There's a lot to learn and to stay on top of in the rapidly exapnding universe of AI and machine learning. This learning path offers a healthy range of course to augment your existing skillsets related to AI, ML, and data science. Use this learning path to skill-up and boost your resume!
Master the machine learning features of cloud IaaS/SaaS/PaaS products AWS and Google Cloud Platform
Develop mastery of statistics software Mathematica's Machine Learning features
AWS Machine Learning by Example with Jonathan Fernandes
Take a deeper dive into machine learning with Amazon Web Services (AWS). Learn how to approach common machine learning tasks using key techniques.
1h 23m • COURSE
Mathematica 11 Machine Learning with Curt Frye
Get started with machine learning in Mathematica 11. Learn how to separate training data from test data, prepare data for machine learning, perform supervised machine learning tasks, and more.
1h 15m • COURSE
Spark for Machine Learning & AI with Dan Sullivan
Discover how to work with the powerful Apache Spark platform for machine learning. Learn about preprocessing data, applying algorithms to a variety of machine learning problems, and more.
1h 51m • COURSE
Amazon Web Services Machine Learning Essential Training with Lynn Langit
Learn about patterns, services, processes, and best practices for designing and implementing machine learning using Amazon Web Services.
3h 7m • COURSE
Google Cloud Platform for Machine Learning Essential Training with Lynn Langit
Learn how to design machine learning solutions with Google Cloud Platform. Review services such as AutoML, CloudML Engine, and the GCP machine learning APIs.
2h 57m • COURSE
Machine Learning for Marketing: Essential Training with Chris DallaVilla
Learn how to use machine learning to automate and improve your marketing campaigns, including customer engagement and account-based marketing.
55m 54s • COURSE
You'll advance your AI and machine learning tools skills with these experts
Jonathan Fernandes works for a consultancy and primarily focuses on data science, AI, and big data.Jonathan enjoys his work, as it combines his love of numbers, coding, and statistics. Jonathan has an undergraduate degree in computer science, and an MBA from the University of Warwick.
Curt Frye is the president of Technology and Society, Incorporated.He is the author of more than 40 books, including Microsoft Excel 2019 Step by Step for Microsoft Press, and has created and recorded more than 60 courses for Lynda.com and LinkedIn Learning. As a speaker, he has presented talks on topics including "Rhetorical Mathematics" for CLE credit at the Law and Magic conference, "Business Storytelling Using Microsoft Excel" at the ATD-Cascadia annual conference, and his Improspectives® approach to applying the techniques of improv theater to business and life for numerous audiences. As a performer, he has appeared in over 1,300 improv comedy shows with ComedySportz Portland and presents his Magic of the Mind show to theatrical and corporate audiences.Curt earned his BA in political science from Syracuse University and his MBA from the University of Illinois.
Dan Sullivan, PhD, is an enterprise architect and big data expert.
Dan specializes in data architecture, analytics, data mining, statistics, data modeling, big data, and cloud computing. In addition, he holds a PhD in genetics, bioinformatics, and computational biology. Dan works regularly with Spark, Oracle, NoSQL, MongoDB, Redis, R, and Python. He has extensive writing experience in topics including cloud computing, big data, Hadoop, and security.
Lynn Langit is a cloud architect who works with Amazon Web Services and Google Cloud Platform.
Lynn specializes in big data projects. She has worked with AWS Athena, Aurora, Redshift, Kinesis, and the IoT. She has also done production work with Databricks for Apache Spark and Google Cloud Dataproc, Bigtable, BigQuery, and Cloud Spanner.
Lynn is also the cofounder of Teaching Kids Programming. She has spoken on data and cloud technologies in North and South America, Europe, Africa, Asia, and Australia.
Chris DallaVilla is the founder and CEO of VALID, an independent marketing consulting practice.
VALID specializes in providing data-driven solutions that help chief marketing officers and their teams strengthen their planning and execution, and drive results. Chris has expertise in digital and social media marketing, as well as certifications in Agile, Google AdWords, and Google Analytics. He studied computer science at Harvard University, design technology at Massachusetts College of Art and Design, and advertising and marketing communications at the Questrom School of Business at Boston University.