Koenig Original Guaranteed-to-Run

AI Agents: Fundamentals and Advanced Techniques with LangGraph & AutoGen

The Building AI Agents with LLMs course by Koenig Original equips AI developers and machine learning engineers with the skills to design autonomous AI systems using open-source LLMs like Llama 2 and frameworks such as LangChain and AutoGen. It solves the growing industry challenge of building reliable, scalable AI agents amid rising demand—NVIDIA reports a 65% increase in job postings requiring agentic AI skills in 2024.

This Koenig Original training prepares learners for the NVIDIA Agentic AI LLMs Professional Certification, featuring Guaranteed-to-Run live sessions and 30-day lab access. Graduates gain hands-on expertise in multi-agent systems and Agentic RAG, positioning them to lead AI automation initiatives in enterprise environments.

40 Hours (5 Days)
Live Online / Classroom
7+ professionals trained

Training Formats & Pricing

1-on-1 USD 2,150
Dedicated instructor, your schedule Fastest
Public Batch USD 1,700
Group class, fixed schedule Most Popular
Self-Paced USD 199
Recorded sessions, learn anytime Best Value

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Course Overview

The Building AI Agents with LLMs course by Koenig Original is designed for AI developers, machine learning engineers, and software architects seeking to master the creation of intelligent, autonomous systems using Large Language Models. While no official certification exam is tied directly to this Koenig Original program, the curriculum aligns with emerging industry standards in Agentic AI and prepares professionals for advanced roles in AI solution design. With 80% of Fortune 500 companies now investing in AI agent technologies for automation and customer service, this course equips learners with in-demand skills to build responsive, self-governing AI systems. Participants should have foundational knowledge of Python, LLMs, and prompt engineering to fully benefit from the training.

Students engage with cutting-edge open-source tools and platforms including Llama 2, LangChain, AutoGPT, Hugging Face Transformers, MLflow, and Chroma vector databases, all within a hands-on lab environment using Docker and cloud-based development workspaces. The course emphasizes practical implementation, guiding learners through the development of autonomous AI agents capable of decision-making, tool calling, and multi-step reasoning. A key project involves building an Agentic RAG pipeline—integrating retrieval-augmented generation with self-verification logic—to create a research analyst assistant that dynamically retrieves, validates, and synthesizes information. Using LangGraph and AutoGen, participants also configure multi-agent systems that collaborate on complex tasks, simulating real-world enterprise automation workflows.

Graduates of the Building AI Agents with LLMs program gain expertise recognized by organizations deploying generative AI at scale, positioning them for roles such as AI Agent Developer, Autonomous Systems Engineer, or AI Solutions Architect—with average salaries ranging from $125,000 to $160,000 in North America. Koenig Original distinguishes itself with flexible learning formats, including 1-on-1 training and Guaranteed-to-Run schedules, ensuring learners can advance their skills on their terms. By mastering agentic architectures, ethical AI practices, and production-grade deployment techniques, participants are equipped to lead innovation in AI-driven automation and intelligent system design.

What You'll Learn

Design advanced AI agent architectures with Koenig Solutions' Building AI Agents with LLMs course, leveraging Koenig Original frameworks to create scalable, intelligent systems
Implement ReAct reasoning techniques using LangChain and AutoGen to enhance decision-making capabilities in AI agents
Build multi-agent systems with role-based collaboration to improve efficiency and task distribution in complex environments
Integrate vector databases into Agentic RAG pipelines to enable fast retrieval and contextual understanding
Deploy AI agents seamlessly with Koenig Original deployment workflows, ensuring reliable and scalable performance
Optimize and monitor LLM agents effectively using MLflow to track experiments, manage models, and improve accuracy

Skills You'll Gain

LLM Fundamentals LangChain Framework AutoGPT Integration Agent Workflow Orchestration ReAct Reasoning Multi-Agent Systems Agentic RAG LangGraph Architecture AutoGen Framework Llama 2 Deployment Groq API Integration Vector Database Integration MLflow Model Tracking Azure AI Deployment Stable-Baselines3 Hugging Face Transformers OpenCV Vision Processing

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in Python programming for AI development
  • Knowledge of virtual environments, pip/conda package managers, and notebook setups
  • Fundamental understanding of Large Language Models (LLMs), prompt engineering, embeddings, and vector databases
  • Experience working with APIs like OpenAI, Groq, Gemini, or local LLMs
  • Familiarity with ReAct, Reflex, and Planning agent architectures
  • Practical experience with frameworks such as LangChain, LangGraph, or AutoGen
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Certification Exam

Everything you need to know about the AI Agents: Fundamentals and Advanced Techniques with LangGraph & AutoGen certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Unlimited attempts allowed for project submission and review
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AI Agents: Fundamentals and Advanced Techniques with LangGraph & AutoGen

