Elevate Your AI/ML Career with GDG Cloud Boston and collaborating GDG Chapters
About the June 4 event (one of series).
The event is FREE.
Join the virtual meeting. (no in-person venue.)
Joining this event (checking in, not just registration)
will enable your access to the Google Skills learning platformStart time 6:30 PMWe will cover the Data Topic. Please watch the corresponding video prior to the session.
Machine Learning is transforming how we build software, and Google Cloud is at the forefront of this revolution. Join GDG Annapolis for a rigorous, 10-week structured study group designed to take you from a practitioner to a Google Cloud Professional Machine Learning Engineer.
This isn't just a reading group—it’s a collaborative environment designed to help you master the design, build, and productionizing of ML models at scale.
Why Join This Study Group?
The "Professional ML Engineer" exam is one of Google’s most challenging certifications, covering everything from framing ML problems to complex MLOps. To help you succeed, we are providing:
Weekly Deep Dives: Meet every Thursday to review core exam domains, clarify complex topics, and solve sample problems together.
Discord Communities: Gain access to a private Discord server where we will organize smaller "squads" for peer-to-peer accountability and support.
Curated Resource Packs: Receive custom-built study aids including NotebookLM summaries, distilled notes, and hands-on lab guides.
The Ultimate Incentive: Participants who consistently attend and complete the study milestones will be eligible for free exam vouchers (limited supply, provided upon request/completion).
10-Week Roadmap at a Glance
Week 1-2: ML Problem Framing & Architecting Low-Code Solutions (BigQuery ML & AutoML).
Week 3-4: Data Engineering for ML: Preprocessing, Feature Engineering, and Feature Store.
Week 5-6: Model Development: Custom Training on Vertex AI (TensorFlow, PyTorch, Scikit-learn).
Week 7-8: MLOps & Orchestration: Vertex AI Pipelines, CI/CD for ML, and Model Registry.
Week 9: Serving & Monitoring: Scaling predictions and detecting model drift.
Week 10: Final Review: Practice exams, "Responsible AI" strategies, and voucher distribution.
Who Should Attend?
Developers/Engineers looking to specialize in MLOps and production-grade AI.
Data Scientists who want to master the infrastructure side of Google Cloud.
Students aiming to enter the workforce with a high-value, professional-level certification.
Requirements
Basic familiarity with Python and SQL.
Commitment to ~5 hours of independent study per week.
A hunger to learn and help others in the community!
How to Get Started
RSVP to this event to receive the meeting link.
Review the Exam Guide: Official Certification Page
Agenda
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Speaker
Norbert Kremer - Analytics By Design (Data Warehouse and Data Lake Consultant, Google Developer Expert, Google Cloud Trainer)
Google Developer Expert (Data Cloud)
AI Engineer, Data EngineerTrustworthy AI (Data Quality, Agent security)AI GovernanceTrainer, Mentor
Hosted By
Lukas Karlsson, GDG Organizer
Lukas Karlsson is a the founder of Altissimo, a cloud consulting and services provider. He is a architect, developer advocate, public speaker, community organizer, and a certified Professional Cloud Architect. Previously, he spent twenty years supporting genomics research at the Broad Institute of MIT and Harvard.
Lukas is a Google Cloud Developer Expert in Cloud and leads the GDG Cloud Boston developer community and the Slack Boston community.
Roya Kandalan, Gen AI Research Scientist
Roya is a research scientist working on advancing artificial intelligence technologies. She has a PhD in Electrical Engineering, is a US patent holder, and has multiple publications in primary journals on electrical engineering, mathematics, and artificial intelligence. Her primary research interests are generative AI, computer vision, and pattern recognition. Roya has developed machine learning solutions for various applications, including healthcare, assistive technologies, and security.
She is enthusiastic about advancing science and passionate about women’s rights. She is a Google Developer Expert and Cloud Champion in AI/ML, a Google Woman’s Techmaker Ambassador, and a Google Developer Group co-organizer (Cloud Boston). She uses these platforms to enhance women’s confidence in the workplace and advocate for women's and non-binary individuals' rights.
Norbert Kremer, Cloud Solution Architect
Google Developer Expert (Data Cloud)
Cloud Solution Architect
Google Certified Professional Machine Learning Engineer, Data Engineer and Database Engineer
Co-organizer at GDG Cloud Boston
Cloud data warehouse expert (BigQuery, Redshift, Snowflake, Databricks, Teradata, Oracle)
Agentic AI application developer with ADK, MCP, A2A
Google Cloud Authorized Trainer
Marianne Ray, Staff Software Engineer
Uyanga (Melody) Jung, Data Scientist
Marissa Fisher, Principal Software Engineer
I am a passionate cloud developer on the cutting edge of research in the genetics of disease. I've been in the Boston area since 2015 working as a software engineer and volunteering with educational organizations, GDG being one of them. I'm always happy to connect with others and empower them on their journey through the technology space, be it locally or globally.
Linda Kovacs, Sr Software Engineer
Sr Software Engineer @ Accenture | Google Cloud Architect | AWS Cloud Engineer | Full Stack MERN | UX/UI Designer | Google Developer Group Lead & Women Techmakers Ambassador | Journalist: Radio, TV, Magazine🇺🇸🇮🇹🇷🇴
Complete your event RSVP here: https://gdg.community.dev/events/details/google-gdg-cloud-boston-presents-10-week-study-group-google-professional-machine-learning-engineer-certification-pmle/.
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