Credits & Licences

HireKeyz Academy is built on open-source software and learning material from other authors. This page credits them and carries the licence notices their licences require.

HireKeyz content

The HireKeyz Academy app, the HireKeyz-authored courses (AI Essentials for HireKeyz, Applied AI for Recruiting, Applied AI for Sales, HR & Ops), chapter checks, practice questions, final exams and the certificate design are © HireKeyz Inc. All rights reserved.

Course material adapted from open-source authors

These lessons were copied into the Academy and adapted (formatting, chapter structure, quizzes). Every adapted lesson links back to its original and carries this credit.
A Whirlwind Tour of Python (Jake VanderPlas)
CC0-1.0 · imported from commit 6f1daf714fe5
Based on *A Whirlwind Tour of Python* by Jake VanderPlas (github.com/jakevdp/WhirlwindTourOfPython), released under CC0 1.0 (public domain dedication); credited with thanks. Adapted for HireKeyz Academy. Full licence: [Credits & Licences](/credits).
CC0 1.0 Universal

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AI Engineering from Scratch (core spine)
MIT · imported from commit 3f9715c62a3b
Based on AI Engineering from Scratch by Rohit Ghumare and contributors (MIT).
MIT License

Copyright (c) 2026 Rohit Ghumare

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
DAIR.AI - Prompt Engineering Guide
MIT · imported from commit 57673726396d
Based on *Prompt Engineering Guide* by DAIR.AI (github.com/dair-ai/Prompt-Engineering-Guide), MIT licence. Adapted for HireKeyz Academy. Full licence: [Credits & Licences](/credits).
MIT License

Copyright (c) 2022 DAIR.AI

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Hugging Face AI Agents Course
Apache-2.0 · imported from commit 3c469e773ec0
Based on *The Hugging Face Agents Course* by Hugging Face (github.com/huggingface/agents-course), Apache-2.0 licence. Adapted for HireKeyz Academy. Full licence: [Credits & Licences](/credits).
                                 Apache License
                           Version 2.0, January 2004
                        http://www.apache.org/licenses/

   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION

   1. Definitions.

      "License" shall mean the terms and conditions for use, reproduction,
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      of this License, Derivative Works shall not include works that remain
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      any Contribution intentionally submitted for inclusion in the Work
      by You to the Licensor shall be under the terms and conditions of
      this License, without any additional terms or conditions.
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      the terms of any separate license agreement you may have executed
      with Licensor regarding such Contributions.

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   7. Disclaimer of Warranty. Unless required by applicable law or
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      PARTICULAR PURPOSE. You are solely responsible for determining the
      appropriateness of using or redistributing the Work and assume any
      risks associated with Your exercise of permissions under this License.

   8. Limitation of Liability. In no event and under no legal theory,
      whether in tort (including negligence), contract, or otherwise,
      unless required by applicable law (such as deliberate and grossly
      negligent acts) or agreed to in writing, shall any Contributor be
      liable to You for damages, including any direct, indirect, special,
      incidental, or consequential damages of any character arising as a
      result of this License or out of the use or inability to use the
      Work (including but not limited to damages for loss of goodwill,
      work stoppage, computer failure or malfunction, or any and all
      other commercial damages or losses), even if such Contributor
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   9. Accepting Warranty or Additional Liability. While redistributing
      the Work or Derivative Works thereof, You may choose to offer,
      and charge a fee for, acceptance of support, warranty, indemnity,
      or other liability obligations and/or rights consistent with this
      License. However, in accepting such obligations, You may act only
      on Your own behalf and on Your sole responsibility, not on behalf
      of any other Contributor, and only if You agree to indemnify,
      defend, and hold each Contributor harmless for any liability
      incurred by, or claims asserted against, such Contributor by reason
      of your accepting any such warranty or additional liability.

   END OF TERMS AND CONDITIONS

   APPENDIX: How to apply the Apache License to your work.

      To apply the Apache License to your work, attach the following
      boilerplate notice, with the fields enclosed by brackets "[]"
      replaced with your own identifying information. (Don't include
      the brackets!)  The text should be enclosed in the appropriate
      comment syntax for the file format. We also recommend that a
      file or class name and description of purpose be included on the
      same "printed page" as the copyright notice for easier
      identification within third-party archives.

   Copyright [yyyy] [name of copyright owner]

   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

       http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
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Hugging Face Community Computer Vision Course
MIT · imported from commit 5a52b43037f7
Based on *Computer Vision Course* by the Hugging Face community (github.com/johko/computer-vision-course), MIT licence. Adapted for HireKeyz Academy. Full licence: [Credits & Licences](/credits).
MIT License

Copyright (c) 2023 Johannes Kolbe

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Hugging Face LLM Course (formerly NLP Course)
Apache-2.0 · imported from commit 8b893f0ede6c
Based on *The Hugging Face LLM Course* by Hugging Face (github.com/huggingface/course), Apache-2.0 licence. Adapted for HireKeyz Academy. Full licence: [Credits & Licences](/credits).
                                 Apache License
                           Version 2.0, January 2004
                        http://www.apache.org/licenses/

   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION

   1. Definitions.

      "License" shall mean the terms and conditions for use, reproduction,
      and distribution as defined by Sections 1 through 9 of this document.

