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Unclaimed ProfilePreparing for the AWS Certified Generative AI Developer Professional (AIP-C01) exam requires more than just theoretical knowledge; it demands practical application and a deep familiarity with the exam format. This comprehensive mock exam course designed by Vladimir Raykov offers a robust preparation strategy with 275 highly relevant practice questions. It is specifically tailored for developers, cloud architects, and AI engineers aiming to master the complexities of designing and deploying generative AI solutions on the AWS cloud ecosystem. The practice tests delve into crucial exam domains, including securing Retrieval-Augmented Generation (RAG) architectures with Amazon Bedrock, orchestrating autonomous agents using AWS Step Functions, and fine-tuning model outputs through expert prompt engineering. Learners will also tackle scenarios focused on implementing safety guardrails to mitigate harmful content, managing data privacy, optimizing operational costs through smart caching strategies, and troubleshooting latency or hallucinations in production-grade AI systems. By simulating the actual exam environment, this course helps candidates build confidence, identify knowledge gaps, and successfully pass the AIP-C01 certification on their first attempt.
About the creator
Vladimir Raykov
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Vladimir Raykov is a multidisciplinary educator and digital strategist who operates at the intersection of marketing psychology and emerging artificial intelligence technologies. With a diverse educational portfolio that spans persuasive copywriting and cloud-hosted generative AI leadership, Vladimir empowers professionals to master both the human and technical drivers of modern business growth. His teaching philosophy centers on actionable frameworks, strategic thinking, and rigorous practical application. Instead of focusing solely on dry theory, Vladimir designs his curriculum to help students understand the underlying 'why'—whether that involves decoding human decision-making processes for marketing offers or structuring scalable generative AI solutions on cloud platforms…Show more
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Program Overview
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Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Design secure RAG architectures using Amazon Bedrock and vector stores.
- Master prompt engineering techniques to control model behavior.
- Build autonomous agents using Amazon Bedrock and AWS Step Functions.
- Integrate GenAI capabilities into applications using serverless tools.
- Implement safety guardrails to filter harmful inputs and outputs.
- Enforce data privacy and regulatory compliance for AI workloads.
- Optimize GenAI costs and performance using caching strategies.
- Evaluate mTroubleshoot latency and hallucinations in production AI systems.odel accuracy using automated metrics and datasets.
Best For
- Developers and cloud architects preparing specifically for the AIP-C01 certification exam.
- Engineers who have hands-on experience with Amazon Bedrock and need to validate their skills.
- IT professionals looking to test their knowledge of RAG architecture and AI security guardrails.
- Candidates who want to identify knowledge gaps through realistic, scenario-based practice questions.
Not For
- Absolute beginners who have never worked with AWS cloud services or core AI/ML concepts.
- Learners seeking introductory tutorials or foundational theory rather than exam-focused practice.
- Individuals looking for a deep-dive coding course instead of a certification preparation resource.
- Professionals not planning to take the official AWS Certified Generative AI Developer exam.
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