Conferences, demo days, pitch nights and meetups. Anything we can show a source for is linked back to the page it came from.
22 listed worldwide, in date order.
This event explores reinforcement learning concepts, typically based on the Multi-Agent Reinforcement Learning textbook. It is designed for those interested in AI and machine learning theory and applications. Attendees can deepen their understanding of multi-agent learning techniques in an online setting.
This free 2-hour online webinar introduces AI full stack development for beginners, students, and software developers. Attendees will gain foundational knowledge and practical skills in AI programming. The event is ideal for those starting their journey in AI development and seeking accessible training.
This online session covers the lifecycle and metrics of AI and Machine Learning projects, including pipeline components, MLOps, and AWS AI services. It is designed for learners preparing for the AWS Certified AI Practitioner exam. Attendees will gain practical knowledge of AI/ML evaluation and key AWS tools relevant for building AI solutions.
This event examines the internal workings of large language model inference serving, focusing on the systems layer between API endpoints and GPU clusters. It is intended for machine learning practitioners interested in understanding bottlenecks, algorithms, and architecture involved in production LLM deployment. Attendees will gain insights into performance optimization for LLM inference in production environments.
Participants share tips, tricks, notes, and industry stories to help each other advance in learning Machine Learning content. This session is for those interested in AI and Machine Learning topics who want to deepen their understanding through peer support. Attendees collaborate to overcome learning challenges and exchange insights in a virtual environment.
This event provides an introduction to generative AI, including tools like ChatGPT, Perplexity, and Claude. It is designed for those who are not yet familiar with advanced AI concepts and want to learn the basics. Attendees will gain foundational knowledge useful for understanding and applying generative AI technology.
This event offers an introduction to generative AI, covering basics like ChatGPT, Perplexity, and Claude. It is designed for those not yet familiar with advanced AI concepts seeking foundational knowledge. The session is led by an experienced military AI instructor to ensure clear and engaging learning.
This online information session introduces the Agentic AI and LLM Bootcamp curriculum and allows participants to ask questions about the program. It is designed for individuals interested in learning about large language models and AI applications. Participants can evaluate if the bootcamp fits their learning goals and interests.
This course covers AI for data analysis as part of a free Google AI Professional Certification series. It is designed for individuals who want to learn how to apply AI in analyzing data or to build AI-based businesses. Participants can join remotely to gain certification and practical knowledge of AI tools.
This online information session explains the Agentic AI and LLM Bootcamp curriculum and helps participants determine if the program suits their needs. Attendees can ask questions live to understand the content and commitment involved. The event targets individuals interested in AI learning opportunities and skill development.
Participants share tips, tricks, notes, and industry stories to support each other in learning Machine Learning concepts. The session is for individuals interested in advancing their understanding of AI and machine learning. Attendees collaborate to overcome challenges and make progress in the field.
This is an online course offering Google AI Professional Certification focused on AI for App Building. It is intended for individuals looking to learn how to use AI or build businesses based on AI technologies. Participants can gain practical knowledge and an official credential to advance their AI skills.
This online meetup focuses on building AI skills for career development with the Vibe Coding platform in 2026. It is designed for individuals interested in enhancing their expertise in AI and machine learning. Attendees will learn practical ways to prepare for future AI-related career opportunities.
This online course covers end-to-end usage of Databricks for data engineering. It is designed for data engineering practitioners or learners who want to build skills in Databricks workflows. Participants will gain practical knowledge applicable to managing data pipelines and analytics on the Databricks platform.
Researchers at NYU present talks on topics in artificial intelligence, machine learning, and computer vision. This online meetup is designed for students, researchers, and tech professionals interested in AI advancements. Attendees can learn about recent developments and engage with the academic perspective on AI technology.
Researchers from NYU present talks on topics related to artificial intelligence, machine learning, and computer vision. This virtual meetup is designed for people interested in the latest academic and technical developments in AI. Attendees can learn about current research trends and network with others in the AI research community.
This is an online, tutor-assisted course on the fundamentals of big data running from September 1 to September 29, 2026. It is aimed at individuals interested in learning how to transform organizations and drive business growth using intelligent data. Participants will gain foundational knowledge to leverage big data effectively in their work.
The event explores concepts from Multi-Agent Reinforcement Learning, focusing on AI techniques that involve multiple interacting agents. It is intended for participants interested in advanced AI and machine learning topics. Attendees can gain understanding of foundational and modern approaches in reinforcement learning theory.
This event covers concepts and approaches in reinforcement learning, focusing on material from a key textbook about multi-agent reinforcement learning. It is intended for those interested in AI research and development. Attendees can learn foundational and advanced techniques for reinforcement learning applications.
This event focuses on reinforcement learning, primarily based on the Multi-Agent Reinforcement Learning textbook. It is intended for attendees interested in artificial intelligence and machine learning research and applications. Participants can explore foundational and modern approaches to reinforcement learning in a virtual setting.
This event covers topics in reinforcement learning, typically using material from a foundational multi-agent reinforcement learning textbook. It is suitable for those interested in AI and machine learning concepts, including researchers and practitioners. Participants can deepen their understanding of reinforcement learning principles in an online format.
This event explores reinforcement learning with a focus on multi-agent systems based on the referenced textbook. It is suited for individuals interested in AI and machine learning theory and applications. Attendees can deepen their understanding of modern reinforcement learning approaches in an online setting.