Unlock the potential of autonomous AI agents with LangGraph in this comprehensive course. Designed for developers and AI enthusiasts, you’ll learn to build intelligent, adaptive agents capable of processing complex queries, maintaining state, and integrating human feedback for enhanced decision-making. By the end of this course, you'll have a hands-on understanding of AI agent architecture, key frameworks, and real-world applications.
Building Autonomous AI Agents with LangGraph
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
4 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
What you'll learn
Build autonomous AI agents with advanced query handling and state management.
Integrate LangGraph to design scalable, interactive AI systems.
Develop and optimize AI agents with built-in tools and human-in-the-loop workflows.
Create AI-powered applications, including a financial report writer with GUI.
Skills you'll gain
Details to know
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Recently updated!
January 2025
Assessments
4 assignments
Taught in English
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There are 6 modules in this course
In this module, we will establish a solid foundation for the journey ahead by outlining the course’s goals, structure, and prerequisites. You’ll also gain an overview of the exciting tools and projects you’ll create, ensuring you’re well-prepared and motivated to dive deeper into autonomous AI agents.
What's included
4 videos1 reading
In this module, we will focus on setting up your development environment, starting with an optional step-by-step guide to installing Python. By the end of this section, you’ll be equipped with the essential tools to begin working on autonomous AI agent development.
What's included
1 video
In this module, we will delve into the core concepts and practical applications of AI agents. You’ll gain hands-on experience by building your first AI agent, exploring its capabilities with complex queries, and refining its usability through automation and interactivity. This comprehensive exploration will prepare you to create advanced autonomous AI solutions.
What's included
9 videos1 assignment
In this module, we will dive deeply into the LangGraph framework, exploring its foundational principles and practical applications. You’ll build increasingly sophisticated AI agents, starting with basic setups and evolving to incorporate tools, memory, and human oversight. This section equips you with the skills to harness LangGraph’s full potential for creating versatile and intelligent AI agents.
What's included
12 videos1 assignment
In this module, we will bring together everything you’ve learned to build a financial report writer AI agent as the capstone project. You’ll work on designing the agent’s architecture, creating and linking functional components, and adding a user-friendly GUI. By the end, you’ll have a fully operational and optimized AI agent showcasing your mastery of autonomous AI development with LangGraph.
What's included
7 videos1 assignment
In this module, we will conclude the course by summarizing your learning journey and discussing pathways to expand your knowledge and proficiency. You’ll gain insights into future opportunities, tools, and projects to continue building on the foundation established in this course.
What's included
1 video1 assignment
Instructor
Offered by
Recommended if you're interested in Networking
Google Cloud
Fractal Analytics
Coursera Project Network
Kennesaw State University
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.