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  2. CA Foundation Course - Wikipedia

    en.wikipedia.org/wiki/CA_Foundation_Course

    The CA Foundation Course is the entrance level for the chartered accountancy course offered by the Institute of Chartered Accountants of India (ICAI). [1] Earlier, it was known as the Common Proficiency Test .

  3. The Institute of Chartered Accountants of India - Wikipedia

    en.wikipedia.org/wiki/The_Institute_of_Chartered...

    New CA Logo for exclusive use by Chartered Accountants. The motto of the ICAI is Ya Aeshu Suptaeshu Jagruti (Sanskrit), [15] which literally means "a person who is awake in those that sleep". It is a quotation from the Upanishads (Kathopanishad). It was given to the ICAI at the time of its formation in 1949 by Sri Aurobindo [16] as a part of ...

  4. California CPA Education Foundation - Wikipedia

    en.wikipedia.org/wiki/California_CPA_Education...

    The CalCPA Education Foundation provides continuing education and information to CPAs and other professionals. Founded in 1966, the CalCPA Education Foundation is a 501(c)(3) organization and a sister organization of The California Society of Certified Public Accountants (CalCPA) .

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  6. Talk:CA Foundation Course - Wikipedia

    en.wikipedia.org/wiki/Talk:CA_Foundation_Course

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us; Donate; Pages for logged out editors learn more

  7. Certified Management Accountants of Canada - Wikipedia

    en.wikipedia.org/wiki/Certified_Management...

    2007 - Incorporation of the CMA Canada Research Foundation; 2009 - Introduction of The National Standard for Public Accounting for Certified Management Accountants to govern the affairs of CMAs that have entered into public practice [10]

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  9. Foundation model - Wikipedia

    en.wikipedia.org/wiki/Foundation_model

    The Stanford Institute for Human-Centered Artificial Intelligence's (HAI) Center for Research on Foundation Models (CRFM) coined the term "foundation model" in August 2021 [16] to mean "any model that is trained on broad data (generally using self-supervision at scale) that can be adapted (e.g., fine-tuned) to a wide range of downstream tasks". [17]