Conferences, demo days, pitch nights and meetups. Anything we can show a source for is linked back to the page it came from.
4,441 listed worldwide, in date order.
Hackaton CTW 2026 is a 36-hour nonstop hackathon held in Bogotá as part of Colombia Tech Week. Participants collaborate intensively to build technology projects and solutions. The event is designed for developers, technologists, and startup founders interested in networking and innovation within the Colombian tech ecosystem.
This event combines easy group runs with networking opportunities for founders, investors, and startup enthusiasts in Lisbon. Participants can enjoy running at their own pace, socialize over coffee, and connect with like-minded professionals. The event fosters community building among tech and creative people involved in the startup ecosystem.
The Startup Stroll is a bi-monthly morning walk for founders and builders in London to have honest conversations about the challenges and small wins of building a startup. It provides a relaxed space to connect, share experiences, and unwind before the weekend. Participants can continue discussions over coffee or brunch afterwards.
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Data Science with Python Weekend Training – 4-Day Practical Bootcamp Looking to build a career in data science or upgrade your analytics skills? Join our 4-Day Data Science with Python Certification Bootcamp, a hands-on training program designed to help you master the essential tools and techniques used by modern data professionals. This intensive data science training focuses on practical learning, enabling you to work with real datasets, perform analysis, and build predictive models using Python. From understanding raw data to generating meaningful insights, this program walks you through the complete data science lifecycle. Whether you are a beginner or a working professional, this data science certification course will help you develop the confidence to solve real-world business problems using data. What You’ll Gain from This Data Science Certification This program is designed to give you job-ready skills in data science with Python through real-time learning and applied concepts. • Strong foundation in Python for data science applications • Hands-on experience with data cleaning and preprocessing • Ability to analyze and interpret structured and unstructured data • Skills to create impactful data visualizations • Understanding of statistics used in data science • Exposure to machine learning algorithms and predictive modeling • Practical project experience to build your portfolio • Recognition through a data science certification Key Learning Areas Python for Data Science: Learn Python basics and how it is applied in analytics and automation. Data Wrangling & Preparation: Handle missing data, transform datasets, and prepare data for analysis. Data Analysis & Visualization: Generate insights using visualization tools and storytelling techniques. Statistics for Data Science: Understand key statistical concepts used in real-world analytics. Machine Learning Basics: Explore regression and classification models used in data science projects . Capstone Project: Work
Data Science with Python Weekend Training – 4-Day Practical Bootcamp Looking to build a career in data science or upgrade your analytics skills? Join our 4-Day Data Science with Python Certification Bootcamp, a hands-on training program designed to help you master the essential tools and techniques used by modern data professionals. This intensive data science training focuses on practical learning, enabling you to work with real datasets, perform analysis, and build predictive models using Python. From understanding raw data to generating meaningful insights, this program walks you through the complete data science lifecycle. Whether you are a beginner or a working professional, this data science certification course will help you develop the confidence to solve real-world business problems using data. What You’ll Gain from This Data Science Certification This program is designed to give you job-ready skills in data science with Python through real-time learning and applied concepts. • Strong foundation in Python for data science applications • Hands-on experience with data cleaning and preprocessing • Ability to analyze and interpret structured and unstructured data • Skills to create impactful data visualizations • Understanding of statistics used in data science • Exposure to machine learning algorithms and predictive modeling • Practical project experience to build your portfolio • Recognition through a data science certification Key Learning Areas Python for Data Science: Learn Python basics and how it is applied in analytics and automation. Data Wrangling & Preparation: Handle missing data, transform datasets, and prepare data for analysis. Data Analysis & Visualization: Generate insights using visualization tools and storytelling techniques. Statistics for Data Science: Understand key statistical concepts used in real-world analytics. Machine Learning Basics: Explore regression and classification models used in data science projects . Capstone Project: Work
Data Science with Python Weekend Training – 4-Day Practical Bootcamp Looking to build a career in data science or upgrade your analytics skills? Join our 4-Day Data Science with Python Certification Bootcamp, a hands-on training program designed to help you master the essential tools and techniques used by modern data professionals. This intensive data science training focuses on practical learning, enabling you to work with real datasets, perform analysis, and build predictive models using Python. From understanding raw data to generating meaningful insights, this program walks you through the complete data science lifecycle. Whether you are a beginner or a working professional, this data science certification course will help you develop the confidence to solve real-world business problems using data. What You’ll Gain from This Data Science Certification This program is designed to give you job-ready skills in data science with Python through real-time learning and applied concepts. • Strong foundation in Python for data science applications • Hands-on experience with data cleaning and preprocessing • Ability to analyze and interpret structured and unstructured data • Skills to create impactful data visualizations • Understanding of statistics used in data science • Exposure to machine learning algorithms and predictive modeling • Practical project experience to build your portfolio • Recognition through a data science certification Key Learning Areas Python for Data Science: Learn Python basics and how it is applied in analytics and automation. Data Wrangling & Preparation: Handle missing data, transform datasets, and prepare data for analysis. Data Analysis & Visualization: Generate insights using visualization tools and storytelling techniques. Statistics for Data Science: Understand key statistical concepts used in real-world analytics. Machine Learning Basics: Explore regression and classification models used in data science projects . Capstone Project: Work
Code Arizona is a ten-hour coding competition for high school students in Arizona where participants build apps, games, and more. The event includes workshops, mentorship, and networking opportunities with peers and mentors. Attendees can learn coding skills, earn prizes, and enjoy free food in a collaborative environment.
