u/auto-suggested-name

So I just passed the AIGP exam and here are some thoughts.

I prepped using Dr. David's course and Gemini/Claude/GPT's route. I have been working in AI related field for 8+ years and am relatively new to governance. I have to say I'm quite disappointed with the course honestly. Below are some of my points:

The Good:

• The course has a lot of information and good for developing a holistic overview of the landscape.

The Bad:

• The course is divided into such small snippets that it becomes difficult to follow along the context and/or really get into any kind of details.
• At times, I feel completely lost as to what the slide was saying and how does it connect to what the exam could test.
• The intros and outros are the most annoying thing ever. The intros and outros alone add at least 1 hour to the video content.

The Ugly:

• The practice tests and questions are ABSOLUTELY NOT REPRESENTATIVE of the actual test if you don't already have a good foundation in governance.
• I felt the course is very weak in the area I felt most questions on the actual test came from (see below).

My biggest reason for disappointment was because Dr. David claimed at the start of the course that the course was enough to study and prepare for the exam and that independent self-study outside of the course would not be required. This gave me the wrong expectation for prep time and I had to scramble last minute to study/practice more. I finished the course work two days before the exam and took the first full practice test. I flew through the exam and scored a solid 92% on the practice exam. I literally felt like it was a piece of cake. I couldn't believe it and so I came to this sub to judge and look down upon people who said the test was difficult (jk lol). Came across a thread mentioning the difference between practice and real questions. PANIC!

I was able to consistently score 75-85% range in tests made by gemini and claude (also were not exactly representative of the actual type of test questions).

Questions:

• There was a good mix. The questions were not difficult. It's just that I didn't find anything representative in the practice space before hand (again, partly bcz of me not doing any research until very late)
• Wordplay was a big part. Example of an actual question:
  • 'Test data is a subset of the data that is used for...". two answer options were (paraphrased) 'validating the model's performance after training' and 'extracting generalized patterns contained in a dataset'. I know both types of data mentioned here but as a non-native english speaker, I still can't tell which one they're asking about, the 'Test data' or 'the data'.
• Scenarios were the biggest portion. Some scenarios had up to three questions from them. questions like:
  • [scenario] -> what is the least best action to protect [xyz].
  • [scenario] -> what is the highest leverage action to achieve [xyz]
  • [scenario] -> what is the most suitable option for [xyz]
  • I feel these are the type of questions the course didn't do a good job on for the prep.
• Multi-select questions:
  • I hated these. select 3 our 5 options. no partial credit.
  • I feel I got most of them wrong if not all. very obscure/confusing. I was never sure about what to select and what not to.
• Memory recall questions:
  • Memory recall questions were mostly about standard AI fundamentals. Nothing surprising.
  • No memory recall questions related to specific bill names or laws or article numbers and such.

Sharing all this here in case it helps anyone preparing.