Koenig Original Guaranteed-to-Run

Agentic AI with LLMs

The Agentic AI with LLMs course by Koenig Original equips AI developers and machine learning engineers with advanced skills to design autonomous, decision-making AI agents using Large Language Models—solving the growing industry challenge of building scalable, real-world AI systems. With 96 professionals already trained, this program delivers hands-on mastery in ReAct patterns, multi-agent collaboration, and LangChain/AutoGen frameworks for production-grade AI solutions.

Preparation for the Koenig-certified Agentic AI Practitioner credential is integrated into the curriculum, enhanced by Guaranteed-to-Run live sessions and 30-day lab access. Learners gain the expertise to deploy intelligent, task-automating agents in enterprise environments, positioning them at the forefront of the $41.1B generative AI market growth.

16 Hours (2 Days)
Live Online / Classroom
96+ 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
Recorded sessions, learn anytime Best Value

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Course Overview

The Agentic AI with LLMs course by Koenig Original is designed for AI developers, machine learning engineers, and data scientists aiming to master the next frontier of artificial intelligence—autonomous, decision-making agents powered by Large Language Models (LLMs). This comprehensive program prepares learners for advanced implementation of agentic systems, focusing on real-world applications in enterprise automation, intelligent chatbots, and multi-agent collaboration. With 96 professionals already trained and growing industry demand—70% of enterprises now exploring agentic workflows for process automation—this course equips participants with cutting-edge skills aligned with modern AI deployment strategies. Ideal for those with Python proficiency and foundational LLM knowledge, the curriculum bridges generative AI and autonomous system design, setting a new standard in AI-driven innovation.

Participants gain hands-on experience with industry-standard tools including LangChain, LangGraph, AutoGen, Chroma, Pinecone, and Weaviate, building production-grade AI agents through structured labs in a cloud-based environment. The course includes practical lab modules where students configure multi-agent systems with role-based collaboration, implement ReAct (Reasoning and Acting) frameworks, and develop Agentic Retrieval-Augmented Generation (RAG) pipelines with dynamic retrieval and self-verification logic. Using platforms like Groq, Llama, and Mixtral, learners complete a capstone project building a Research Analyst Assistant that autonomously retrieves, validates, and synthesizes information. These labs, accessible via Koenig’s interactive learning environment with Qubits for self-assessment, ensure mastery of agent lifecycle orchestration, tool integration, and enterprise-grade deployment workflows.

The Agentic AI with LLMs training by Koenig Original not only prepares candidates for emerging AI engineering roles but also aligns with industry-recognized practices in Responsible AI and enterprise governance. Graduates report career advancements with average salary increases of up to 35%, particularly in roles such as AI Solutions Architect and Autonomous Systems Engineer. A key differentiator is Koenig’s Guaranteed-to-Run training model, ensuring learners gain access to live, instructor-led sessions with expert AI practitioners, along with official courseware and flexible learning paths. By the end of the program, participants are equipped to design intelligent, self-correcting agent systems that drive innovation, positioning them at the forefront of the AI revolution in enterprise and research environments.

What You'll Learn

Design autonomous agent architectures using industry-standard frameworks like LangChain and CrewAI, utilizing Koenig's methodology to enhance decision-making capabilities.
Implement ReAct agents with reasoning and tool-calling capabilities in Koenig labs, reducing task latency by up to 30% through smarter, adaptable workflows.
Orchestrate multi-agent collaboration using AutoGen and LangGraph, improving system coordination and operational efficiency by 25%.
Build Agentic RAG pipelines with Pinecone and self-verification mechanisms, achieving 95% accuracy in context-aware information retrieval.
Develop task-specific chatbots using OpenAI and Anthropic models with advanced memory management, delivering tailored solutions with 40% improved context retention.
Apply Koenig's governance models for safety, ethics, and hallucination mitigation, ensuring responsible deployment with a 50% reduction in model-generated errors.

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in Python programming, essential for developing and customizing Agentic AI with LLMs solutions from Koenig Original
  • Experience with virtual environments, pip/conda, and Jupyter notebooks to streamline AI project workflows
  • Fundamental knowledge of Large Language Models (LLMs), prompt engineering, embeddings, and vector databases to build effective AI applications
  • Hands-on experience with APIs such as OpenAI, Groq, Gemini, or local LLMs to integrate advanced AI models
  • Familiarity with frameworks like LangChain, LangGraph, or AutoGen for orchestrating AI agents efficiently
  • Understanding of Retrieval-Augmented Generation (RAG) pipelines and vector database integrations (e.g., Chroma, Pinecone, Weaviate) to enhance AI capabilities
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Certification Exam

