AWS

AWS SimuLearn: Get Started with Generative AI

In this AWS SimuLearn assignment, you review a real-world scenario, helping a fictional customer design a solution on AWS. After the design is completed, you build the proposed solution through structured, step-by-step guidance in a lab within a live AWS Management Console environment. You gain hands-on experience working with AWS services, developing job-ready competencies using the same tools technology professionals use to construct AWS solutions. 

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AWS SimuLearn: Get Started with Generative AI
  • Fundamental
  • 1 hour
  • Format Flexible learning
  • Category AWS
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In this AWS SimuLearn assignment, you review a real-world scenario, helping a fictional customer design a solution on AWS. After the design is completed, you build the proposed solution through structured, step-by-step guidance in a lab within a live AWS Management Console environment. You gain hands-on experience working with AWS services, developing job-ready competencies using the same tools technology professionals use to construct AWS solutions.

  • Engaging in AI-powered virtual customer conversations to elicit requirements, recommend generative AI approaches, and justify solutions using AWS services.
  • Building and visualizing basic generative AI architectures interactively (e.g., updating diagrams based on scenario discussions and model selections).
  • Applying foundational generative AI concepts, such as model selection, prompt basics, and deployment patterns via SageMaker or Bedrock integrations in simulated environments.
  • Practicing soft skills alongside technical ones, including clear communication, problem-solving under realistic constraints, and focusing on customer/business value in AI recommendations.
  • Gain hands-on familiarity with generative AI fundamentals and AWS services in a simulated real-world context, building confidence to recommend and implement entry-level gen AI solutions.
  • Understand how generative AI can address business challenges (e.g., content generation, chat assistants, or knowledge bases) while practicing structured solution design and architecture diagramming.
  • Complete the introductory simulation as a stepping stone to the broader AWS SimuLearn: Generative AI Practitioner plan, preparing for more advanced assignments and earning progress toward generative AI expertise validation.
  • 1-hour immersive AWS SimuLearn simulation experience with generative AI-powered virtual meetings, dynamic scenarios, interactive architecture building, and assessment of both technical and soft skills.
  • Foundational-level training in the Artificial Intelligence domain, serving as an entry point to the AWS SimuLearn: Generative AI Practitioner learning plan (includes multiple modules/assignments).
  • Hands-on practice in a safe, no-risk environment using AWS services like Amazon SageMaker for generative AI exploration and solution building.
  • Certificate of completion issued.
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