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Learn how to build your own Slack clone without writing a single line of code. This course covers the step-by-step process of creating your own team messaging app that's ready to launch. Utilizing Bubble's no-code tool, it explains the exact workflows you'll need to replicate Slack's product.Throughout 10 course modules, I'll cover the process of building the following core features:Getting started with BubbleConfiguring your databaseRegistering user accounts creating a team workspaceRegister invited team membersCreating a Slack home page to display channelsCreating a new Slack channelEditing the settings of a Slack channelSending and displaying Slack messagesUpdating user account settingsAdditional tips insightsBy the end of this course, you'll have a working product that can be used to build your own startup, knowledge on how to build a Slack clone for freelance clients, and new skills to expand your Bubble experience.2022 update: This course now comes with free access to a flexbox responsive design masterclass. Learn how to master the new responsive engine before bringing your app to life.Learn from an experienced Bubble developer coach who has helped multiple founders build successful apps without code.In 2020, I worked directly with the Bubble team to write their 'How-to build' blog series. Each installment shared written instructions on how to recreate popular products using their no-code tool. To simplify the building process, I've created my own separate video series to help guide you in a more engaging way.

Are you ready to dive into the world of WebXR and create immersive Augmented Reality applications? This course is designed to make AR development simple and accessible, using just one programming language—JavaScript!With the help of Babylon.js, a powerful 3D rendering engine, and Vite, a fast module bundler, you’ll learn how to build stunning and realistic AR experiences effortlessly. Whether you're a beginner or an experienced developer, this course provides step-by-step guidance to help you turn your ideas into reality.Here’s what you’ll learn:Core WebXR features needed to build engaging AR/VR applications.How to use Babylon.js to create dynamic 3D environments.Practical techniques for integrating 3D tools into your workflow to enhance your projects.Debugging strategies for WebXR apps, including tips for troubleshooting mobile AR experiences directly in PC browsers.By the end of the course, you’ll have the skills to develop WebXR applications that look great and perform well across devices. This is your chance to bring your AR vision to life with JavaScript and create interactive, cutting-edge experiences for the web.No matter your starting point, this course will empower you to explore the limitless possibilities of WebXR and unlock your potential as an AR developer. Join now and take the first step into the exciting world of WebXR!

Learn to create games in the Godot game engine using a python-like programming language, GDscript.In this course, we will create a Space Shooter game that is cross-platform for MacOS, Windows, Linux, Android, IOS or even embed into a browser.While on your game development journey you will gain the skills and ability to create the Space Shooter you want.****If you have no experience in coding or want to familiarize yourself with the language, my course on learning the GDscript language is recommended to help at least learn basic code terminology and structure****You will learn:The layers and masks To create spawnersUse GroupsReusable scripts and objectsInventory ManagementReimporting of assets with different settingsThe importance of file organizationand more...****If you have no experience in coding or want to familiarize yourself with the language, my course on learning the GDscript language is recommended to help at least learn basic code terminology and structure****Godot provides a huge set of common tools, so you can just focus on making your game without reinventing the wheel.Godot is completely free and open-source under the very permissive MIT license. No strings attached, no royalties, nothing. Your game is yours, down to the last line of engine code.

DescriptionMy experience of working with huge data sets and different languages on projects of Fortune 500 companies made me realize that our college education, given its lack of focus on practice, does not prepare us for such rigor. Consequently, I struggled a lot through my initial years to come at par with what the industry required. This course is a result of that struggle and is strictly focused on the industry-related application of programming. It involves the usage of the PANDAS library and KNIME tool which leads to ETL, i.e., the process of transforming big data into visuals.You can start this new course, and I will try to assist you as much as possible in understanding the usage of these emerging tools. I want you all to know and understand that basic programming is not always the answer but instead, the application of smart tools is!Here's what you'll learn in this course:PythonPANDAS libraryKNIME analytical toolSide by side project in PANDAS and KNIMEAnd Way More!This is a short course but nevertheless, it is a "Complete Guide" on data transformation. Through this course, we will ensure that any person with no knowledge of basic python concepts will be able to apply these in their real-life experiences or their full-time jobs.We don’t believe in testing your knowledge through tricky tests rather we want you to develop this skill through its application. Therefore, we'll go through concepts of Python, KNIME and PANDAS side by side and build two major projects.There might be times when you get stuck. But I am here to help you get through it!I am sure that nobody wants to go through a seven-hour course with not much sense to it. It is exactly why I wanted theory and practical implementation of each section properly in one short course! Not that I tried t

In today’s fast-paced and ever-changing business world, emotional intelligence (EQ) has become an essential skill for effective leadership. With organizations constantly evolving, leaders must navigate complex challenges and diverse teams, requiring not only technical expertise but also a deep understanding of human emotions. Leaders with high EQ are better equipped to manage stress, inspire innovation, and foster a productive environment where individuals thrive. This comprehensive course will guide you through the core elements of emotional intelligence and teach you how to apply them to become a more effective, empathetic, and successful leader. You will explore self-awareness, self-regulation, motivation, empathy, and social skills—five key components that define EQ—and learn how to harness these skills in real-world leadership situations. By mastering these essential competencies, you'll gain a deeper understanding of how to influence, motivate, and connect with those you lead, fostering authentic, trusting relationships that enhance team cohesion, improve communication, and drive productivity.Through practical exercises, real-world case studies, and actionable action plans, this course provides the tools you need to strengthen your leadership capabilities. You will learn how to build stronger relationships, navigate challenges with resilience, and inspire your team to achieve collective goals. With a focus on emotional regulation, you will acquire strategies for managing your emotions, motivating others, and resolving conflicts with ease, all while fostering a positive and productive organizational culture. The course also provides advanced techniques for leading change, making high-stakes decisions under pressure, and improving team collaboration, all viewed through the lens of emotional intelligence.Whether you’re looking to improve your personal leadership effectiveness, enhance your ability to connect with others, or create a more harmonious work environment, this course will provide th

This course focuses on applying reinforcement learning (RL) techniques to real problems in manufacturing. Reinforcement learning is different from traditional optimization or machine learning approaches because it is designed to learn by interacting with environments that change over time. That makes it a natural fit for factories, warehouses, and production systems, where conditions are dynamic and decisions need to be adapted continuously.We start by reviewing the basic ideas of reinforcement learning: states, actions, rewards, and policies. From there, we move into projects that reflect challenges faced in manufacturing industries. For example, balancing production lines, optimizing chemical batch processes, tuning CNC machining parameters, and similar cases that show how RL can be connected to industrial practice. Each section contains both explanation and step-by-step Python implementations so you can follow along, experiment, and adapt the methods to your own problems.The main goal is to show you how reinforcement learning is not only an academic subject, but also a practical tool for industrial engineering and operations research. By the end of the course, you will be able to model manufacturing problems as reinforcement learning environments, train agents to make decisions, and evaluate their performance.This course is intended for learners with some background in Python programming who want to see how RL can be applied beyond games and into real-world systems. Whether you are an engineer, researcher, or practitioner in operations and production, you will find a direct connection between reinforcement learning and the challenges of manufacturing.