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Create AI Agents Using LangGraph Intermediate

The 'Create AI Agents Using LangGraph' course equips AI developers and software engineers with hands-on skills to build stateful, resilient agents using the open-source LangGraph framework, addressing the industry challenge of orchestrating complex, long-running workflows—evidenced by adoption at J.P. Morgan, Uber, and Klarna. Learners gain expertise in building multi-agent systems, integrating human-in-the-loop controls, and deploying production-grade agents through real-world projects like email triage and deep research assistants.

This course prepares learners for the LangChain Certified Agent Engineer (LCAE) exam, featuring 40 MCQs and a $99 fee. Koenig Solutions offers Guaranteed-to-Run dates and 30-day lab access, ensuring consistent, hands-on practice. Graduates emerge ready to design and deploy advanced agentic systems in enterprise environments.

16 Hours (2 Days)
Live Online / Classroom
2+ professionals trained

Training Formats & Pricing

1-on-1 USD 1,100
Dedicated instructor, your schedule Fastest
Public Batch USD 850
Group class, fixed schedule Most Popular
Self-Paced USD 199
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Course Overview

The Create AI Agents Using LangGraph course by Open Source is designed for developers, AI engineers, and automation specialists seeking to master agent orchestration using the LangGraph framework. This hands-on program prepares learners for the LangChain Certified Agent Engineer certification exam, a rapidly recognized credential in the AI development community. Ideal for professionals targeting roles such as AI Agent Engineer, Agentic Systems Developer, or LLM Platform Engineer, the course addresses growing industry demand—over 60% of AI-first startups now use LangGraph for production-grade agent workflows. Participants will gain practical expertise in building stateful, controllable agents that power intelligent automation systems across finance, customer service, and enterprise operations.

Students engage with core technologies including LangGraph, LangChain, LangSmith Studio, DeepAgents, and Python-based state machines within an interactive lab environment. The curriculum emphasizes real-world application through projects like building a research assistant with parallel sub-agents, an email triage system with long-term memory, and a multi-agent music store orchestrated via supervisor nodes. Using LangGraph’s directed graph model—comprising nodes, edges, conditional routing, and shared state—learners configure persistent memory, implement human-in-the-loop moderation, and enable token-by-token streaming for enhanced UX. All labs are executed in LangGraph Studio, allowing students to visualize agent traces, manage state schemas, and deploy agents using industry-standard tooling.

This course directly supports preparation for the LangChain Certified Agent Engineer certification, which validates advanced skills in agent design, testing, deployment, and monitoring—competencies increasingly required by global product companies and AI-native firms. Certified professionals report average salary ranges between ₹15–30 LPA in India, with senior roles like AI Automation Architect reaching up to ₹50 LPA. Koenig Solutions enhances this learning journey with Guaranteed-to-Run batches and 1-on-1 training options, ensuring personalized attention and flexible scheduling. By mastering agent orchestration with official courseware and expert instruction, graduates are positioned to lead in the next generation of adaptive, language-driven AI systems.

What You'll Learn

Architect complex agentic workflows using StateGraph primitives within Create AI Agents Using LangGraph by Open Source.
Configure persistent memory and state recovery mechanisms using Checkpointers in Create AI Agents Using LangGraph by Open Source.
Deploy CompiledGraph instances to execute multi-step agentic reasoning and tool orchestration.
Integrate external search tools and data retrieval systems into LangGraph architectures to improve decision-making accuracy.
Debug human-in-the-loop interaction patterns to maintain control over agent execution flows.
Optimize autonomous content generation agents by refining LLM integration and state management strategies.

Skills You'll Gain

LangGraph Nodes LangGraph Edges LangGraph State LangGraph Checkpoints LangGraph Persistence LangGraph Agents Tool Calling State Management Multi Agent Systems Agent Orchestration Workflow Automation LLM Integration Human In Loop Agent Memory Production Deployment Scalable Agents

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in Python programming, including functions, classes, error handling, pydantic models, and asyncio, is essential for building agents with LangGraph by LangChain.
  • A solid understanding of Large Language Models (LLMs) and their API integration patterns will help you build effective AI solutions with LangGraph.
  • Experience with LangChain components for model and tool integration enhances your ability to develop sophisticated AI agents.
  • Familiarity with stateful workflows and message-passing architectures is crucial for designing reliable AI systems with LangGraph.
  • Knowledge of environment variable management and API key setup, such as LANGSMITH_API_KEY, ensures secure and efficient deployment of AI agents.
  • A basic understanding of agent orchestration concepts and tool calling in AI applications will accelerate your learning and project success.
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Certification Exam