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Course Curriculum

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

1
Day 1– Mastering Agentic AI Fundamentals
Defining Agentic AI systems Evolution: Rule-based to Generative AI Core characteristics of Agentic AI Comparing Generative and Agentic AI Enterprise-grade real-world use cases Managing hallucinations and tool reliability Governance, security, and access control Building enterprise safety guardrails
2
Day 2– Architecting Scalable Agentic Systems
Implementing Reflex Agent patterns ReAct: Integrating Reasoning and Acting Planning Agents: Planner-Executor models Designing collaborative Multi-Agent Systems Orchestrating agent lifecycles and workflows Advanced solution architecture blueprints Optimizing RAG, memory, and tools Proven hallucination mitigation techniques
3
Day 3– Advanced Agentic Frameworks Training
Core LangChain development fundamentals Graph-based orchestration with LangGraph State management in complex workflows Mastering memory and function calling Logic control in multi-step agent chains Self-reflection and Critic agent design Verification agents and model consensus Managing ethical risks and compliance
4
Day 4– Deploying Chatbots with Koenig Solutions
Leveraging Llama-3.1, Groq, and Mixtral Managing multi-turn conversational flows Designing agent memory and personas Customizing professional conversation styles UI integration via Gradio and Streamlit Cloud-native deployment on AWS Bedrock and Azure AI Advanced intent detection and routing Deploying enterprise-ready AI chatbots
5
Day 5– Building AI Agents with LLMs: AutoGen
AutoGen architecture and advanced multi-agent patterns Implementing robust ReAct patterns at scale Facilitating agent collaboration and negotiation RAG integration and function calling Automated task delegation and routing Failure handling and fallback strategies Capstone Project: Synthesizing frameworks into an end-to-end agent Final project review and deployment strategy

What's Included in Your Training

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

Career Outcomes

82%

of AI Agents: Fundamentals and Advanced Techniques with LangGraph & AutoGen certified professionals report career advancement within 6 months

Salary Impact

+30%

Average salary increase reported after obtaining the AI Agents: Fundamentals and Advanced Techniques with LangGraph & AutoGen 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
  • LLM Developer
  • AI Agent Specialist
  • Generative AI Engineer
  • Machine Learning Architect
  • AI Solutions Architect

Companies Hiring

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

and 5,000+ organizations worldwide seeking AI Agents: Fundamentals and Advanced Techniques with LangGraph & AutoGen 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.

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  • ★★★★★

    “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.

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    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 AI Agents: Fundamentals and Advanced Techniques with LangGraph & AutoGen training course

Is the certification exam included in the course fee for Building AI Agents with LLMs, and what is the exam cost if separate?
The certification exam is not included in the Building AI Agents with LLMs course fee. The optional exam voucher from Koenig Original costs approximately $900 USD. You must purchase this voucher separately to attempt the certification. Prices vary by region and currency. You can conveniently add this voucher during your initial course enrollment process.
What training formats are available for Building AI Agents with LLMs, and does Koenig offer Guaranteed-to-Run scheduling?
Koenig Original offers Building AI Agents with LLMs via live online 1-on-1, public instructor-led, and self-paced Flexi formats. We provide Guaranteed-to-Run (GTR) scheduling for all public batches. This ensures your training proceeds as planned regardless of enrollment numbers. You can book with total confidence, knowing your session will never be canceled due to low attendance.
How long is lab access provided for Building AI Agents with LLMs, and what type of environment is used?
You receive 6 months of cloud-based lab access for Building AI Agents with LLMs from the delivery date. These labs are compatible with laptops, tablets, or smart TVs. They support practical mastery of LangChain, AutoGen, and vector databases. Note that these labs are purchased separately and are not included in the base Flexi video package.
What is Koenig's rescheduling and cancellation policy for the Building AI Agents with LLMs course?
Koenig Original allows free rescheduling for Building AI Agents with LLMs with reasonable notice. We move you to the next available Guaranteed-to-Run batch at no cost. Cancellations within 10 days of the start incur a 50% fee. You may reschedule a course only once, and refunds remain claimable for one year following your payment date.
What is the exam format, number of questions, passing score, and time limit for the Building AI Agents with LLMs certification?
The Building AI Agents with LLMs certification exam features 25 multiple-choice and multiple-response questions. You must achieve an 80% passing score (20 of 25 correct). The exam lasts 30 to 60 minutes and is hosted on the CHOICE platform. We provide one complimentary retake if you do not pass on your first attempt.
How long is the Building AI Agents with LLMs certification valid, and what is the renewal process and cost?
Your Building AI Agents with LLMs certification remains valid for two years. To maintain your credential, you must complete a refresher module and pass an updated assessment. Renewal fees are typically $150 USD. Koenig Original provides access to all updated course materials to ensure you are fully prepared for the renewal assessment process.
What post-training support does Koenig offer after completing the Building AI Agents with LLMs course?
After your Building AI Agents with LLMs training, Koenig Original provides 6 hours of expert trainer consultation. You gain 6 months of video access for revision, Qubits for self-assessment, and a formal course completion certificate. We also include free upgrades to new course versions and provide clear eligibility paths for exam retake options.
What are the prerequisites or prior experience needed for the Building AI Agents with LLMs course?
To succeed in Building AI Agents with LLMs, you need strong Python skills and experience with virtual environments like pip or conda. You should understand LLMs, prompt engineering, and vector databases. Experience with OpenAI, Groq, or Gemini APIs is required. Knowledge of Git, Docker, and cloud fundamentals is highly recommended to maximize your learning outcomes.
What is the expected salary impact or career progression after completing the Building AI Agents with LLMs course?
Completing Building AI Agents with LLMs prepares you for roles like AI Agent Engineer or Agentic AI Architect. Median base salaries hit $133,000 in 2026, with senior roles reaching $250,000–$350,000. Professionals skilled in multi-agent orchestration often command 25% higher compensation, particularly within the competitive finance, defense, and high-growth AI-native startup sectors.
How does Koenig's Building AI Agents with LLMs training compare to self-study in terms of effectiveness and outcomes?
Koenig Original training for Building AI Agents with LLMs offers structured, expert-led instruction that significantly outperforms self-study. You gain hands-on labs, real-world projects, and trainer feedback, which boosts retention and job readiness. Self-study often leads to critical knowledge gaps in complex areas like agent orchestration and RAG, whereas our guided workflows ensure certification success.
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