Category: Tutorials

Published 5/2025 Created by Vaga Notes MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 33 Lectures ( 1h 48m ) | Size: 1 GB​

Use AI to create custom Shopify theme sections fast. Perfect for developers, designers, and freelancers

What you’ll learn
How to build professional Shopify theme sections using AI tools like ChatGPT, Cursor, and GitHub Copilot
How to design reusable, schema-powered Liquid sections for the Shopify Theme Editor
How to write effective AI prompts to generate Liquid, JSON schema, and TailwindCSS
How to install and configure TailwindCSS inside a custom Shopify theme
How to style sections using AI-generated Tailwind utility classes and traditional CSS
How to refactor, debug, and extend sections using Cursor AI code editor
How to use GitHub Copilot for intelligent, inline Liquid and CSS completions
How to preview and test sections live in a Shopify development store
How to package, reuse, and prepare your sections for clients or Shopify Theme Store submission
How to accelerate your development workflow using a modern AI-assisted toolchain

Requirements
Basic understanding of HTML and CSS (no need to be advanced)
A computer with macOS, Windows, or Linux
A GitHub account (for using Copilot)
Visual Studio Code or Cursor installed (we’ll show how to set these up)
Curiosity to learn with AI tools like ChatGPT – no AI experience needed!

Description
Are you ready to build Shopify themes smarter, faster, and with the help of cutting-edge AI tools?In this hands-on course, you’ll learn how to design and develop a custom Shopify theme section using ChatGPT, GitHub Copilot, and Cursor AI – with zero fluff and 100% practical workflows. Whether you’re a developer, designer, freelancer, or curious entrepreneur, this course shows how AI can supercharge your Shopify theme development processWhat You’ll LearnHow to use ChatGPT to generate Shopify Liquid code and JSON schemasHow to write smarter code with GitHub Copilot or CursorHow to design your theme layout in Figma and turn it into codeHow to use Shopify CLI to preview and test your themesHow to package and reuse your AI-generated theme sectionsWhat You’ll BuildBy the end of the course, you’ll create a fully functional, responsive "Hero Section" with heading, button, image (and optional video), styled to match your Figma design – all powered by AI.Tools You’ll UseChatGPT (or any LLM)Cursor (or GitHub Copilot with VS Code)Figma (for UI layout)Shopify CLI (for local development)GitHub (to store your code)If you’ve ever wanted to build your own Shopify theme but felt overwhelmed by code, or if you’re looking to accelerate your workflow with AI, this course is for you.Join now and start building Shopify themes – the smart, AI-powered way.

Who this course is for
Shopify developers who want to build sections faster using AI
Web designers looking to turn Figma designs into editable Shopify sections
Freelancers and agencies who want to speed up theme customization for clients
Frontend developers transitioning into Shopify theme work
Beginners comfortable with HTML/CSS who want to learn Shopify theme development with modern tools
Anyone interested in combining ChatGPT, Cursor, and Copilot to build real-world Shopify features efficiently

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Build Omegle Clone In 1 Day – Next.Js, Mongodb, Cursor Ai
Published 6/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.02 GB | Duration: 1h 46m​

Build an Omegle Clone in One Day with Next.js, Cursor AI, WebRTC, Socket IO, MongoDB, and TypeScript!

What you’ll learn

How to build a real-time Omegle Clone in just 1 day using Next.js and AI – without writing code

How to use Cursor AI to generate clean, production-ready code from natural language prompts

How to implement WebRTC for live video chat between strangers

How to build real-time text chat functionality using Socket IO

How to structure and manage user matching logic (randomized chat pairing system)

How to leverage your new app to attract employers, freelance clients, or users

Requirements

No prior coding experience required – you’ll learn how to build using AI

A computer with internet access

Basic curiosity and a desire to build cool things fast

No need to master WebRTC, Socket IO, or Next.js beforehand – we’ll guide you through it

Description

Build a Viral Chat App Like Omegle in Just 1 Day – Without Writing a Single Line of CodeYou’ve seen viral chat apps like Omegle, where strangers connect through video and text in real-time.You’ve probably thought:"This is cool. but I could never build something like that."What if you could?And what if you could do it in just one day, without learning to code, and still walk away with a fully functional app built on the same technology used by real startups?That’s exactly what this course delivers.What You’ll Learn and BuildA complete, beginner-friendly blueprint to build a real-time video and text stranger chat application using:Cursor AI as your personal coding assistantNext.js 15 as the full-stack development frameworkMongoDB for storing user and session dataWebRTC and Socket IO for real-time peer-to-peer video and text communicationAnd the best part?You’ll build it all in a single day – with zero coding experience required.Why This Course is DifferentMost coding tutorials are long, overwhelming, and overly theoretical. This course is different.Instead of teaching line-by-line programming, you’ll learn how to leverage artificial intelligence to generate production-level code in minutes. You’ll move from idea to execution fast – without sacrificing quality.You’ll discover how torompt Cursor AI to write clean and functional codeStructure and design a real-time video chat appImplement live video and text chat between strangersHandle matching logic and UI flowDeploy your app and make it portfolio- or launch-readyBy the End of This Course, You’ll Have:A complete real-time chat application that mimics Omegle’s functionalityA professional-grade app built using modern technologies like WebRTC, Socket IO, Next.js, and MongoDBAI-generated code and project flow you can use and customizeA unique, showcase-worthy project to enhance your portfolioThe confidence to build more real-time or AI-assisted applicationsReady to Build Something Legendary?If you’ve ever wanted to launch your own chat app, build a portfolio-worthy project, or experience how powerful AI can be in real-world development, this is your opportunity.Enroll now, and start building your own Omegle clone – today.