      "Licensor" shall mean the copyright owner or entity authorized by
      the copyright owner that is granting the License.

      "Legal Entity" shall mean the union of the acting entity and all
      other entities that control, are controlled by, or are under common
      control with that entity. For the purposes of this definition,
      "control" means (i) the power, direct or indirect, to cause the
      direction or management of such entity, whether by contract or
      otherwise, or (ii) ownership of fifty percent (50%) or more of the
      outstanding shares, or (iii) beneficial ownership of such entity.

      "You" (or "Your") shall mean an individual or Legal Entity
      exercising permissions granted by this License.

      "Source" form shall mean the preferred form for making modifications,
      including but not limited to software source code, documentation
      source, and configuration files.

      "Object" form shall mean any form resulting from mechanical
      transformation or translation of a Source form, including but
      not limited to compiled object code, generated documentation,
      and conversions to other media types.

      "Work" shall mean the work of authorship, whether in Source or
      Object form, made available under the License, as indicated by a
      copyright notice that is included in or attached to the work
      (an example is provided in the Appendix below).

      "Derivative Works" shall mean any work, whether in Source or Object
      form, that is based on (or derived from) the Work and for which the
      editorial revisions, annotations, elaborations, or other modifications
      represent, as a whole, an original work of authorship. For the purposes
      of this License, Derivative Works shall not include works that remain
      separable from, or merely link (or bind by name) to the interfaces of,
      the Work and Derivative Works thereof.

      "Contribution" shall mean any work of authorship, including
      the original version of the Work and any modifications or additions
      to that Work or Derivative Works thereof, that is intentionally
      submitted to Licensor for inclusion in the Work by the copyright owner
      or by an individual or Legal Entity authorized to submit on behalf of
      the copyright owner. For the purposes of this definition, "submitted"
      means any form of electronic, verbal, or written communication sent
      to the Licensor or its representatives, including but not limited to
      communication on electronic mailing lists, source code control systems,
      and issue tracking systems that are managed by, or on behalf of, the
      Licensor for the purpose of discussing and improving the Work, but
      excluding communication that is conspicuously marked or otherwise
      designated in writing by the copyright owner as "Not a Contribution."

      "Contributor" shall mean Licensor and any individual or Legal Entity
      on behalf of whom a Contribution has been received by Licensor and
      subsequently incorporated within the Work.

   2. Grant of Copyright License. Subject to the terms and conditions of
      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      copyright license to reproduce, prepare Derivative Works of,
      publicly display, publicly perform, sublicense, and distribute the
      Work and such Derivative Works in Source or Object form.

   3. Grant of Patent License. Subject to the terms and conditions of
      this License, each Contributor hereby grants to You a perpetual,
      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
      (except as stated in this section) patent license to make, have made,
      use, offer to sell, sell, import, and otherwise transfer the Work,
      where such license applies only to those patent claims licensable
      by such Contributor that are necessarily infringed by their
      Contribution(s) alone or by combination of their Contribution(s)
      with the Work to which such Contribution(s) was submitted. If You
      institute patent litigation against any entity (including a
      cross-claim or counterclaim in a lawsuit) alleging that the Work
      or a Contribution incorporated within the Work constitutes direct
      or contributory patent infringement, then any patent licenses
      granted to You under this License for that Work shall terminate
      as of the date such litigation is filed.

   4. Redistribution. You may reproduce and distribute copies of the
      Work or Derivative Works thereof in any medium, with or without
      modifications, and in Source or Object form, provided that You
      meet the following conditions:

      (a) You must give any other recipients of the Work or
          Derivative Works a copy of this License; and

      (b) You must cause any modified files to carry prominent notices
          stating that You changed the files; and

      (c) You must retain, in the Source form of any Derivative Works
          that You distribute, all copyright, patent, trademark, and
          attribution notices from the Source form of the Work,
          excluding those notices that do not pertain to any part of
          the Derivative Works; and

      (d) If the Work includes a "NOTICE" text file as part of its
          distribution, then any Derivative Works that You distribute must
          include a readable copy of the attribution notices contained
          within such NOTICE file, excluding those notices that do not
          pertain to any part of the Derivative Works, in at least one
          of the following places: within a NOTICE text file distributed
          as part of the Derivative Works; within the Source form or
          documentation, if provided along with the Derivative Works; or,
          within a display generated by the Derivative Works, if and
          wherever such third-party notices normally appear. The contents
          of the NOTICE file are for informational purposes only and
          do not modify the License. You may add Your own attribution
          notices within Derivative Works that You distribute, alongside
          or as an addendum to the NOTICE text from the Work, provided
          that such additional attribution notices cannot be construed
          as modifying the License.

      You may add Your own copyright statement to Your modifications and
      may provide additional or different license terms and conditions
      for use, reproduction, or distribution of Your modifications, or
      for any such Derivative Works as a whole, provided Your use,
      reproduction, and distribution of the Work otherwise complies with
      the conditions stated in this License.

   5. Submission of Contributions. Unless You explicitly state otherwise,
      any Contribution intentionally submitted for inclusion in the Work
      by You to the Licensor shall be under the terms and conditions of
      this License, without any additional terms or conditions.
      Notwithstanding the above, nothing herein shall supersede or modify
      the terms of any separate license agreement you may have executed
      with Licensor regarding such Contributions.

