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Automic Workload Automation Engine Administration V21 Course Overview

Automic Workload Automation Engine Administration V21 Course Overview

The Automic Workload Automation Engine Administration V21 course is designed to equip participants with the skills needed to effectively manage and administer the Automic Workload Automation platform. Key learning objectives include mastering job scheduling, monitoring workflows, and optimizing resource utilization. Participants will also gain hands-on experience in configuring the automation engine, enhancing their ability to troubleshoot common issues and manage job priorities. This course emphasizes practical application, allowing learners to implement them in real-world scenarios. By the end of the course, attendees will be proficient in leveraging Automic to streamline operations and drive business efficiency. Enhance your IT career with this essential training for automation success!

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  • Live Training (Duration : 16 Hours)
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Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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Target Audience for Automic Workload Automation Engine Administration V21

The Automic Workload Automation Engine Administration V21 course equips IT professionals with essential skills for managing and automating workload processes, targeting those in various technical roles.


  • System Administrators
  • IT Operations Managers
  • DevOps Engineers
  • Automation Engineers
  • Database Administrators
  • Cloud Engineers
  • Application Support Analysts
  • Business Process Analysts
  • IT Solutions Architects
  • Software Developers
  • Technical Support Engineers
  • CIOs and IT Managers
  • Project Managers
  • Network Engineers
  • Data Analysts


Learning Objectives - What you will Learn in this Automic Workload Automation Engine Administration V21?

Course Introduction

The Automic Workload Automation Engine Administration V21 course equips students with essential skills to manage and optimize workload automation processes, covering key functionalities and best practices for effective administration.

Learning Objectives and Outcomes

  • Understand the architecture and components of the Automic Workload Automation Engine.
  • Configure and manage the Workload Automation environment.
  • Create and schedule jobs effectively within the system.
  • Monitor and troubleshoot job execution and system performance.
  • Implement alerting and notification mechanisms for operational efficiency.
  • Utilize scripting to customize automation processes.
  • Manage user access and security settings for the Workload Automation Engine.
  • Perform backups and recovery procedures to safeguard automation configurations.
  • Analyze workload performance data to enhance operational decisions.
  • Explore best practices for optimizing automation workflows and resources.

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