Leverage Google Cloud Observability when instrumenting your code with logging, monitoring, and tracing capabilities. Try it out yourself in one of the popular programming languages, such as Java, Python, JavaScript, or Go.

Dan will cover his Python-driven services for high-performance AI applications used in the pharmaceutical industry. Neural Networks and drug-like molecule databases of billions of compounds will be covered. How do you query a billion objects in Python quickly? Dan will show how to cheat with custom C code to extend Python to enable new tricks. Demo site - https://do.dotmatics.net/

Hands-on, beginner-friendly workshop covering LLM basics, Python, LangChain, LangGraph, retrieval-augmented generation (RAG), prompt engineering, LangChain introduction, and workflow automation with LangGraph, including a live demo of building your first AI agent.

A beginner-friendly workshop covering how LLMs work, NLP basics, transformers & attention, prompt engineering, and building AI agents with Retrieval-Augmented Generation (RAG). Includes a live demo: Your First AI Agent.

Building intelligent AI agents is no simple task. With Microsoft Foundry Agent Service, you can rapidly create and deploy robust agents with the security, scalability, and integrations of Azure. In this walkthrough, we’ll build an agent that combines live data, reasoning, and dynamic tool usage. Using Azure Functions for real APIs and W&B Weave for detailed tracking, you’ll learn setup, tool registration, data endpoints, and Python-based interaction.

Session on data manipulation with pandas.

Pandas basics, Series, and DataFrame structures, loading/saving data, data selection, and filtering.

Interviewing for a Data Science position can feel daunting. This workshop will cover everything you need to know to prepare yourself for interviewing and succeed in landing your preferred Data Science job. I will break down the complete, start-to-finish components of the process—from job applications to offer negotiations—to help you feel confident and maximize your interview experience. Topics covered include: understanding the different flavors of Data Science positions and what best suits you; tailoring your resume to land the interview; technical skills: what to expect and how to prepare your skills in statistics, Python, ML, SQL, and more; communication skills: how to communicate your experiences and stand out; general tips for acing your interviews and negotiating your offers.

Data loading with Python in Elasticsearch.

Introduction to Stock Market; Python Programming Fundamentals; Stock Market Data Analysis; Time Series Analysis in Finance; Machine Learning for Stock Market Prediction

An introduction to using Python with Pulumi to provision cloud resources.

This talk will guide you through the initial steps of integrating LM Studio with Elastic. We'll discuss how to establish a connection to LM Studio using a connector, conduct tests, and begin developing an RAG application in Python.

Unlock the power of code execution with Gemini 2.0 Flash! This hands-on lab demonstrates how to generate and run Python code directly within the Gemini API. Learn to use this capability for tasks like solving equations, processing text, and building code-driven applications.

If you register for a Learning Center lab, please ensure that you sign up for a Google Cloud Skills Boost account for both your work domain and personal email address. You will need to authenticate your account as well (be sure to check your spam folder!). This will ensure you can arrive and access your labs quickly onsite. You can follow this link to sign up!

A beginner-friendly workshop exploring how Python and pandas can revolutionize data analysis. Learn to analyze data efficiently, automate repetitive tasks, and handle larger datasets. We'll replicate and surpass Excel functionality in Python, with an introduction to Pandas AI for querying datasets in natural language.

A hands-on tutorial for the Python pandas library covering data manipulation, cleaning, integration, and wrangling of tabular data.

Immersive workshop on time series analysis and forecasting using Python, covering introduction to time series analysis, exploratory data analysis, traditional and advanced forecasting models, evaluation and model selection, and handling seasonality and trends.

Dr. Yasin Ceran presents a comprehensive workshop on time series forecasting models and techniques.

Build a multi-agent application leveraging MCP (Model Context Protocol) with the Microsoft Agent Framework in C# or LangGraph in Python, integrated with Azure Cosmos DB for scalable and high-performance data persistence and retrieval. Define agents, functions, and external service integrations, implement memory, state management, and semantic search using Azure Cosmos DB. By the end, you’ll have a robust AI agent system designed for real-world applications.

Session about Microsoft Fabric Notebooks, basics of Python and Spark, using Notebooks to write and run code, leveraging CoPilot for code suggestions and corrections, and using SemPy to enrich Power BI development with advanced analytics.

In this workshop, you will learn the fundamentals of infrastructure as code through guided exercises. You will be introduced to Pulumi and learn how to use programming languages to provision modern cloud infrastructure. This workshop is designed to help new users become familiar with the core concepts needed to deploy resources on AWS effectively.