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Advanced Generative AI Development on AWS

The Advanced Generative AI Development on AWS course equips developers and technical professionals with skills to build production-ready generative AI solutions using AWS services like Amazon Bedrock, addressing the critical industry challenge of moving from AI prototypes to scalable, secure deployments. With 98% of Fortune 100 companies using AWS, demand for skilled developers is surging, and this course delivers hands-on expertise in foundation model integration, RAG, agentic AI, and AI governance.

This course prepares learners for the AWS Certified Generative AI Developer - Professional certification, validating advanced skills in building enterprise-grade AI applications. Koenig Solutions enhances learning with 30-day lab access for continuous practice, ensuring mastery of real-world implementation, monitoring, and optimization techniques required for production success.

24 Hours (3 Days)
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11+ professionals trained

Training Formats & Pricing

1-on-1 USD 1,900
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Course Overview

The Advanced Generative AI Development on AWS is an intensive, expert-led training program by AWS designed for software developers and technical professionals aiming to master production-grade generative AI solutions. This course prepares learners for the AWS Certified Generative AI Developer - Professional (AIP-C01) certification, a credential rapidly gaining recognition as enterprises adopt generative AI at scale. Targeted at roles such as AI Developers, Machine Learning Engineers, and Cloud Solutions Architects, the training addresses real-world implementation challenges. With 72% of enterprises actively investing in generative AI initiatives according to recent AWS adoption reports, this course equips professionals with the strategic and technical skills needed to lead AI-driven innovation within their organizations.

Participants engage with core AWS services including Amazon Bedrock, Amazon SageMaker AI, Amazon Nova, Amazon Titan, AWS Lambda, and Amazon OpenSearch Serverless, mastering their integration within enterprise architectures. The hands-on labs, conducted in the AWS Management Console, challenge students to build secure, scalable generative AI applications using Retrieval Augmented Generation (RAG), vector databases, and agentic AI systems. A key project involves developing a production-ready RAG application using Amazon Bedrock Knowledge Bases, where learners configure document processing pipelines, implement dynamic model selection, and apply token optimization strategies. These labs simulate real-world scenarios such as building customer support chatbots with enterprise knowledge bases and deploying AI agents with tool integration for automated workflows.

This course directly aligns with the AWS Certified Generative AI Developer - Professional certification, which validates advanced expertise in deploying secure, efficient, and responsible AI solutions on AWS. Certified professionals report average salary increases of 25% and are highly sought after, with AI developer roles commanding median salaries exceeding $150,000 in North America. Koenig Solutions enhances this learning journey with Guaranteed-to-Run batches, official AWS courseware, and optional 1-on-1 mentoring, ensuring personalized support. By mastering the full generative AI lifecycle—from foundation model evaluation to observability and governance—graduates are positioned to lead AI transformation, drive innovation, and deliver measurable business value in the rapidly evolving AI landscape.

What You'll Learn

Configure foundational models with AWS Bedrock for advanced generative AI development
Implement data pipelines for multi-modal inputs in AWS generative AI projects
Deploy vector databases using Amazon Bedrock Knowledge Bases to enhance AI capabilities
Design agentic AI systems with Amazon Bedrock Agents for autonomous decision-making
Secure generative AI applications with AWS Guardrails to ensure compliance and safety
Optimize performance and reduce costs in AWS generative AI workloads for maximum efficiency

Skills You'll Gain

Foundation Model Integration Amazon Bedrock Knowledge Bases RAG Implementation Vector Database Architecture Amazon Bedrock Agents Prompt Engineering Frameworks AI Safety Controls Content Filtering Token Efficiency Optimization Intelligent Caching Multi-modal Data Pipelines Dynamic Model Selection Resilient AI Systems Enterprise Prompt Governance AI Monitoring RAG Evaluation Cross-region Deployment

Prerequisites

Recommended knowledge before taking this course
  • AWS Technical Essentials or equivalent foundational AWS cloud experience is recommended to grasp the core cloud concepts essential for advanced generative AI development on AWS.
  • A foundational understanding of generative AI concepts and terminology, gained through Generative AI Essentials on AWS or similar courses, is crucial for mastering advanced generative AI development on AWS.
  • Intermediate to advanced proficiency in Python programming, including experience with frameworks like LangChain, is vital for developing sophisticated generative AI applications on AWS.
  • Hands-on experience with Amazon Bedrock, including prompt engineering, foundation models, and retrieval augmented generation (RAG), is essential for building state-of-the-art generative AI solutions on AWS.
  • Experience in building and deploying production-grade applications on AWS, utilizing compute, storage, networking, and security best practices, ensures reliable and scalable generative AI deployment.
  • Familiarity with vector databases and implementing data processing pipelines for generative AI workloads enhances the ability to manage large datasets effectively in AWS environments.
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Certification Exam

Everything you need to know about the Advanced Generative AI Development on AWS certification exam

Exam Details
Exam Name
Advanced Generative AI Development on AWS
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
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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

88%

of Advanced Generative AI Development on AWS certified professionals report career advancement within 6 months

Salary Impact

+32%

Average salary increase reported after obtaining the Advanced Generative AI Development 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
  • Generative AI Developer
  • AI Solutions Architect
  • Cloud AI Engineer
  • Machine Learning Engineer
  • AI Application Developer
  • AI DevOps Engineer

Companies Hiring

5,000+
Amazon Microsoft Google Cloud Accenture Deloitte Infosys JPMorgan Chase NVIDIA Wipro Capgemini

and 5,000+ organizations worldwide seeking Advanced Generative AI Development 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.