   6. Trademarks. This License does not grant permission to use the trade
      names, trademarks, service marks, or product names of the Licensor,
      except as required for reasonable and customary use in describing the
      origin of the Work and reproducing the content of the NOTICE file.

   7. Disclaimer of Warranty. Unless required by applicable law or
      agreed to in writing, Licensor provides the Work (and each
      Contributor provides its Contributions) on an "AS IS" BASIS,
      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
      implied, including, without limitation, any warranties or conditions
      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
      PARTICULAR PURPOSE. You are solely responsible for determining the
      appropriateness of using or redistributing the Work and assume any
      risks associated with Your exercise of permissions under this License.

   8. Limitation of Liability. In no event and under no legal theory,
      whether in tort (including negligence), contract, or otherwise,
      unless required by applicable law (such as deliberate and grossly
      negligent acts) or agreed to in writing, shall any Contributor be
      liable to You for damages, including any direct, indirect, special,
      incidental, or consequential damages of any character arising as a
      result of this License or out of the use or inability to use the
      Work (including but not limited to damages for loss of goodwill,
      work stoppage, computer failure or malfunction, or any and all
      other commercial damages or losses), even if such Contributor
      has been advised of the possibility of such damages.

   9. Accepting Warranty or Additional Liability. While redistributing
      the Work or Derivative Works thereof, You may choose to offer,
      and charge a fee for, acceptance of support, warranty, indemnity,
      or other liability obligations and/or rights consistent with this
      License. However, in accepting such obligations, You may act only
      on Your own behalf and on Your sole responsibility, not on behalf
      of any other Contributor, and only if You agree to indemnify,
      defend, and hold each Contributor harmless for any liability
      incurred by, or claims asserted against, such Contributor by reason
      of your accepting any such warranty or additional liability.

   END OF TERMS AND CONDITIONS

   APPENDIX: How to apply the Apache License to your work.

      To apply the Apache License to your work, attach the following
      boilerplate notice, with the fields enclosed by brackets "[]"
      replaced with your own identifying information. (Don't include
      the brackets!)  The text should be enclosed in the appropriate
      comment syntax for the file format. We also recommend that a
      file or class name and description of purpose be included on the
      same "printed page" as the copyright notice for easier
      identification within third-party archives.

   Copyright [yyyy] [name of copyright owner]

   Licensed under the Apache License, Version 2.0 (the "License");
   you may not use this file except in compliance with the License.
   You may obtain a copy of the License at

       http://www.apache.org/licenses/LICENSE-2.0

   Unless required by applicable law or agreed to in writing, software
   distributed under the License is distributed on an "AS IS" BASIS,
   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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Hugging Face smol course - fine-tuning and aligning small language models
Apache-2.0 · imported from commit b712705327d1
Based on *a smol course* by Hugging Face (github.com/huggingface/smol-course), Apache-2.0 licence. Adapted for HireKeyz Academy. Full licence: [Credits & Licences](/credits).
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Made With ML - MLOps (Goku Mohandas)
MIT · imported from commit 3361aeb8ddfc
Based on *Made With ML* by Goku Mohandas (Made With ML) (github.com/GokuMohandas/Made-With-ML), MIT licence. Adapted for HireKeyz Academy. Full licence: [Credits & Licences](/credits).
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Microsoft - Data Science for Beginners
MIT · imported from commit 4d2ac427ad6f
Based on *Data Science for Beginners* by Microsoft (github.com/microsoft/Data-Science-For-Beginners), MIT licence. Adapted for HireKeyz Academy. Full licence: [Credits & Licences](/credits).
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Microsoft - Python for Beginners (with More Python and Data Tools)
MIT · imported from commit a74d0ea8451a
Based on *Python for Beginners (c9-python-getting-started)* by Microsoft (github.com/microsoft/c9-python-getting-started), MIT licence. Adapted for HireKeyz Academy. Full licence: [Credits & Licences](/credits).
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Microsoft AI Agents for Beginners
MIT · imported from commit 7dfa75abfa14
Based on *AI Agents for Beginners* by Microsoft (github.com/microsoft/ai-agents-for-beginners), MIT licence. Adapted for HireKeyz Academy. Full licence: [Credits & Licences](/credits).
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Microsoft AI for Beginners (12 weeks, 24 lessons)
MIT (repo); sketchnotes CC-BY-SA-4.0 · imported from commit 392d0df1b264
Based on *AI for Beginners* by Microsoft (github.com/microsoft/AI-For-Beginners), MIT licence. Adapted for HireKeyz Academy. Full licence: [Credits & Licences](/credits).
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Microsoft Generative AI for Beginners (21 lessons)
MIT · imported from commit e01dec498a0c
Based on *Generative AI for Beginners* by Microsoft (github.com/microsoft/generative-ai-for-beginners), MIT licence. Adapted for HireKeyz Academy. Full licence: [Credits & Licences](/credits).
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Microsoft MCP for Beginners
MIT · imported from commit 9fd69480244a
Based on *MCP for Beginners* by Microsoft (github.com/microsoft/mcp-for-beginners), MIT licence. Adapted for HireKeyz Academy. Full licence: [Credits & Licences](/credits).
    MIT License

