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We're here to help you find itBuild production-ready generative AI applications using Amazon Bedrock, Knowledge Bases, and Flows. Learn from AWS-certified trainers through hands-on labs and real-world projects to earn the AWS Certified Generative AI Developer - Professional (AIP-C01) certification.
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AWS Generative AI is a suite of cloud-based services and tools from Amazon Web Services that enables organizations to build, train, and deploy generative artificial intelligence applications using foundation models and large language models. It sits within the broader AWS AI/ML stack, providing scalable infrastructure and managed services to develop custom AI solutions securely and efficiently. Key components include Amazon Bedrock, a fully managed service to access and fine-tune foundation models for text, images, and embeddings; Amazon SageMaker AI, which supports building, training, and deploying custom foundation models at scale; Amazon Nova, a new generation of high-performance foundation models optimized for intelligence and cost-efficiency; Amazon Q, an AI-powered assistant for developers and business users; and purpose-built AI Infrastructure with AWS Trainium and Inferentia chips for high-speed training and inference. This technology is for developers, data scientists, and enterprise architects who need secure, scalable, and responsible AI tools to create custom generative applications, integrate large language models into workflows, and drive innovation using their own data and use cases.
AWS Core Services
Use Amazon EC2, S3, Lambda, and Bedrock for basic workloads
IAM Management
Configure users, roles, and policies using AWS Identity and Access Management
Networking Fundamentals
Implement VPCs, subnets, and security groups in AWS environments
Security Best Practices
Apply AWS shared responsibility model and secure resource access
Infrastructure as Code
Deploy resources using AWS CloudFormation or similar IaC tools
AI/ML Concepts
Explain foundation models, prompt engineering, and RAG architectures
The building blocks every AWS Generative AI solution is made of
See what your official AWS Generative AI certification looks like. Download a sample — then let our advisors map the fastest path to earning the real one.
AIF-C01AWS Certified AI Practitioner
DEA-C01AWS Certified Data Engineer - Associate
DVA-C02AWS Certified Developer - Associate
MLS-C01AWS Certified Machine Learning - Specialty
SAA-C03AWS Certified Solutions Architect - Associate
MLS-C01AWS Certified Machine Learning - Specialty
Official credential badges — shareable on LinkedIn
Four formats. One quality standard. Every option comes with the same expert instructors, official courseware, and money-back guarantee.
Every factor that determines whether you actually pass your AWS Generative AI exam — rated across every training format available.
| Criteria | Koenig | ALP Provider | Legacy Provider | Self-Paced Platform | Free Platform |
|---|---|---|---|---|---|
| Trainer Expertise and Credentials | |||||
| AWS Authorized Instructor (AAI) | ✘ | ✘ | ✘ | ||
| Live Instructor-Led Delivery | ✘ | Partial | |||
| 1-on-1 Private Training | ✘ | ✘ | ✘ | ||
| Official AWS Authorization | |||||
| Official AWS ALP Status (Note: ALP is an AWS Authorized Learning Partner; Legacy is non-authorized) | ✘ | ✘ | ✘ | ||
| AWS Official Courseware | ✘ | Partial | |||
| AWS Training Credits Accepted | ✘ | ✘ | ✘ | ||
| Flexibility and Global Access | |||||
| Any-Day/Flexi Start | ✘ | ||||
| On-Site or Fly-Me Trainer | ✘ | ✘ | ✘ | ||
| Global Delivery Reach | Partial | ||||
| Results and Proven Trust | |||||
| Average Exam Pass Rate: 95%+ | ✘ | ✘ | ✘ | ✘ | |
| Entry Price (Fundamentals) | ~$745 · best value | ~$1,500+ | $15-30/mo | Free | Free |
| Verified Learner Reviews | 18,400+ · 4.9★ | Limited | N/A | N/A | N/A |
Data sourced from public pricing pages and review platforms. Accurate as of March 2026. Partial = available in select regions only.
Verified reviews from learners certified on Azure, AI, Security, and more.
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