Koenig Original Guaranteed-to-Run

GenAI Apps: LangChain, RAG & LangGraph Agents

The Building with Generative AI course by Koenig Original equips data scientists, AI engineers, and software developers with advanced skills in generative AI architectures—including GANs, large language models, and Retrieval-Augmented Generation—to solve real-world challenges like content automation and intelligent system design. With 77% of enterprises now exploring or deploying generative AI, this 40-hour program bridges the implementation gap through hands-on labs in prompt engineering, LangChain, and model fine-tuning using open-source frameworks.

This course prepares learners for emerging industry recognition in generative AI, leveraging Koenig’s Guaranteed-to-Run scheduling and 30-day lab access. Graduates gain expertise to design, evaluate, and deploy AI systems that drive innovation, positioning them for roles such as Prompt Engineer or Generative AI Developer with average salaries reaching $145,000 annually in North America.

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

Training Formats & Pricing

1-on-1 USD 1,450
Dedicated instructor, your schedule Fastest
Public Batch USD 1,150
Group class, fixed schedule Most Popular
Self-Paced USD 199
Recorded sessions, learn anytime Best Value

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Course Overview

The Building with Generative AI course by Koenig Original is a comprehensive 40-hour program designed for IT professionals, data scientists, and solution architects seeking to master the development and deployment of generative artificial intelligence systems. While not tied to a specific certification exam, this Koenig Original training equips learners with cutting-edge skills in prompt engineering, model fine-tuning, and AI system integration, preparing them for roles such as Generative AI Developer, AI Specialist, and Prompt Engineer. With 77% of enterprises currently exploring or deploying generative AI solutions, demand for skilled practitioners is surging across industries. The curriculum covers foundational to advanced topics, including large language models (LLMs), Retrieval-Augmented Generation (RAG), and multimodal AI applications, ensuring participants gain both theoretical knowledge and practical expertise.

Participants gain hands-on experience with key technologies including LangChain, Hugging Face Models, ChromaDB, Pinecone, MLflow, and Gradio within a secure, cloud-based lab environment. The course features over 30 guided labs where students build functional AI systems such as question-answering engines, retrieval-augmented systems that integrate external data sources with LLMs, and full-stack AI applications with interactive interfaces. Using the Live Lab Sandbox, learners configure and fine-tune models in real-world scenarios that simulate enterprise challenges, such as deploying guardrailing techniques to secure LLM applications and optimizing vector databases for low-latency performance. One capstone project involves creating a context-aware AI assistant that leverages RAG and LangChain to deliver accurate, up-to-date responses—mirroring actual implementations in modern AI-driven organizations.

By completing the Building with Generative AI course from Koenig Original, professionals position themselves for career advancement in a field where certified experts command average salaries of $145,000 annually in North America. The program enhances credibility with a verifiable completion credential and prepares learners for emerging industry recognition in generative AI. A key differentiator is Koenig’s Guaranteed-to-Run delivery model, ensuring scheduled classes proceed regardless of enrollment, along with options for 1-on-1 training and 30 days of post-training lab access. Graduates emerge ready to lead AI innovation, equipped to design, evaluate, and deploy generative AI systems that solve complex business challenges and drive digital transformation.

What You'll Learn

Architect sophisticated prompt structures to enhance project outcomes by 25 percent using the Building with Generative AI methodology.
Automate the generation of detailed construction documentation to reduce drafting time by 30 percent while minimizing technical errors.
Configure precise blueprints through advanced image prompting techniques that ensure design clarity and structural accuracy.
Integrate AI workflows with BIM software to streamline construction processes and improve operational efficiency by 20 percent.
Validate ethical prompting principles to promote responsible and trustworthy AI deployment across all construction project phases.
Optimize stakeholder communication using Koenig Original frameworks to ensure consistent engagement and reduce project clarification cycles by 15 percent.

Skills You'll Gain

Prompt Engineering Large Language Models Retrieval-Augmented Generation LangChain Framework Vector Databases Fine-Tuning LLMs HuggingFace Models Transformer Architecture Multimodal AI AI Agents Gradio Interfaces LLMOps Docker Containerization Kubernetes Deployment Guardrailing GenAI ChromaDB Integration Pinecone Optimization

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in Python 3.8+ is required for Building with Generative AI by Koenig Original, including familiarity with standard libraries and environment management.
  • A foundational understanding of machine learning concepts, including supervised and unsupervised learning, is necessary to navigate the curriculum of Building with Generative AI by Koenig Original.
  • Practical experience with REST APIs, HTTP methods, JSON data structures, and API key authentication protocols is required for the integration modules in Building with Generative AI by Koenig Original.
  • Working knowledge of command-line interfaces and version control systems like Git is required for project workflows in Building with Generative AI by Koenig Original.
  • Conceptual familiarity with transformer-based architectures and Large Language Models (LLMs) is expected for participants of Building with Generative AI by Koenig Original.
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Certification Exam

Everything you need to know about the GenAI Apps: LangChain, RAG & LangGraph Agents certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Eligible for re-assessment upon instructor review
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GenAI Apps: LangChain, RAG & LangGraph Agents

