Learn WorkFusion RPA (with ML) in just 15 Days

Learn WorkFusion RPA (with ML) in just 15 Days 

In this Instructor-led online Live session, you will learn about entire WorkFusion tool along with AI-driven automation and  4 Real time projects which will make you a Workfusion expert  

Who should attend this course?
•  RPA Experts
•  End Users
•  Analytics Professionals
•  Any graduate is interested in the specific field

Course Objectives : 
Learners can become Workfusion experts and deliver projects single-handedly .
To make learners understand the necessity of the automation plan, market, challenges as well as its execution.
To make learners familiar with the  Application Development Automation and its working mechanism with machine learning concepts 

 
WorkFusion RPA Course Outline (Total Duration: 15 Days) 

 Day 1: Introduction to WorkFusion – Details about RPA using WorkFusion, Learning Path, RPA Express Environment – Control Tower, Platform Monitor, S3 File Storage, WF Studio, WF Recorder Manual Tasks – How to create and manage Manual Tasks in CT, Applications of Manual Tasks. 

 Day 2: Business Process – BP creation, Data Flow, UI, input/output etc. Business Process Flow – Split, Merge, Route, Sub-processes, Scheduling BPs 

 Day 3: Working with S3 + ETL Form OCR 

 Day 4: Development in WF Studio RPA Recorder – I (Basic tasks, Web/Desktop automation) 

 Day 5: RPA Recorder – II (Complex tasks, Web/Desktop automation) Web-harvest components – I (Code Structure, Data Flow) 

 Day 6: Web-harvest components – II (Data, Files) Web-harvest components – III (API, Emails, Misc) 

 Day 7: Working with DataStores, Groovy scripting in Bot Tasks Web Automation – I 

 Day 8: Web Automaton – II  Desktop Automation RPA Infrastructure 

 Day 9: ML Basics - DA/MLE Responsibilities, Types of ML, Model Evaluation, Training Set 

 Day 10-11: ML Data Analyst - DA Workflow,  Input Documents characteristics, OCR Analysis, Manual Task Design, Training SMEs, Sources of error in data 

 Day 12-14: ML Engineer - Model Training, Result analysis, Monitoring & Troubleshooting, AutoML Cluster Infrastructure  OR  AutoML SDK - Setup, Understanding SDK structure, Tokens, Annotators, Feature Extractors, Training, Evaluation 

 Day 15:    Revision, Doubt clearing session, future prospects, Sample use-cases 

For any further queries , feel free to contact us at info@consultkpi.com or reach us at 080 41714080