Koenig Original Guaranteed-to-Run

Agentic AI: LangChain, RAG & Open-Source LLMs

The course "Building Agentic AI Systems with Generative AI Models" by Koenig Original equips AI engineers and data scientists with skills to design autonomous systems that perceive, reason, and act. With demand for AI professionals growing by 32% annually (World Economic Forum), this program bridges the gap between theoretical knowledge and real-world implementation, enabling learners to build intelligent agents using open-source LLMs and frameworks like LangChain and AutoGPT.

Prepares learners for advanced roles in AI development with hands-on experience in agentic workflows, RAG, and multi-agent systems. Backed by Koenig’s Guaranteed-to-Run training schedule and 30-day lab access, it ensures mastery of production-grade AI agent deployment, empowering professionals to lead innovation in intelligent automation.

48 Hours (6 Days)
Live Online / Classroom
72+ professionals trained

Training Formats & Pricing

1-on-1 USD 2,500
Dedicated instructor, your schedule Fastest
Public Batch USD 2,000
Group class, fixed schedule Most Popular
Self-Paced USD 199
Recorded sessions, learn anytime Best Value

100% Happiness Guarantee · Free Rescheduling · Secure Payment

Course Overview

The Building Agentic AI Systems with Generative AI Models course by Koenig Original is a comprehensive program designed for AI engineers, machine learning specialists, and software developers aiming to master autonomous AI systems. This course does not lead to a specific third-party certification exam but serves as a specialized training path aligned with emerging industry standards in agentic AI development. With global enterprises increasingly adopting autonomous AI agents—87% of Fortune 500 companies now piloting agent-based systems—this course equips professionals with in-demand skills in reinforcement learning, autonomous decision-making, and generative model integration. Participants gain expertise in designing intelligent systems capable of independent goal execution, making it ideal for roles such as AI Research Scientist, Autonomous Systems Developer, and Generative AI Architect.

Students engage with cutting-edge open-source technologies including Llama 2, Hugging Face Transformers, LangChain, Stable-Baselines3, AutoGPT, and BabyAGI, all within a hands-on lab environment using Docker and cloud-based workspaces. The course includes practical projects such as building a text-based autonomous customer support agent, creating a multi-modal data entry assistant, and developing a vision-based inventory management system using YOLOv8 and OpenCV. Using the Azure cloud platform for deployment scenarios, learners configure end-to-end agentic workflows, integrate Gradio and Streamlit for UI development, and apply MLflow for model tracking and optimization. These labs are delivered through Koenig’s interactive Qubits self-assessment platform, ensuring real-world readiness.

Graduates of the Building Agentic AI Systems with Generative AI Models program gain a recognized Koenig course completion certificate and are prepared for advanced roles in the rapidly expanding field of autonomous AI, where professionals earn median salaries of $147,000 annually according to the 2024 AI Salary Survey. The course emphasizes practical mastery over theoretical concepts, distinguishing Koenig through its Guaranteed-to-Run training model and access to expert instructors for 1-on-1 consultation. As organizations increasingly deploy AI agents for automation and decision support, completing this Koenig Original training positions learners at the forefront of the next wave of AI innovation, enabling career advancement into senior AI engineering and research leadership roles.

What You'll Learn

Design advanced Agentic AI systems using Koenig Original's proven frameworks, enabling smarter automation and decision-making
Implement ReAct reasoning with LangChain and AutoGen to enhance AI responsiveness and contextual understanding
Configure multi-agent collaboration within Koenig Original architectures to improve system efficiency and teamwork
Deploy Agentic RAG pipelines with vector databases for faster, more accurate data retrieval
Integrate Koenig Original AI agents seamlessly into enterprise workflows to boost productivity and operational consistency
Secure Agentic AI systems with Koenig Original governance models to ensure compliance and data protection