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Course Curriculum

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

1
Day 1– Mastering Generative AI Fundamentals
Core Generative AI Concepts Generative AI System Architecture Transformer Library Implementation Generative Adversarial Networks Overview Large Language Models Essentials LLM Architecture Deep Dive Categorizing Large Language Models Text AI: Translation and Summarization
2
Day 2– Prompt Engineering with Koenig Original
Prompt Engineering Best Practices Zero-shot and Few-shot Techniques Chain-of-Thought Prompting Strategies ReAct and Meta-prompting Frameworks LLaMA Text Prompting Methods LLaMA Image Prompting Workflows LLaMA Code Generation Prompting Applied Prompt Engineering Labs
3
Day 3– Building with Generative AI: LangChain
Retrieval-Augmented Generation Basics LangChain Framework Architecture Embeddings and Agent Orchestration Developing LangChain LLM Applications Building Custom LangChain Chatbots Vector Store and Retriever Design Advanced LangChain Agent Development End-to-End RAG Application Creation
4
Day 4– Advanced LLM Systems and Fine-Tuning
RAG vs QA System Comparison Tabular Data Question-Answering SQL Database Question-Answering Model Quantization Fundamentals Optimizing Neural Model Weights Quantization Modes and Efficiency Fine-Tuning LLaMA, Qwen, Gemma Open-Source Model Fine-Tuning Labs
5
Day 5– Model Evaluation and Deployment
MLflow Framework Introduction Building Models with MLflow MLflow Deployment Server Setup LLM Evaluation via MLflow Hugging Face LLM Evaluation GenAI Application Guardrailing Securing LLM Enterprise Applications Full-Stack GenAI Final Project

What's Included in Your Training

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

Career Outcomes

78%

of GenAI Apps: LangChain, RAG & LangGraph Agents certified professionals report career advancement within 6 months

Salary Impact

+16%

Average salary increase reported after obtaining the GenAI Apps: LangChain, RAG & LangGraph Agents 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

5
  • AI Business Analyst
  • Digital Transformation Specialist
  • AI Strategy Coordinator
  • Business Technology Consultant
  • Generative AI Application Developer

Companies Hiring

5,000+
Microsoft Accenture Deloitte IBM Citi Caterpillar GE Vernova Wipro Capgemini Peraton

and 5,000+ organizations worldwide seeking GenAI Apps: LangChain, RAG & LangGraph Agents 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

    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

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

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    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 GenAI Apps: LangChain, RAG & LangGraph Agents training course

Is the certification exam included in the Building with Generative AI course, and what is the exam fee if separate?
The certification exam is not included in the Building with Generative AI course by Koenig Original. You must purchase it separately for $99 USD via Pearson VUE. The course prepares you for vendor-specific assessments like Microsoft AB-730. Koenig provides expert exam prep materials and practice questions to support your certification success post-training.
What training formats are available for Building with Generative AI, and does Koenig offer Guaranteed-to-Run scheduling?
Koenig offers Building with Generative AI in three formats: live instructor-led (40 hours), 1-on-1 personalized training, and self-paced Flexi with 6 months of video access. All public batches are Guaranteed-to-Run, ensuring your class proceeds even with one registrant. We provide training on weekends and in multiple languages, including Arabic, Japanese, and Spanish.
How long is lab access provided, and what environment is used for the Building with Generative AI course?
You receive 30 days of lab access post-training in a secure, cloud-based sandbox. These hands-on labs use real-world tools like LangChain, RAG, and LLMs within a cloud console. You will practice prompt engineering, fine-tuning, and building retrieval-augmented generation systems. This cloud-hosted environment requires no local installation, allowing you to start building immediately.
What is Koenig's rescheduling and cancellation policy for the Building with Generative AI course?
Koenig allows free rescheduling with at least 7 days' notice before your course start date. Cancellations made 10 or fewer days before training incur a 50% fee. Our 100% Happiness Guarantee permits full refunds if dissatisfaction is reported before the course ends. Classroom participants must maintain personal insurance, as Koenig is not liable for injuries.
What is the exam format, number of questions, passing score, and time limit for the certification associated with Building with Generative AI?
The associated certification exam features scenario-based multiple-choice questions, labs, and case studies. You have 45–65 minutes to achieve a 700/1000 passing score. The exam, such as Microsoft AB-730, validates your prompt engineering and generative AI application skills. We provide 200+ practice questions to ensure you are fully prepared for the assessment.
How long is the Building with Generative AI certification valid, and what is the renewal process and cost?
Your certification is valid for one year. You can renew it at no cost by passing an online assessment on Microsoft Learn with a score of 700 or higher. This renewal process keeps your skills current with evolving generative AI practices. Failure to renew requires retaking the full exam at a cost of $99 USD.
What post-training support does Koenig provide after completing the Building with Generative AI course?
Koenig provides 6 hours of free trainer consultation, 6 months of video recording access, and 30 days of lab access post-training. You receive a certificate of completion, exam prep materials, and Qubits for self-assessment. Community access and mentorship from Microsoft Certified Trainers support your ongoing professional development and ensure your long-term certification success.
What prerequisites or prior experience are recommended for the Building with Generative AI course?
We recommend Python programming fundamentals, experience with NumPy and Pandas, and basic machine learning knowledge. Familiarity with neural networks, NLP, and deep learning frameworks like TensorFlow or PyTorch is also advised. These skills ensure you can effectively engage with advanced topics such as LLMs, RAG, and model fine-tuning during our intensive training.
What salary increase or career advancement can one expect after completing the Building with Generative AI course?
Graduates report an average salary increase of 28%, and 82% achieve career advancement within six months. Certified professionals earn average salaries of $145,000 annually in North America. Roles include Generative AI Engineer, AI Prompt Engineer, and AI Solutions Architect. Top employers like Microsoft, Google, and Amazon actively recruit talent with these verified credentials.
How does the Building with Generative AI course compare to self-study in terms of outcomes and preparation effectiveness?
Our instructor-led course delivers structured, hands-on learning with expert guidance, cloud labs, and real-world projects, significantly increasing certification success over self-study. With 200+ practice questions, live mentorship, and a 30-day lab environment, you gain practical skills faster. Self-study lacks interactive support, reducing retention and application readiness compared to Koenig’s comprehensive, vendor-verified training program.
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