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X-ORIGINAL-URL:https://webgyrlzcode.org
X-WR-CALDESC:Events for Webgyrlz Code Computer Science Training
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X-PUBLISHED-TTL:PT1H
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TZID:UTC
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TZOFFSETFROM:+0000
TZOFFSETTO:+0000
TZNAME:UTC
DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20250214T170000
DTEND;TZID=UTC:20250214T190000
DTSTAMP:20260507T081330
CREATED:20250107T223315Z
LAST-MODIFIED:20250107T223315Z
UID:3099-1739552400-1739559600@webgyrlzcode.org
SUMMARY:February 14: Build Your Own Hangman Game from Scratch with Erik Gross
DESCRIPTION:Join us for a live\, hands-on workshop and dive into the exciting world of game development! On Friday\, February 14\, 2025\, at 5:00 PM PST / 7:00 PM CST / 8:00 PM EST\, discover the joy of coding as you learn to “Build Your Own Hangman Game from Scratch.” \nLed by Erik Gross\, Co-Founder of The Tech Academy\, this interactive session is perfect for beginners and enthusiasts alike. \nYou’ll get a step-by-step introduction to game mechanics and JavaScript fundamentals—all while creating a classic Hangman game. \nYour game development journey starts here! \nSpots are limited\, so secure your place now and bring your creativity to life.
URL:https://webgyrlzcode.org/event/february-14-build-your-own-hangman-game-from-scratch-with-erik-gross/
CATEGORIES:Coding,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250207T170000
DTEND;TZID=UTC:20250207T190000
DTSTAMP:20260507T081330
CREATED:20250107T223553Z
LAST-MODIFIED:20250107T223553Z
UID:3103-1738947600-1738954800@webgyrlzcode.org
SUMMARY:February 7: What You Need to Know About Coding Boot Camps with Erik Gross
DESCRIPTION:Ever wondered how coding boot camps can launch you into the exciting world of technology? It’s not just about learning to code—it’s about mastering skills that open doors to endless opportunities. \nOn February 7\, 2025\, at 5:00 PM PT / 7:00 PM CT / 8:00 PM ET\, join us for “What You Need to Know About Coding Boot Camps”\, a live\, free event that demystifies the boot camp experience. \nLed by Erik Gross\, Senior-Level Software Developer and Co-Founder of The Tech Academy\, this live\, free event will uncover the secrets behind successful boot camp experiences. Learn how these programs equip you with the tools\, confidence\, and connections to thrive in the tech industry. \nReady to take the first step toward your future? \nSave your spot today and start your journey with confidence!
URL:https://webgyrlzcode.org/event/february-7-what-you-need-to-know-about-coding-boot-camps-with-erik-gross/
CATEGORIES:Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250118T180000
DTEND;TZID=UTC:20250118T190000
DTSTAMP:20260507T081330
CREATED:20250107T222545Z
LAST-MODIFIED:20250107T223004Z
UID:3095-1737223200-1737226800@webgyrlzcode.org
SUMMARY:40-Minutes to Applied AI & Data Science: Expert Guidance & Career Insights!
