Machine Learning Engineer
Build Digital Workers with Intelligent Automation capabilities to automate document-heavy workflows
ML Engineer’s journey
The ML Engineer is one of the most technically skilled roles, central to Intelligent Automation as it helps handle IDP. The background includes a variety of completed end-to-end Java-based projects. The ML Engineer delivers a model that handles unstructured or semi-structured document data, and leads the implementation of ML improvements and re-training
What you will learn
Flexible & 100% online
Start instantly and learn at your own schedule
Completion time: approximately 79 hours
Self-guided materials and trainer support assets are included
Your Automation Journey includes 7 courses:
Get to Know Intelligent Automation Cloud
This comprehensive guide provides a detailed overview of the platform’s capabilities
Work with Intelligent Automation Cloud
Gives you basic knowledge of how Intelligent Automation Cloud works, applications it includes, services it uses, and business needs it solves
Development Standards
Practice our approach to the design and delivery of complex automation solutions, and standardizing and repeating processes
Building Human-in-the-Loop
This course helps citizen developers to gain technical expertise of the new Manual Task Builder
Using ML Models
Start performing model training on production systems to substitute time-consuming manual work in document processing
Building ML Models
Learn full-stack techniques for using the best of AutoML SDK
Machine Learning Certification
Complete and submit a final assignment, to be graded by our trainers. Your certificate as a Machine Learning Engineer will be issued automatically
Why enroll?
Having completed all 7 courses, you will be able to use ML models to implement machine learning solutions end-to-end, starting from quality data set preparation to your own fully adopted automation solution
What’s included
Learning materials