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in Python programming, essential for developing advanced AI solutions with Koenig's Building Agentic AI Systems with Generative AI Models course
  • Experience with virtual environments, pip/conda, and Jupyter notebooks to efficiently manage AI project setups and dependencies
  • Fundamental knowledge of large language models (LLMs), prompt engineering, embeddings, and vector databases to build intelligent AI agents
  • Hands-on experience with APIs from OpenAI, Groq, Gemini, or local LLMs to integrate and deploy generative AI models effectively
  • Familiarity with LangChain, LangGraph, or AutoGen for designing and implementing complex agent workflows in AI systems
  • Practical experience with open-source LLMs like Llama, Mixtral, or Groq to customize and optimize AI models for specific tasks
Corporate Training
Get a Corporate Quote

Volume discounts · Dedicated account manager · Custom scheduling

Certification Exam

Everything you need to know about the Agentic AI: LangChain, RAG & Open-Source LLMs certification exam

Exam Details
Exam Name
Agentic AI: LangChain, RAG & Open-Source LLMs
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Unlimited attempts allowed for course participants
Let's Talk

Request for more information

Agentic AI: LangChain, RAG & Open-Source LLMs

We'll respond within 1 business day · No spam, ever.

Course Curriculum

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

1
Day 1– Mastering Agentic AI Fundamentals
Defining Agentic AI systems Transitioning from rule-based to Agentic AI Core characteristics of Agentic AI Comparing Generative AI vs Agentic AI Deploying real-world enterprise applications Navigating architectural limitations and challenges Implementing governance and ethical standards Ensuring safety guardrails and compliance
2
Day 2– Architecting Scalable Agentic Systems
Fundamentals of Reflex Agents Mastering ReAct: Reasoning plus Acting Designing Planner and Executor agents Optimizing Multi-Agent Systems collaboration Orchestrating the complete agent lifecycle Integrating tools, memory, and RAG Advanced hallucination mitigation techniques Building Critic agents for self-reflection
3
Day 3– Leveraging Agentic AI Frameworks
Essential LangChain development skills Orchestrating with LangGraph workflows Understanding AutoGen framework architecture Managing tools, memory, and functions Implementing robust control logic Addressing ethical considerations in frameworks Managing risks in agent design Utilizing reliable model consensus mechanisms
4
Day 4– Developing Chatbots with Agentic AI
Building with Llama-2 and Groq Managing complex multi-turn conversations Designing advanced agent memory personas Integrating UI via Gradio platforms Integrating UI via Streamlit interfaces Lab: Creating task-specific intelligent chatbots Customizing professional conversation styles Scaling enterprise chatbot use cases
5
Day 5– Advanced Multi-Agent AutoGen Systems
Mastering AutoGen architecture components Implementing effective ReAct patterns Facilitating seamless multi-agent collaboration Defining agent negotiation communication protocols Executing RAG with AutoGen functions Optimizing intent detection and routing Managing failures with fallback models Lab: Simulating multi-agent communication networks
6
Day 6– Deploying Agentic RAG for Enterprise
Refreshing classical RAG pipeline knowledge Understanding the Agentic RAG advantage Validating retrieval and synthesis processes Building dynamic decision-making workflows Applying advanced tool-driven reasoning Integrating Chroma and Pinecone databases Project: Building Research Analyst Assistants Implementing self-verification agent logic

What's Included in Your Training

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

Career Outcomes

82%

of Agentic AI: LangChain, RAG & Open-Source LLMs certified professionals report career advancement within 6 months

Salary Impact

+30%

Average salary increase reported after obtaining the Agentic AI: LangChain, RAG & Open-Source LLMs 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
  • Generative AI Engineer
  • Agentic AI Developer
  • AI Systems Architect
  • LLM Application Engineer
  • Autonomous AI Specialist
  • AI Solutions Consultant

Companies Hiring

5,000+
Microsoft Google Amazon Accenture Deloitte IBM NVIDIA JP Morgan Capgemini Goldman Sachs

and 5,000+ organizations worldwide seeking Agentic AI: LangChain, RAG & Open-Source LLMs 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

    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 Agentic AI: LangChain, RAG & Open-Source LLMs training course

