Machine Learning and Deep Leaning are subsets a of Artificial Intelligence. As per a report by Gartner, demand for Artificial Intelligence professionals will jump by 38% by 2020. There is lots of excitement in the tech community to learn Machine Learning, but at the same time, there is a confusion on the courses one needs to take to become job ready. With this article, we have created a curated list of courses that will help you develop industry ready Deep Learning skills.
Courses are organized in following three categories
Here are the Top 3 Courses handpicked by our experts
|Learn Machine Learning||Katie Malone||Free||Learn More|
|Machine Learning A-Z||SuperDataScience||Learn More|
|Machine Learning Specialization||MicroUniversity of Washington||$49||Learn More|
Below is complete list of top Machine Learning courses in order of ranking
Instructors: Katie Malone, Sebastian Thrun
Learn Machine Learning is a set of five courses that provide learner basic to advanced Machine learning material. It takes 10 weeks to complete the entire training material.
This self-placed training offers rich learning content along with interactive quizzes. It is one of the best ML courses that covers topics like Introduction to Machine learning, Introduction to Descriptive Statistics, Introduction to Data Science, Unsupervised Learning, Reinforcement Learning, Deep learning.
Offered by: SuperDataScience Team
Instructors: Kirill Eremenko, Hadelin de Ponteves
It is one of the best Machine Learning course that helps students to create Machine Learning Algorithms in Python, and R. This Machine Learning online course consists of ten different sections.
It covers topics like Data processing, Regression, classification, clustering, Association Rule Learning, Natural Language Processing, Deep Learning, Dimensionality Reduction, etc.
The course includes 40.5 hours on-demand video, 19 Articles, two supplemental resources, and allows free access to mobile & TV. A certificate is provided after successful completion of the course.
Course Link: https://www.udemy.com/machinelearning/
Offered by: University of Washington
Instructors: Emily Fox, Carlos Guestrin
This is a collection of five Intermediate level courses which helps students to specialize in Machine learning. It is one of the best course for Machine Learning training which provides case studies which help the learner to gain practical experience in major areas of Machine Learning like Prediction, Classification, Clustering, and Information Retrieval.
Learners need to spend 25 weeks ‘time with daily work effort of 5-8 hours for each course.
Offered by: Microsoft
Instructors: Graeme Malcolm, Steve Elston, Cynthia Rudin
Price: Free + 99 for a certificate
This Machine Learning certification course is part of the Microsoft Professional Program Certificate in Data Science. In this training, the student will learn machine learning theory as well as practical scenarios. The course develops practical experience of building, validating, and deploying machine learning models.
This six weeks Intermediate course needs a learning effort of 3 to 4 hours per week. The course covers topic like Regression in machine learning, how to Improve Supervised Models, non-linear modelling, Clustering, and Recommender systems. The learner can also get verified certificate by just spending USD 99.
Offered by: Higher School of Economics
Instructors: Pavel Shvechikov, Anna Kozlova, Evgeny Sokolov
It is a collection of seven advanced machine learning specialization courses. A total of 35 weeks is needed to complete all the courses with 6-8 hours average learning effort per week.
It is one of the best Machine Learning courses that covers topics like Introduction to Deep Learning, How to Win a Data Science Competition – Learn from Top Kagglers, Bayesian Methods for Machine Learning, Practical Reinforcement Learning, Deep Learning in Computer Vision, Natural Language Processing and Addressing Large Hadron Collider Challenges by Machine Learning.
After the end of the course, learners get a certificate to highlight their newly acquired skill on their resume.
Course Link: https://www.coursera.org/specializations/aml
Other Machine Learning Courses worth a mention
- Python for Data Science and Machine Learning Bootcamp
- Scala and Spark for Big Data and Machine Learning
- Data Science, Deep Learning, & Machine Learning with Python
- Data Science and Machine Learning Bootcamp with R
- Machine Learning(By Georgia Tech)
- Machine Learning(By Columbia University)
- Robotics: Vision Intelligence and Machine Learning
Here are the Top 2 Courses handpicked by our experts
|Complete Guide to TensorFlow for Deep Learning with Python||Jose Portilla||$195||Learn More|
|Deep Learning Specialization||Nvidia||Free||Learn More|
Below is complete list of courses in Deep Learning in order of ranking
Instructors: Jose Portilla
This course will help a learner use Google’s TensorFlow framework to create artificial neural networks for deep learning. The course offers a balance of theory and practical implementation. It includes complete Jupiter notebook guides with code as well as reference slides and notes.
This learning material is ideal for Python student who is eager to learn the Deep Leaning Techniques in TensorFlow. The course offers 14 hours on-demand video, 6 Articles, access on mobile and TV. The learner will get a certificate after successful course completion.
Offered by: Deep Learning
Instructors: Andrew Ng, Younes Bensouda Mourri, Kian Katanforoosh
This is a collection of five courses that needs 13 weeks to complete, with a daily work effort of 4-6 hours by the student.
It covers course topics like Neural Networks, Deep Learning, Improving Deep Neural Networks: Hyperparameter tuning, Regularization & Optimization, Structuring Machine Learning Projects, etc.
At the end of this course, learners will get complete understanding and guidance in building a career in AI technology.
- Zero to Deep Learning™ with Python and Keras
- Deep Learning and Computer Vision A-Z™: OpenCV, SSD & GANs
- Deep Learning A-Z™: Hands-On Artificial Neural Networks
- Natural Language Processing with Deep Learning in Python
Here are the Top 3 Courses handpicked by our experts
|Artificial Intelligence A-Z™: Learn How To Build An AI||SuperDataScience||Learn More|
|Artificial Intelligence||Johns Hopkins University||$946||Learn More|
|Artificial Intelligence Nanodegree||IBM||$900||Learn More|
Below is complete list of courses in AI in order of ranking
Offered by: SuperDataScience Team
Instructors: Hadelin de Ponteves, Kirill Eremenko
It is one of the best Artificial Intelligence course which offers complete beginner to expert AI skills, code templates, intuitive tutorials, real-world solutions and in-course support.
This course covers topic like build an AI, merge AI with OpenAi Gym, make a virtual self-Driving Car, Solve Real word problem with AI, Q-Learning, Deep Convolutional Q-Learning, optimize your AI, etc.
The course also offers 17 hours on-demand video, 15 articles + seven supplemental resources for learning. The learn will also get a certificate after the successful course completion.
Course Link: https://www.udemy.com/artificial-intelligence-az/
Instructors: Ansaf Salleb-Aouissi, John W. Paisley, Matei Ciocarlie and Eitan Grinspun
Price: Free + $946 for a credential
This is a collection of best AI and ML courses to learn about the various techniques used by Data Scientist. It is one of the best AI courses that covers topics like Artificial Intelligence, Machine Learning, Robotics, Animator, and CGI Motion. To complete each course, a student needs to spend 12 weeks per course. Each of this machine learning course needs 8-10 hours of learning efforts from the learner.
The student can also get Micro master credential to earn a Verified Certificate in all four courses. The learner who earns this certificate will become eligible to apply for Master of Computer Science program at Columbia University.
Offered by: IBM Watson
Instructors: Sebastian Thrun, Peter Norvig, Thad Starner
This is an advanced level Machine Learning course. It consists of two terms of three months each. The learner needs to complete both terms to achieve their credential.
This course requires basic knowledge of linear algebra as well as calculus and should able to apply basic probability and statistics. The course requires building three projects-
- Build a Game Playing Agent,
- Implement a Planning Search
- Design a Sign Language Recognition System.
At the completion of the course learner will able to get Nanodegree Program Artificial Intelligence certificate.