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Unclaimed ProfileThe Ultimate AWS Certified Generative AI Developer Professional course, designed by Sundog Education by Frank Kane, is a comprehensive training program engineered for cloud developers and AI professionals aiming to master generative AI on AWS. As organizations rapidly adopt large language models (LLMs), this course bridges the gap between theoretical AI concepts and production-grade AWS implementations. Students dive deep into Amazon Bedrock, exploring foundational models, prompt engineering, and fine-tuning. The curriculum places heavy emphasis on building scalable Retrieval-Augmented Generation (RAG) pipelines using embeddings and vector databases, alongside crafting sophisticated agentic workflows with Bedrock Agents and Flows. Security, model evaluation, and governance are thoroughly addressed via Bedrock Evaluations and safety controls. Beyond development, the course integrates DevOps and serverless principles, teaching learners how to orchestrate applications using AWS Lambda, Step Functions, and robust CI/CD pipelines. Complete with a realistic 75-question practice exam, this course equips learners with both the practical skills to deploy real-world GenAI solutions and the targeted knowledge required to successfully pass the official AWS certification.
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Sundog Education by Frank Kane
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Frank Kane is the founder of Sundog Education, an online learning platform dedicated to making highly technical concepts accessible to developers worldwide. With a rich background that includes over nine years as a senior engineer and manager at Amazon and IMDb, Frank brings real-world industry expertise directly into his curriculum. Over his career, he has designed and managed massive distributed systems, a foundation that informs his popular courses on System Design and Cloud Computing. As technology has shifted, Frank has transitioned his focus to modern artificial intelligence, machine learning, and generative AI frameworks. He specializes in translating cutting-edge developments, such…Show more
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Learning format
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What You'll Learn
- Master the skills required to pass the AWS Generative AI Developer Professional certification exam.
- Build production-ready generative AI apps on AWS using Bedrock, SageMaker, and serverless tools.
- Design and optimize RAG pipelines with embeddings, vector databases, and retrieval tuning.
- Create agentic AI workflows using Bedrock Agents, Flows, tools, and multi-agent patterns.
- Evaluate and improve model quality with Bedrock Evaluations, grounding checks, and safety controls.
- Automate and scale GenAI systems with Step Functions, Lambda, CI/CD, and AWS best practices.
Best For
- Experienced cloud developers preparing for the AWS Certified Generative AI Developer certification.
- Software engineers looking to integrate Amazon Bedrock and LLMs into scalable cloud architectures.
- Professionals who need to build production-grade RAG pipelines and agentic workflows on AWS.
- DevOps engineers seeking to master the lifecycle management, security, and deployment of Generative AI applications.
Not For
- Complete beginners with no prior experience in cloud computing or AWS fundamentals.
- Data scientists focused exclusively on mathematical model training rather than cloud-based application deployment.
- Individuals seeking a purely theoretical course on AI that does not involve practical AWS infrastructure or coding.
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