Try:

Google Vertex AI: From Custom Model Training to Production MLOps

Build scalable ML systems on Google Cloud. Sessions cover Vertex AI Pipelines, Feature Store, and best practices for automating model training and deployment workflows.

Matching moments

Evaluating the state of current monitoring solutions
04:17 MIN

Evaluating the state of current monitoring solutions

Deployed ML models need your feedback too

Finding generative AI learning paths and skill badges
02:36 MIN

Finding generative AI learning paths and skill badges

The Cloud is Calling: Answer with In-Demand Skills

Improving LLM accuracy with grounding techniques
00:59 MIN

Improving LLM accuracy with grounding techniques

Lessons Learned Building a GenAI Powered App

The technical architecture of the GenAI quiz app
05:37 MIN

The technical architecture of the GenAI quiz app

Lessons Learned Building a GenAI Powered App

Implementing the end-to-end MLOps pipeline
01:45 MIN

Implementing the end-to-end MLOps pipeline

How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)

Using open source Gemma for local AI processing
03:49 MIN

Using open source Gemma for local AI processing

What’s New with Google Gemini?

Mitigating LLM hallucinations with data grounding
02:44 MIN

Mitigating LLM hallucinations with data grounding

How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge

Vector search as the memory layer for RAG and Agentic AI
05:19 MIN

Vector search as the memory layer for RAG and Agentic AI

How to Decipher User Uncertainty with GenAI and Vector Search

AI demo for generating cybersecurity graph models
06:03 MIN

AI demo for generating cybersecurity graph models

From Tables to Graphs in Minutes: Supercharging Kusto Graph Analytics with AI-Powered Development

Evaluating real and fake AI applications
00:43 MIN

Evaluating real and fake AI applications

Fake or News: LLMs Protect Each Other, Google Predicts Floods, and GitHub Copilot Loves COBOL - Niels Leenheer

How to get started with Google's Gemma models
02:24 MIN

How to get started with Google's Gemma models

Google Gemini: Open Source and Deep Thinking Models - Sam Witteveen

Implementing on-device AI with the Chrome AI API
11:35 MIN

Implementing on-device AI with the Chrome AI API

WeAreDevelopers LIVE – AI vs the Web & AI in Browsers

Automating graph creation with a custom AI assistant
03:57 MIN

Automating graph creation with a custom AI assistant

From Tables to Graphs in Minutes: Supercharging Kusto Graph Analytics with AI-Powered Development

Using AI for data-driven and personalized spaces
05:07 MIN

Using AI for data-driven and personalized spaces

The Neuro-Architecture of Productivity: How Work Environments Impact Cognitive Performance

Understanding the roles of Gemini and Gemma models
02:27 MIN

Understanding the roles of Gemini and Gemma models

Google Gemma and Open Source AI Models - Clement Farabet

Demo of an AI agent creating a restaurant map
01:40 MIN

Demo of an AI agent creating a restaurant map

MCP Mashups: How AI Agents are Reviving the Programmable Web

AI's impact on developer efficiency and market value
01:51 MIN

AI's impact on developer efficiency and market value

Panel: How AI is changing the world of work

The rise of general-purpose GPU computing
01:40 MIN

The rise of general-purpose GPU computing

Accelerating Python on GPUs

Guiding AI image generation with visual inputs
05:21 MIN

Guiding AI image generation with visual inputs

Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative

Using AI to create guided product experiences
05:51 MIN

Using AI to create guided product experiences

What’s New with Google Gemini?

Integrating AI across the entire business value chain
03:27 MIN

Integrating AI across the entire business value chain

Software is the New Fuel, AI the New Horsepower - Pioneering New Paths at Mercedes-Benz

How venture capitalists use AI for deal sourcing
03:03 MIN

How venture capitalists use AI for deal sourcing

The AI Hype Filter: What’s Real, What’s Investable, What’s Noise?

Building custom AI solutions with a three-step process
01:28 MIN

Building custom AI solutions with a three-step process

Secure and Private AI - DeepMask

How AI models are becoming smaller and more efficient
02:53 MIN

How AI models are becoming smaller and more efficient

Google Gemini: Open Source and Deep Thinking Models - Sam Witteveen

Imagining the five levels of an AI travel concierge
03:34 MIN

Imagining the five levels of an AI travel concierge

Every CEO needs a digital twin to understand the scope of generative AI

Mapping AI capabilities to autonomous driving levels
03:44 MIN

Mapping AI capabilities to autonomous driving levels

Every CEO needs a digital twin to understand the scope of generative AI

How to easily vectorize data in the Astra DB UI
03:14 MIN

How to easily vectorize data in the Astra DB UI

Accelerating GenAI Development: Harnessing Astra DB Vector Store and Langflow for LLM-Powered Apps

Integrating AI with existing enterprise data sources
02:51 MIN

Integrating AI with existing enterprise data sources

Semantic AI: Why Embeddings Might Matter More Than LLMs

How venture capital firms use AI for their operations
04:07 MIN

How venture capital firms use AI for their operations

AI Changed the Game: How VCs Rethink Product, Talent & Technical Moats

The convergence of AI and business intelligence tools
05:36 MIN

The convergence of AI and business intelligence tools

Python Data Visualization @ Deepnote (w/ PyViz overview)

Using professional embedding models and vector databases
03:50 MIN

Using professional embedding models and vector databases

Build RAG from Scratch

Understanding the core components of a GenAI stack
04:45 MIN

Understanding the core components of a GenAI stack

Building Products in the era of GenAI

Using AI for deeper and holistic data analysis
00:51 MIN

Using AI for deeper and holistic data analysis

Valven Atlas: Engineering Intelligence That Delivers

A vision for conversational AI in job discovery
02:33 MIN

A vision for conversational AI in job discovery

Gen AI will replace Job Boards, are you ready?

