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Building AI Applications with Large Language Models and LangChain Intermediate

The "Building AI Applications with Large Language Models and LangChain" course equips AI developers, data scientists, and software engineers with skills to overcome fragmented AI workflows by mastering LangChain for production-grade agent development. It covers Retrieval-Augmented Generation (RAG), agent design, and LangSmith debugging, addressing the demand where 34.3% of agentic AI roles specifically require LangChain expertise.

This course prepares learners for the LangChain Certified Agent Engineer (LCAE) certification, the industry’s first credential covering the full Agent Development Lifecycle. Koenig’s 30-day lab access ensures hands-on mastery, leading to roles in enterprise SaaS, fintech, and AI labs with median top salaries of $210,000.

24 Hours (3 Days)
Live Online / Classroom
11+ professionals trained

Training Formats & Pricing

1-on-1 USD 2,100
Dedicated instructor, your schedule Fastest
Public Batch USD 1,800
Group class, fixed schedule Most Popular
Self-Paced On Request
Recorded sessions, learn anytime Best Value

100% Happiness Guarantee · Free Rescheduling · Secure Payment

Course Overview

The course Building AI Applications with Large Language Models and LangChain by Open Source is designed for developers, AI engineers, and data scientists seeking to master the development of intelligent, context-aware applications using cutting-edge language models. While no formal certification exam is directly tied to the course, it aligns closely with the skills assessed in the LangChain Certified Agent Engineer (LCAE) exam, a credential gaining rapid recognition in the AI community. This training serves roles such as LLM Application Developer, AI Agent Engineer, and Generative AI Solutions Architect. With over 25 million downloads of the LangChain library and adoption by leading tech firms, demand for professionals skilled in agent-based AI systems has surged, making this course essential for staying competitive in the evolving AI landscape.

Participants engage with core technologies including LangChain, LangGraph, LangSmith, Deep Agents, Hugging Face, and OpenAI, gaining hands-on experience in building production-grade AI workflows. The course features a robust lab environment where students use Python, VS Code, and cloud platforms like Microsoft Foundry to construct real-world applications. A key project involves building an Agentic RAG (Retrieval-Augmented Generation) system that intelligently decides when to retrieve external knowledge, enabling accurate, context-aware responses. Through LangSmith, learners trace, evaluate, and debug their agents, simulating enterprise-grade development practices. These labs emphasize modular design using LangChain’s Expression Language (LCEL), ensuring students gain practical skills in creating scalable, maintainable AI applications.

By completing Building AI Applications with Large Language Models and LangChain, learners are well-prepared for the LangChain Certified Agent Engineer credential, which validates expertise in agent development and is increasingly sought by employers investing in generative AI. Certified professionals report average salaries between $160,000 and $240,000, reflecting the high market value of these skills. Koenig Solutions enhances this learning journey with Guaranteed-to-Run classes and 1-on-1 training, ensuring personalized attention and flexible scheduling. Graduates emerge ready to lead AI innovation, capable of designing autonomous systems that drive efficiency and intelligence across industries.

What You'll Learn

Design advanced LangChain workflows with integrated memory and intelligent agents to build scalable AI applications
Implement Retrieval-Augmented Generation (RAG) using LangChain document loaders and splitters for enhanced data retrieval
Configure vector stores effectively for semantic search in LangChain, improving search accuracy and speed
Deploy LangChain agents with secure API integrations to ensure safe and reliable AI system operation
Optimize large language model (LLM) applications with LangSmith evaluation tools to boost performance and reliability
Monitor multi-agent systems in LangServe deployments to ensure seamless operation and system health

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in Python programming and scripting for building AI applications with large language models and LangChain
  • Understanding of REST APIs and HTTP methods essential for integrating AI services
  • Experience with command-line interface tools to streamline development workflows
  • Knowledge of JSON data format and parsing critical for handling AI data exchanges
  • Basic understanding of machine learning concepts and NLP to grasp AI model functionalities
  • Prior exposure to Hugging Face models or OpenAI API to facilitate AI application development
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Certification Exam

