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| Course Fee | 1,150 |
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Total Fees |
1,150 (USD) |
♱ Excluding VAT/GST
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Inclusions in Koenig's Learning Stack may vary as per policies of OEMs
Koenig Learning Stack
Free Pre-requisite TrainingJoin 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 ReportsReceive 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 RecordingsGet 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 ExtensionsExtend 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
To ensure a successful learning experience in the Appian Automation course, we recommend that prospective students have the following minimum prerequisites:
Basic Understanding of IT Concepts: Familiarity with general IT principles, such as databases, software development, and networking.
Experience with Business Process Management: Some knowledge of how business processes work and common challenges associated with manual processes.
Fundamentals of Software Automation: A basic understanding of automation tools and their applications in streamlining business operations.
Introduction to Artificial Intelligence: General awareness of AI and machine learning concepts, although no deep technical knowledge is required.
Logical and Analytical Thinking: Strong problem-solving abilities to design and implement automation processes effectively.
By meeting these prerequisites, students will be well-positioned to gain the most from the Appian Automation course and apply their knowledge to real-world scenarios.
The Appian Automation course is designed for IT professionals aiming to streamline business operations through RPA and AI, enhancing workflow efficiency and maximizing productivity.
Introduction:
The Appian Automation course is designed to equip participants with the skills to automate workflows, utilize Robotic Process Automation (RPA), integrate AI capabilities, and implement decision design objects to optimize business processes.
Learning Objectives and Outcomes:
Identify the purpose and benefits of using automation: Understand how automation can streamline processes, improve efficiency, and maximize business resources.
Identify components of the Appian Automation suite: Learn the essential tools and features within the Appian Automation suite.
Create a robotic process: Gain proficiency in designing and deploying robotic processes to automate tasks.
Create and configure AI Skills for document classification, email classification, and document extraction: Develop the capability to implement AI-driven workflows for handling documents and emails efficiently.
Create and use decision objects: Learn to build decision objects that enhance the automation process by integrating business logic.
Get started using automation: Practical introduction to leveraging automation in varied business scenarios.
Create and manage robots: Master the management of robotic entities, including their operations and security aspects.
Build, Debug, and Execute Robotic Tasks: Develop hands-on skills in creating and troubleshooting robotic tasks, ensuring seamless execution
