
AI Lab 1: To-do web app
Bring your laptop and build a practical to-do web app in a live, hands-on Google for Developers lab.
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Community-led talks, practical workshops, study groups, hackathons, and conferences for a range of experience levels.
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Bring your laptop and build a practical to-do web app in a live, hands-on Google for Developers lab.
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Bring your laptop and use AI to launch a multiplayer game during this practical Google for Developers lab.
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Bring your laptop and explore how Google Maps Platform and AI can power useful location-aware experiences.
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Bring your laptop and connect Google tools into an AI app in this practical Google for Developers lab.
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Bring your laptop and make your first Android app with AI Studio, ready to publish and share.
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Bring your laptop and build a first database-backed web app with Google AI Studio and Cloud SQL.
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Join GDG Maseru for the inaugural DevFest kickoff—an in-person day of Android foundations, hands-on learning, and conversations about Google and open-source technology with local developers.
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A hands-on introduction to using AI tools and APIs to develop projects, collaborate on solutions, and build practical skills.
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An accessible introduction to AI concepts and the tools available through Google and open-source platforms.
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A community conference exploring current Google and open-source technologies, with emphasis on AI, cloud, security, and scalable systems.
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A session on current AI trends, their effect on industries, practical use of AI tools, careers, and the future of technology.
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A multi-day AI and machine-learning experience for students aged 11–14, organized with Girls Coding Academy, Raspberry Pi Foundation, and Google DeepMind.
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TFUG Lesotho’s first Keras Community Day, covering Keras, Gemini, Vertex AI, code assistance, large language models, Gemma, and model fine-tuning.
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A local edition of the Google I/O experience, with sessions spanning Kotlin Multiplatform, product design, AI inclusion, Gemini for Flutter, cloud deployment, and local product demos.
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A community study jam using accessible learning resources, assignments, tutoring, talks, and group discussion to help participants begin or deepen their data science and ML journey.
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