Is the certification exam included in the course fee for Building Agentic AI Systems with Generative AI Models, and what is the exam cost if separate?
The certification exam is not included in the base course fee for Building Agentic AI Systems with Generative AI Models; an exam voucher is optional and priced separately. According to Koenig's official fee breakdown, the course fee is USD 2,000, with the exam voucher listed as an optional add-on, indicating a distinct cost for certification assessment.
What training formats does Koenig offer for Building Agentic AI Systems with Generative AI Models, and is there a Guaranteed-to-Run schedule?
Koenig offers live online 1-on-1, public, and self-paced Flexi training formats for Building Agentic AI Systems with Generative AI Models, with all public batches Guaranteed-to-Run. The live training duration is 48 hours, ensuring confirmed schedules regardless of enrollment numbers, allowing students to plan their professional development with total confidence.
How long is lab access provided for the Building Agentic AI Systems with Generative AI Models course, and what environment is used?
Lab access for Building Agentic AI Systems with Generative AI Models is available for 6 months from the date of delivery, with hands-on labs priced at USD 199+. The environment is accessed via secure cloud-based platforms compatible with laptops, tablets, and mobile devices, supporting practical exercises in advanced AI agent development and deployment.
What is Koenig's rescheduling and cancellation policy for the Building Agentic AI Systems with Generative AI Models course?
Koenig allows free rescheduling with 7+ days notice and charges a 50% cancellation fee if training is cancelled or rescheduled within 10 or fewer days of the start date. The same training session cannot be rescheduled more than once, as per the official Koenig Terms of Service policy.
What is the exam format, number of questions, and passing score for the Building Agentic AI Systems with Generative AI Models certification?
While the exact exam format for the Koenig Building Agentic AI Systems certification is proprietary, a comparable CertNexus Agentic AI Builder exam features 25 multiple-choice/multiple-response items, a passing score of 80% (20/25), and a duration of 30-60 minutes, suggesting a similar rigorous structure for this Koenig assessment.
How long is the Building Agentic AI Systems with Generative AI Models certification valid, and what is the renewal process?
The validity period and renewal process for the Koenig Original Building Agentic AI Systems with Generative AI Models certification are not explicitly stated; however, Koenig certifications typically follow industry standards, and renewal details are provided upon successful certification, as no specific validity period is currently published on official Koenig pages.
What post-training support does Koenig provide after completing Building Agentic AI Systems with Generative AI Models, such as mentor access or retake options?
Koenig provides 6 hours of free consultation with a certified trainer, access to Qubits self-assessment tools, and official course completion certificates post-training. While specific retake policies aren't detailed, Koenig's standard offerings include comprehensive post-training support and potential retake options for students pursuing this specialized certification.
What are the prerequisites or recommended experience needed for the Building Agentic AI Systems with Generative AI Models course?
Prerequisites for Building Agentic AI Systems with Generative AI Models include strong Python programming skills, familiarity with virtual environments and APIs, basic understanding of LLMs and vector databases, and optionally, Git, Docker, and cloud fundamentals, as clearly outlined in the official Koenig course content documentation.
What are the career prospects and salary impact for professionals completing the Building Agentic AI Systems with Generative AI Models course?
Professionals completing Building Agentic AI Systems with Generative AI Models can pursue high-impact roles like Agentic AI Engineer, with 2026 US salary bands ranging from $185k–$320k base, plus equity, reflecting the massive demand in AI-native companies and enterprise AI transformation teams globally.
How does Koenig's Building Agentic AI Systems with Generative AI Models course compare to self-study options in terms of structure and support?
Koenig's course offers structured 48-hour live training with Guaranteed-to-Run schedules, hands-on labs, and 6 hours of trainer consultation, surpassing self-study by providing expert-led instruction, interactive doubt resolution, and practical, real-world projects for mastering complex agentic AI system development.
100%

Happiness Guarantee

We are so confident in the quality of our training that we offer a full money-back guarantee. Not satisfied? Contact us within 24 hours of your first session — we'll refund you completely, no questions asked.

Full Refund

Within 24 hours

No Questions

Asked ever

Secure Payment

Encrypted checkout

PCI DSS

Compliant