The Special AI Forum is a full-day event at Conviction 2026 in Ho Chi Minh City focused on practical AI applications in media, business, and AI agents. It is designed for founders, marketers, content creators, and operators interested in integrating AI into their work. Attendees learn from case studies and hands-on experiences shared by industry practitioners and AI builders.
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 a one-day hackathon focused on building AI-powered prototypes that address civic engagement and election challenges. It welcomes beginners and participants in an ongoing civics program to collaborate on real problems and create testable solutions. Attendees leave with a working prototype and a plan for real-world testing.
Melbourne's AI buildDay is an in-person event focused on hands-on AI tool building with OpenAI credits provided. Participants of all experience levels bring their own ideas or choose from problem briefs to develop projects and then demo their work in a casual setting. This event is aimed at anyone curious about AI development who wants to learn by doing and network with others.
Engineer BAR is an in-person casual social event in Shinjuku City for engineers and tech hobbyists to network and share experiences. Attendees include front-end, back-end, infrastructure engineers, project managers, and aspiring engineers who want to discuss projects, career motivation, and AI-era careers. The event is informal and open for drop-in participation during the evening hours.
Founders and engineers working with AI gather in small groups to explore where real human work remains in AI workflows. Participants discuss recent changes in beliefs, productivity hacks, and fears while collaboratively troubleshooting current challenges. The event fosters deep conversations and networking with AI-native builders.
This full-day hands-on event teaches participants how to build a Business AI OS using Hermes Agent, an open-source tool that runs locally and keeps data private. Attendees will create AI agents to automate inbox triage and content management for real business scenarios. It is ideal for founders and operators who want control over AI tools and costs.
Bitcoin enthusiasts meet outdoors in Warsaw to walk and discuss the nature, functioning, and future of money through the lens of Bitcoin. The event is open to beginners and experienced participants interested in Bitcoin's economic, technological, and social impact. It offers a chance to connect with the local Bitcoin community and explore its potential for financial sovereignty and global change.
This event provides a quiet co-working space at UQAM in Montreal for creators working on projects such as game development, art, coding, or music. It is suitable for individuals looking for dedicated time and space to focus on their work in a community setting. Attendees benefit from a supportive environment to progress their personal or collaborative projects.
This event is an informal co-working session held at Roseline Coffee in Portland. Attendees bring their laptops, work on projects, and engage in conversations to share knowledge and collaborate. It is geared towards developers and tech enthusiasts looking to connect and work alongside others in a relaxed environment.
Tech Alley Vegas is a full-day event bringing together the tech and startup community in Las Vegas. It features meetups on technology, funding, AI, software development, blockchain, marketing, and design. Attendees can network, learn, and share knowledge across multiple disciplines in one location.
The GTM Hackathon is a full-day, in-person event in Dublin for builders, sellers, and GTM engineers to create AI-powered go-to-market tools and automation. Participants collaborate with mentors from OpenAI and UnifyGTM to build working systems that improve sales and revenue operations. The event targets professionals focused on GTM challenges who want to apply AI practically within their roles.
Future Frontiers is a recurring event that features an AI-generated film showcase, beginner workshops on AI tools, builder demos, and talks on AI and crypto. It is designed for creators, developers, entrepreneurs, and anyone interested in AI, crypto, Web3, and emerging technologies. Attendees can engage with innovative projects and learn about the intersection of these technologies in a creative community setting.
This meetup gathers AI engineers and coders weekly in Bangkok to discuss and experiment with the latest developments in AI technology. Participants share knowledge and explore AI tools together in an informal setting. It is designed for coders interested in AI who want to stay updated and collaborate on AI projects.
This meetup focuses on the practical relationship between Bitcoin and business operations. It is designed for business owners, freelancers, professionals, and students interested in how Bitcoin supports payments, transaction efficiency, and asset management beyond investment. Attendees can expect interactive discussions and real-world business use cases in a relaxed setting.
This event provides a space for women in tech to explore and experiment with Claude, an AI tool. Participants can bring projects, ask questions, and engage in practical learning while enjoying coffee and conversation. It aims to support women in technology by fostering curiosity and collaboration.