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Certification

Certification in Building and Deploying AI Agents with Langgraph

Get certified in AI Agentic Workflows with Langgraph,demonstrate expertise in building adaptive AI agents, automating business processes, and deploying intelligent, multi-agent systems to solve real-world challenges.

Exam of 10 to 20 questionsCertificate for LinkedInBeginner
IT and developmentProduct developmentOperationsExecutives and strategy
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The exam

Take the certification exam

Multiple-choice questions about the course. Pass with 70% or more and your certificate is issued at once, with a public page and an "Add to LinkedIn" button.

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What the exam covers

2 questions from each of the 7 chapters of the course

14 multiple-choice questions, drawn fresh for every attempt. Pass with 70% or more.

  1. 01Agenda and AI paradigms3:24
  2. 02Understanding agentic AI4:26
  3. 03Vertical AI applications2:45
  4. 04Business impact of agents2:58
  5. 05Career and technical skills2:06
  6. 06Introduction to LangGraph4:07
  7. 07Retail agent demo27:13
About the course

Earn your "Build AI Agents with Langgraph: Beginner’s Guide to Agentic Workflows" certification and gain hands-on experience creating intelligent AI agents that automate and optimize real business processes. Master essential skills such as increased productivity, adaptability, improved decision-making, and a competitive advantage in a rapidly evolving field. Enroll today to future-proof your career and unlock new opportunities in the world of agentic AI.

This certification covers the following topics:

  • The Evolution of AI: From Perception to Generative to Agentic
  • What is Agentic AI? Core Concepts and Architecture
  • Key Characteristics of Agentic AI Systems
  • Agentic AI vs. Traditional AI Workflows
  • Vertical Agentic AI: Industry-Specific Customization
  • Agentic AI Across Industries: Real-World Applications
  • Essential Tools and Frameworks for Building AI Agents
  • How Langgraph Works: Core Concepts and Building Blocks
  • Building a Vertical AI Agent in Retail: Step-by-Step Example
  • Key Components in Practice: System Prompts, Tools, and Memory
  • Routing Logic and Error Handling: Making Agents Reliable
  • Visualizing and Debugging Multi-Agent Flows in Langgraph