What You'll Learn

  • Assess readiness for the AIP-C01 exam through realistic AWS Generative AI scenarios and detailed explanations.,Integrate foundation models using Amazon Bedrock
  • RAG
  • vector stores
  • knowledge bases
  • prompt engineering
  • and agentic AI.,Implement GenAI security
  • Responsible AI
  • governance
  • identity
  • compliance
  • and data protection using AWS services.,Evaluate
  • troubleshoot
  • monitor
  • and optimize GenAI applications for quality
  • latency
  • cost
  • reliability
  • and business value.

Requirements

  • Hands-on AWS experience
  • application development skills
  • and basic knowledge of AI/ML
  • generative AI
  • cloud security
  • and data services are recommended.

Description

Prepare for the AWS Certified Generative AI Engineer – Professional (AIP-C01) exam with six comprehensive practice tests containing 600 scenario-based questions.

This course is designed for AWS developers, cloud engineers, AI engineers, solution architects, application developers, and certification candidates who want to assess their knowledge before taking the AIP-C01 exam.

The practice exams cover the major skills required for designing, building, securing, and optimizing generative AI solutions on AWS. You will review how to select and integrate foundation models, compare model capabilities, evaluate latency and cost trade-offs, and choose the right AWS services for production GenAI workloads.

You will also practice data preparation and retrieval patterns used in modern generative AI systems. Topics include prompt engineering, prompt versioning, embeddings, vector stores, chunking strategies, metadata, hybrid retrieval, reranking, and retrieval-augmented generation using Amazon Bedrock Knowledge Bases and related AWS services.

Implementation topics cover agentic AI, workflow orchestration, tool use, Amazon Bedrock, AWS Lambda, Step Functions, API Gateway, event-driven integrations, streaming responses, infrastructure as code, and scalable production deployment patterns.

The course also focuses heavily on AI safety, security, and governance. You will review guardrails, prompt injection defense, IAM least privilege, private networking, logging, auditability, data protection, masking, redaction, provenance, compliance, and responsible AI evaluation.

Operational topics include monitoring latency, token usage, model failures, quality metrics, retrieval performance, cost optimization, caching, model routing, and production observability. Troubleshooting and validation topics include prompt testing, RAG evaluation, model comparison, regression testing, context window issues, and diagnosing inconsistent outputs.

Every question includes explanations for the correct answer and each incorrect option. These explanations help you understand why a solution is appropriate, distinguish between similar AWS services, and strengthen your real-world decision-making skills.

By completing all six practice exams, you can identify knowledge gaps, reinforce core AIP-C01 exam domains, and build confidence with 600 professional exam-style questions.

This course is an independent exam-preparation resource and is not affiliated with, sponsored by, or endorsed by Amazon Web Services.

Who this course is for:

  • AIP-C01 candidates
  • GenAI developers
  • AWS engineers
  • cloud architects
  • AI application developers
  • and professionals building production GenAI solutions.,AWS currently defines AIP-C01 around five domains: foundation model integration/data/compliance
  • implementation/integration
  • AI safety/security/governance
  • operational optimization
  • and testing/troubleshooting.
AWS Generative AI Developer Professional AIP-C01 Test Exams

Course Includes:

  • Price: FREE
  • Enrolled: 0 students
  • Language: English
  • Certificate: Yes
  • Difficulty: Beginner
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