Building Autonomous AI Agents with LangGraph

Building Autonomous AI Agents with LangGraph

Instructor: Packt - Course Instructors

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6 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

6 hours to complete

Flexible schedule

Learn at your own pace

6 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

6 hours to complete

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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Assessments

5 assignments

Taught in English

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There are 6 modules in this course

Updated in May 2025.

This course now features 糖心vlog官网观看 Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Unlock the potential of autonomous AI agents with LangGraph in this comprehensive course. Designed for developers and AI enthusiasts, you鈥檒l 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. The journey begins with an introduction to AI agents, setting up your environment, and a demo of what you鈥檒l achieve. Next, dive deep into AI agents鈥� functionality as you build your first agent using the OpenAI API. Experience practical examples of automation, interactivity, and complex query processing to enhance your agent鈥檚 capabilities. In the LangGraph module, you鈥檒l explore the framework鈥檚 core concepts, from state management to tool integration. You鈥檒l learn to add memory, human-in-the-loop mechanisms, and graphical interfaces for comprehensive AI solutions. The course culminates with a capstone project where you鈥檒l develop an AI financial report writer agent, showcasing your mastery of LangGraph. This course is ideal for intermediate developers with basic Python knowledge looking to advance their AI expertise. Whether you鈥檙e building tools for automation or exploring new AI paradigms, this course will elevate your skills and set you apart in the AI landscape.

In this module, we will establish a solid foundation for the journey ahead by outlining the course鈥檚 goals, structure, and prerequisites. You鈥檒l also gain an overview of the exciting tools and projects you鈥檒l create, ensuring you鈥檙e 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鈥檒l be equipped with the essential tools to begin working on autonomous AI agent development.

What's included

1 video1 plugin

In this module, we will delve into the core concepts and practical applications of AI agents. You鈥檒l 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 assignment1 plugin

9 videosTotal 61 minutes

AI Agents Deep Dive - A Full Overview7 minutesPreview module
Agents Characteristics and Use Cases2 minutes
Building our First AI Agent - Project Setup (OpenAI API)3 minutes
Build our First AI Agent - Creating the Agent Class and Prompt10 minutes
First AI Agent - Running our First Agent and Seeing the Results7 minutes
Passing Complex Queries Through the Agent11 minutes
First Agent - Using a Loop to Automate our Agent10 minutes
Adding Interactive to Our Agent - Console App4 minutes
Section Summary3 minutes

1 assignmentTotal 15 minutes

Assessment 115 minutes

1 pluginTotal 20 minutes

Exploring AI Agents20 minutes

In this module, we will dive deeply into the LangGraph framework, exploring its foundational principles and practical applications. You鈥檒l 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鈥檚 full potential for creating versatile and intelligent AI agents.

What's included

12 videos1 assignment1 plugin

12 videosTotal 61 minutes

LangGraph - Overview & Key Concepts5 minutesPreview module
How LangGraph Helps to Build AI Agents2 minutes
LangGraph Core Concepts - Simple Flow Diagram2 minutes
LangGraph - Data and State - Overview2 minutes
Building a Simple Agent with LangChain11 minutes
LangGraph Simple Bot - Streaming Values - Console App5 minutes
Adding Tools to our Basic LangGraph Agent6 minutes
Adding tools to the Agent - Part 16 minutes
Adding Tools to the Agent - Using Built-in Tools - Part 24 minutes
Adding Memory to Our Agent State8 minutes
Adding Human-in-the-loop to the AI Agent5 minutes
Section Summary1 minute

1 assignmentTotal 15 minutes

Assessment 215 minutes

1 pluginTotal 20 minutes

Building AI Agents with Lang Graph20 minutes

In this module, we will bring together everything you鈥檝e learned to build a financial report writer AI agent as the capstone project. You鈥檒l work on designing the agent鈥檚 architecture, creating and linking functional components, and adding a user-friendly GUI. By the end, you鈥檒l have a fully operational and optimized AI agent showcasing your mastery of autonomous AI development with LangGraph.

What's included

7 videos1 assignment1 plugin

7 videosTotal 42 minutes

AI Financial Report Writer Agent - Overview1 minutePreview module
Agent State and Prompts Setup6 minutes
Creating All Nodes - Functions10 minutes
Adding Nodes and Edges and Running our Agent11 minutes
Adding a GUI to the Agent with Streamlit7 minutes
Optimization Techniques - Overview3 minutes
Course Summary1 minute

1 assignmentTotal 15 minutes

Assessment 315 minutes

1 pluginTotal 20 minutes

Building an AI with Lang Graphs20 minutes

In this module, we will conclude the course by summarizing your learning journey and discussing pathways to expand your knowledge and proficiency. You鈥檒l gain insights into future opportunities, tools, and projects to continue building on the foundation established in this course.

What's included

1 video2 assignments

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Instructor

Packt - Course Instructors

Packt

802 Courses166,955 learners

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Packt

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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鈥檒l 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鈥檒l be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.

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