DESCRIPTION:Unlock Your Future in Applied AI & Data Science! 🚀 \n📅 Date: January 18\, 2025\n⏰ Time: 6:00 PM EST\n🌐 Location: Online \n*** \nAre you ready to dive into the exciting world of Applied AI & Data Science? 🤖📊 This free online event will provide: \n✨ Expert guidance on mastering AI & Data Science tools.\n✨ Insights into career opportunities in this booming field.\n✨ Details about our cutting-edge curriculum and hands-on projects.\n✨ Live Q&A with our experienced instructors.\n💡 Whether you’re just starting out or looking to enhance your skills\, this session is designed to give you all the information you need to succeed! \n🔍 Why should you attend? \n✔️ Gain a clear understanding of Applied AI & Data Science.\n✔️ Learn how our course prepares you for real-world challenges.\n✔️ Discover the support we offer for career success.\n✔️ Get your questions answered live by industry experts! \n*** \n🌟 Take the next step in your career today! \n📌 Apply for the course now: https://hi.clarusway.com/uhL2V \n📌 Talk to an advisor for personalized guidance: https://hi.clarusway.com/uhL2X \n🎯 Your journey into AI & Data Science starts here—don’t miss it! \n👉 See you there! 😊
URL:https://webgyrlzcode.org/event/40-minutes-to-applied-ai-data-science-expert-guidance-career-insights/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20250117T170000
DTEND;TZID=UTC:20250117T190000
DTSTAMP:20260507T081330
CREATED:20250107T223430Z
LAST-MODIFIED:20250107T223430Z
UID:3101-1737133200-1737140400@webgyrlzcode.org
SUMMARY:January 17: Creating a Basic Memory Game with JavaScript with Erik Gross
DESCRIPTION:Learn how to build your very own memory game in this live\, interactive workshop hosted by Erik Gross\, Co-Founder of The Tech Academy. \nFriday\, January 17\, 2025\, at 5:00 PM PST / 7:00 PM CST / 8:00 PM EST\nStep into the world of game development as Erik guides you through the process of creating a basic memory game using JavaScript. This beginner-friendly class is perfect for anyone eager to sharpen their coding skills while having fun! \nDon’t miss this chance to unleash your creativity and start your journey into JavaScript game development. \nRegister now to save your spot and get ready to code!
URL:https://webgyrlzcode.org/event/january-17-creating-a-basic-memory-game-with-javascript-with-erik-gross/
CATEGORIES:Coding,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240829T190000
DTEND;TZID=UTC:20240829T220000
DTSTAMP:20260507T081330
CREATED:20240416T122720Z
LAST-MODIFIED:20240416T122720Z
UID:2833-1724958000-1724968800@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-20/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240825T190000
DTEND;TZID=UTC:20240825T220000
DTSTAMP:20260507T081330
CREATED:20240416T135824Z
LAST-MODIFIED:20240416T135824Z
UID:2926-1724612400-1724623200@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-19/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240822T190000
DTEND;TZID=UTC:20240822T220000
DTSTAMP:20260507T081330
CREATED:20240416T122649Z
LAST-MODIFIED:20240416T122649Z
UID:2831-1724353200-1724364000@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-19/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240818T190000
DTEND;TZID=UTC:20240818T220000
DTSTAMP:20260507T081330
CREATED:20240416T135749Z
LAST-MODIFIED:20240416T135749Z
UID:2924-1724007600-1724018400@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-18/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240815T190000
DTEND;TZID=UTC:20240815T220000
DTSTAMP:20260507T081330
CREATED:20240416T122603Z
LAST-MODIFIED:20240416T122603Z
UID:2829-1723748400-1723759200@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-18/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240811T190000
DTEND;TZID=UTC:20240811T220000
DTSTAMP:20260507T081330
CREATED:20240416T135635Z
LAST-MODIFIED:20240416T135635Z
UID:2922-1723402800-1723413600@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-17/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240808T190000
DTEND;TZID=UTC:20240808T220000
DTSTAMP:20260507T081330
CREATED:20240416T122459Z
LAST-MODIFIED:20240416T122459Z
UID:2827-1723143600-1723154400@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-17/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240804T190000
DTEND;TZID=UTC:20240804T220000
DTSTAMP:20260507T081330
CREATED:20240416T135453Z
LAST-MODIFIED:20240416T135453Z
UID:2920-1722798000-1722808800@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-16/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240801T190000
DTEND;TZID=UTC:20240801T220000
DTSTAMP:20260507T081330
CREATED:20240416T122430Z
