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Agentic Intelligence in Practice: Building Autonomous AI Systems

Agentic Intelligence in Practice: Building Autonomous AI Systems by Koenig Original equips AI developers, machine learning engineers, and automation architects with the skills to design self-directed AI agents that solve complex decision-making challenges in dynamic environments. With 78% of enterprises accelerating investment in autonomous systems (Gartner, 2024), this 40-hour live training bridges the gap between generative AI and real-world automation through hands-on labs in LangChain, AutoGen, and Agentic RAG.

This course prepares learners for advanced AI engineering roles by building expertise in multi-agent collaboration and production-grade agent deployment. Koenig’s Guaranteed-to-Run scheduling ensures timely access to 1-on-1 instructor-led sessions, empowering professionals to lead AI-driven innovation in enterprise automation and intelligent workflow design.

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

Training Formats & Pricing

1-on-1 USD 2,150
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Course Overview

Agentic Intelligence in Practice: Building Autonomous AI Systems by Koenig Original is a cutting-edge course designed for AI developers, machine learning engineers, and automation architects seeking to master the development of autonomous AI agents. While no formal certification exam is currently associated with this Koenig Original curriculum, the training directly prepares professionals for emerging roles in agentic AI system design and deployment. Targeted at individuals with strong Python programming skills and foundational knowledge of large language models (LLMs), this course equips learners with the expertise to build intelligent systems capable of reasoning, planning, and executing complex tasks. With Gartner projecting that 33% of enterprise software applications will incorporate agentic AI by 2028—up from less than 1% in 2024—the demand for skilled practitioners is rapidly accelerating across technology, healthcare, and financial services sectors.

Participants in Agentic Intelligence in Practice: Building Autonomous AI Systems engage with a comprehensive suite of industry-standard tools and frameworks, including LangChain, LangGraph, AutoGen, and open-source LLMs such as Llama, Mixtral, and Groq. The hands-on lab environment leverages Jupyter Notebooks and integrates with UI frameworks like Gradio and Streamlit, enabling students to build and deploy functional AI agents. Learners will configure multi-agent systems with role-based collaboration, implement ReAct (Reasoning + Acting) patterns, and construct Agentic Retrieval-Augmented Generation (RAG) pipelines using vector databases such as Chroma, Pinecone, and Weaviate. A key real-world project involves building a Research Analyst Assistant with self-verification capabilities, simulating enterprise-grade autonomous research workflows where agents dynamically retrieve, validate, and synthesize information.

By completing Agentic Intelligence in Practice: Building Autonomous AI Systems from Koenig Original, professionals position themselves for high-impact roles in a rapidly expanding field, with mid-level Agentic AI Engineers commanding total compensation between $190,000 and $275,000 according to 2026 hiring trends. This course not only builds technical mastery but also aligns with industry recognition of agentic AI as a transformative capability in enterprise automation. A key differentiator of Koenig’s training is its Guaranteed-to-Run (GTR) scheduling and availability of 1-on-1 live instruction, ensuring consistent access to expert-led, practical learning. Graduates will be equipped to design, deploy, and govern autonomous AI systems—positioning them at the forefront of the next wave of artificial intelligence innovation in production environments.

What You'll Learn

Design autonomous agent architectures with Koenig's Agentic AI framework, a leading approach in building scalable, intelligent systems
Implement ReAct reasoning and tool calling in AI agents to enhance decision-making and problem-solving capabilities
Build multi-agent collaboration systems with role-based orchestration for efficient teamwork in complex environments
Create Agentic RAG pipelines using vector databases and self-verification to improve data retrieval and accuracy
Develop task-specific chatbots with LangChain and AutoGen to deliver tailored user experiences
Apply Koenig's governance and safety practices to ensure responsible AI deployment and compliance

Skills You'll Gain

Agentic AI Systems LangChain Integration LangGraph Orchestration AutoGen Framework Multi-Agent Collaboration ReAct Agent Design Planning Agent Architecture Agentic RAG Pipelines Vector Database Integration Chroma DB Pinecone Weaviate PGVector LLM Function Calling Agent Memory Management Task-Oriented Chatbots Autonomous Research Agents