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Microsoft ML for Beginners (12 weeks, 26 lessons)
MIT (repo); sketchnotes CC-BY-SA-4.0; quiz-app MIT (c) Arpan Adhikari · imported from commit de2d4e122364
Based on *ML for Beginners* by Microsoft (github.com/microsoft/ML-For-Beginners), MIT licence. Adapted for HireKeyz Academy. Full licence: [Credits & Licences](/credits).
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Microsoft Security-101
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Based on *Security-101: Cybersecurity for Beginners* by Microsoft (github.com/microsoft/Security-101), released under CC0 1.0 (public domain dedication); credited with thanks. Adapted for HireKeyz Academy. Full licence: [Credits & Licences](/credits).
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Neural Networks: Zero to Hero (Andrej Karpathy)
MIT · imported from commit 73c3fcc741f0
Based on *Neural Networks: Zero to Hero* by Andrej Karpathy (github.com/karpathy/nn-zero-to-hero), MIT licence. Adapted for HireKeyz Academy. Full licence: [Credits & Licences](/credits).
MIT License

Copyright (c) 2022 Andrej Karpathy

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Software the Academy runs on

Frappe Framework (version-16)
MIT · © Frappe Technologies Pvt. Ltd. · Used unmodified.
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Frappe Learning (LMS) (version-16)
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Frappe Payments (version-16)
MIT · © Frappe Technologies Pvt. Ltd. · Used unmodified (installed as an LMS dependency).
Licence text
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Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in
all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
THE SOFTWARE.
Bricolage Grotesque typeface (5.3.0 (Fontsource))
OFL-1.1 · © 2022 The Bricolage Grotesque Project Authors · Latin subset, weights 500 to 700, served from this site.
Licence text
Copyright 2022 The Bricolage Grotesque Project Authors (https://github.com/ateliertriay/bricolage)

This Font Software is licensed under the SIL Open Font License, Version 1.1.
This license is copied below, and is also available with a FAQ at:
http://scripts.sil.org/OFL


-----------------------------------------------------------
SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007
-----------------------------------------------------------

PREAMBLE
The goals of the Open Font License (OFL) are to stimulate worldwide
development of collaborative font projects, to support the font creation
efforts of academic and linguistic communities, and to provide a free and
open framework in which fonts may be shared and improved in partnership
with others.

The OFL allows the licensed fonts to be used, studied, modified and
redistributed freely as long as they are not sold by themselves. The
fonts, including any derivative works, can be bundled, embedded,
redistributed and/or sold with any software provided that any reserved
names are not used by derivative works. The fonts and derivatives,
however, cannot be released under any other type of license. The
requirement for fonts to remain under this license does not apply
to any document created using the fonts or their derivatives.

DEFINITIONS
"Font Software" refers to the set of files released by the Copyright
Holder(s) under this license and clearly marked as such. This may
include source files, build scripts and documentation.

"Reserved Font Name" refers to any names specified as such after the
copyright statement(s).

"Original Version" refers to the collection of Font Software components as
distributed by the Copyright Holder(s).

"Modified Version" refers to any derivative made by adding to, deleting,
or substituting -- in part or in whole -- any of the components of the
Original Version, by changing formats or by porting the Font Software to a
new environment.

"Author" refers to any designer, engineer, programmer, technical
writer or other person who contributed to the Font Software.

PERMISSION & CONDITIONS
Permission is hereby granted, free of charge, to any person obtaining
a copy of the Font Software, to use, study, copy, merge, embed, modify,
redistribute, and sell modified and unmodified copies of the Font
Software, subject to the following conditions:

1) Neither the Font Software nor any of its individual components,
in Original or Modified Versions, may be sold by itself.

2) Original or Modified Versions of the Font Software may be bundled,
redistributed and/or sold with any software, provided that each copy
contains the above copyright notice and this license. These can be
included either as stand-alone text files, human-readable headers or
in the appropriate machine-readable metadata fields within text or
binary files as long as those fields can be easily viewed by the user.

3) No Modified Version of the Font Software may use the Reserved Font
Name(s) unless explicit written permission is granted by the corresponding
Copyright Holder. This restriction only applies to the primary font name as
presented to the users.

4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font
Software shall not be used to promote, endorse or advertise any
Modified Version, except to acknowledge the contribution(s) of the
Copyright Holder(s) and the Author(s) or with their explicit written
permission.

5) The Font Software, modified or unmodified, in part or in whole,
must be distributed entirely under this license, and must not be
distributed under any other license. The requirement for fonts to
remain under this license does not apply to any document created
using the Font Software.

TERMINATION
This license becomes null and void if any of the above conditions are
not met.

DISCLAIMER
THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT
OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE
COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL
DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM
OTHER DEALINGS IN THE FONT SOFTWARE.
DM Sans typeface (5.3.0 (Fontsource))
OFL-1.1 · © 2014 The DM Sans Project Authors · Latin subset, weights 400 to 700, served from this site.
Licence text
Copyright 2014 The DM Sans Project Authors (https://github.com/googlefonts/dm-fonts) DMSans-Italic[opsz,wght].ttf: Copyright 2014 The DM Sans Project Authors (https://github.com/googlefonts/dm-fonts)

This Font Software is licensed under the SIL Open Font License, Version 1.1.
This license is copied below, and is also available with a FAQ at:
http://scripts.sil.org/OFL


-----------------------------------------------------------
SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007
-----------------------------------------------------------

PREAMBLE
The goals of the Open Font License (OFL) are to stimulate worldwide
development of collaborative font projects, to support the font creation
efforts of academic and linguistic communities, and to provide a free and
open framework in which fonts may be shared and improved in partnership
with others.

