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’ll learn
- How to work with various components of AI Agents on our platform
- How to use our framework for fast and effective development of new AI Agents
- How to operate with ML models and customize them
- How to create ML models using the key component of Work.AI Platform — AutoML
Your Automation Journey includes 7 courses:
Get to Know Work.AI
This comprehensive guide provides a detailed overview of the platform’s capabilities
Start with Work.AI
Gives you basic knowledge of how Work.AI Platform 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 Engineer Exam
Complete and submit a final assignment, to be graded by our trainers. Your certificate as a Machine Learning Engineer will be issued automatically