Everything you need to know about the Create AI Agents Using LangGraph certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
N/A
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Create AI Agents Using LangGraph

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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Master AI Agents Using LangGraph
Grasp essential AI agent concepts Develop Python-based agents efficiently Balance LLM and code logic Configure LangGraph development environments Apply ReAct reasoning-acting loops Execute foundational agent workflows Utilize create_agent components Verify course prerequisites and tools
2
Day 2– LangGraph Core Architecture
Optimize LangGraph state management Define states using TypedDict Validate state via Pydantic Construct graph nodes and edges Engineer control flow routing Build modular agent structures Apply reducers for parallel tasks Enable persistent agent sessions
3
Day 3– Advanced LangGraph Agent Patterns
Create virtual agent file systems Perform read/write/edit operations Offload context to external files Implement long-term agent memory Manage tasks with TODO lists Monitor dynamic task statuses Design structured research workflows Reduce token usage via summaries
4
Day 4– Multi-Agent Systems with LangGraph
Deploy specialized sub-agent units Delegate tasks using task() tools Isolate sub-agent processing contexts Manage centralized agent registries Run parallel research data streams Orchestrate hierarchical agent flows Resolve complex workflow challenges Eliminate cross-task interference
5
Day 5– Production-Ready LangGraph Agents
Integrate advanced agentic search Boost intelligence with Tavily Implement human-in-the-loop approvals Stream real-time agent outputs Manage seamless conversation switching Restore historical agent states Synthesize full-scale agent systems Deploy via LangGraph Studio

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

85%

of Create AI Agents Using LangGraph certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Create AI Agents Using LangGraph certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • AI Engineer
  • Agentic AI Developer
  • LLM Application Engineer
  • AI Automation Architect
  • Senior AI Engineer
  • Applied AI Engineer

Companies Hiring

5,000+
Microsoft Google Amazon Accenture Deloitte Infosys Wipro TCS Cognizant Limbach Gruppe

and 5,000+ organizations worldwide seeking Create AI Agents Using LangGraph certified professionals

Real Transformations

Course Student Reviews

Real results from IT professionals who trained with Koenig — rated 4.9/5 from 18,400+ verified reviews.

18,400+
Verified Reviews
4.9 / 5
Average Rating
95%
Would Recommend
1M+
Professionals Trained
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

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  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “Passed AZ-104 on first attempt. The MCT knew the exact exam patterns and the labs were exactly what Microsoft tests. Worth every penny.”

    Rahul M.

    Rahul M.

    Azure Administrator

    AZ-104 Certified ✓ Verified
  • ★★★★★

    “I trained 15 of my team members for SC-200. Koenig's on-site delivery was seamless and all 15 passed within 3 months.”

    Sarah K.

    Sarah K.

    CISO, Financial Services

    Enterprise Client ✓ Verified
  • ★★★★★

    “The 1-on-1 format was a game changer. My trainer adjusted the pace to my schedule and I cleared PL-300 while working full-time.”

    Ahmed R.

    Ahmed R.

    Business Intelligence Lead

    PL-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

    Priya S.

    Cloud Solutions Architect

    AZ-305 Expert ✓ Verified
  • ★★★★★

    “As an L&D head I've used 5 training vendors. Koenig's MCT quality, MOC materials, and ESI compliance is in a different league.”

    James T.

    James T.

    Head of L&D, UK Enterprise

    100+ Learners Trained ✓ Verified
  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

    Aisha N.

    Aisha N.

    Security Analyst

    SC-300 Certified ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified
  • ★★★★★

    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

    David L.

    David L.

    AI Engineer

    AI-102 Certified ✓ Verified
  • ★★★★★

    “DP-600 Fabric certification done in 3 weeks of part-time study. The customised schedule around my timezone was a lifesaver.”

    Mei W.

    Mei W.

    Data Platform Engineer

    DP-600 Certified ✓ Verified
  • ★★★★★

    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

    Carlos R.

    Carlos R.

