Create AI Agents Using LangGraph Course Overview

Create AI Agents Using LangGraph Course Overview

Unlock the potential of AI agents with our comprehensive course on Create AI Agents Using LangGraph. This course is designed to equip you with essential skills to develop interactive and intelligent agents effectively. You'll learn to harness LangGraph's powerful tools to create user-friendly AI solutions that can enhance productivity across various industries.

Learning objectives include understanding the fundamentals of AI agent design, mastering the LangGraph interface, and implementing real-world applications. By the end of this course, you’ll be able to build AI agents that can handle complex tasks, making you a valuable asset in the tech field. Immerse yourself in the future of technology and elevate your career!

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850

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Course Fee 850
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850 (USD)
  • Live Training (Duration : 16 Hours)
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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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Course Advisor

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Simmi Anand

9+ Years Experience

I am Simmi Anand, a Microsoft Certified Trainer, and UiPath Certified Advanced RPA Developer with over 12 years of rich experience in corporate training and the IT sector. I have been working with Koenig Solutions for the past 8+ years, providing quality training on technologies related to Development, Automation and Testing using various Languages (e.g., Python, Java) and Tools e.g., Robotic Process Automation using UiPath and Automation Anywhere. In addition, I also deliver training on Microsoft and Google technologies, including Mobile Application Development for Android, iOS with Swift, Hybrid Mobile Application using PhoneGap, Microsoft SQL Server, Microsoft PowerApps & Flow, Power Platform and PostgreSQL to global and corporate clients.   One reason I enjoy this field and the challenges that come with it is the opportunity to connect with people and solve their IT needs. I am also passionate about learning technologies and gaining solid knowledge about them. I have conducted various onsite training assignments globally with esteemed clients such as Microsoft - India, KPMG, Raw Bank - DRC, FRCI - Mauritius, Google Train the Trainer Project, Infosys, TCS, Wipro, and many others. Associated with Koenig since February-2016.

Course Prerequisites

Prerequisites for the Create AI Agents Using LangGraph Course

To ensure a successful learning experience in the Create AI Agents Using LangGraph course, we recommend the following minimum prerequisites:


  • Basic Programming Knowledge: Familiarity with programming concepts and languages such as Python will help you grasp the course content more effectively.


  • Understanding of AI Concepts: A foundational knowledge of artificial intelligence and machine learning principles will be beneficial.


  • Familiarity with APIs: Basic understanding of how APIs work, as this will be relevant when integrating AI agents into applications.


  • Eagerness to Learn: A willingness to engage with the content and a desire to explore the exciting field of AI agent development.


These prerequisites are designed to help you get the most out of the training, but don't worry if you're new to some of these areas—our instructors will guide you through the learning process!


Target Audience for Create AI Agents Using LangGraph

Create AI Agents Using LangGraph is a cutting-edge course designed for individuals looking to develop AI-driven applications using the LangGraph framework, catering to a diverse range of professionals.


  • AI/ML Engineers
  • Data Scientists
  • Software Developers
  • Product Managers
  • Technical Architects
  • Business Analysts
  • UX/UI Designers
  • IT Project Managers
  • Researchers in AI and Automation
  • Students in Computer Science and Related Fields


Learning Objectives - What you will Learn in this Create AI Agents Using LangGraph?

Course Introduction

The "Create AI Agents Using LangGraph" course equips students with essential skills to design, develop, and implement AI agents, emphasizing practical applications and hands-on experience with LangGraph.

Learning Objectives and Outcomes

  • Understand the fundamentals of AI agents and their architectures.
  • Learn how to utilize LangGraph for crafting intelligent agents.
  • Develop problem-solving skills using AI-driven methods.
  • Explore various use cases for AI agents in real-world scenarios.
  • Gain proficiency in integrating APIs with LangGraph.
  • Master the techniques for training AI agents effectively.
  • Analyze and optimize the performance of created agents.
  • Build interactive applications powered by AI agents.
  • Collaborate on projects to enhance teamwork and communication skills.
  • Receive feedback and guidance from industry experts throughout the course.

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