algorithms, Reinforcement learning, Machine learning.

Link: https://www.edx.org/professional-certificate/harvardx-computer-science-for-artifical-intelligence

 

3. › Machine Learning and Finance "Professional Certificate" | New York University (edx)

Expert instruction | Self-paced | 4 months.

Learn how to successfully use Classical Machine Learning techniques like Regression and Classification. Develop a strong understanding of common applications of machine learning in finance.

Link: https://www.edx.org/professional-certificate/nyux-machine-learning-and-finance

 

4. › Machine Learning with Python: A Practical Introduction | Offered by "IBM" (edx)

Free to start | Self-paced | 5 months.

This Machine Learning with Python course will give you all the tools you need to get started with supervised and unsupervised learning.

Link: https://www.edx.org/course/machine-learning-with-python-a-practical-introduct

 

All Linkedin's Machine learning & Data science Courses & Certifications

1. › Artificial Intelligence Foundations: Machine Learning (Linkedin)

8,621 members like this course | 199,661 learners | 1h 17m of content.

In this Machine Learning course, we review the definition and types of machine learning: supervised, unsupervised, and reinforcement.

Link: https://www.linkedin.com/learning/artificial-intelligence-foundations-machine-learning

 

2. › Building and Deploying Deep Learning Applications with TensorFlow (Linkedin)

3,047 members like this course | 54,111 learners | 1h 46m of content.

In this Deep Learning Applications with TensorFlow course, learn how to install TensorFlow and use it to build a simple deep learning model.

Link: https://www.linkedin.com/learning/building-and-deploying-deep-learning-applications-with-tensorflow

 

3. › Artificial Intelligence Foundations: Thinking Machines (Linkedin)

6,773 members like this course | 139,749 learners | 1h 27m of content.

This Artificial Intelligence course will introduce you to some of the key concepts behind artificial intelligence, including the differences between "strong" and "weak" AI.

Link: https://www.linkedin.com/learning/artificial-intelligence-foundations-thinking-machines

 

4. › NLP with Python for Machine Learning Essential Training (Linkedin)

7,330 members like this course | 119,660 learners | 4h 14m of content.

This Python for Machine Learning course can provide you with the knowledge you need to tackle complex problems using machine learning.

Link: https://www.linkedin.com/learning/nlp-with-python-for-machine-learning-essential-training

 

All Udacity's Machine learning NANODEGREE PROGRAM Courses

1. › Become a Machine Learning Engineer | NANODEGREE PROGRAM (Udacity)

Learn advanced machine learning techniques and algorithms -- including how to package and deploy your models to a production environment.

Link: https://www.udacity.com/course/machine-learning-engineer-nanodegree--nd009t

 

2. › Become a Machine Learning Engineer for Microsoft Azure | NANODEGREE PROGRAM (Udacity)

Strengthen your machine learning skills and build practical experience by training, validating, and evaluating models using Azure Machine Learning.

Link: https://www.udacity.com/course/machine-learning-engineer-for-microsoft-azure-nanodegree--nd00333

 

3. › Intro to Machine Learning with PyTorch (Udacity)

Learn foundational machine learning techniques -- from data manipulation to unsupervised and supervised algorithms.

Link: https://www.udacity.com/course/intro-to-machine-learning-nanodegree--nd229

 

4. › Intro to Machine Learning with TensorFlow (Udacity)

Learn foundational machine learning techniques - from data manipulation to unsupervised and supervised algorithms - Machine learning.

Link: https://www.udacity.com/course/intro-to-machine-learning-with-tensorflow-nanodegree--nd230

 

Machine learning - Best Futurelearn's Machine learning & Data science Courses with cert

1. › AI and Machine Learning Algorithms Using Python (Futurelearn)

Build your understanding of artificial intelligence with Python and machine learning principles for you to form the basis of AI.

Link: https://www.futurelearn.com/courses/cloudswyft-msft-principles-of-machine-learning-pythoned-ai

 

2. › Microsoft Future Ready: Using Python Programming to Explore the Principles of Machine Learning

Build your understanding of AI and machine learning before gaining practical experience using Python programming.

Link: https://www.futurelearn.com/courses/cloudswyft-msft-principles-of-machine-learning-pythoned-advancedai

 

3. › Apply Creative Machine Learning (Futurelearn)

4.9 (14+ ratings) | 3,025+ students | 4 weeks.

Discover the creative side of machine learning with this free course using hands-on examples Machine learning.

Link: https://www.futurelearn.com/courses/apply-creative-machine-learning

 

4. › Mathematics for Data Science: Essential Mathematics for Machine Learning and AI (Futurelearn)

Learn the mathematical foundations required to put you on your career path as a machine learning engineer or AI professional.Machine learning.

Link: https://www.futurelearn.com/courses/essential-mathematics-for-mla-et