These are the Machine Learning courses that allow for you to get a certificate after completion of the course. Great for those that are looking to improve their credentials in a certain topic, whether for a current employer or because you are considering a new job position in the future. The platforms we feature here do work differently when it comes to certificates. Be sure to check the quality on the original platform as well as how they are handed out.
For those with a lot of experience in machine learning and that are looking to gear up to another level, this course is great. You will learn Supervised, Unsupervised, Reinforcement, and Deep Learning. The program also includes a capstone project that functions as a great addition to your portfolio.
Probably the highest acclaimed course on the internet in regards to Deep Learning. Deep learning is the driver of most machine learning and AI implementations that we see happening in the world. A student that enrolls in this course will build and apply their own neural networks to tackle challenges put forth by the course creators. For anybody that wants to step into the world of AI, this is a great starting point. More information
Students will be working on machine learning models, data pipelines, recommendation systems, and deploy solutions to the cloud. You will be working on actual, real-world projects that are created by industry experts. After finishing this course, you will be one of the few data scientists that are in high demand.
Learn how dynamic programming and Hidden Markov Models can be used to compare genetic strings and uncover evolution.
Master the essentials of machine learning and algorithms to help improve learning from data without human intervention.
Learn the fundamentals of Artificial Intelligence (AI), and apply them. Design intelligent agents to solve real-world problems including, search, games, machine learning, logic, and constraint satisfaction problems. More information
Learn how to design robot vision systems that avoid collisions, safely work with humans and understand their environment. More information
Learn the principles of machine learning and the importance of algorithms. More information
Learn how to use machine learning, with a focus on regression and classification, to automatically identify patterns in your data and make better predictions.