Salary Survey Extra: Deep Focus on HPE Product Certified - AI and Machine Learning (2022)
Posted on
March 3, 2023
by
‍

Salary Survey Extra is a series of periodic dispatches that give added insight into the findings of our most recent Salary Survey. These posts contain previously unpublished Salary Survey data.

‍

The HPE Product Certified - AI and Machine Learning (2022) credential is your hot ticket into a key field.

‍With the November 2022 advent and subsequent explosion in popularity of the ChatGPT app pioneered by OpenAI, the IT industry is abuzz with discussion of artificial intelligence (AI) and machine learning. AI and machine learning have been on the leading edge of IT R&D for a while now, but there has never been a better time to take a professional interest.‍

AI and machine learning certifications are likely to become a hot commodity, including the likes of HPE Product Certified - AI and Machine Learning (2022), No. 72 on our most recent Salary Survey 75 list. In HPE's words, this credential "verifies that you can design and support solutions through the use of HPE AI and Machine Learning Development Environment."

Here's what the salary picture looks like for HPE Product Certified - AI and Machine Learning (2022) holders who responded to the Salary Survey:

All U.S. Respondents
Average Annual Salary: $73,740
Median Annual Salary: $60,940
How satisfied are you with your current salary?
Completely Satisfied: 8.9 percent
Very Satisfied: 40.5 percent
Satisfied: 34.2 percent
Not Very Satisfied: 12.7 percent
Not At All Satisfied: 3.7 percent

All Non-U.S. Respondents
Average Annual Salary: $92,380
Median Annual Salary: $91,670
How satisfied are you with your current salary?
Completely Satisfied: 20.8 percent
Very Satisfied: 8.5 percent
Satisfied: 62.6 percent
Not Very Satisfied: 8.1 percent
Not At All Satisfied: [No responses]

The largest single body of HPE Product Certified - AI and Machine Learning (2022) holders to participate in the survey is made up of U.S. residents (76.7 percent of those surveyed), but we also heard from credential holders in 12 other countries: Afghanistan, Albania, Algeria, Antigua and Barbuda, Armenia, Australia, Benin, Cambodia, Colombia, United Arab Emirates, United Kingdom, and Vatican City.

AI and machine learning tend to be dominated by men, which is true here as well: just 10.3 percent of HPE Product Certified - AI and Machine Learning (2022) holders who responded to the survey are women, compared to 85.4 percent who are men. We also heard from 3.2 percent of respondents who chose not to identify their gender, as well as 0.2 percent who are transgender female, 0.7 percent who are transgender male, and 0.2 percent who are gender variant/nonconforming. This tends not to be a field where youth is served, with more than 80 percent of respondents age 35 or older, either between the ages of 35 and 44 (32.3 percent), between the ages of 45 and 54 (33.7 percent of respondents), between the ages of 55 and 64 (16.6 percent), or between the ages of 65 and 74 (2.7 percent). Among the remaining 15 percent of credential holders, nearly all are between the ages of 25 and 34 (14 percent of those surveyed), with just 0.7 percent between the ages of 19 and 24 and 0.1 percent age 18 or younger.

More than 95 percent of HPE Product Certified - AI and Machine Learning (2022) holders who responded to the survey have an educational background that includes time spent at a college or university. The highest level of education completed by most HPE Product Certified - AI and Machine Learning (2022) holders is either a master's degree (54.4 percent of respondents), bachelor's degree (20.4 percent), doctorate (9.7 percent), associate's degree (8.7 percent), or professional degree (1.9 percent). The outliers are the 3.9 percent of survey respondents who exited the realm of formal education after completing some level of post-high school technical training, and the 0.9 percent who topped out with a high school diploma.

An impressive 93.7 percent of HPE Product Certified - AI and Machine Learning (2022) holders who responded to the survey are employed full-time, with the remaining roughly 6 percent either working in part-time positions (2.1 percent), taking a sabbatical (1.5 percent), working while also a student (0.8 percent), or unemployed (1.9 percent). Among those who have full-time jobs, most have either a standard 40-hour work week (35.4 percent of respondents) or put in between 41 and 50 hours per week (39.6 percent). Of the remaining 25 percent of credential holders employed full-time, 10.2 percent work between 31 and 39 hours per week, 2 percent put in between 20 and 30 hours per week, 1.4 percent put in fewer than 20 hours per week, and 11.4 percent are on the clock for more than 50 hours per week.

There's no prevailing trend as to how much time HPE Product Certified - AI and Machine Learning (2022) holders are spending working from home. Roughly 35 percent of respondents are spending their entire work schedule at home, putting in either 40 hours per week without leaving the house (15.2 percent), or more than 40 hours per week (19.7 percent). In the middle are those who work from home either between 31 and 39 hours per week (13.9 percent of respondents), between 21 and 30 hours per week (14 percent), or between 10 and 20 hours per week (14.6 percent). That leaves 22.6 percent of those surveyed who are spending most of their time in a traditional office setting, working from home fewer than 10 hours per week.

In terms of workplace standing, the largest single group of HPE Product Certified - AI and Machine Learning (2022) holders we heard from (32.2 percent of respondents) are employed at the senior specialist level. The rest, in descending order, are either senior managers (17.9 percent of those surveyed), managers (17 percent), directors (12.6 percent), executives (8 percent), specialists (7.7 percent), or rank-and-file employees (4.6 percent).

A notable 52.8 percent of HPE Product Certified - AI and Machine Learning (2022) holders who responded to the survey are IT veterans, having worked in a role that directly utilizes one or more of their certified skills for more than a decade. The rest have been plying their certified skills for either between zero years (1 to 11 months) and 2 years (6 percent of those surveyed), between 3 and 5 years (17.9 percent), between 6 and 8 years (14.4 percent), or between 9 and 10 years (8.9 percent).

Finally, here's the view of HPE Product Certified - AI and Machine Learning (2022) holders on key questions from the survey about how certification impacts job performance:

At my current job I use skills learned or enhanced through certification:
Several times a day: 46.3 percent
Several times a week: 29.8 percent
Several times a month: 13.5 percent
Occasionally: 8.2 percent
Rarely: 2.2 percent

Since becoming certified, I feel there is greater demand for my skills.
Strongly agree: 40.4 percent
Agree: 39.2 percent
Neither Agree nor Disagree: 15.4 percent
Disagree: 3.3 percent
Strongly Disagree: 1.7 percent

Becoming certified has increased my problem-solving skills.
Strongly agree: 27.1 percent
Agree: 41.5 percent
Neither Agree nor Disagree: 22.9 percent
Disagree: 5.6 percent
Strongly Disagree: 2.9 percent

Becoming certified has increased my workplace productivity.
Strongly agree: 23.8 percent
Agree: 39.2 percent
Neither Agree nor Disagree: 28 percent
Disagree: 5.8 percent
Strongly Disagree: 3.2 percent

‍

About the Author

Certification Magazine was launched in 1999 and remained in print until mid-2008. Publication was restarted on a quarterly basis in February 2014. Subscribe to CertMag here.

Posted to topic:
Jobs and Salary