    Engineering Manager

    AZ-400 Team Training ✓ Verified

Frequently Asked Questions

Everything you need to know about the Create AI Agents Using LangGraph training course

Is the certification exam included in the 'Create AI Agents Using LangGraph' course, and what is the exam fee?
The LangChain Certified Agent Engineer exam is not included in the 'Create AI Agents Using LangGraph' course. You must purchase it separately for $99 USD. This Open Source vendor exam is administered online via a proctored platform. It covers agent development, testing, deployment, and monitoring. You are responsible for scheduling and paying for the exam directly through LangChain Academy.
What training formats are available for 'Create AI Agents Using LangGraph', and does Koenig offer Guaranteed-to-Run scheduling?
Koenig offers the 'Create AI Agents Using LangGraph' course in live online 1-on-1, public instructor-led, and self-paced Flexi formats. All formats feature Guaranteed-to-Run scheduling, ensuring your session proceeds regardless of enrollment numbers. Each format includes official Open Source courseware, hands-on labs, and expert instruction from certified trainers to ensure you gain practical, job-ready skills in agentic AI development.
How long is lab access provided, and what type of environment is used for the 'Create AI Agents Using LangGraph' course?
You receive 30 days of post-training lab access via a cloud-based AWS sandbox environment. This secure, real-world simulation allows you to build and deploy agents using LangGraph, LangChain, and Amazon Bedrock without local setup. Labs are accessible 24/7, providing a flexible environment to master the 'Create AI Agents Using LangGraph' curriculum and reinforce your technical expertise.
What is Koenig's rescheduling and cancellation policy for the 'Create AI Agents Using LangGraph' course?
Koenig allows free rescheduling for 'Create AI Agents Using LangGraph' if requested at least 7 days before the start date. Rescheduling within 7 days incurs a 25% fee, while cancellations are subject to a 15% administrative charge. Per Koenig’s Terms of Service, you may not reschedule the same training session more than once.
What is the format, number of questions, passing score, and time limit for the LangChain Certified Agent Engineer exam?
The LangChain Certified Agent Engineer exam consists of 40 multiple-choice questions with a 120-minute time limit. You must achieve a 70% passing score (28/40). The test is divided into four sections—Build, Test, Deploy, and Monitor—each worth 25% of your final grade. You must join the online proctored session 30 minutes early for identity verification.
How long is the LangChain Certified Agent Engineer certification valid, and what is the renewal process?
Your LangChain Certified Agent Engineer certification remains valid for 24 months from your pass date. To renew, you must retake and pass the current version of the exam before your certification expires. There is no grace period for renewal, and the full $99 exam fee applies to all subsequent attempts to maintain your professional credential.
What post-training support does Koenig provide after completing the 'Create AI Agents Using LangGraph' course?
Koenig provides 90 days of post-training support for 'Create AI Agents Using LangGraph', including expert mentor access and community forum engagement. You receive one free course retake within six months, 6 months of video access, and ongoing lab support. This comprehensive support structure ensures you retain complex skills and remain fully prepared for your certification exam.
Are there any prerequisites or prior experience required for enrolling in the 'Create AI Agents Using LangGraph' course?
You should have foundational Python programming knowledge, familiarity with Large Language Models (LLMs), and a basic understanding of AI workflows. We strongly recommend completing the 'LangChain Foundations' course first. While no formal certification is required, hands-on coding experience significantly improves your ability to master the 'Create AI Agents Using LangGraph' orchestration framework effectively.
What career benefits and salary impact can professionals expect after completing the 'Create AI Agents Using LangGraph' course?
Completing 'Create AI Agents Using LangGraph' prepares you for roles like AI Engineer or ML Specialist, with U.S. salaries ranging from $110,000 to $160,000. Industry data shows that expertise in agentic AI systems increases job placement speed by 40%. You will gain the technical authority needed to lead high-impact AI projects within modern, data-driven organizations.
How does instructor-led training for 'Create AI Agents Using LangGraph' compare to self-study options in terms of outcomes and preparation effectiveness?
Instructor-led training for 'Create AI Agents Using LangGraph' provides real-time doubt resolution and guided labs, leading to higher certification pass rates. Koenig’s cohort-based model improves concept retention by 50% through mentorship and peer interaction. Conversely, self-study lacks personalized feedback, which can increase your time-to-proficiency by an estimated 30–40% compared to our expert-led sessions.
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