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Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q03HZj780

This hands-on workshop gives you experience taking your AI agent from prototype to production. First, you’ll build and deploy a secure MCP server on Google Cloud Run and implement authentication for authorized agents. Next, you’ll use the Agent Development Kit (ADK) to build and deploy an agent that uses the secure MCP server to accomplish its goals. We will also provide additional materials to show you how to deploy your agent to a GPU-accelerated Cloud Run instance for maximum power.

Speaker: Shir Meir Lador, AI Leader at Google

She is also the co-host of “The agent factory” podcast that dives into building production-ready AI agents. Previously, she worked as the AI group Manager of the Document Understanding Group at Intuit, where she led teams in developing AI services that helps consumers and small businesses prosper. Prior to intuit, Shir worked at 2 Israeli startups as a data scientist and researcher. A recognized leader in AI and data science, Shir has served as WiDS Tel Aviv Ambassador, KDD workshop organizer, co-founder and organizer of PyData Tel Aviv, and the co-host of “Unsupervised” a podcast exploring the latest in data science in Israel. She frequently speaks at international AI and data science conferences, sharing insights on applied machine learning and AI innovation. Shir holds an M.Sc. in Electrical Engineering and Computers from Ben-Gurion University, specializing in machine learning.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 ODSC blog: https://opendatascience.com/ Facebook: https://www.facebook.com/OPENDATASCI Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science Slack Channel: https://hubs.li/Q038cQBy0 Code of conduct: https://odsc.ai/code-of-conduct/

WEBINAR "AI Agent from Prototype to Production"

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q03HZj780

This hands-on workshop gives you experience taking your AI agent from prototype to production. First, you’ll build and deploy a secure MCP server on Google Cloud Run and implement authentication for authorized agents. Next, you’ll use the Agent Development Kit (ADK) to build and deploy an agent that uses the secure MCP server to accomplish its goals. We will also provide additional materials to show you how to deploy your agent to a GPU-accelerated Cloud Run instance for maximum power.

Speaker: Shir Meir Lador, AI Leader at Google

She is also the co-host of “The agent factory” podcast that dives into building production-ready AI agents. Previously, she worked as the AI group Manager of the Document Understanding Group at Intuit, where she led teams in developing AI services that helps consumers and small businesses prosper. Prior to intuit, Shir worked at 2 Israeli startups as a data scientist and researcher. A recognized leader in AI and data science, Shir has served as WiDS Tel Aviv Ambassador, KDD workshop organizer, co-founder and organizer of PyData Tel Aviv, and the co-host of “Unsupervised” a podcast exploring the latest in data science in Israel. She frequently speaks at international AI and data science conferences, sharing insights on applied machine learning and AI innovation. Shir holds an M.Sc. in Electrical Engineering and Computers from Ben-Gurion University, specializing in machine learning.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 ODSC blog: https://opendatascience.com/ Facebook: https://www.facebook.com/OPENDATASCI Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science Slack Channel: https://hubs.li/Q038cQBy0 Code of conduct: https://odsc.ai/code-of-conduct/

WEBINAR "AI Agent from Prototype to Production"

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q03HZj780

This hands-on workshop gives you experience taking your AI agent from prototype to production. First, you’ll build and deploy a secure MCP server on Google Cloud Run and implement authentication for authorized agents. Next, you’ll use the Agent Development Kit (ADK) to build and deploy an agent that uses the secure MCP server to accomplish its goals. We will also provide additional materials to show you how to deploy your agent to a GPU-accelerated Cloud Run instance for maximum power.

Speaker: Shir Meir Lador, AI Leader at Google

She is also the co-host of “The agent factory” podcast that dives into building production-ready AI agents. Previously, she worked as the AI group Manager of the Document Understanding Group at Intuit, where she led teams in developing AI services that helps consumers and small businesses prosper. Prior to intuit, Shir worked at 2 Israeli startups as a data scientist and researcher. A recognized leader in AI and data science, Shir has served as WiDS Tel Aviv Ambassador, KDD workshop organizer, co-founder and organizer of PyData Tel Aviv, and the co-host of “Unsupervised” a podcast exploring the latest in data science in Israel. She frequently speaks at international AI and data science conferences, sharing insights on applied machine learning and AI innovation. Shir holds an M.Sc. in Electrical Engineering and Computers from Ben-Gurion University, specializing in machine learning.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 ODSC blog: https://opendatascience.com/ Facebook: https://www.facebook.com/OPENDATASCI Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science Slack Channel: https://hubs.li/Q038cQBy0 Code of conduct: https://odsc.ai/code-of-conduct/

