AWS Generative AI Developer: Foundations and Certification Prep
Build a solid foundation in generative AI on AWS, understand key services like Bedrock, and prepare for the professional developer certification exam through structured reading.
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In English
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About this course
Generative artificial intelligence is transforming how we build software, and AWS provides the robust infrastructure needed to deploy these applications at scale. Preparing for a professional-level certification requires a deep understanding of both foundational AI principles and cloud-native integration patterns. This text-based course guides you through the essential concepts, architectures, and services required to develop generative AI solutions on AWS. You will transition from understanding basic machine learning terminology to grasping how to configure secure, scalable, and efficient AI systems ready for production and certification. What you'll learn: Learn foundational generative AI terminology, large language model architectures, and tokenization basics; Understand how to leverage AWS Bedrock and AWS SageMaker to access, customize, and deploy foundation models; Apply prompt engineering techniques and implement Retrieval-Augmented Generation patterns to enhance model outputs; Configure security, privacy, and data protection measures using AWS identity and governance tools; Discover strategies for evaluating model performance and optimizing inference costs in cloud environments; Practice with written architectural scenarios designed to align with professional certification exam objectives. The course begins with essential definitions of neural networks and transformer models before moving into practical AWS service configurations. You will progress through step-by-step written explanations of deployment strategies, security guardrails, and exam-focused design patterns. This course is designed for software developers, cloud architects, and technology professionals who are new to generative AI on AWS and want to prepare for professional certification. No prior machine learning experience is required, though a basic familiarity with cloud concepts is helpful. Start reading today to build your expertise and take the next step toward your AWS generative AI certification.
What you'll get
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Certificate of completion
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Audio version included
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Lifetime access
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Phone or computer
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14-day refund
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Short & focused
2h 30m of practical content
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Frequently asked
What do I need to take this course? +
Just a phone or computer with internet. No installs, no special hardware.
How do I pay? +
By card via Stripe. We donโt store card details โ Stripe handles them securely.
Can I get a refund? +
Yes โ full refund within 14 days, no questions asked.
How long will I have access? +
Forever. Once you purchase, the course is yours to revisit anytime.
Will I get a certificate? +
Yes. On completion you'll receive a certificate you can add to your LinkedIn profile.
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