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Building Advanced Agentic Systems on AWS

Building Advanced Agentic Systems on AWS teaches cloud engineers and AI developers how to design secure, scalable, production-ready multi-agent systems using Amazon Bedrock AgentCore. It solves the critical challenge of moving from AI prototypes to observable, compliant deployments. With 75% of enterprises now prioritizing agentic AI for automation, this course delivers the advanced patterns needed for real-world implementation.

This course prepares learners for the AWS Certified Generative AI Developer - Professional certification. Koenig Solutions provides official AWS-authorized courseware and Guaranteed-to-Run dates, ensuring structured, vendor-endorsed preparation. You’ll gain the expertise to lead AI initiatives that drive innovation and measurable business outcomes.

8 Hours (1 Days)
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68+ professionals trained

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1-on-1 USD 900
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Public Batch USD 750
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Course Overview

The Building Advanced Agentic Systems on AWS course by AWS is designed for experienced developers, AI engineers, and cloud architects who aim to master the design and deployment of production-grade multi-agent systems using Amazon Bedrock AgentCore. While no specific certification exam is directly tied to the course, it aligns closely with the skills assessed in the AWS Certified Generative AI Developer - Professional (AIP-C01) exam. This advanced training serves job roles such as GenAI Solution Architects, Senior AI Engineers, and Cloud AI Specialists who are responsible for transitioning agentic AI from proof-of-concept to scalable enterprise deployments. With 1 in 4 technology jobs now requiring AI skills, according to the Wall Street Journal, professionals equipped with hands-on agentic system expertise are in high demand across industries adopting generative AI at scale.

Participants engage with core AWS services including Amazon Bedrock AgentCore, Strands Agents, VPC for secure networking, IAM for identity management, CloudWatch for monitoring, and AWS Observability tools to build robust, auditable AI systems. The hands-on labs, conducted within the AWS Console, guide students through constructing a multi-agent financial analysis system that demonstrates real-world application—integrating secure API access, distributed tracing, and policy-based access controls. Learners configure agent-as-tool patterns, implement memory sharing, optimize context usage, and deploy agents within isolated VPC environments to meet enterprise security standards. A key project involves building a personal budget assistant and scaling it into a collaborative multi-agent framework capable of complex financial planning, illustrating how to apply the AWS Well-Architected Framework for production readiness.

This course prepares candidates for the AWS Certified Generative AI Developer - Professional credential, which validates advanced proficiency in deploying secure, cost-efficient generative AI solutions on AWS and is recognized by enterprises globally as a benchmark for AI implementation excellence. Certified professionals can see salary premiums of up to 47% compared to non-certified peers, particularly in technical and engineering roles. Koenig Solutions enhances this learning path with Guaranteed-to-Run batches, official AWS courseware, and access to expert instructors for personalized guidance. Upon completion, learners are positioned to lead AI innovation in their organizations, driving the development of intelligent, autonomous systems that deliver measurable business outcomes in production environments.

What You'll Learn

Design scalable multi-agent architectures using Amazon Bedrock Agents for advanced AI solutions
Implement effective context management strategies using Knowledge Bases for Amazon Bedrock to ensure reliable performance in production workloads
Configure VPC integration and AWS Lambda functions to securely deploy and execute AWS agentic systems in your cloud environment
Optimize resource utilization and reduce costs in agent-based systems on AWS using AWS Step Functions for workflow orchestration
Implement distributed tracing and monitoring using AWS CloudTrail and Amazon CloudWatch to improve visibility across AWS agents
Establish comprehensive audit trails and ensure compliance using AWS IAM and AWS CloudTrail for AWS agentic systems

Prerequisites

Recommended knowledge before taking this course
  • [
  • "Completion of the Agentic AI Foundations course",
  • "Proficiency in Python programming and the Boto3 SDK",
  • "Hands-on experience with Amazon Bedrock Agents and Knowledge Bases for Amazon Bedrock",
  • "Practical knowledge of AWS Lambda for serverless compute and Amazon DynamoDB for data storage",
  • "Understanding of securing agent deployments using IAM policies and VPC integration",
  • "Familiarity with monitoring and observability using Amazon CloudWatch and distributed tracing"
  • ]
  • Building Advanced Agentic Systems on AWS by AWS is designed for professionals aiming to build advanced, reliable agentic systems on AWS cloud infrastructure. Proficiency in designing multi-agent communication patterns, such as agent-as-tool and memory sharing, enhances your ability to develop scalable, intelligent systems. Familiarity with the Model Context Protocol for tool integration and context optimization helps optimize agent interactions. Completing this training equips you with the skills to innovate in AI deployment, reduce operational risks, and accelerate your career in cloud-based AI solutions.
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Certification Exam

Everything you need to know about the Building Advanced Agentic Systems on AWS certification exam