The OFL allows the licensed fonts to be used, studied, modified and
redistributed freely as long as they are not sold by themselves. The
fonts, including any derivative works, can be bundled, embedded,
redistributed and/or sold with any software provided that any reserved
names are not used by derivative works. The fonts and derivatives,
however, cannot be released under any other type of license. The
requirement for fonts to remain under this license does not apply
to any document created using the fonts or their derivatives.

DEFINITIONS
"Font Software" refers to the set of files released by the Copyright
Holder(s) under this license and clearly marked as such. This may
include source files, build scripts and documentation.

"Reserved Font Name" refers to any names specified as such after the
copyright statement(s).

"Original Version" refers to the collection of Font Software components as
distributed by the Copyright Holder(s).

"Modified Version" refers to any derivative made by adding to, deleting,
or substituting -- in part or in whole -- any of the components of the
Original Version, by changing formats or by porting the Font Software to a
new environment.

"Author" refers to any designer, engineer, programmer, technical
writer or other person who contributed to the Font Software.

PERMISSION & CONDITIONS
Permission is hereby granted, free of charge, to any person obtaining
a copy of the Font Software, to use, study, copy, merge, embed, modify,
redistribute, and sell modified and unmodified copies of the Font
Software, subject to the following conditions:

1) Neither the Font Software nor any of its individual components,
in Original or Modified Versions, may be sold by itself.

2) Original or Modified Versions of the Font Software may be bundled,
redistributed and/or sold with any software, provided that each copy
contains the above copyright notice and this license. These can be
included either as stand-alone text files, human-readable headers or
in the appropriate machine-readable metadata fields within text or
binary files as long as those fields can be easily viewed by the user.

3) No Modified Version of the Font Software may use the Reserved Font
Name(s) unless explicit written permission is granted by the corresponding
Copyright Holder. This restriction only applies to the primary font name as
presented to the users.

4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font
Software shall not be used to promote, endorse or advertise any
Modified Version, except to acknowledge the contribution(s) of the
Copyright Holder(s) and the Author(s) or with their explicit written
permission.

5) The Font Software, modified or unmodified, in part or in whole,
must be distributed entirely under this license, and must not be
distributed under any other license. The requirement for fonts to
remain under this license does not apply to any document created
using the Font Software.

TERMINATION
This license becomes null and void if any of the above conditions are
not met.

DISCLAIMER
THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT
OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE
COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL
DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM
OTHER DEALINGS IN THE FONT SOFTWARE.
Shaders (4.0.4)
MIT · © 2026 Shader Effects Inc. · WebGPU backgrounds on a few pages; served from this site, telemetry off; unmodified.
Licence text
MIT License

Copyright (c) 2026 Shader Effects Inc.

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
000h UI (design reference) (commit 81f1bc0)
MIT · © 2026 Sanjay Kumar · Visual language and the organic shape formulas adapted into the Academy stylesheet; no components copied.
Licence text
MIT License

Copyright (c) 2026 Sanjay Kumar

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
KaTeX (0.16.47)
MIT · © 2013-2020 Khan Academy and other contributors · Renders maths in coding drills. woff2 fonts only, served from this site; otherwise unmodified.
Licence text
The MIT License (MIT)

Copyright (c) 2013-2020 Khan Academy and other contributors

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.

