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Workshop on Agentic AI Systems Course Overview

Workshop on Agentic AI Systems Course Overview

The Workshop on Agentic AI Systems is designed to empower participants with a comprehensive understanding of autonomous AI technologies. Throughout this course, learners will explore essential topics such as machine learning, responsible AI design, and the ethical implications of AI systems.

The learning objectives focus on equipping students with the skills to develop and implement agentic AI solutions effectively. By the end of the workshop, participants will be able to apply their knowledge to real-world scenarios, enhancing their ability to craft intelligent systems that operate independently while adhering to ethical standards. Join us to unlock the potential of AI in your projects!

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  • Live Training (Duration : 40 Hours)
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Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

  • Live Training (Duration : 40 Hours)
Koeing Learning Stack

Koenig Learning Stack

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 Workshop on Agentic AI Systems

Introduction:
The Workshop on Agentic AI Systems equips professionals with the skills to understand and implement advanced AI technologies, catering to diverse sectors needing AI integration.


Target Audience/Job Roles:


  • AI and Machine Learning Engineers
  • Data Scientists
  • Software Developers
  • IT Managers
  • Product Managers
  • Business Analysts
  • UX/UI Designers
  • Digital Transformation Leaders
  • Cybersecurity Analysts
  • Compliance Officers
  • Research Scientists
  • Technical Project Managers
  • Entrepreneurs in Tech Startups
  • Academic Researchers
  • Government Policy Makers
  • Statisticians


Learning Objectives - What you will Learn in this Workshop on Agentic AI Systems?

Introduction:
The Workshop on Agentic AI Systems equips learners with essential knowledge and skills to design, implement, and evaluate autonomous AI systems, focusing on their capabilities and ethical considerations in real-world applications.

Learning Objectives and Outcomes:

  • Understand core concepts of agentic AI systems and their functionalities.
  • Analyze the components and architecture of autonomous AI frameworks.
  • Explore ethical implications and societal impact of agentic AI.
  • Design practical solutions leveraging agentic AI technologies.
  • Evaluate the performance and effectiveness of AI agents.
  • Implement user-friendly interfaces for interaction with AI systems.
  • Assess risk management strategies associated with AI autonomy.
  • Develop critical thinking skills to address challenges in AI deployment.
  • Collaborate on projects involving agentic AI systems in diverse sectors.
  • Stay updated with emerging trends and advancements in AI technology.

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