Exam Details
Exam Name
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Unlimited attempts for course completion
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What's Included in Your Training

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

Career Outcomes

78%

of Building Advanced Agentic Systems on AWS certified professionals report career advancement within 6 months

Salary Impact

+30%

Average salary increase reported after obtaining the Building Advanced Agentic Systems on AWS 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 Solutions Architect
  • Generative AI Engineer
  • Machine Learning Engineer
  • AWS AI Developer
  • Agentic Systems Architect
  • Cloud AI Specialist

Companies Hiring

5,000+
Amazon Microsoft Accenture Deloitte JPMorgan Chase Goldman Sachs Capital One Netflix Infosys Capgemini

and 5,000+ organizations worldwide seeking Building Advanced Agentic Systems on AWS 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

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  • ★★★★★

    “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

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  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

    Priya S.

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  • ★★★★★

    “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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  • ★★★★★

    “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 Building Advanced Agentic Systems on AWS training course

Is the certification exam included in the Building Advanced Agentic Systems on AWS course, and what is the exam fee if separate?
The Building Advanced Agentic Systems on AWS course does not include the certification exam. Candidates must register separately for the AWS Certified Generative AI Developer - Professional (AIP-C01) exam via Pearson VUE for $300 USD. This fee excludes taxes and regional variations, and no bundled pricing exists for this specific AWS training.
What training formats does Koenig offer for Building Advanced Agentic Systems on AWS, and is Guaranteed-to-Run scheduling available?
Koenig provides Building Advanced Agentic Systems on AWS via live online 1-on-1, virtual instructor-led, and classroom formats. Our Guaranteed-to-Run scheduling ensures your session proceeds as planned regardless of enrollment numbers. This guarantees global availability with dedicated AWS-authorized instructors, ensuring your learning journey remains uninterrupted and on schedule.
How long is lab access provided after completing Building Advanced Agentic Systems on AWS, and what environment is used?
You receive 30 days of post-course lab access within a secure, cloud-based AWS sandbox environment. This platform enables hands-on practice with Amazon Bedrock AgentCore, LangChain, and RAG frameworks without local configuration. This real-world AWS environment is designed to help you master the implementation of multi-agent systems in production-ready scenarios.
What is Koenig's rescheduling and cancellation policy for the Building Advanced Agentic Systems on AWS course?
Koenig offers free rescheduling for Building Advanced Agentic Systems on AWS with at least 7 days' notice; requests within 7 days may incur a small administrative fee. Cancellations are accepted up to 10 days before the start date for a full refund, providing you with maximum scheduling flexibility and peace of mind.
What is the format, number of questions, time limit, and passing score for the AWS Certified Generative AI Developer - Professional exam?
The AWS Certified Generative AI Developer - Professional exam features 75 multiple-choice or multiple-response questions. You have 180 minutes to complete the test and must achieve a scaled score of 750 out of 1,000. It rigorously evaluates your expertise in foundation model integration, agentic AI implementation, and operational optimization on AWS.
How long is the AWS Certified Generative AI Developer - Professional certification valid, and what is the renewal process and cost?
This AWS certification is valid for three years. Renewal requires retaking the current AIP-C01 exam for $300 USD or completing specific AWS Skill Builder activities to extend validity by one year. Active certification holders can leverage a 50% discount voucher directly from their AWS Certification Account to reduce renewal costs.
What post-training support does Koenig provide after completing the Building Advanced Agentic Systems on AWS course?
Koenig provides 90 days of post-training support, including expert mentor access, community forums, and session recordings. You also receive one free course retake within six months to reinforce your mastery of agentic AI concepts. This comprehensive support ensures you remain fully prepared for the professional-level AWS certification exam.
What prerequisites or prior experience are recommended for attending the Building Advanced Agentic Systems on AWS course?
To succeed in Building Advanced Agentic Systems on AWS, you should have foundational Agentic AI knowledge and experience with Amazon Bedrock AgentCore. Intermediate Python proficiency and familiarity with AWS compute, storage, and security services are required. These prerequisites ensure you can effectively engage with advanced production deployment topics.
What salary increase or career advancement can professionals expect after completing the Building Advanced Agentic Systems on AWS course?
Certified professionals report average salaries of $135,000–$165,000, a 20–30% increase over non-certified peers. Roles such as Agentic AI Engineer and AI Agent Architect command base salaries from $185,000 to $320,000 by 2026, according to industry job market data. This training is a strategic investment in your high-growth AI career.
How does instructor-led training for Building Advanced Agentic Systems on AWS compare to self-study in terms of certification success rates?
AWS data indicates that instructor-led training increases certification pass rates by 35% compared to self-study. Expert guidance on complex topics like prompt engineering, agent orchestration, and production deployment patterns makes the difference. Structured labs and real-time feedback significantly improve your readiness for the rigorous AIP-C01 exam.
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