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Not copied. Videos play from the provider's own player; courses and repositories open on the provider's site under that provider's terms.
ResourceHow it's usedLicence / terms
100 Days of Code - Learn Python Programming! (London App Brewery, free Days 1-3) Embedded playerStandard YouTube licence - embedded, not copied
3Blue1Brown - Essence of calculus Embedded playerYouTube-Standard
3Blue1Brown - Essence of linear algebra Embedded playerYouTube-Standard
3Blue1Brown - Neural networks (incl. LLM/transformer chapters) Embedded playerYouTube-Standard
3Blue1Brown - Probabilities of probabilities (Bayesian intuition) Embedded playerYouTube-Standard
Advanced NLP with spaCy (free online course) LinkMIT
Agent2Agent (A2A) Protocol - specification and samples LinkApache-2.0
AI Engineering (Chip Huyen) - companion resources, study notes and case studies LinkNONE - no LICENSE file; link only (the book itself is a paid O'Reilly title)
AI Engineering Hub (patchy631 / Daily Dose of Data Science) LinkMIT
AI Evals: Everything You Need to Know (Hamel Husain & Shreya Shankar) LinkFree article; no licence stated - link only
AI Video & Resource Library (built from this registry) LinkRegistry by HireKeyz Inc.; each item keeps its own terms
An Introduction to Statistical Learning (with Python / R) - free PDF LinkFree PDF; (c) the authors, all rights reserved - link only, never upload the PDF
Andrej Karpathy - General Audience (Intro to LLMs, Deep Dive into LLMs, How I use LLMs) Embedded playerYouTube-Standard
Andrej Karpathy - Neural Networks: Zero to Hero Embedded playerYouTube-Standard
Anthropic - 'AI prompt engineering: A deep dive' + 'Prompting 101 | Code w/ Claude' Embedded playerYouTube-Standard
Anthropic - AI Fluency Course (video playlist) Embedded playerCC-BY-NC-SA-4.0 (course materials); YouTube-Standard (player)
Anthropic Academy / Claude Academy (AI Fluency, Claude 101, AI Capabilities & Limitations, AI Fluency for Small Businesses, Building with th LinkPROPRIETARY-TOS (platform); AI Fluency materials CC-BY-NC-SA-4.0
Anthropic Courses (API fundamentals, prompt engineering tutorial, real-world prompting, prompt evaluations, tool use) LinkCC-BY-NC-4.0
Apache Airflow - Fundamental Concepts tutorial LinkFree; Apache Software Foundation project documentation - link only
Applied ML - curated papers and tech blogs on ML in production (Eugene Yan) LinkMIT
AWS Skill Builder - AWS Cloud Practitioner Essentials (free digital course) LinkPROPRIETARY-TOS
Build a Large Language Model (From Scratch) - code repo LinkApache-2.0 (code/notebooks only)
Building effective agents (Anthropic) LinkFree article; Anthropic site terms - link only
Career Essentials in Generative AI by Microsoft and LinkedIn LinkPROPRIETARY-TOS
Career Path Capstones (content/capstones) LinkProprietary - HireKeyz Inc.
Certification Paths (built from content/certifications.json) LinkCatalog by HireKeyz Inc.; credentials are issued by each provider
Claude Cookbooks (Anthropic) LinkMIT
CS50P 2022 lectures (YouTube) Embedded playerYouTube-Standard
CS50x lectures (YouTube) Embedded playerYouTube-Standard
Data Carpentry - Data Analysis and Visualization in Python for Ecologists (pandas, plotting, SQL) LinkCC-BY-4.0 (instructional material); code per LICENSE.md
Data Carpentry - Data Organization in Spreadsheets LinkCC-BY-4.0
DataTalksClub AI Dev Tools Zoomcamp - AI-Native Software Engineering LinkNONE - no LICENSE file, all rights reserved; link only
DataTalksClub Data Engineering Zoomcamp LinkNONE - no LICENSE file, all rights reserved; link only
DataTalksClub LLM Zoomcamp LinkNONE
DataTalksClub Machine Learning Zoomcamp LinkNONE - no LICENSE file, all rights reserved; link only
DataTalksClub MLOps Zoomcamp LinkNONE - no LICENSE file, all rights reserved; link only
dbt Learn - dbt Fundamentals (free course) LinkFree course; dbt Labs terms - link only
DeepLearning.AI courses (short courses + Generative AI for Everyone + AI for Everyone) LinkPROPRIETARY-TOS
Demystifying evals for AI agents (Anthropic) LinkFree article; Anthropic site terms - link only
Dive into Deep Learning (d2l.ai) - interactive book LinkText CC BY-SA 4.0; sample code MIT-style licence (LICENSE-SAMPLECODE)
Docker Docs - Get started LinkFree; Docker documentation terms - link only
Effective context engineering for AI agents (Anthropic) LinkFree article; Anthropic site terms - link only
Elements of AI - Introduction to AI (University of Helsinki & MinnaLearn) LinkPROPRIETARY-TOS
EU AI Act Explorer (Future of Life Institute) LinkFree; official EU legal text; site by Future of Life Institute (no licence stated) - link only
Evidently AI - LLM evaluations for AI builders (applied course) LinkFree course; Evidently AI terms - link only
Evidently AI - LLM evaluations for AI product teams (no-code) LinkFree course; Evidently AI terms - link only
Evidently AI - Open-source ML observability course LinkFree course; Evidently AI terms - link only (library is open source)
Fairlearn - assess and improve fairness of AI systems LinkMIT
Fairness and Machine Learning: Limitations and Opportunities (Barocas, Hardt, Narayanan) LinkCC BY-NC-ND 4.0 - link only (NonCommercial, NoDerivatives)
