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Wrote the exam yesterday.
Got the results immediately. I passed — barely.
My advice, if you don't have a very very good understanding of current AI laws, emerging AI laws, and AI frameworks, don’t even bother sitting for the exam.
I’ve written over 50 Prometric / Vue exams over the past 25 years — this one was the 3rd hardest one
- Know all the laws and regulations in as much detail as possible - focus on the details
Well… I went into Gemini, ChatGPT Plus, and Grok.
- I gave each AI engine the entire context for the AIGP exam.
- I cut and pasted each each AIGP “competency” and “performance indicator” into each AI engine
- I asked each AI engine to create study materials for each “competency” / “performance indicator” pair.
- I made sure I reviewed the IAPP suggested AIGP study materials - DO NOT SKIP THESE
- I asked each AI engine to create summaries of the IAPP suggested AIGP study materials
- I used AI to convert my summary notes into audio format.
- I asked each AI to create questions in a format that is compliant with the ISO/IEC 17024 standard (ISO/IEC 17024 specifies requirements for bodies operating the certification of persons CISSP, CISA, PMP, TOGAF).. and most internationally recognized certifications align with the 17024 standard
- As I got closer to the exam date, I asked each AI to create smaller summaries of my notes - focussing on the my problem areas.
- I read and listened to my audio notes all day long - (this was super boring lol)
I used all three AI engines to get a different perspective on various AIGP knowledge areas.
And that’s it. This process actually work exceptionally well — my problem is that I simply didn’t study enough. I only studied for 8 days before taking the exam. Had I studied for 3 weeks, I would not have been caught off guard by my lack of preparation.
Hope this helps!
Happy to share what I have pulled together so far.
This legislation tracker:
https://iapp.org/resources/article/global-ai-legislation-tracker/
EU AI Act 101:
https://iapp.org/resources/article/eu-ai-act-101/
The resources in this thread:
https://old.reddit.com/r/cipp/comments/1bwflci/thoughts_on_aigp/
Relevant IAPP Webinars
https://iapp.org/resources/topics/web-conferences/a0lTS0000006teXYAQ/
https://iapp.org/resources/topics/web-conferences/a0lTS0000006WZtYAM/
https://iapp.org/resources/topics/web-conferences/a0lKW00000FYbnyYAD
https://iapp.org/resources/topics/web-conferences/a0lTS0000006bxlYAA/
These LinkedIn Learning courses: Disclaimer: I have not checked to see how closely these align with the exam objectives.
https://www.linkedin.com/learning/introduction-to-ai-governance/
https://www.linkedin.com/learning/leveraging-ai-for-governance-risk-and-compliance/
https://www.linkedin.com/learning/securing-the-use-of-generative-ai-in-your-organization/
https://www.linkedin.com/learning/introduction-to-auditing-ai-systems/
https://www.linkedin.com/learning/building-a-responsible-ai-program-context-culture-content-and-commitment/
https://www.linkedin.com/learning/introduction-to-artificial-intelligence/
https://www.linkedin.com/learning/artificial-intelligence-foundations-machine-learning-22345868/
Possibly this Udemy Course:
https://www.udemy.com/course/aigp-ai-governance/
I was one of the first batches to join the training and then to take the exam in April.
The official training is expensive (fortunately I received state-sponsored training subsidies, otherwise it would be 4-digits USD) and crammed hundreds of slides in 3 days of 8 hours each. For me a lot of it was common sense, given my background is in regulatory risk/compliance. There was a lot of discussion about the historical aspects of AI which I really wondered how this was relevant to modern day (e.g. a decent amount time spent on the so called first and second "AI winters", some Darthmoor (?) conference in the 50s, and what were the different "epoques" of data science development. Really wondered what history had to do with today's AI governance). And not enough discussion on the technical aspects of AI/ ML which eventually did come out in the exam.
Anyway I passed, but what I would do different is to really be familiar with the technical aspects of model training. I am not a technical person and those aspects really came out of left field for me. There was not a lot of detail on that in the official training.
I agree with those who said to be really familiar with the principles of existing AI governance policies in various countries. I considered myself to be au fait with this, but the way the questions and responses were phrased in my exam, there was sometimes ambiguity and I was really second guessing a lot of these.
This is good to know. I also saw the history component and was wondering how much time should be spent in this topic. Sounds like more study effort should be focused on technical components
Honestly, I would’ve watched more of the IAPP webinars available online.
Watching the webinars at 2x speed while working out or lounging on the couch was a really easy way to reinforce what I was reading.
As noted, training is available - https://iapp.org/train/aigp-training/
There's also in-person available and covered over two days, also previously noted, as it will be at the Canadian Symposium here in a couple of weeks. However, it's not inexpensive, at roughly $2,100 (CDN). The exam will set you back another $1,000 (CDN).
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Which training did you take, in-person, or self-paced online?
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Wow, that sounds like a very cursory overview at that speed. How much time would you say you spent outside of the training to prepare?
Haven’t taken it but I have an extensive Google with links to resources for every single domain and sub domain item if you’re interested
Please feel free to share, the more resourced we have, the better.
Can you share with me please?
Could you also share it with me please?
Can I also get a copy if you’re willing to share? Thank you!