    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

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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 Advanced Generative AI Development on AWS training course

Is the certification exam included in the Advanced Generative AI Development on AWS course, and what is the exam cost?
The AWS certification exam is not included in the Advanced Generative AI Development on AWS course fee. You must purchase it separately for $300 USD per attempt. There is no limit on retakes, provided you observe a 14-day waiting period. Candidates schedule the AWS Certified Generative AI Developer - Professional (AIP-C01) exam via Pearson VUE, choosing between online proctoring or a local testing center.
What training formats are available for the Advanced Generative AI Development on AWS course?
Koenig offers flexible training for Advanced Generative AI Development on AWS, including live online 1-on-1 and group sessions with Guaranteed-to-Run scheduling. This 3-day program is delivered virtually to support global learners. We also provide classroom options based on regional demand, ensuring you receive real-time, hands-on guidance from AWS-authorized instructors to master complex generative AI architectures effectively.
How long is lab access provided, and what type of environment is used for the Advanced Generative AI Development on AWS course?
You receive 30 days of lab access starting from your course date, utilizing secure AWS-hosted cloud sandbox environments. These labs are fully integrated with Amazon Bedrock, Knowledge Bases, and Guardrails. This setup allows you to practice building RAG systems and agentic AI implementations immediately, without the need for local infrastructure setup or complex configurations.
What is Koenig's rescheduling and cancellation policy for the Advanced Generative AI Development on AWS course?
Koenig permits rescheduling at no extra cost if requested 7 days before your Advanced Generative AI Development on AWS start date. Cancellations incur a 15% administrative fee. Requests made within 7 days of the start date require a 20% rescheduling fee or forfeit the full amount. This policy ensures we maintain high-quality, Guaranteed-to-Run classes for all students.
What is the format, number of questions, passing score, and time limit for the AWS Certified Generative AI Developer - Professional exam?
The AWS Certified Generative AI Developer - Professional exam consists of 75 questions, including multiple choice and multiple response formats. You have 180 minutes to complete the test, with 65 questions scored and 10 unscored. A passing score is 750 out of 1,000. It rigorously tests your ability to integrate foundation models, manage AI security, and optimize generative AI development on AWS.
How long is the AWS Certified Generative AI Developer - Professional certification valid, and what is the renewal process and cost?
Your AWS certification remains valid for 3 years. You can renew it by passing the latest exam version or via AWS Skill Builder. Using your 50% discount voucher, the renewal exam costs $150. Alternatively, completing 700 Skill Builder points alongside two practical activities extends your certification validity by one year, keeping your expertise current with evolving AWS standards.
What post-training support does Koenig provide after completing the Advanced Generative AI Development on AWS course?
Koenig ensures your long-term success by providing 6 months of post-training support for Advanced Generative AI Development on AWS. This includes direct mentor access for technical questions, a free course retake within 12 months, and continued access to updated lab environments. You also gain exclusive entry to our community forum for peer networking and ongoing instructor guidance.
What are the prerequisites or recommended experience for the Advanced Generative AI Development on AWS course?
To succeed in Advanced Generative AI Development on AWS, we recommend 2+ years of experience building production applications on AWS and 1 year of hands-on generative AI implementation. Proficiency in AWS compute, storage, and IaC tools is essential. While not required, holding an AWS Certified AI Practitioner or ML Engineer - Associate certification provides a strong foundation.
What is the expected salary and career impact after earning the AWS Certified Generative AI Developer - Professional certification?
Earning the AWS Certified Generative AI Developer - Professional credential can lead to annual salaries between $130,000 and $180,000 in the U.S. This certification validates your skill in deploying production-grade GenAI systems. It significantly boosts your career prospects for high-demand roles like Generative AI Engineer or Cloud AI Architect within top-tier enterprises leveraging AWS technologies.
How does instructor-led training for Advanced Generative AI Development on AWS compare to self-study in terms of exam success and skill mastery?
Instructor-led training for Advanced Generative AI Development on AWS dramatically increases exam success rates compared to self-study. You benefit from structured learning, real-time troubleshooting, and expert mentorship on complex topics like RAG and agentic AI. This hands-on approach ensures you master AWS best practices, leading to faster deployment in production environments and higher confidence during your certification exam.
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