Google Cloud Certified Associate Cloud Engineer
Take a look at this beauty:
I took the Associate Cloud Engineer certification test two days ago and passed! Google emailed me last night with the link to my certificate. I am over the moon!
I was a bit naive going into the course, but I am glad I stuck with it to the end. It was not a tiny detour. These are some of the topics we covered in the ACE course at A Cloud Guru:
- Intro to the Google Cloud Platform, Products, and Services
- Google Cloud Storage
- Google Compute Engine
- Security
- Networking
- Google Kubernetes Engine
- Google App Engine
- Services (Databases, Machine Learning, Big Data, Operations, etc.)
I wrote about my experience in the ACG forums. I am not going to lie, and it was pretty hard. I watched all the videos, practiced the labs, and did the extra work. Even though I felt confident going into the test, there were many questions where I thought two of the answers could be correct, and it was hard to choose the right one.
During the ACE course, I started to get afraid this big data detour was too much and that it was taking me away from data science. However, I looked at ACG’s GCP Data and Machine Learning path, and it became clear how things would tie up in the end.
These are all the courses in the GCP Data and Machine Learning path:
- Novice Level
- Intro to Cloud Computing
- Google Cloud Concepts
- Intro to Google Cloud
- Linux Operating System Fundamentals
- Apprentice Level
- Cost Control on GCP
- Google Cloud Essentials
- Practitioner
- Machine Learning for Absolute Beginners
- Introduction to Python Development
- Google Certified Associate Cloud Engineer
- Google Cloud IAM Deep Dive
- Professional
- Intro to Machine Learning
- Google Certified Professional Data Engineer
- Google Cloud AI Services Deep Dive
- Google Cloud SQL Deep Dive
- Guru
- Google Cloud Certified Professional Cloud Developer
- Google Cloud Certified Professional Machine Learning Engineer
I am currently at the Practitioner level. I have to do two more courses before starting the Professional level. It will take some time, but I believe once I finish all the courses and get the certification as Machine Learning Engineer, I will be a much better Data Scientist.
For now, I will get started on the capstone projects (EDS and HarvardX) that I left on hold.