Intelligent Automation 101 – Face-to-Face
$1,195.00
Foundation course for understanding and applying Hyperautomation technologies, platforms, techniques, and best practices. Learn how to balance the advantages of Automation with potential risks.
Course Date | Standard Rate | Buy Before | Your Rate | Savings |
---|---|---|---|---|
Nov 18 '24 | $1,195.00 | — | $1,195.00 | $0.00 |
Foundation course for understanding and applying Hyperautomation technologies, platforms, techniques, and best practices. Learn how to balance the advantages of Automation with potential risks.
This is an introductory but comprehensive course on Intelligent Automation. The focus is on Hyperautomation for enterprises to understand the transformative potential of Intelligent Automation and create a pragmatic roadmap for Automation best practices. Intelligent Automation is a significant milestone in the evolution of Business Process Management. The course will illustrate how Process Mining can be followed with Intelligent Automation through software robots and process automation. Intelligent Automation can reduce the most mundane tasks and is undoubtedly being used for this purpose. More surprisingly, it is even being used for some not-so-mundane cognitive tasks. Intelligent Automation is a mega-trend: due to digitization and intelligent Automation, one-third of workers will need to learn new skills by 2030. All industry sectors are impacted. The course will survey all the key Intelligent Automation platform categories and technologies: Robotic Process Automation, Intelligent & Virtual Assistants, and Automation of Cognitive work. The course will also cover methodologies, tools, and best practices for upskilling and reskilling for Automation: especially in the context of Intelligent Automation Competency Centers. This Intelligent Automation course will provide a necessary foundation for your Digital Transformation journey: highlighting the automation challenges but most importantly elucidating the opportunities.
Outline:
- Introduction to Hyperautomation
- Cultural Transformation with Intelligent Automation
- Robotic Process Automation: Tools and Platforms
- Intelligent Virtual Assistants: Tools and Techniques
- Process Intelligence, Process Mining to Automation
- Integration Workflow Automation: Tools and Platforms
- Automating Cognitive Work
- Machine Learning, NLP, OCR, Form Recognition and other AI Trends for Automation
- Digital Process Automation (aka Intelligent BPM): Tools and Platforms
- Digital Transformation with Intelligent Automation
- Upskilling and Re-Skilling for Intelligent Automation
- Intelligent Automation Competency Centers
- Understand What exactly is Hyperautomation and why should you care
- Understand the various “Intelligent” AI technologies – ML, Intelligent Assistants, NLP, OCR, etc.
- Learn how to implement Process & Data Mining insights to Intelligent Automation actions
- Understand and prioritize for the various “Automation” tools and platforms – RPA, Digital Process Automation, etc.
- Learn how to change the Culture through UpSkilling and ReSkilling the workforce
- Learn how to create a pragmatic Intelligent Automation Competency Center
There is a lot of hype surrounding Hyperautomation and Intelligent Automation in general. Yes, it is of the most critical Digital Transformation trends. This course provides a deep yet pragmatic analysis of Intelligent Automation. Business Leaders, Executives, and Professionals will be equipped with a 360o view of the best tools and practices to reskill, upskill and succeed in their Intelligent Automation journeys.
- Chief Information Officer
- Chief Innovation Officer
- Chief Operations Officer (COO – or equivalent)
- Chief Marketing Officer
- Chief Automation Officer
- Chief Digital Transformation Officer
- Operational Excellence Business Leaders: Lean Six Sigma Black Belts
- VP of Customer Service
- VP of Compliance
- Chief Human Resources Manager
- Chief Technology Officer
- VP of Development
- VP of Product Management
- VP of Professional Services
- VP of Enterprise Architecture
- VP of Process and Data Science