A precise forecast in the energy sector is becoming increasingly essential and significantly contributes to meeting sustainability guidelines. In this hands-on workshop, you will work with a real dataset, develop features for a forecasting model, and evaluate their significance.

During the workshop, you will analyze historical data, identify key trends, and assess the relevance of features. Through interactive group exercises, you will develop new features and tackle practical challenges using anonymized datasets.

This workshop combines theory, practice, and collaboration to equip you with the tools and insights needed to succeed in energy demand and supply forecasting.

Ready to elevate your AI applications beyond document retrieval? Join this hands-on workshop to build intelligent systems that combine the precision of Retrieval-Augmented Generation (RAG) with the autonomy of task-oriented AI agents.

Start by implementing a RAG pipeline for accurate information retrieval, then advance to creating agents that autonomously plan and execute complex tasks. Through guided exercises and real-world examples, you will learn when to use each approach and how to combine them effectively.

By the end of the session, you will have built a hybrid system capable of precise data retrieval and autonomous task execution—ready to tackle real-world challenges.

Dive into computer vision with deep learning through hands-on exercises using PyTorch. Learn to harness pre-trained Convolutional Neural Networks (CNNs) and optimize their performance through transfer learning. Using FiftyOne, you will visualize and analyze data augmentation strategies to fine-tune models effectively.

Perfect for developers seeking practical experience with deep learning, this workshop covers core concepts required for NVIDIA’s DLI Fundamentals certification. You will leave equipped with the skills to implement transfer learning and analyze augmentation impacts using open-source tools.

The adoption of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems introduces novel security risks, making sensitive data vulnerable to leakage through new attack vectors.

In this workshop, we will first introduce a general LLM/RAG architecture and pipeline. We will then discuss a systematic approach to identifying and mitigating security risks.

In the hands-on lab, you will conduct jailbreak attacks on a RAG system and implement effective mitigation strategies to protect your data.

With an increasing focus on the concept of “Infinite Interns,” achieving full autonomy in agentic systems poses a significant challenge. Our workshop is designed to explore different levels of autonomy within these systems and their applications in real-world scenarios.

Engage in a hands-on session and implement an LLM agent to automate a simple task. We will discuss regulatory and security implications based on our cybersecurity expertise. Additionally, we will explore scaling these systems to handle complex tasks, prompting an essential discussion on which tasks should remain “human” and which can be designated to an “agent.”

Join us to dive into the world of Infinite Interns, uncover the future of autonomous systems, and participate in engaging discussions about the ethical boundaries of task assignment. Don’t miss this opportunity to reshape your understanding and approach.

In an era where data privacy is paramount, this workshop offers a comprehensive exploration of data masking, pseudonymization, and anonymization techniques. You will gain hands-on experience with Python-based tools, learning to protect sensitive information while maintaining data utility.

We will delve into how Machine Learning and Artificial Intelligence can enhance these processes, ensuring robust data protection. Additionally, the workshop will cover applications in regulatory compliance, secure data sharing, and synthetic data generation for testing and development.

By the end, you will be equipped to implement effective data protection strategies, addressing both privacy concerns and practical data usage needs.

Transform the way you manage and scale your data projects with this hands-on workshop.
Discover how the integration of dbt and Airflow with Google Cloud can simplify your data journey, whether you are working in a small startup or a large enterprise.

Dive into the exciting world of AI agents with LangGraph! This interactive workshop blends crucial theoretical concepts with practical experience, equipping you with the skills to create and deploy sophisticated AI agents using this powerful framework.

Learn how to develop agents that can handle multi-step tasks while grasping important production factors. Through engaging exercises and real-world examples, you will explore how to build AI agents that maintain context, integrate with external tools, and scale efficiently in production environments.

Join us to bridge the gap between development theory and the practical application of AI agents!

Dive into the world of cloud-based data analytics and master Infrastructure-as-Code (IaC) in our hands-on workshop. Ideal for data professionals, this session provides insights into managing and deploying infrastructure in a scalable and reproducible manner, simplifying complex tasks. Start with understanding the fundamentals of IaC using Terraform, the industry’s most trusted tool, then advance to Terragrunt to learn how to deploy resources to the cloud efficiently across multiple environments. Engage in hands-on exercises throughout the workshop, where you will deploy your own cloud infrastructure to Azure using a laboratory environment provided by us. By the end, you will have a solid grounding in IaC and will have mastered the effective deployment of cloud resources using Terraform and Terragrunt.

Join us for “Causal Machine Learning: Understanding the ‘Why’ in Your Data,” where we will demystify the fundamentals of causal machine learning and its pivotal role in data-driven decision-making. This hands-on workshop will equip you with essential skills to uncover causal relationships and apply them to real-world challenges in academia and industry.

We will delve into key topics, including Double Machine Learning, recent advancements such as personalization, and effect heterogeneity. Whether you are tackling medical treatment personalization or optimizing marketing strategies, this workshop provides the tools and insights to enhance your decision-making with causal analysis.

Unlock the full potential of your AI initiatives by mastering data quality management. In this hands-on workshop, you will dive into real-world case studies to understand how data quality shapes AI performance and business outcomes.

Through hands-on exercises using industry-leading data quality testing frameworks, such as Deequ or Great Expectations, you will gain practical experience in implementing automated quality checks and solving real data challenges.

Collaborate with peers to share insights, tackle implementation hurdles, and leave equipped with actionable strategies to ensure your data supports trustworthy, high-performing AI. Perfect for anyone aiming to turn data into a strategic advantage.

This workshop offers a unique opportunity to explore Large Language Models (LLMs). LLMs represent the forefront of AI research and applications, making this workshop highly relevant and timely.

The interactive format ensures an engaging experience. While the panel promotes cross-industry sharing of experiences in the development and application of LLMs, the group discussion facilitates the identification of sector-specific and common challenges in this area and encourages customized solutions. The workshop aims to foster collaboration in a dynamic atmosphere, and encourage you to share experiences and spark innovative ideas.

With guest experts from academia and industries such as energy, healthcare, communications, and marketing, the workshop guarantees a broad audience and actionable insights. You will leave inspired, equipped with practical knowledge, and with potential collaborations to drive innovation.

Come to our AI governance workshop to explore the three facets of Trustworthy AI: Ethical, Secure, and Legal.

Through hands-on exercises, you will learn how to identify risks and issues for each facet and gain valuable insights into implementing strategies and processes to ensure the trustworthy implementation of your AI initiatives. The skills and knowledge acquired in this workshop will not only help you create better adoption for your AI initiatives by fostering trust but will also help steer the murky waters of the different AI regulations that are impacting AI development and usage in organisations.

As Large Language Models (LLMs) and Generative AI (GenAI) technologies become integral to our digital landscape, they bring unprecedented capabilities alongside significant risks. The LLM Red Teaming Workshop offers an immersive experience to equip you with the knowledge and skills needed to anticipate and counteract potential threats in this evolving domain.

By adopting Red Teaming, a concept rooted in cybersecurity, this workshop delves into the vulnerabilities of LLMs and the implications of adversarial attacks. You will gain insights into various risk scenarios and engage in hands-on exercises, simulating attack strategies and defense mechanisms to safeguard LLM systems effectively.