LAST-MODIFIED:20240416T122430Z
UID:2825-1722538800-1722549600@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-16/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240728T190000
DTEND;TZID=UTC:20240728T220000
DTSTAMP:20260507T081330
CREATED:20240416T135257Z
LAST-MODIFIED:20240416T135257Z
UID:2918-1722193200-1722204000@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-15/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240725T190000
DTEND;TZID=UTC:20240725T220000
DTSTAMP:20260507T081330
CREATED:20240416T122345Z
LAST-MODIFIED:20240416T122345Z
UID:2823-1721934000-1721944800@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-15/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240721T190000
DTEND;TZID=UTC:20240721T220000
DTSTAMP:20260507T081330
CREATED:20240416T135155Z
LAST-MODIFIED:20240416T135155Z
UID:2916-1721588400-1721599200@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-14/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240718T190000
DTEND;TZID=UTC:20240718T220000
DTSTAMP:20260507T081330
CREATED:20240416T122212Z
LAST-MODIFIED:20240416T122212Z
UID:2821-1721329200-1721340000@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-14/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240714T190000
DTEND;TZID=UTC:20240714T220000
DTSTAMP:20260507T081330
CREATED:20240416T135114Z
LAST-MODIFIED:20240416T135114Z
UID:2914-1720983600-1720994400@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-13/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240712T200000
DTEND;TZID=UTC:20240712T213000
DTSTAMP:20260507T081330
CREATED:20240416T124507Z
LAST-MODIFIED:20240416T124507Z
UID:2843-1720814400-1720819800@webgyrlzcode.org
SUMMARY:July 12: Developing Tic-Tac-Toe Game in Python\, Hosted by Erik Gross
DESCRIPTION:Come join The Tech Academy at this very special free introductory online coding class\, delivered by Senior-Level Software Developer\, and our Co-Founder (Erik Gross). In it\, Erik will show you how to build a “Tic-Tac-Toe” video game using the popular programming language: Python. \nAttend on Zoom at 5:00 p.m. PST (7 CST / 8 EST)\, on July 12 (Friday evening). \nThis live Python class is for people who have never written code before\, and in it Mr. Gross will explain every line of code in plain English. All technical terms and concepts will be defined simply. Python is one of the most-used programming languages in the world and you’ll get a taste of it here! \nConfirm your attendance now at this fun and very special Intro to coding class!
URL:https://webgyrlzcode.org/event/july-12-developing-tic-tac-toe-game-in-python-hosted-by-erik-gross/
CATEGORIES:Coding,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240711T190000
DTEND;TZID=UTC:20240711T220000
DTSTAMP:20260507T081330
CREATED:20240416T122143Z
LAST-MODIFIED:20240416T122143Z
UID:2819-1720724400-1720735200@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-13/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240707T190000
DTEND;TZID=UTC:20240707T220000
DTSTAMP:20260507T081330
CREATED:20240416T135013Z
LAST-MODIFIED:20240416T135013Z
UID:2912-1720378800-1720389600@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-12/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240704T190000
DTEND;TZID=UTC:20240704T220000
DTSTAMP:20260507T081330
CREATED:20240416T122105Z
LAST-MODIFIED:20240416T122105Z
UID:2817-1720119600-1720130400@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-12/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240630T190000
DTEND;TZID=UTC:20240630T220000
DTSTAMP:20260507T081330
CREATED:20240416T134920Z
LAST-MODIFIED:20240416T134920Z
UID:2910-1719774000-1719784800@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-11/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240628T200000
DTEND;TZID=UTC:20240628T213000
DTSTAMP:20260507T081330
CREATED:20240416T124323Z
LAST-MODIFIED:20240416T124323Z
UID:2841-1719604800-1719610200@webgyrlzcode.org
SUMMARY:June 28: Let's Make Hangman With Python - Free Coding Class by Erik Gross
DESCRIPTION:Join The Tech Academy at this free\, online intro to coding class\, hosted live by Erik Gross (our Co-Founder)\, where he will show you how to create the game “Hangman” using one of the top programming languages in the world: Python. \nThe class will be held on Zoom on June 28 (Friday evening) starting at 5:00 p.m. PST (7 CST/8 EST). \nThis workshop is for people who have never written code before\, and in it\, Mr. Gross will explain every line of code in plain English. All technical terms and concepts will be defined simply. \nRegister now for The Tech Academy’s fun\, simple and educational Intro to Python coding class!
