7 Best Certifications for Machine Learning You Must Know in 2024

Are you looking for the Best Certifications for Machine Learning? If yes, this article is for you. In this article, I listed the 7 Best Certifications for Machine Learning. So, give a few minutes to this article and find the Best Certifications for Machine Learning for you.

Now without further ado, let’s get started-

Best Certifications for Machine Learning

1. AWS Machine Learning Engineer– Udacity

Rating-	4.7/5
Time to Complete-	5 months

In this Nanodegree Program, there are 4 courses and 5 Projects. The whole Nanodegree program is full of quizzes and projects. After each lesson, there is one project, which you have to finish.

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 with a 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. Machine Learning Specialization– Coursera

Rating-	4.9/5
Time to Complete-	3 months(If you spend 9 hours/week)

In this specialization program, there are 3 courses. In the first course, you will learn machine learning basics such as supervised learning, unsupervised learning, regression, and classification.

In the second course, you will learn about neural networks, how to train your model in TensorFlow, and the practical and very commonly used learning algorithm the decision tree.

In the last course, you will learn unsupervised learning algorithms such as clustering and anomaly detection, Recommender systems, and Reinforcement learning.

Extra Benefits-

• You will get a Shareable Certificate. Along with that, you will learn various case studies and applications. That will teach you how to apply machine learning algorithms to building smart robots.
• You will also learn text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and others.

Who Should Enroll?

• This Course is Most Suitable for Complete Beginners. But people with a basic understanding of ML can also enroll.

Interested to Enroll?

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

3. Machine Learning Scientist with Python– DataCamp

Rating-	NA
Time to Complete-	93 hours

This is a career track offered by Datacamp. There are 23 courses in this career track and begin with supervised learning with scikit learn. In this course, you will learn supervised, unsupervised, and deep learning.

Along with this, you will learn natural language processing, image processing, and libraries such as Spark and Keras.

In this career track, you will also learn how to approach and win Kaggle competitions.

Who Should Enroll?

• Those who are a beginner in Machine learning and looking for step-by-step career guidance.

Interested to Enroll?

If yes, then check out the course details here- Machine Learning Scientist with Python

4. Intro to Machine Learning with TensorFlow– Udacity

Rating-	4.7/5
Time to Complete-	3 months (if you spend 10 hrs/week)

This is a Nano-Degree Program. There are 3 courses in this program. In the first course, you will learn supervised learning and the algorithms of supervised learning such as Regression, Perceptron Algorithm, Decision Trees, Naive Bayes, SVM, etc. Along with the supervised algorithms, you will also understand the training and testing procedure and data visualization basics.

In the next course, you will understand neural network basics and learn how to implement gradient descent and backpropagation in Python.

The last course is all about unsupervised learning and covers the K-means algorithm, Single Linkage Clustering, Gaussian Mixture Models, etc.

All three courses have one project. Along with the projects, there are quizzes and practice sets throughout the program.

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 Career services.

Who Should Enroll?

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

Interested to Enroll?

If yes, then check out the course details here- Intro to Machine Learning with TensorFlow

5. Applied Machine Learning in Python– Coursera

Rating-	4.6/5
Time to Complete-	34 hours

This is another machine learning course with Python. This course has a 4-week study plan. In the first week, you will learn machine learning basics such as tools used in Python for machine learning, K-Nearest Neighbors Classification, etc.

Next, you will learn supervised machine-learning algorithms and understand Overfitting and Underfitting, K-Nearest Neighbors, Linear Regression, Logistic Regression, Support Vector Machines, Cross-Validation, and Decision Trees.

Model evaluation is the essential step in machine learning and you will understand Confusion Matrices & Basic Evaluation Metrics, Precision-recall and ROC curves, Multi-Class Evaluation, etc.

The last part of this course covers some advanced concepts of supervised learning such as Naive Bayes Classifiers, Random Forest, Gradient Boosted Decision Trees, Neural Networks, Dimensionality Reduction, and Manifold Learning.

Extra Benefits-

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

Who Should Enroll?

• Those who have previous knowledge in Data Visualization using Python.

Interested to Enroll?

If yes, then check it out here– Applied Machine Learning in Python

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

Rating-	4.6/5
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.

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

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

Rating-	4.6/5
Time to Complete-	14.5 hours

This is another Python-oriented course for machine learning. In this course, first, you will learn statistics and probability basics. Next, you will learn machine learning algorithms such as K-Means Clustering, Decision Tress, SVM, etc.

The course also covers dimensionality reduction techniques, bias/variance tradeoffs, feature engineering, Apache Spark, Deep Learning, Neural Networks, and Generative models.

If you are a beginner in Python, then you will learn Python basics too. 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 have 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. I hope these Best Certifications for Machine Learning will help you. I would suggest you bookmark this article for future referrals. Now it’s time to wrap up these Best Certifications for Machine Learning.

Conclusion

In this article, I tried to cover the 7 Best Certifications for Machine Learning. 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