Everything you need to know about the Building AI Applications with Large Language Models and LangChain certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Not applicable
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Course Student Reviews

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

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Verified Reviews
4.9 / 5
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95%
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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

    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
  • ★★★★★

    “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 Building AI Applications with Large Language Models and LangChain training course

Is the certification exam included in Building AI Applications with Large Language Models and LangChain fees?
The certification exam is not included in the course fee and costs $99 USD separately. This fee covers the Open Source LangChain Certified Agent Engineer exam, which is online and proctored. You receive a dedicated LangSmith organization and must pass within 24 months of payment to maintain your certification eligibility.
What training formats does Koenig offer for Building AI Applications with Large Language Models and LangChain?
Koenig provides live online 1-on-1, public instructor-led, and classroom training, all Guaranteed-to-Run regardless of enrollment. Students gain expert instruction and hands-on labs. This Guaranteed-to-Run policy ensures your training proceeds as scheduled, providing reliable planning for those pursuing certification in AI applications with LangChain by Open Source.
How long is lab access provided for Building AI Applications with Large Language Models and LangChain?
Lab access lasts 6 months via Koenig’s LET Platform using cloud-hosted virtual machines. These VMs are pre-configured with LangChain, Python, and APIs, allowing students to build AI agents, RAG pipelines, and multi-agent systems in a high-performance environment. This setup removes local hardware constraints, ensuring seamless access to real-time development tools for every student.
What is Koenig's rescheduling policy for Building AI Applications with Large Language Models and LangChain?
Koenig allows free rescheduling to another Guaranteed-to-Run batch if requested 10 days before the start date. Cancellations or rescheduling within 10 days incur a 50% fee of the total purchase amount. Per Koenig's Terms of Service, you may only reschedule the same training session one time.
What is the exam format for Building AI Applications with Large Language Models and LangChain certification?
The LangChain Certified Agent Engineer exam is a 2-hour, online proctored assessment featuring 40 multiple-choice questions. You need a 70% score (28/40) to pass. Arrive 30 minutes early for ID verification. The exam covers Build, Test, Deploy, and Monitor domains, with each section contributing 25% to your final score.
How long is the certification valid for Building AI Applications with Large Language Models and LangChain?
The LangChain Certified Agent Engineer certification is valid for 24 months from your passing date. To renew, you must pass the current version of the exam before it expires. While there is no continuing education requirement, renewal ensures your skills align with the latest LangChain features and production deployment practices.
What post-training support does Koenig provide for Building AI Applications with Large Language Models and LangChain?
Koenig provides 6 months of lab access, class recordings, and online mentor availability for technical queries. Students receive exam guidance and benefit from the Happiness Guarantee, which allows a free course retake if unsatisfied. This support ensures you can successfully apply LangChain skills in real-world AI application development projects.
What are the prerequisites for Building AI Applications with Large Language Models and LangChain?
Prerequisites include strong Python programming skills, familiarity with virtual environments, and a basic understanding of LLMs, prompt engineering, and vector databases. Experience with APIs like OpenAI, Groq, or Gemini is required. Knowledge of Git, Docker, and cloud fundamentals is highly beneficial for mastering these advanced AI workflows.
What is the career benefit of completing Building AI Applications with Large Language Models and LangChain?
Professionals with LangChain skills earn a median base salary of $210,000, with senior roles reaching $290,000. Certification validates your expertise in building AI agents and RAG systems. This leads to roles like LLM Application Engineer or Agent Orchestration Specialist, especially within AI-native startups and leading enterprise technology companies.
How does instructor-led training compare to self-study for Building AI Applications with Large Language Models and LangChain?
Instructor-led training accelerates competence to 2-4 weeks versus 3-6 months for self-study, providing immediate feedback on best practices. It prevents costly errors in security and architecture. Koenig's structured approach includes mentorship and community support, ensuring you gain production-ready AI application skills faster than through independent study methods.
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