Welcome to our study group! 

We are working toward passing the Google Cloud Professional Machine Learning Engineer certification exam. 

• There is homework to be completed before each session. See below. The number of labs and quizzes are listed to give you some sense of how much work is involved, since it can vary significantly between courses.

This Certification Study Group offers:

• 7 live, online sessions to go through certification content and exam questions
• An online community and Slack group where you can ask questions and share your knowledge
• Video courses and hands-on training on Cloud Skills Boost, Google Cloud's training platform

Our Schedule

Homework to be done before Session 0 on May 23:

• There is no homework, but you might want to review the certification info, certification exam guide, and sample questions.
• Session 0 will provide a soft start to convene the group, get to know one another, and make sure we're on the same page about expectations before we set out on the road to certification.

Homework to be done before Session 1 on June 6:

• Course: Google Cloud Big Data and Machine Learning Fundamentals (4 labs, 5 quizzes)
• Course: How Google does Machine Learning (3 labs, 6 quizzes)
• Quest: Perform Foundational Data, ML, and AI Tasks in Google Cloud (10 labs, including a challenge lab)

Homework to be done before Session 2 on June 20:

• Course: Launching into Machine Learning (6 labs, 6 quizzes)
• Course: TensorFlow on Google Cloud (6 labs, 4 quizzes)

Homework to be done before Session 3 on June 27:

• [Note] This session is a week earlier than usual due to Independence Day in the United States.
• Course: Feature Engineering (6 labs, 6 quizzes)
• Course: Machine Learning in the Enterprise (9 labs, 5, quizzes)

Homework to be done before Session 4 on July 18:

• Course: Production Machine Learning Systems (8 labs, 4 quizzes)
• Course: Computer Vision Fundamentals with Google Cloud (9 labs, 5 quizzes)

Homework to be done before session 5 on August 1:

• Course: Natural Language Processing on Google Cloud (5 labs, 5 quizzes)
• Quest: Build and Deploy Machine Learning Solutions on Vertex AI (5 labs, including a challenge lab)
• Course: Recommendation Systems on Google Cloud (5 labs, 5 quizzes)

Homework to be done before session 6 on August 15:

• Course: MLOps (Machine Learning Operations) Fundamentals (7 labs, 16 quizzes)
• Course: ML Pipelines on Google Cloud (6 labs, 0 quizzes)

Google Cloud documentation is an excellent resource as well.