Building AI Agents with LLMs Course Overview

Unlock the potential of Artificial Intelligence with our course on Building AI Agents with LLMs. This course is tailored to teach you how to leverage Large Language Models (LLMs) to create intelligent agents capable of understanding and generating human-like text. You will learn key concepts such as natural language processing, contextual understanding, and the design of interactive AI systems. By the end of the course, you will be equipped to apply your knowledge in practical scenarios, enabling you to build AI solutions that enhance user experiences in various applications. Join us to embark on a journey into the exciting world of AI development!

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Course Fee	2,150
Total Fees	2,150 (USD)

USD

1,700^♱

View Fees Breakdown

Course Fee	1,700
Total Fees	1,700 (USD)

USD

^♱

View Fees Breakdown

Flexi Video	16,449
Official E-coursebook
Exam Voucher (optional)
Hands-On-Labs²	4,159
+ GST 18%	4,259
Total Fees (without exam & Labs)	22,359 (INR)
Total Fees (with Labs)	28,359 (INR)

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Live Training (Duration : 40 Hours)
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8 Hours

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Live Training (Duration : 40 Hours)
Per Participant
Classroom Training fee on request

Koeing Learning Stack

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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

Happiness Guaranteed

Target Audience for Building AI Agents with LLMs

Building AI Agents with LLMs is a specialized course designed to equip professionals with the skills to develop intelligent agents using large language models, enhancing their AI proficiency and practical applications.

Data Scientists

Machine Learning Engineers

AI Researchers

Software Developers

Product Managers

IT Consultants

Technical Project Managers

Business Analysts

Blockchain Developers

Software Quality Assurance Engineers

Digital Transformation Specialists

Educational Professionals in AI/ML

Cybersecurity Analysts

Entrepreneurs in AI-driven startups

AI Enthusiasts and Hobbyists

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

The "Building AI Agents with LLMs" course equips students with the skills to create innovative AI agents using large language models, focusing on practical applications and foundational concepts in AI agent development.

Learning Objectives and Outcomes:

Understand the fundamentals of large language models (LLMs) and their architecture.
Explore various applications of AI agents in real-world scenarios.
Gain proficiency in designing conversational agents.
Learn to implement task-oriented AI agents using LLMs.
Develop skills in integrating LLMs with APIs and existing software.
Analyze ethical considerations in AI agent deployment.
Apply techniques for fine-tuning models to cater to specific tasks.
Evaluate the performance of AI agents through testing and metrics.
Collaborate on projects to build functional AI agent solutions.
Enhance problem-solving skills using advanced AI techniques.

Building AI Agents with LLMs Course Overview

2,150^♱

1,700^♱

^♱

Fee On Request