FAST-03

Prompt Engineering for the Workplace

6 hours · 3 live sessions × 2h · Wadood Chaudhary
Resources · Labs, projects and reading · Lesson 20 of 23

Reading list

TEXT · 4 MIN

FAST-03 Reading List: Prompt Engineering for the Workplace

Provider: 7formations | Course: FAST-03 | Instructor: Wadood Chaudhary | Links verified by fetch or search as of Oct 2026

Readings come mainly from the vendors' own prompting guides, which are free, current, and written for the tools trainees use, plus a small set of risk and data-protection sources. Vendor guides overlap; read the one for your employer's tool first.

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: A prompt is an assignment

Required

Optional


Session 2: Passes and critique

Required

  • Effective Prompts for AI: The Essentials
    Publisher: MIT Sloan Teaching & Learning Technologies | Date: Living page | Reading time: about 10 min
    URL: https://mitsloanedtech.mit.edu/ai/basics/effective-prompts/
    Why read: MIT Sloan's short guide to effective prompts, including iterating and refining rather than expecting one perfect prompt.

Optional

  • Plain language guide
    Publisher: Digital.gov (U.S. General Services Administration) | Date: Living page | Reading time: about 20 min
    URL: https://digital.gov/guides/plain-language
    Why read: Plain-language guidelines for pass 3: write for the reader, put the main point first.

  • Why language models hallucinate
    Publisher: OpenAI | Date: September 5, 2025 | Reading time: about 12 min
    URL: https://openai.com/index/why-language-models-hallucinate/
    Why read: OpenAI's explanation of why models guess rather than abstain. Useful context for why later passes can add 'helpful' facts.

  • When AI Gets It Wrong: Addressing AI Hallucinations and Bias
    Publisher: MIT Sloan Teaching & Learning Technologies | Date: Living page | Reading time: about 10 min
    URL: https://mitsloanedtech.mit.edu/ai/basics/addressing-ai-hallucinations-and-bias/
    Why read: Addressing AI hallucinations and bias; reinforces checking each pass.


Session 3: Quality gates and your library

Required

Optional

  • OWASP Top 10 for LLM Applications
    Publisher: OWASP Gen AI Security Project | Date: 2025 edition | Reading time: about 20 min
    URL: https://genai.owasp.org/llm-top-10/
    Why read: The OWASP Top 10 for LLM applications. Read 'Sensitive Information Disclosure' and 'Prompt Injection' for why pasted content and shared prompts need care.

  • Data, Privacy, and Security for Microsoft Copilot
    Publisher: Microsoft Learn | Date: Living page | Reading time: about 10 min
    URL: https://learn.microsoft.com/en-us/microsoft-365/copilot/microsoft-365-copilot-privacy
    Why read: How Microsoft Copilot handles prompts and data in work accounts. Check the equivalent page for your tool to understand what happens to what you paste.

  • Enterprise privacy at OpenAI
    Publisher: OpenAI | Date: Living page | Reading time: about 8 min
    URL: https://openai.com/enterprise-privacy/
    Why read: OpenAI's business data privacy page (ChatGPT Business and Enterprise). Compare it with the Copilot page.

  • Attorney General Advisory on the Application of the Commonwealth's Consumer Protection, Civil Rights, and Data Privacy Laws to Artificial Intelligence
    Publisher: Massachusetts Attorney General's Office | Date: April 16, 2024 | Reading time: about 15 min
    URL: https://www.mass.gov/doc/ago-ai-advisory-41624/download
    Why read: The Massachusetts Attorney General's April 2024 advisory: existing consumer-protection and data-security laws apply to AI. Context for 'the sender owns it.'


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.

Dropped during verification (not listed above):

  • Microsoft Learn module "Craft effective prompts for Microsoft 365 Copilot" (404)
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