Prerequisites

Recommended knowledge before taking this course
  • Proficiency in Python programming, including functions, loops, and error handling, essential for developing autonomous AI systems in the Agentic Intelligence in Practice course by Koenig Original
  • Experience with virtual environments and package managers such as pip or conda, crucial for managing dependencies in building AI agents
  • Understanding of large language models (LLMs), prompt engineering, and embeddings, foundational for creating intelligent AI systems in this Koenig course
  • Hands-on experience with vector databases (e.g., Chroma, Pinecone, Weaviate) and retrieval workflows, vital for developing scalable autonomous AI solutions
  • Familiarity with API integration using OpenAI, Groq, Gemini, or local LLM endpoints, necessary for deploying AI agents efficiently
  • Practical knowledge of LangChain, LangGraph, or AutoGen for building agent workflows, enabling learners to design complex autonomous AI architectures
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Certification Exam

Everything you need to know about the Agentic Intelligence in Practice: Building Autonomous AI Systems certification exam

Exam Details
Exam Name
Agentic Intelligence in Practice: Building Autonomous AI Systems
Exam Cost
Included in course tuition
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Iterative project refinement based on industry standards including LangChain and AutoGPT frameworks
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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 Intelligence in Practice Evolution: From Rules to Autonomous Agents Generative AI vs Agentic AI Systems Core Traits of Koenig Agentic Systems Enterprise Use Cases for Autonomous AI Architectural Hurdles and System Challenges Managing Hallucinations and Prompt Dependency Governance: Security and Access Control
2
Day 2– Architecting Autonomous Agentic Systems
Reflex Agent Design and Implementation ReAct Agents: Reasoning Plus Acting Planning Agents: Planner-Executor Models Multi-Agent Systems and Collaboration Agent Lifecycle and Management Strategies Workflow Orchestration Design Patterns Solution Architecture: Tools and Memory Mitigating Hallucinations in Agentic AI
3
Day 3– Leveraging Agentic AI Frameworks
LangChain Fundamentals for AI Agents LangGraph for Graph-Based Orchestration AutoGen Framework Architecture Explained Tools, Memory, and Function Calling Control Logic in Agentic Workflows Ethical Framework Design Considerations Critic Agents and Self-Reflection Loops Model Consensus and Verification Agents
4
Day 4– Building Advanced Agentic Chatbots
Deploying Llama-2, Groq, Mixtral Models Multi-Turn Conversation Management Logic Agent Memory and Persona Customization Tailoring Unique Conversation Styles UI Integration: Gradio and Streamlit Developing Task-Specific AI Chatbots Lab: Building Autonomous Agentic Chatbots RAG Integration in Agentic Workflows
5
Day 5– Multi-Agent Systems and Agentic RAG
Agent Collaboration and Task Delegation Intent Detection and Agent Routing Enterprise Multi-Agent System Blueprints Reference Architecture for AI Systems Failure Handling and Fallback Models Classical vs Agentic RAG Pipelines Dynamic Decision-Making in RAG Systems Vector DB: Chroma and Pinecone Integration

What's Included in Your Training

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

Hands-On Lab

Live Lab Sandbox

Real Environment

Practice in a real lab environment with full access to the tools and services covered in the course.

30+ Guided Labs

30+

Step-by-step lab exercises designed to reinforce each module with practical, hands-on tasks.

Lab Manual Included

Full Guide

Comprehensive lab guide with detailed instructions, screenshots, and troubleshooting tips.

Post-Training Access

30 Days

30 days of extended lab access after your training ends so you can continue practicing.

Career Outcomes

82%

of Agentic Intelligence in Practice: Building Autonomous AI Systems certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the Agentic Intelligence in Practice: Building Autonomous AI Systems 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 Systems Engineer
  • Autonomous AI Developer
  • Agentic Intelligence Specialist
  • Machine Learning Architect
  • AI Solutions Architect

Companies Hiring

5,000+
Google Microsoft OpenAI Accenture Deloitte Amazon IBM NVIDIA Capgemini

and 5,000+ organizations worldwide seeking Agentic Intelligence in Practice: Building Autonomous AI Systems 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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    “AI-102 was daunting but the trainer broke it down perfectly. Real Azure OpenAI labs made the difference. Highly recommend.”

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    “Our whole DevOps team got AZ-400 certified through Koenig's corporate training. Smooth logistics and top-tier MCTs throughout.”

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    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
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