Agentic AI with LLMs Course Overview

Agentic AI with LLMs Course Overview

Overview of the Agentic AI with LLMs Course

The Agentic AI with LLMs course at Koenig Solutions offers participants an engaging exploration of the innovative applications of Large Language Models (LLMs) in creating intelligent agents. Throughout the course, learners will gain a solid understanding of agent-oriented programming, harnessing the power of LLMs to develop autonomous agents capable of decision-making and communication.

Learning objectives include mastering the underlying principles of LLMs, implementing practical use cases, and evaluating performance metrics. By the end of the course, students will be equipped to apply their knowledge in real-world scenarios, enhancing their skills in AI-driven solutions and paving the way for future AI advancements. Join us to elevate your expertise in this cutting-edge field!

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  • Live Training (Duration : 16 Hours)
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  • Classroom Training fee on request

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  • Live Training (Duration : 16 Hours)
  • Per Participant
  • Classroom Training fee on request

♱ Excluding VAT/GST

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

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Target Audience for Agentic AI with LLMs

Agentic AI with LLMs is a cutting-edge course designed to equip professionals with the skills to work with large language models in AI applications.


  • AI/ML Engineers
  • Data Scientists
  • Software Developers
  • Business Analysts
  • Product Managers
  • IT Professionals
  • Researchers in AI
  • Technical Project Managers
  • Digital Transformation Specialists
  • CEOs and Technology Executives
  • Educators and Trainers in IT
  • Marketing Professionals focusing on AI applications
  • Solutions Architects
  • AI Ethics Consultants
  • Startup Founders in tech-driven businesses


Learning Objectives - What you will Learn in this Agentic AI with LLMs?

Course Introduction

The Agentic AI with LLMs course equips students with essential knowledge and skills to harness large language models for developing intelligent agents, enabling them to understand and implement cutting-edge AI applications.

Learning Objectives and Outcomes

  • Understand the foundational concepts of agentic AI and large language models (LLMs).
  • Learn how to design and build intelligent agents using LLM technologies.
  • Explore the ethical considerations and societal impacts of AI deployment.
  • Gain proficiency in natural language processing techniques relevant to LLMs.
  • Develop skills in fine-tuning and optimizing LLMs for specific applications.
  • Analyze case studies of successful AI-driven projects and implementations.
  • Implement AI solutions in real-world scenarios using practical LLM techniques.
  • Evaluate the performance of AI models and make data-driven improvements.
  • Collaborate effectively in teams to solve complex AI challenges.
  • Stay updated on the latest trends and advancements in AI and LLM research.

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