fast.ai - Practical Deep Learning for Coders (2022, Parts 1-2) LinkFree course; no licence stated on site; course22 repo has no LICENSE - link only
freeCodeCamp - Python Certification (v9) LinkPROPRIETARY (curriculum copyright freeCodeCamp.org per repo README; only the software is BSD-3-Clause)
Full Stack Deep Learning - LLM Bootcamp (Spring 2023) LinkFree; no licence stated - link only
GitHub Skills - Introduction to GitHub (+ GitHub Skills catalogue incl. Copilot exercises) LinkMIT
Google Agent Development Kit (ADK) - overview and docs LinkFree docs; framework Apache-2.0 (google/adk-python repo)
Google Cloud Tech - Introduction to Generative AI (video) Embedded playerYouTube-Standard
Google Machine Learning Crash Course LinkFree; Google for Developers site terms (no content licence shown on the course page) - link only
Google PAIR - People + AI Guidebook LinkFree; Google terms (licence not shown in our capture) - link only
Google Secure AI Framework (SAIF) LinkFree; Google terms - link only
Google Skills - Cloud Digital Leader certification learning path LinkPROPRIETARY-TOS
Google Skills - Introduction to Generative AI (course 536) / Beginner: Introduction to Generative AI path (118) LinkPROPRIETARY-TOS
Google's Python Class (Google for Developers) LinkCC-BY-2.5 / CC-BY-4.0 (text, per page footer); Apache-2.0 (code samples)
Harvard CS50 AI - CS50's Introduction to Artificial Intelligence with Python LinkCC-BY-NC-SA-4.0 (CS50 licence pattern)
Harvard CS50 SQL - CS50's Introduction to Databases with SQL LinkCC-BY-NC-SA-4.0 (assumed from the CS50 licence pattern; the /sql/license/ page itself was not fetched)
Harvard CS50P - CS50's Introduction to Programming with Python LinkCC-BY-NC-SA-4.0 (CS50 licence page; verified on CS50x, same licence page pattern on CS50P)
Harvard CS50x - Introduction to Computer Science (2026) LinkCC-BY-NC-SA-4.0
HireKeyz-authored courses (this repo: content/courses) LinkProprietary - HireKeyz Inc.
Hugging Face Audio Course LinkApache-2.0 (huggingface/audio-transformers-course repo)
Hugging Face Diffusion Models Class LinkApache-2.0
Hugging Face MCP Course LinkApache-2.0
Hugging Face Open-Source AI Cookbook LinkApache-2.0 (huggingface/cookbook repo)
IAPP AIGP - Artificial Intelligence Governance Professional (Body of Knowledge, exam blueprint, study guide) LinkCredential information page; free BoK and blueprint downloads; IAPP terms - link only
Inspect AI - LLM evaluation framework (UK AI Security Institute) LinkMIT
Interpretable Machine Learning (Christoph Molnar) LinkBook CC BY-NC-SA 4.0; code MIT - link only
ISACA AAISM - Advanced in AI Security Management (credential page) LinkCredential information page; ISACA terms - link only
ISTQB Certified Tester AI Testing (CT-AI) v2.0 - syllabus and certification page LinkSyllabus downloadable from ISTQB (ISTQB copyright; price not stated on page) - link only
Kaggle Learn - Intermediate Machine Learning LinkFree; Kaggle terms - link only
Kaggle Learn - Intro to Machine Learning (+ Intro to Deep Learning, Data Visualization) LinkPROPRIETARY-TOS
Kaggle Learn - Intro to Programming LinkPROPRIETARY-TOS
Kaggle Learn - Intro to SQL + Advanced SQL (BigQuery) LinkPROPRIETARY-TOS
Kaggle Learn - Pandas LinkPROPRIETARY-TOS
Kaggle Learn - Python LinkPROPRIETARY-TOS
Kaggle x Google - 5-Day AI Agents Intensive (self-paced learn guide) LinkFree; Kaggle/Google terms - link only
Kaggle x Google - 5-Day Gen AI Intensive (self-paced learn guide) LinkFree; Kaggle/Google terms - link only
Khan Academy - Linear Algebra (YouTube playlist + khanacademy.org exercises) Embedded playerCC-BY-NC-SA (Khan videos/exercises) with Khan-specific NC definition; YouTube-Standard for the player
LangChain Academy - Introduction to LangGraph (notebooks) LinkMIT
Learn Kubernetes Basics (kubernetes.io) LinkFree; Kubernetes documentation (CNCF) - licence not re-verified in this pass, link only
Linux Foundation - Introduction to Linux (LFS101) LinkPROPRIETARY-TOS
LLM Course (Maxime Labonne) - roadmap LinkApache-2.0
Machine Learning Engineering Open Book (Stas Bekman) LinkCC BY-SA 4.0
Mathematics for Machine Learning (Deisenroth, Faisal, Ong; Cambridge University Press) - free PDF LinkPROPRIETARY - PDF 'free to view and download for personal use only. Not for re-distribution, re-sale, or use in derivative works.'
Microsoft - Generative AI for Beginners (video series) Embedded playerYouTube-Standard
Microsoft AI Red Teaming Playground Labs LinkMIT
Microsoft Generative AI with JavaScript LinkMIT
Microsoft HAX Toolkit - Guidelines for Human-AI Interaction LinkFree; Microsoft terms; HAX Playbook repo MIT - link only
Microsoft Learn - Build foundational generative AI skills (Copilot Chat) + Introduction to AI concepts LinkPROPRIETARY-TOS
Microsoft Learn - Create agents in Microsoft Copilot Studio LinkFree; Microsoft Learn terms - link only
Microsoft Learn - Develop AI agents on Azure (AI-3026) LinkFree; Microsoft Learn terms - link only
Microsoft Learn - Embrace responsible AI principles and practices LinkFree; Microsoft Learn terms - link only