URL:https://webgyrlzcode.org/event/june-28-lets-make-hangman-with-python-free-coding-class-by-erik-gross/
CATEGORIES:Coding,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240627T190000
DTEND;TZID=UTC:20240627T220000
DTSTAMP:20260507T081330
CREATED:20240416T122020Z
LAST-MODIFIED:20240416T122020Z
UID:2815-1719514800-1719525600@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-11/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240623T190000
DTEND;TZID=UTC:20240623T220000
DTSTAMP:20260507T081330
CREATED:20240416T134826Z
LAST-MODIFIED:20240416T134826Z
UID:2908-1719169200-1719180000@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-10/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240620T190000
DTEND;TZID=UTC:20240620T220000
DTSTAMP:20260507T081330
CREATED:20240416T121931Z
LAST-MODIFIED:20240416T121931Z
UID:2813-1718910000-1718920800@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-10/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240616T190000
DTEND;TZID=UTC:20240616T220000
DTSTAMP:20260507T081330
CREATED:20240416T134728Z
LAST-MODIFIED:20240416T134728Z
UID:2906-1718564400-1718575200@webgyrlzcode.org
SUMMARY:MINDSHOP™| AI FOR ALL
DESCRIPTION:AI FOR ALL
URL:https://webgyrlzcode.org/event/mindshop-ai-for-all-9/
CATEGORIES:Artificial Intelligence,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240614T200000
DTEND;TZID=UTC:20240614T213000
DTSTAMP:20260507T081330
CREATED:20240416T123634Z
LAST-MODIFIED:20240416T123634Z
UID:2835-1718395200-1718400600@webgyrlzcode.org
SUMMARY:June 14: Make Your Own Adventure Game in Python\, with Erik Gross
DESCRIPTION:Learn how to create your very own text-based adventure game\, similar to the classic game Zork\, at this live class delivered by the Co-Founder of The Tech Academy. \nThis online workshop will teach the basics of the popular programming language Python\, and you can join us on Zoom at 5:00 p.m. PST (7 CST / 8 EST)\, on June 14 (Friday evening). \nThis live class is for people who have never written code before\, and in it Mr. Gross will explain every line of code in plain English. All technical terms and concepts will be defined simply. Python is one of the most-used programming languages in the world and you’ll get a taste of it here! \nConfirm your attendance now for this fun and educational Intro to Python coding class!
URL:https://webgyrlzcode.org/event/june-14-make-your-own-adventure-game-in-python-with-erik-gross/
CATEGORIES:Coding,Tech,Virtual event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20240613T190000
DTEND;TZID=UTC:20240613T220000
DTSTAMP:20260507T081330
CREATED:20240416T121821Z
LAST-MODIFIED:20240416T121821Z
UID:2811-1718305200-1718316000@webgyrlzcode.org
SUMMARY:Algorythm™| Become a Machine Learning Ninja
DESCRIPTION:WHAT IS THIS ALGORYTHM COURSE ABOUT? \nThis course provides a robust foundation on machine learning concepts and applications. This course is designed for students who have little to no technical background\, yet are committed to venture into the AI space. \nWHO IS THIS COURSE FOR? \n\n(Non-tech) Entrepreneurs who want to build AI startups\nCareer switchers from non-tech background\nStudents exploring AI space\n\nCOURSE AGENDA: \n-> Difference between ML\, DL and Data Science \n-> Description & Applications of LLMs\, NLP\, Computer Vision\, BayesianAI \n-> Introduction of the following concepts: \n\nSupervised learning vs Unsupervised learning\nLearning and logic regression\nK-means clustering\nDecision Tree\nBoosting and bagging algorithm\nTime series modeling\nKernel SVM\nNaive Bayes\nRandom forest classifiers\n\n-> Existing applications of ML + Opportunities \nKey Takeaways: \n🤖 Live Q&A and Case Discussions (with monthly invitation to a Q&A with the alumni network) \n🤖 Coursework\, handouts\, & Case Challenges \n🤖 Certificate of completion upon request \nP.S More Algorythm courses coming up on each one of these concepts\, follow for updates. \nReading Appetizers: \n🤖 ALGORYTHM | How Can Sherlock Holmes Use Data Science for his Stellar Detective Work? \n🤖 ALGORYTHM | What is applied AI? A potential to solve world problems or…? \nWelcome aboard\, master of the machines!
URL:https://webgyrlzcode.org/event/algorythm-become-a-machine-learning-ninja-9/
CATEGORIES:Artificial Intelligence,Virtual event
END:VEVENT
END:VCALENDAR