WEBINAR "AI Agent from Prototype to Production"

Pre-registration is REQUIRED. Add to your calendar - https://hubs.li/Q03HZj780

This hands-on workshop gives you experience taking your AI agent from prototype to production. First, you’ll build and deploy a secure MCP server on Google Cloud Run and implement authentication for authorized agents. Next, you’ll use the Agent Development Kit (ADK) to build and deploy an agent that uses the secure MCP server to accomplish its goals. We will also provide additional materials to show you how to deploy your agent to a GPU-accelerated Cloud Run instance for maximum power.

Speaker: Shir Meir Lador, AI Leader at Google

She is also the co-host of “The agent factory” podcast that dives into building production-ready AI agents. Previously, she worked as the AI group Manager of the Document Understanding Group at Intuit, where she led teams in developing AI services that helps consumers and small businesses prosper. Prior to intuit, Shir worked at 2 Israeli startups as a data scientist and researcher. A recognized leader in AI and data science, Shir has served as WiDS Tel Aviv Ambassador, KDD workshop organizer, co-founder and organizer of PyData Tel Aviv, and the co-host of “Unsupervised” a podcast exploring the latest in data science in Israel. She frequently speaks at international AI and data science conferences, sharing insights on applied machine learning and AI innovation. Shir holds an M.Sc. in Electrical Engineering and Computers from Ben-Gurion University, specializing in machine learning.

ODSC Links: • Get free access to more talks/trainings like this at Ai+ Training platform: https://hubs.li/H0Zycsf0 ODSC blog: https://opendatascience.com/ Facebook: https://www.facebook.com/OPENDATASCI Twitter: https://twitter.com/_ODSC & @odsc • LinkedIn: https://www.linkedin.com/company/open-data-science Slack Channel: https://hubs.li/Q038cQBy0 Code of conduct: https://odsc.ai/code-of-conduct/

WEBINAR "AI Agent from Prototype to Production"
Bastien Pouessel – Software Engineer
Houssem Mahmoud – Software Engineer @ BlaBlaCar
Karl Weinmeister – Head of Cloud Product Developer Relations @ Google Cloud
Cloud Computing GCP
Shir Lador – AI Leader @ Google
AI/ML
Guillaume Blaquiere – C2C France Leaders, Group Data Architect, GDE Cloud @ Carrefour
Cloud Computing

We talked about:

Shir’s background Debrief culture The responsibilities of a group manager Defining the success of a DS manager The three pillars of data science management Managing up Managing down Managing across Managing data science teams vs business teams Scrum teams, brainstorming, and sprints The most important skills and strategies for DS and ML managers Making sure proof of concepts get into production

Links:

The secret sauce of data science management: https://www.youtube.com/watch?v=tbBfVHIh-38 Lessons learned leading AI teams: https://blogs.intuit.com/2020/06/23/lessons-learned-leading-ai-teams/ How to avoid conflicts and delays in the AI development process (Part I): https://blogs.intuit.com/2020/12/08/how-to-avoid-conflicts-and-delays-in-the-ai-development-process-part-i/ How to avoid conflicts and delays in the AI development process (Part II): https://blogs.intuit.com/2021/01/06/how-to-avoid-conflicts-and-delays-in-the-ai-development-process-part-ii/ Leading AI teams deck: https://drive.google.com/drive/folders/1_CnqjugtsEbkIyOUKFHe48BeRttX0uJG Leading AI teams video: https://www.youtube.com/watch?app=desktop&v=tbBfVHIh-38

Free data engineering course: https://github.com/DataTalksClub/data-engineering-zoomcamp

Join DataTalks.Club: https://datatalks.club/slack.html

Our events: https://datatalks.club/events.html

Agile/Scrum AI/ML Data Engineering Data Science GitHub HTML
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Showing 11 results