How does this course help in real-world scenarios?

The course uses practical demos and enterprise use cases to help you build intelligent AI workflows, automate business processes, optimize workflow execution, improve decision-making, and implement scalable AI-powered automation systems using LangGraph.

What will I get if I subscribe to this Specialization?

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Is financial aid available?

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Master LangGraph Agents for Enterprise Automation Training

Master LangGraph Agents for Enterprise Automation Training

Q: What certification will I receive?

You will earn a certificate that validates your expertise in LangGraph workflows, AI orchestration, LLM agent architectures, intelligent automation, and enterprise AI workflow execution.

Instructor: Priyanka Mehta

Included with Learn more

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3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

3 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

Recommended experience

9 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

Understand LangGraph workflows, AI agents, nodes, and orchestration
Implement prompt chaining, routing, and parallel AI workflows
Explore LLM agent architectures and intelligent automation systems
Build scalable enterprise AI workflows for automation and decision-making

Details to know

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There are 3 modules in this course

This comprehensive LangGraph and Intelligent AI Workflow Automation course builds strong expertise in AI workflow orchestration, LLM agent architectures, and enterprise AI automation using LangGraph. Learn LangGraph workflows, AI agents, nodes, edges, routing, prompt chaining, conditional execution, and parallel processing through practical enterprise scenarios. Explore collaborative AI systems, augmented LLMs, and intelligent automation workflows that improve decision-making, streamline operations, and drive scalable AI-powered enterprise transformation.

By the end of this course, you will be able to: - Understand LangGraph Foundations: Explore workflows, agents, nodes, and edges - Analyze LLM Agent Architectures: Learn collaborative AI systems and execution models - Orchestrate Intelligent Workflows: Implement routing, conditional execution, and automation - Build Scalable AI Systems: Apply parallel processing and workflow optimization techniques - Implement Prompt Chaining: Automate AI-driven tasks using LangGraph workflows - Explore Augmented LLMs: Understand advanced AI workflow patterns and orchestration - Drive Enterprise Automation: Apply intelligent AI workflows for operational efficiency Ideal for technology professionals, AI enthusiasts, developers, enterprise architects, product managers, and professionals building intelligent AI workflows and enterprise automation systems.

Build a strong foundation in LangGraph and intelligent AI workflow orchestration through this beginner-friendly module. Learn the core concepts of LangGraph, including workflows, agents, nodes, and edges, while understanding how AI-driven systems coordinate tasks across enterprise applications. Explore the key features, architecture, and real-world applications of LangGraph to design scalable, autonomous AI workflows and intelligent agent-based systems for next-generation automation and decision-making.

What's included

5 videos1 reading3 assignments

5 videosTotal 14 minutes

Course Introduction2 minutes
What Is LangGraph?2 minutes
Key Features and Analogy of LangGraph3 minutes
LangGraph: Workflows and Agents2 minutes
Nodes and Edges in LangGraph Workflow5 minutes

1 readingTotal 10 minutes

Course Syllabus10 minutes

3 assignmentsTotal 130 minutes

Quiz on Introduction to LangGraph15 minutes
Quiz on Introduction to Nodes and Edges55 minutes
Assessment for Introduction to LangGraph and Core Concepts60 minutes

Explore the fundamentals of LLM agent architectures and understand how intelligent AI systems execute workflows across enterprise environments. Learn collaborative LLM agent structures, workflow orchestration, and the strategic importance of AI adoption. This module also covers key execution features of LangGraph, including prompt chaining, procedural setup, and hands-on demonstrations for automating AI-driven tasks such as product description generation using intelligent workflows.

What's included

8 videos3 assignments

8 videosTotal 41 minutes

Introduction to LLM Agent Architecture and Adoption7 minutes
LLM Agent Workflow3 minutes
Collaborative Structure of LLM Agents4 minutes
Strategic Imperative of LLM Agent Adoption4 minutes
Key Execution Features of LangGraph3 minutes
Prompt Chaining in LangGraph4 minutes
Procedural Setup for Demos4 minutes
Demo: LangGraph Prompt Chaining for Automated Product Descriptions 13 minutes

3 assignmentsTotal 130 minutes

Quiz on Introduction to LLM Architecture and Adoption15 minutes
Quiz on Key Execution Features of LangGraph Part 155 minutes
Assessment for LLM Architecture and Execution Features60 minutes

Master advanced LangGraph execution patterns and intelligent AI workflow orchestration through practical demos and real-world applications. Learn parallel execution, intelligent routing, conditional workflows, orchestration, and optimization techniques for scalable AI systems. Explore augmented LLMs, LangGraph agents, and automated client inquiry workflows while understanding how intelligent AI agents improve automation, decision-making, content generation, and enterprise workflow efficiency.

What's included

11 videos3 assignments

11 videosTotal 76 minutes

Parallel Execution in LangGraph3 minutes
Demo: Parallel AI Content Generation with LangGraph10 minutes
Routing and Conditional Execution in LangGraph4 minutes
Demo: Intelligent Routing for AI Story Generation with LangGraph 11 minutes
Orchestration and Optimization in LangGraph4 minutes
Augmented LLMs3 minutes
Demo: LangGraph Augmented LLM: Smart Search Optimization 11 minutes
Understanding LangGraph Agents3 minutes
Demo: End-to-End Automated Client Inquiry Workflow Demo - Part 114 minutes
Demo: End-to-End Automated Client Inquiry Workflow Demo - Part 211 minutes
Key Takeaways2 minutes

3 assignmentsTotal 130 minutes

Quiz on Key Execution Features of LangGraph Part 215 minutes
Quiz on Patterns in LangGraph55 minutes
Assessment for Advanced Execution, Patterns and Wrap-up60 minutes

Instructor

Priyanka Mehta

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87 Courses80,674 learners

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Frequently asked questions

This course focuses on building expertise in LangGraph workflows, AI workflow orchestration, LLM agent architectures, and enterprise AI automation. It covers intelligent AI systems, prompt chaining, routing, workflow execution, parallel processing, and scalable AI automation through real-world enterprise scenarios.

This is a beginner-friendly course for technology professionals, AI enthusiasts, developers, enterprise architects, product managers, and innovation leaders looking to build intelligent AI workflows and enterprise automation systems using LangGraph.

You will learn LangGraph workflows, AI orchestration, LLM agent architectures, prompt chaining, routing, conditional execution, parallel processing, workflow optimization, and scalable enterprise AI automation techniques.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.