Certifications

These listings are all formal programs that require some amount of work to pass.  None are “pass-by-attending” classes.  I have taken such courses, and some have been very valuable (networktocode.com, Stanford executive education – negotiation & m&a, Berkeley executive education – pricing, have been particularly good) but they’re not listed below.  Most are independently verifiable via the links provided.  A couple quick notes:

• I generally don’t list anything that took less than a week to get through
• When I put an estimate such as “x hours” I took the number from the syllabus or course page.  I found my actual time spent varied widely, most notably with AI-related courseware taking longer.  

Formal Accreditations – by exam

• Certified Information Systems Security Professional (CISSP) by ISC2 2024
• Professional Scrum Master I (PSM I) by Scrum.org 2017
• Professional Scrum Product Owner I (PSPO I) by Scrum.org 2017

DeepLearning.AI Specializations

• Specializations – earned by passing multiple courses
  • Deep Learning via Coursera 2023 ~120 hours
  • DeepLearning.AI TensorFlow Developer via Coursera 2023 ~80 hours
• Additional Coursework
  • Generative AI with Large Language Models

Coursera.org Specializations

• Specializations – earned by passing multiple courses
  • Deep Learning by DeepLearning.AI 2023 ~120 hours
  • DeepLearning.AI TensorFlow Developer by DeepLearning.AI 2023 ~80 hours
  • Google Cybersecurity by Google 2023 ~168 hours
  • Programming with Google Go by U of CA, Irvine 2023 ~40 hours
  • Intro to Programming the Internet of Things (IOT) by U of CA, Irvine 2017 ~80 hours
• Additional Coursework
  • Crytography
  • Computing for Data Analysis in R

Other Courses

• edx.org PH525.1x: Statistics and R by HarvardX
• coursera / Stanford Online Game Theory
• stanford free online (now defunct) – Databases

In-Progress Activity

• IBM AI Engineering Professional Certificate (6 course specialization)- in progress
  • Machine Learning with Python – completed
  • Introduction to Deep Learning & Neural Networks with Keras – completed
  • four more classes to go…
• Mathematics for Machine Learning and Data Science (3 course specialization) – in progress
  • Linear Algebra – completed
  • Calculus – completed
  • Probability and Statistics – in progress

Stanford AI Professional Program

• to be updated…