Microsoft Learn - Introduction to Cloud Infrastructure: Describe cloud concepts (AZ-900 path 1 of 4) LinkPROPRIETARY-TOS
Microsoft Learn - Take your first steps with Python (learning path) + Python for Beginners video series LinkPROPRIETARY-TOS
Microsoft Learn - Transform your business with AI (learning path) LinkFree; Microsoft Learn terms - link only
Microsoft PyRIT - Python Risk Identification Tool for generative AI LinkMIT
Microsoft Support - Excel help & learning (formulas, XLOOKUP, PivotTables, Copilot in Excel) LinkPROPRIETARY-TOS
MIT - The Missing Semester of Your CS Education (IAP 2026) LinkCC-BY-NC-SA-4.0 (license.md: 'All the content in this course, including ... lecture notes, exercises, and lecture videos')
MIT 18.06 Linear Algebra (Gilbert Strang) - lectures + OCW course Embedded playerYouTube-Standard (videos); OCW materials CC-BY-NC-SA-4.0
MIT 6.041 Probabilistic Systems Analysis and Applied Probability Embedded playerYouTube-Standard (videos); OCW materials CC-BY-NC-SA-4.0
MIT 6.100L Introduction to CS and Programming using Python (Fall 2022) - lectures Embedded playerYouTube-Standard (videos); OCW course materials CC-BY-NC-SA-4.0
MIT 6.S191 Introduction to Deep Learning (2026) LinkMIT (per course FAQ and MITDeepLearning/introtodeeplearning LICENSE.md); slides need attribution '(c) Alexander Amini and Ava Amini'
MIT 6.S191 Introduction to Deep Learning - lecture playlist Embedded playerYouTube Standard License - embed only
MITRE ATLAS - Adversarial Threat Landscape for AI Systems LinkFree; MITRE terms (ATLAS data repo is Apache-2.0) - link only
MLOps: Continuous delivery and automation pipelines in machine learning (Google Cloud) LinkCC BY 4.0 (text); Apache-2.0 (code) per page footer
NIST AI 100-2 E2025 - Adversarial Machine Learning: A Taxonomy and Terminology LinkUS Government work (NIST) - free; link
NIST AI Risk Management Framework (AI RMF 1.0) and Generative AI Profile (NIST AI 600-1) LinkUS Government work (NIST) - free; link
NIST AI RMF Playbook LinkUS Government work (NIST) - free; link
NVIDIA garak - LLM vulnerability scanner LinkApache-2.0
NYC DCWP - Automated Employment Decision Tools (Local Law 144) LinkFree; NYC government page - link only
OpenAI Academy - Apply AI at Work / Build with AI LinkPROPRIETARY-TOS
OpenAI Agents SDK (Python) - documentation LinkMIT (openai/openai-agents-python repo)
OpenAI Cookbook LinkMIT
OpenAI Whisper - open speech recognition model (repo) LinkMIT
OpenIntro Statistics (free textbook) LinkFree PDF (pay-what-you-want, $0 allowed); licence per openintro.org (not confirmed on page) - link only
OWASP AI Exchange - AI security and privacy guidance LinkCC0 1.0 (public domain dedication, per site)
OWASP GenAI / LLM Top 10 (2026 edition) LinkCC BY-SA 4.0 (site-wide statement on genai.owasp.org)
Patterns for Building LLM-based Systems & Products (Eugene Yan) LinkFree article; no licence stated - link only
Pro Git (2nd ed., Chacon & Straub) - official Git book LinkCC-BY-NC-SA-3.0
Prompt injection explained, with video, slides and a transcript (Simon Willison) LinkFree article with embedded YouTube talk; no licence stated - link only
promptfoo - LLM red teaming guide and open-source tool LinkFree docs; tool MIT (promptfoo/promptfoo repo)
Python Data Science Handbook (Jake VanderPlas) - NumPy, pandas, Matplotlib, scikit-learn LinkText CC-BY-NC-ND-3.0 (LICENSE-TEXT); code MIT (LICENSE-CODE)
Python for Everybody (py4e.com, Dr. Charles Severance, University of Michigan) LinkSite footer: CC-BY-4.0. Textbook 'Python for Everybody': CC-BY-NC-SA-3.0 (book3 front matter / epub metadata in csev/py4e).
PyTorch Tutorials - Learn the Basics LinkFree; (c) PyTorch / The Linux Foundation, all rights reserved per page footer - link only
Ragas - evaluation toolkit for RAG and LLM applications LinkApache-2.0
Rules of Machine Learning: Best Practices for ML Engineering (Google) LinkCC BY 4.0 (text); Apache-2.0 (code samples) per page footer
Software Carpentry - Databases and SQL LinkCC-BY-4.0
Software Carpentry - Plotting and Programming in Python (Gapminder) LinkCC-BY-4.0
Software Carpentry - The Unix Shell LinkCC-BY-4.0
Software Carpentry - Version Control with Git LinkCC-BY-4.0
Stanford CME295 Transformers & Large Language Models Embedded playerYouTube-Standard
Stanford CS224N NLP with Deep Learning | Spring 2024 Embedded playerYouTube-Standard
Stanford CS229 Machine Learning (Andrew Ng) | Autumn 2018 Embedded playerYouTube-Standard
Stanford CS231n - Deep Learning for Computer Vision course notes LinkMIT (repo LICENSE, (c) Andrej Karpathy)
Stanford CS25 - Transformers United (V1-V6) Embedded playerYouTube-Standard
Stanford CS329S - Machine Learning Systems Design (Chip Huyen) course site LinkMIT (repo LICENSE)
Stanford CS336 Language Modeling from Scratch | Spring 2026 Embedded playerYouTube-Standard
StatQuest - Linear Regression and Linear Models Embedded playerYouTube-Standard
StatQuest - Machine Learning Embedded playerYouTube-Standard
StatQuest - Statistics Fundamentals Embedded playerYouTube-Standard
The Python Tutorial (docs.python.org, official) LinkPSF-2.0 (documentation); code examples PSF-2.0 OR 0BSD (since 3.8.6)

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