Join our webinars and live training sessions to learn how to build a data-driven organization. Even if you can’t attend live, we encourage you to register to receive a link to the on-demand recording.
For previously recorded webinars, view our on-demand webinars.
Ayesha Temuri, a renowned AI Strategy Consultant, will explore how telecommunications companies can successfully adopt generative AI. You’ll learn about high-impact use cases specific to the industry, the common barriers to implementation, and the strategies needed to overcome them.
This hands-on code-along session is designed to change that by breaking down fundamental Java concepts and core Object-Oriented Programming (OOP) ideas into clear, simple steps. Participants will explore the essentials of Java programming, including variables, control flow, classes, objects, attributes, and methods. Along the way, foundational Object-Oriented Programming (OOP) principles, such as encapsulation and abstraction, will be introduced and explained through practical, relatable examples, without delving into complex application building.
In this presentation, three data experts from AXA UK, will share how the company built its data and AI training program from the ground up. You’ll learn how AXA defined learning personas to shape tailored curricula, created a scalable academy, and boosted engagement with proven strategies.
Luca Bianchi, the Field CTO at Neosperience, will guide you through the key AWS tools for machine learning. You’ll learn how to get started with machine learning in SageMaker, explore AI capabilities in Bedrock, and gain insights into leveraging AWS’s ecosystem to streamline your projects.
Colin Cosgrove, Founder at Movizmo Coaching Solutions, will explore how AI can be integrated into L&D programs to improve outcomes and learner satisfaction.
Aimée Gott, Learning Solutions Architect at DataCamp, will show you how to get started with Python and SQL using ChatGPT as your guide. You’ll learn how to prompt AI to explain key concepts, clarify each line of code, and support your learning as you explore your first dataset. Whether you’ve never coded before or just want a gentler entry into data work, this session will help you take your first steps—with understanding, not overwhelm.
Philippe Wellens, CEO & Co-founder at Kleio, Matt Glickman, CEO & Co-founder at Genesis Computing, and Rahul Sonwalker, CEO & Co-founder at Julius AI, will share how to successfully integrate AI agents into your business strategy. You’ll explore high-value use cases, learn how to align AI agents with your organization’s broader AI and business goals, and gain practical insights into assessing and mitigating risk.
Sanjay Srivastava, Chief Digital Officer at GENPACT, and Marianna Bonanome, Head of AI Strategy & Partnerships at SandboxAQ, will lead discuss how AI agents are transforming business operations and workforce planning. You’ll learn how to reengineer processes to integrate agents, identify the most valuable skills for building and using them, and determine when agents can act autonomously versus under supervision.
John Ratzan, Senior Managing Director at Accenture, and Sam Khalil, CEO & Founder at a stealth AI agent startup, will host a discussion with industry experts on how to build and deploy AI agents that work in real business environments. You’ll learn about proven development workflows, architectural patterns that support scalability and adaptability, and how to align agent development with strategic objectives.
Amanda Crawford-Adamo, an experienced data engineer, will walk you through collaborative data engineering practices using Git. You’ll learn how to manage data workflows with version control, explore advanced Git techniques like branching strategies and repository organization, and dive into a real-world case study about collaborating on a data pipeline. This session is perfect for data and software engineers looking to improve the way they build, share, and scale data infrastructure.
Bilge Yücel, a Developer Relations Engineer at deepset, will demonstrate how to create an AI agent using the Haystack framework. You’ll explore how to build a simple AI agent designed to automatically resolve GitHub issues, walk through a real-world case study, and learn how similar agents can be applied to streamline both software development and data science workflows. This session is ideal for AI and software engineers eager to bring intelligent automation into their daily work.
Richie Cotton, Senior Data Evangelist at DataCamp, and Lynn Heidmann, VP of Product Marketing at DataCamp, will walk you through the upcoming roadmap for Q2. You’ll get insights into new content from the curriculum team, discover gamification initiatives aimed at boosting engagement, and learn about upcoming certifications—especially for aspiring AI Engineers.
In this first session of a two-part series, Abi Aryan, Founder at Abide AI, will introduce the core concepts behind RAG and its role in modern AI systems. You’ll learn about key RAG pipeline components, common architecture patterns, and the principles of evaluating and monitoring RAG performance.
In this second session of a two-part series, Abi Aryan, Founder at Abide AI, will walk you through how to build a RAG-powered chatbot using Python. You’ll learn how to construct the RAG pipeline, evaluate response quality, and apply it to a real-world use case: creating a chatbot that can answer user questions about the NYSE
Frank Nillard, will guide you through building your first AI agent using n8n. You’ll learn how to get started with this no-code platform, create an AI agent that automates any sorts of workflows, and walk through a real-world use case from start to finish.
Tanya Akumu, an AI Researcher at University of Barcelona, will demonstrate how to use Hugging Face tools to analyze ultrasound image data. You’ll learn how to apply AI models to image data, explore techniques for interpreting results, and work through a real-world use case focused on improving fetal health outcomes.
Francisco Quintana, a Senior Machine Learning Engineer at Huda Beauty, will walk you through building a portfolio management AI agent using Google Gemini and Vertex AI. You’ll learn how to retrieve and process investment data using AI, explore the fundamentals of portfolio management, and create an agent that can support financial decision-making.
Helen Marshall, Chief Learning Officer at Thrive, will share practical strategies for creating and nurturing a learning community that enhances training outcomes.