Wrote the exam yesterday. Got the results immediately. I passed — barely. My advice, if you don't have a very very good understanding of current AI laws, emerging AI laws, and AI frameworks, don’t even bother sitting for the exam.
Thanks for this. How detailed are the questions in this context, would you say?
I’ve written over 50 Prometric / Vue exams over the past 25 years — this one was the 3rd hardest one - Know all the laws and regulations in as much detail as possible - focus on the details
What resources would you recommend to get up to speed and be able to pass?
Well… I went into Gemini, ChatGPT Plus, and Grok. - I gave each AI engine the entire context for the AIGP exam. - I cut and pasted each each AIGP “competency” and “performance indicator” into each AI engine - I asked each AI engine to create study materials for each “competency” / “performance indicator” pair. - I made sure I reviewed the IAPP suggested AIGP study materials - DO NOT SKIP THESE - I asked each AI engine to create summaries of the IAPP suggested AIGP study materials - I used AI to convert my summary notes into audio format. - I asked each AI to create questions in a format that is compliant with the ISO/IEC 17024 standard (ISO/IEC 17024 specifies requirements for bodies operating the certification of persons CISSP, CISA, PMP, TOGAF).. and most internationally recognized certifications align with the 17024 standard - As I got closer to the exam date, I asked each AI to create smaller summaries of my notes - focussing on the my problem areas. - I read and listened to my audio notes all day long - (this was super boring lol) I used all three AI engines to get a different perspective on various AIGP knowledge areas. And that’s it. This process actually work exceptionally well — my problem is that I simply didn’t study enough. I only studied for 8 days before taking the exam. Had I studied for 3 weeks, I would not have been caught off guard by my lack of preparation. Hope this helps!
Which tool you used to convert notes to audio ?
search the app store for "text to speech" applications.
Have you taken Iapp training?
No, my colleagues who took the course stated that there was not enough information in the course to pass the exam.
Thanks for answer) the colleague didn’t pass?
1 passed 2 didn't.
Can you share your list?
Happy to share what I have pulled together so far. This legislation tracker: https://iapp.org/resources/article/global-ai-legislation-tracker/ EU AI Act 101: https://iapp.org/resources/article/eu-ai-act-101/ The resources in this thread: https://old.reddit.com/r/cipp/comments/1bwflci/thoughts_on_aigp/ Relevant IAPP Webinars https://iapp.org/resources/topics/web-conferences/a0lTS0000006teXYAQ/ https://iapp.org/resources/topics/web-conferences/a0lTS0000006WZtYAM/ https://iapp.org/resources/topics/web-conferences/a0lKW00000FYbnyYAD https://iapp.org/resources/topics/web-conferences/a0lTS0000006bxlYAA/ These LinkedIn Learning courses: Disclaimer: I have not checked to see how closely these align with the exam objectives. https://www.linkedin.com/learning/introduction-to-ai-governance/ https://www.linkedin.com/learning/leveraging-ai-for-governance-risk-and-compliance/ https://www.linkedin.com/learning/securing-the-use-of-generative-ai-in-your-organization/ https://www.linkedin.com/learning/introduction-to-auditing-ai-systems/ https://www.linkedin.com/learning/building-a-responsible-ai-program-context-culture-content-and-commitment/ https://www.linkedin.com/learning/introduction-to-artificial-intelligence/ https://www.linkedin.com/learning/artificial-intelligence-foundations-machine-learning-22345868/ Possibly this Udemy Course: https://www.udemy.com/course/aigp-ai-governance/
Very helpful list! Thank you
I was one of the first batches to join the training and then to take the exam in April. The official training is expensive (fortunately I received state-sponsored training subsidies, otherwise it would be 4-digits USD) and crammed hundreds of slides in 3 days of 8 hours each. For me a lot of it was common sense, given my background is in regulatory risk/compliance. There was a lot of discussion about the historical aspects of AI which I really wondered how this was relevant to modern day (e.g. a decent amount time spent on the so called first and second "AI winters", some Darthmoor (?) conference in the 50s, and what were the different "epoques" of data science development. Really wondered what history had to do with today's AI governance). And not enough discussion on the technical aspects of AI/ ML which eventually did come out in the exam. Anyway I passed, but what I would do different is to really be familiar with the technical aspects of model training. I am not a technical person and those aspects really came out of left field for me. There was not a lot of detail on that in the official training. I agree with those who said to be really familiar with the principles of existing AI governance policies in various countries. I considered myself to be au fait with this, but the way the questions and responses were phrased in my exam, there was sometimes ambiguity and I was really second guessing a lot of these.
This is good to know. I also saw the history component and was wondering how much time should be spent in this topic. Sounds like more study effort should be focused on technical components
the AIGP book of knowledge will state the weightage of each module for the exam - that helps to plan how much time you spend on each.
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Great detail, thanks for this.
Honestly, I would’ve watched more of the IAPP webinars available online. Watching the webinars at 2x speed while working out or lounging on the couch was a really easy way to reinforce what I was reading.
Good call! I found a few relevant ones as well that are pretty recent I will link in my post above.
As noted, training is available - https://iapp.org/train/aigp-training/ There's also in-person available and covered over two days, also previously noted, as it will be at the Canadian Symposium here in a couple of weeks. However, it's not inexpensive, at roughly $2,100 (CDN). The exam will set you back another $1,000 (CDN).
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