Intro to Vertex AI, unified MLOps platform for Data Scientists & ML Engineers
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This document introduces ServerlessToronto.org and provides information about upcoming events. It discusses how adopting a serverless mindset can help companies accelerate by shifting the focus from infrastructure to business outcomes. It promotes bridging the gap between business and IT through serverless consulting services and knowledge sharing events. Upcoming events are listed, and there is an offer to be a raffle winner for a Manning e-book. The final sections provide information about an upcoming presentation on Google's Vertex AI platform for machine learning.
Intro to Vertex AI, unified MLOps platform for Data Scientists & ML Engineers
- 1. Welcome to ServerlessToronto.org 1 Intro to Vertex AI
- 2. Serverless Evolution (since FaaS started) 2 Serverless is New Agile & Mindset #1 We started as Back- end FaaS (Serverless) Developers who enjoyed “gluing” other people’s APIs and Managed Services) #3 We're obsessed by creating business value (meaningful MVPs, Products), focusing on Outcomes – NOT Outputs, and we mesh well with Product Managers #2 We build bridges between Serverless Community (“Dev leg”), and Front-end, Voice-First & UX folks (“UX leg”) #4 Achieve agility NOT by “sprinting” faster (like in Scrum), but working smarter (by using bigger building blocks and less Ops)
- 3. Disconnect between IT & Business needs 3 How to help companies accelerate? Technology is not the point => We are here to create Value Adopting Serverless Mindset allowed us to shift the focus from “pimping up our cars” (infrastructure/code), towards “driving” (the business) forward. ≠
- 4. Let’s bridge the Businesses & IT Gap by: 4 1. Introducing new Serverless & Managed Services (to add to your Tool Kit), 2. covering Business-focused topics (to bring fresh perspectives, new viewpoints) 3. offering free Second Opinions on Application/Data Architecture modernization (to Businesses), 4. offering for-fee Consulting service (regardless of how short they are). Fill the survey to Start the Conversation or to Help us serve you better: https://forms.gle/oH2ZTnSgMTH41xsg7
- 5. Upcoming ServerlessToronto.org Meetups 5 1) An Evening with Felipe Hoffa – Big Data guru from Snowflake 2) James Beswick's AWS re:Invent 2021 Recap... and more 3) Retail Analytics & Business Intelligence with Looker, BigQuery and GCP – Leigha Jarett YOUR “This is my Architecture” style presentations are welcome! Regardless how big or small your learning & sharing will be ☺ Please rate us on Meetup & tell others about #ServerlessTO UG
- 6. Knowledge Sponsor 1. Go to www.manning.com 2. Select *any* e-Book, Video course, or liveProject you want! 3. Add it to your shopping cart (no more than 1 item in the cart) 4. Raffle winners will send me the emails (used in Manning portal), 5. So the publisher can move it to your Dashboard – as if purchased. Fill the survey to win!
- 7. 7 Feature Presentation Jarek Kazmierczak & Brian Kang from Google
- 8. Proprietary + Confidential Brian Kang Jarek Kazmierczak Vertex AI
- 9. Vertex AI is a unified development and deployment platform for data science and machine learning. 2
- 11. Proprietary + Confidential MLOps: high-level workflow
- 12. Proprietary + Confidential Core MLOps Technical Capabilities
- 13. Deep Learning Environment (DL VM + DL Container) Data Readiness Feature Engineering Training/ HP-Tuning Model Monitoring Model serving Understanding/ Tuning Edge Model Management Workbench no-code/ low code workflow Custom development workflow Infrastructure services / Add-ons One comprehensive end to end platform for everything AI One unified experience to create, deploy, and manage models over time, at scale Tools for all levels of expertise Accuracy and fairness of predictions and resulting decisions Flexible and secure AutoML Vision Translation Tables Language Video Data Labeling Prediction Feature Store Training Experiments Pipelines (Orchestration) Explainable AI Hybrid AI Continuous Monitoring Metadata AI Accelerators Vizier Optimization Datasets Forecast Bigquery ML
- 14. MLOps on Vertex AI Trained model Pipeline components Container Registry Code Repository Cloud Source Repo Code & configs Pipeline artifacts CI/CD Cloud Build Experimentation and development Workbench CT pipeline Vertex Pipelines Enterprise Features Vertex Feature Store Experiment Mngmt Vertex Experiments ML metadata Vertex Metadata Deployed Model Vertex Prediction Alert & Trigger Model Monitoring Model Registry CI/CD Cloud Build ML Datasets Vertex Datasets
- 15. Thank you
- 16. Proprietary + Confidential What customers and Googlers like about Vertex Services are similar Runs on containers, code often packages as containers, similar methods to create/delete Integrations Well integrated with Cloud Storage, BigQuery Workbench Fully managed / user managed notebooks w/ prebuilt libraries and frameworks Scalable Fully managed services that scale and have access to GPUs and TPUs SDK Nearly everything can be written as code Preview
- 17. Proprietary + Confidential Workbench Local model development 1 Distributed training 2 Integrating w/ CI/CD pipelines for continuous training 3 Vertex Pipelines 4 5 6 Model monitoring Demo agenda
- 18. Join www.ServerlessToronto.org Home of “Less IT Mess”