Do you know how you’re being perceived in the workplace? Harris reveals 3 key things to know to create the most advantageous perception of yourself. Carla Harris (348) Carla Harris - YouTube Carla Harris - Senior Client Advisor | Morgan Stanley

About the event: Elevate Your AI/ML Career! 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.

The Confidence by Spotify Experimentation Bootcamp is a self-paced curriculum covering everything from why randomized controlled trials work to cumulative holdback evaluations and sequential testing trade-offs. Eleven courses, 72 lessons, built on ten years of running and iterating on Spotify's experimentation program for data scientists, engineers, PMs, and leaders. No account required to start. Create a free account to save your progress. https://confidence.spotify.com/bootcamp

"Eventually I will find new work. Who knows where." Interesting take on this industry. Gives you a lot to think about. Check it out. https://ky.fyi/posts/ai-burnout?

What would a little extra confidence mean to you as a business analysis professional? Confidence to ask better questions. Confidence to challenge assumptions. Confidence to influence decisions that shape strategy and drive meaningful outcomes. In this webinar, IIBA will explore how confidence becomes the catalyst that turns knowledge into impact—and professionals into change leaders. The panelists will share their experiences and practical strategies to help you step forward with clarity, credibility, and influence—even amid constant disruption and change. Confidence isn’t a personality trait. It’s not something you’re born with. It’s something you build. Join to discover what becomes possible when confidence leads the way. Register here: https://my.iiba.org/portal/s/community-event?id=a1UMm000005DmS9MAK&utm_source=pardot&utm_medium=email&utm_campaign=upcomingevent Business Analysis | The Global Standard | IIBA®