Everything you need to know about the Agentic AI with LLMs certification exam

Exam Details
Exam Name
Agentic AI with LLMs
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Unlimited attempts allowed
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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 with LLMs Evolution: Rule-based to Generative to Agentic Core characteristics of Agentic AI systems Comparing Generative AI vs Agentic AI models Enterprise use cases and Koenig industry applications Managing hallucinations and prompt dependencies Data security and strict access controls Implementing Responsible AI and safety guardrails
2
Day 2– Architecting Scalable Agentic AI Systems
Designing efficient Reflex Agents Implementing ReAct (Reasoning and Acting) patterns Building Planning Agents with Planner-Executor logic Orchestrating Multi-Agent Systems collaboration Managing agent lifecycles and complex workflows Standardized Agentic AI solution architecture Advanced hallucination mitigation techniques Deploying Critic agents for self-reflection
3
Day 3– Leveraging Agentic AI Frameworks
Core LangChain fundamentals for developers Introduction to LangGraph for stateful agents Mastering AutoGen framework architecture Integrating tools, memory, and function calling Optimizing control logic in agent systems Addressing ethical considerations and AI risks Key building blocks of the AutoGen ecosystem Practical ReAct pattern implementation strategies
4
Day 4– Developing Advanced Multi-Agent Systems
Utilizing Llama-2, Groq, and Mixtral models Advanced multi-turn conversation management Configuring agent memory, persona, and style UI integration with Gradio and Streamlit Hands-On Lab: Building task-specific chatbots Facilitating multi-agent collaboration and negotiation Precision intent detection and agent routing Robust failure handling and fallback modeling
5
Day 5– Agentic RAG and Responsible AI Deployment
Refining classical RAG pipeline performance Defining Agentic RAG for dynamic intelligence Dynamic decision-making in RAG architectures Tool-driven reasoning and automated self-checking Vector DB integration with Chroma and Pinecone Project: Building a Research Analyst Assistant Proactive bias detection and mitigation Defending against prompt injection and cyber-threats

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 with LLMs certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Agentic AI with 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
  • AI Agent Engineer
  • LLM Solutions Architect
  • Generative AI Developer
  • Autonomous AI Specialist
  • Agentic Systems Engineer
  • AI Workflow Automation Lead

Companies Hiring

5,000+
Google Microsoft OpenAI Amazon Accenture Deloitte JP Morgan IBM Capgemini Salesforce

and 5,000+ organizations worldwide seeking Agentic AI with 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 with LLMs training course

Is the certification exam included in the Agentic AI with LLMs course fee, and what is the cost if separate?
The certification exam is not included in the Agentic AI with LLMs course fee; it is optional and priced separately at $200. Participants can purchase the exam voucher as an add-on during enrollment, with no mandatory exam requirement to complete the Koenig Original training.
What training formats are available for the Agentic AI with LLMs course, and does Koenig offer Guaranteed-to-Run scheduling?
Koenig offers live online instructor-led, classroom, and self-paced Flexi training for Agentic AI with LLMs, all available as Guaranteed-to-Run sessions. This ensures that enrolled participants receive the training on scheduled dates without cancellations, regardless of cohort size.
How long is lab access provided for the Agentic AI with LLMs course, and what environment is used?
Lab access is provided for 6 months from the date of delivery via a cloud-based sandbox environment. The labs are integrated with hands-on exercises using LangChain, LangGraph, and AutoGen frameworks, accessible through a browser with no local setup required.
What is Koenig's rescheduling and cancellation policy for the Agentic AI with LLMs course?
Participants can reschedule the Agentic AI with LLMs course with no fees if done at least two business days in advance. Cancellations within two business days may incur charges, but Koenig allows one free reschedule per registration to accommodate unforeseen changes.
What is the format and difficulty level of the Agentic AI with LLMs certification exam?
The certification exam consists of 60–70 scenario-based multiple-choice and multiple-select questions, to be completed in 120 minutes. It is professionally proctored online and tests real-world agent design, requiring strong experience in LLMs, frameworks, and deployment workflows.
How long is the Agentic AI with LLMs certification valid, and what is the renewal process and cost?
The Agentic AI with LLMs certification is valid for two years from issuance. Renewal requires retaking the same $200 exam, with no continuing education credits accepted, ensuring candidates stay updated with evolving agentic AI technologies and practices.
What post-training support does Koenig provide after completing the Agentic AI with LLMs course?
Koenig provides 6 hours of free consultation with trainers, access to Qubits self-assessment tool, and doubt-clearing sessions upon request. Support is available for 6 months post-completion, with email assistance via flexi@koenig-solutions.com for technical queries.
What are the prerequisites or prior experience needed to enroll in the Agentic AI with LLMs course?
Participants must have strong Python programming skills, familiarity with APIs (OpenAI/Groq/Gemini), and basic knowledge of LLMs, prompt engineering, and vector databases. Experience with virtual environments, conda/pip, and optional Docker or cloud fundamentals is also required for hands-on labs.
What salary increase or career advancement can I expect after completing the Agentic AI with LLMs course?
Graduates of the Agentic AI with LLMs course report average salary increases from $95,000 to $125,000 for roles like AI Agent Developer or LLM Engineer. The course enhances job readiness for positions in generative AI, with 87% of learners securing relevant roles within six months.
How does instructor-led training for Agentic AI with LLMs compare to self-study in terms of pass rates and outcomes?
Instructor-led training yields higher success rates compared to self-study, with Koenig noting that live participants demonstrate better retention and application. While pass rates aren't formally tracked, live training includes structured labs, mentorship, and real-time feedback that self-paced learners must seek separately.
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