Machine Learning Engineer
Enable your team to implement Machine Learning use cases.
About this learning path
The Machine Learning Engineer is one of most technically skilled roles. ML Engineer can automate at scale and deliver a continuously improving process into production with WorkFusion's AutoML.
What you'll learn
Who is this path for
The path is created for technical experts who try to keep up with the trends and acquire new skills in machine learning, which is a foundation for WorkFusion’s Intelligent Automation Cloud.
Flexible & 100% online path
Start instantly and learn at your own schedule.
Approx 3 weeks to complete
The path includes self-guided materials and trainer's support.
Learning path content
The learning path contains interactive modules with videos and knowledge checks, examples and practice assignments. It consists of the following 6 courses:
Mastering the Business Process
Learn advanced WorkFusion implementation techniques and how to convert business requirements into a WorkFusion business process architecture.
Focus on developing Bot Tasks, which contain the work assignments for WorkFusion software robots.
Machine Learning Basics
Learn the basics of Cognitive Automation and what is WorkFusion's approach to solving cognitive use cases.
Machine Learning Automation
Discover how to solve cognitive automation tasks using WorkFusion's AutoML.
Get a guide to advanced techniques of using WorkFusion AutoML SDK component.
ML Engineer Certification
Deliver an actual PoC use case during certification assignment.
Why to learn
Forward-thinking companies choose WorkFusion’s Intelligent Automation Cloud to reduce their cost, upgrade customer experience and gain a competitive edge. Upskill your entire team with advanced Automation Academy training and join other companies in their transition to more meaningful work.