FAST-12

AI Practitioner Certification Prep

20 hours · 5 live sessions × 4h · Wadood Chaudhary
Resources · Labs, projects and reading · Lesson 34 of 37

Reading list

TEXT · 5 MIN

FAST-12 Reading List: AI Practitioner Certification Prep (AWS Certified AI Practitioner, AIF-C01)

Provider: 7formations | Course: FAST-12 | Instructor: Wadood Chaudhary | Links verified by fetch or search as of Oct 2026

The exam guide is the single most important reading: AWS writes the exam from its task statements. Read it first, then use the AWS documentation pages below for the services and concepts each session covers. Exam guide version 1.2 was published October 29, 2026; AWS publishes guide updates about a month before they appear on the exam, so check the revisions page before you book.

How to use. Required readings take 20 to 45 minutes per session and are done before (or right after) the session they support. Optional readings go deeper. 'Living page' means the publisher updates it continuously; read the current version. Reading times are estimates for the parts that matter to this course, not the whole document.


Session 1: AI and ML fundamentals (Domain 1)

Required

Optional


Session 2: Generative AI fundamentals (Domain 2)

Required

  • What is Generative AI?
    Publisher: Amazon Web Services | Date: Living page | Reading time: about 15 min
    URL: https://aws.amazon.com/what-is/generative-ai/
    Why read: AWS's explainer on generative AI: foundation models, transformers, and use cases.

Optional

  • Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile, NIST AI 600-1
    Publisher: NIST | Date: July 2024 | Reading time: about 20 min
    URL: https://nvlpubs.nist.gov/nistpubs/ai/NIST.AI.600-1.pdf
    Why read: NIST Generative AI Profile: a vendor-neutral list of generative-AI risks, useful context for Domains 2 and 4.

  • Why language models hallucinate
    Publisher: OpenAI | Date: September 5, 2025 | Reading time: about 10 min
    URL: https://openai.com/index/why-language-models-hallucinate/
    Why read: Why language models hallucinate, from a model developer's perspective.


Session 3: Applications of foundation models (Domain 3)

Required

Optional


Session 4: Responsible AI, security, and governance (Domains 4 and 5)

Required

  • Responsible AI: Building AI responsibly
    Publisher: Amazon Web Services | Date: Living page | Reading time: about 10 min
    URL: https://aws.amazon.com/ai/responsible-ai/
    Why read: AWS's responsible-AI dimensions: fairness, explainability, privacy and security, safety, controllability, veracity and robustness, governance, transparency.

  • Detect and filter harmful content by using Amazon Bedrock Guardrails
    Publisher: AWS Documentation | Date: Current documentation | Reading time: about 15 min
    URL: https://docs.aws.amazon.com/bedrock/latest/userguide/guardrails.html
    Why read: Amazon Bedrock Guardrails: content filters, denied topics, sensitive-information filters, contextual grounding, and Automated Reasoning checks.

  • Shared Responsibility Model
    Publisher: Amazon Web Services | Date: Living page | Reading time: about 10 min
    URL: https://aws.amazon.com/compliance/shared-responsibility-model/
    Why read: The shared responsibility model: security of the cloud vs. security in the cloud.

Optional

  • Amazon SageMaker Model Cards
    Publisher: AWS Documentation | Date: Living page | Reading time: about 10 min
    URL: https://docs.aws.amazon.com/sagemaker/latest/dg/model-cards.html
    Why read: SageMaker Model Cards for documenting models.

  • Clarify availability change (SageMaker Clarify closed to new customers)
    Publisher: AWS Documentation | Date: 2026 | Reading time: about 8 min
    URL: https://docs.aws.amazon.com/sagemaker/latest/dg/clarify-availability-change.html
    Why read: Note that SageMaker Clarify closed to new customers in 2026; the page lists AWS's recommended replacements for bias metrics and explainability. Older study guides still mention Clarify.

  • OWASP GenAI LLM Top 10 2026
    Publisher: OWASP Gen AI Security Project | Date: Published August 4, 2026 | Reading time: about 15 min
    URL: https://genai.owasp.org/resource/owasp-genai-llm-top-10-2026/
    Why read: OWASP Top 10 for LLM Applications 2026: prompt injection, sensitive information disclosure, excessive agency, and more.

  • ISO/IEC 42001:2023 Information technology: Artificial intelligence: Management system
    Publisher: International Organization for Standardization (ISO) | Date: December 2023 | Reading time: about 5 min
    URL: https://www.iso.org/standard/42001
    Why read: ISO/IEC 42001, the AI management-system standard that appears in governance discussions.


Session 5: Exam readiness

Required


Link verification

Links verified by fetch or search as of Oct 2026. Links that could not be confirmed were dropped and are not listed. The instructor re-checks links before each cohort.

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