Designing an advanced AI agent for customer service emails
05:46 MIN

Designing an advanced AI agent for customer service emails

AI Agents Graph: Your following tool in your Java AI journey

Key milestones in the evolution of AI and GPU computing
02:44 MIN

Key milestones in the evolution of AI and GPU computing

AI Factories at Scale

Matching Videos

Exploring LLMs across clouds
28:38

Exploring LLMs across clouds

Tomislav Tipurić

Deployed ML models need your feedback too
37:24

Deployed ML models need your feedback too

David Mosen

Exploring Google Gemini and Generative AI
38:19

Exploring Google Gemini and Generative AI

Vision for Websites: Training Your Frontend to See
34:34

Vision for Websites: Training Your Frontend to See

Daniel Madalitso Phiri

How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge
42:26

How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge

Meta Atamel & Guillaume Laforge

The state of MLOps - machine learning in production at enterprise scale
47:19

The state of MLOps - machine learning in production at enterprise scale

Bas Geerdink 

How to Decipher User Uncertainty with GenAI and Vector Search
24:47

How to Decipher User Uncertainty with GenAI and Vector Search

Ben Greenberg

How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)
27:23

How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)

Dora Petrella

Lessons Learned Building a GenAI Powered App
30:07

Lessons Learned Building a GenAI Powered App

Mete Atamel

AI is an Electric Bike for the Brain - Stoyan Stefanov
44:41

AI is an Electric Bike for the Brain - Stoyan Stefanov

Creating bots with Dialogflow CX
55:27

Creating bots with Dialogflow CX

Xavier Portilla Edo

The Cloud is Calling: Answer with In-Demand Skills
21:23

The Cloud is Calling: Answer with In-Demand Skills

Asrar Khan

Google Gemma and Open Source AI Models - Clement Farabet
47:25

Google Gemma and Open Source AI Models - Clement Farabet

What’s New with Google Gemini?
1:00:43

What’s New with Google Gemini?

Logan Kilpatrick

Google Gemini: Open Source and Deep Thinking Models - Sam Witteveen
50:12

Google Gemini: Open Source and Deep Thinking Models - Sam Witteveen

Sam Witteveen

Enter the Brave New World of GenAI with Vector Search
1:00:56

Enter the Brave New World of GenAI with Vector Search

Mary Grygleski

AI Changed the Game: How VCs Rethink Product, Talent & Technical Moats
29:32

AI Changed the Game: How VCs Rethink Product, Talent & Technical Moats

Christian Nagel, Romain Mombert, Shikha Ahluwalia & Justus Lumpe

Building APIs in the AI Era
32:28

Building APIs in the AI Era

Hugo Guerrero

Should we build Generative AI into our existing software?
24:51

Should we build Generative AI into our existing software?

Simon Müller

Graphs and RAGs Everywhere... But What Are They? - Andreas Kollegger - Neo4j
46:51

Graphs and RAGs Everywhere... But What Are They? - Andreas Kollegger - Neo4j

Developer Productivity Using AI Tools and Services - Ryan J Salva
59:16

Developer Productivity Using AI Tools and Services - Ryan J Salva

Ryan J Salva

Generate AI in the Browser with Chrome AI - Raymond Camden
36:41

Generate AI in the Browser with Chrome AI - Raymond Camden

Raymond Camden

Your Next AI Needs 10,000 GPUs. Now What?
29:52

Your Next AI Needs 10,000 GPUs. Now What?

Anshul Jindal & Martin Piercy

What comes after ChatGPT? Vector Databases - the Simple and powerful future of ML?
59:38

What comes after ChatGPT? Vector Databases - the Simple and powerful future of ML?

Erik Bamberg

From foundation model to hosted AI solution in minutes
18:33

From foundation model to hosted AI solution in minutes

Kevin Klues

AI Agents Graph: Your following tool in your Java AI journey
30:38

AI Agents Graph: Your following tool in your Java AI journey

Alex Soto

Exploring the Future of Web AI with Google
33:51

Exploring the Future of Web AI with Google

Thomas Steiner

Every CEO needs a digital twin to understand the scope of generative AI
30:30

Every CEO needs a digital twin to understand the scope of generative AI

Kai Mueller & Sebastian Luxem

Hybrid AI: Next Generation Natural Language Processing
21:01

Hybrid AI: Next Generation Natural Language Processing

Jan Schweiger

Building Real-Time AI/ML Agents with Distributed Data using Apache Cassandra and Astra DB
28:20

Building Real-Time AI/ML Agents with Distributed Data using Apache Cassandra and Astra DB

Dieter Flick

The Data Phoenix: The future of the Internet and the Open Web
35:06

The Data Phoenix: The future of the Internet and the Open Web

Prashanth Chandrasekar

Developing an AI.SDK
38:12

Developing an AI.SDK

Daniel Graff & Andreas Wittmann

GenAI after the Hype: Transforming Organizations with GenAI-based Agents
29:26

GenAI after the Hype: Transforming Organizations with GenAI-based Agents

Alexander Birke & Silke Eggert

Building Products in the era of GenAI
59:39

Building Products in the era of GenAI

Julian Joseph

Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative
29:27

Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative

David Estevez

AI is the Future of Accessibility - Karl Groves
29:28

AI is the Future of Accessibility - Karl Groves

Karl Gvoves