Overview

Section 1: Introduction

Lecture 1 Omegle Architecture Explained

Lecture 2 Setup AI Editor

Lecture 3 Cursor AI Tips & Tricks

Section 2: Build Landing Page with Functionality

Lecture 4 Build a Omegle like Stunning Landing Page Fast

Lecture 5 Tweak for a Flawless UI

Lecture 6 See Cursor AI’s Magic in Action

Section 3: Build Omegle Video Chat Core

Lecture 7 Setup Mongodb

Lecture 8 Backend Setup with Socket Server

Lecture 9 Testing implementation

Lecture 10 Implementing Video Chat Core

Lecture 11 Testing core implementation

Lecture 12 Fixing Video Chat Start

Lecture 13 Design Main Video UI

Lecture 14 Video Chat Feature Fix

Lecture 15 UI and Camera functionality fix

Lecture 16 Fixing User Join Bug

Lecture 17 Fixed Next button connect issue

Section 4: Text Chat System

Lecture 18 Integrate Text Chat System

Section 5: Create Admin Panel

Lecture 19 Integrate Admin Panel

Section 6: Wrap Up

Lecture 20 Conclusion

Aspiring developers who want to skip the overwhelm and build their first app – fast,Beginner coders or no-code enthusiasts who want to unlock the power of AI in real projects,Freelancers or tech-savvy entrepreneurs looking to build and launch MVPs in record time,Job seekers wanting to create standout portfolio projects that actually impress hiring managers,Experienced developers curious about how Cursor AI + modern stack can 10x their speed,Anyone who has ever thought: "I wish I could build something like Omegle – but faster, easier, smarter"

Last updated 3/2025 Created by DotNet Mastery MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 43 Lectures ( 4h 31m ) | Size: 1.58 GB​

A Practical Guide to Creating Robust Microservices Architecture with NET 8, RabbitMQ, MassTransit and Saga Pattern

What you’ll learn
Build and Deploy Microservices in .NET 8
Implement Reliable Messaging with RabbitMQ
Master MassTransit for Messaging in .NET Applications
Implement Retry Policies and Error Handling
Learn the Saga Pattern for Managing Distributed Transactions

Requirements
Basic Knowledge of C# and .NET
Willingness to Learn

Description
In this comprehensive course, you will learn how to design and build resilient microservices using .NET 8, RabbitMQ, and MassTransit, with a focus on integrating the Saga pattern for effective transaction management.Throughout the course, you will:Understand Microservices Architecture: Gain insights into the principles of microservices, including scalability, decoupling, and independent deployment.Set Up Your Development Environment: Learn how to configure your development environment using .NET 8, RabbitMQ, and MassTransit to streamline your microservices development process.Implement Asynchronous Messaging: Discover how to use RabbitMQ for messaging between services, ensuring reliable communication and data consistency.Utilize MassTransit: Explore MassTransit as a powerful tool for simplifying message handling and service orchestration, including configuring endpoints, consumers, and middleware.Manage Distributed Transactions with Sagas: Dive into the Saga pattern to handle long-running transactions across multiple microservices. You will learn both orchestration and choreography approaches, enabling you to choose the right method for your business scenarios.Hands-On Projects: Engage in practical exercises and projects that simulate real-world microservices development, reinforcing your learning and preparing you for production scenarios.Best Practices and Patterns: Learn industry best practices for building maintainable, testable, and scalable microservices, along with common patterns and anti-patterns to avoid.By the end of this course, you will have the skills and confidence to build, deploy, and manage microservices that are robust, efficient, and scalable, ready to tackle modern software challenges.

Who this course is for
Aspiring Developers: Start your career in software development with microservices skills.
beginner and itermediate Developers: Deepen your understanding of microservices architecture.
Software Architects: Learn best practices for designing microservices-based systems.
Technical Leads and Managers: Gain insights into leading microservices development teams.
Tech Enthusiasts: Explore modern technologies like .NET 8, RabbitMQ, and MassTransit and Saga Pattern.

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Build and Deploy Secure Code for Java
Last Updated Feb 03, 2026
Duration: 49m | .MP4 1920×1080 30 fps(r) | AAC, 48000 Hz, 2ch | 184.33 MB
Genre: eLearning | Language: English​

Build and deploy secure Java applications by embedding security checks directly into your build, configuration and CI/CD pipeline. This course shows you practical, real-world techniques you can apply immediately in everyday Java development.

More Info:
Build and Deploy Secure Code for Java

Published 11/2024 MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 3h 12m | Size: 1.67 GB​

Unlock the Power of Google Gemini to Build Next-Gen Chatbots, Assistants, and Interactive Android Apps

What you’ll learn
Build intelligent chatbots and AI assistants using Google Gemini in Android.
Design visually appealing and intuitive chat interfaces with Android Studio.
Integrate text-based queries and responses powered by Gemini’s advanced NLP
Enable image-based questions for enhanced, context-aware AI responses
Implement real-time responses using dynamic streaming
Develop contextually aware conversations with extended chat capabilities
Add voice features like speech-to-text and text-to-speech for interactive apps

Requirements
Some basic knowledge of App development in Android is recommended

Description
Are you ready to revolutionize Android app development by building intelligent chatbots and AI assistants?This course is your gateway to mastering Google’s cutting-edge Gemini models and creating smart, feature-rich Android applications. Whether you’re looking to design engaging chat interfaces or develop assistants capable of real-time, context-aware interactions, this course will equip you with the skills to bring your vision to life using Kotlin.Why Choose This Course?Join Muhammad Hamza Asif, a highly experienced mobile machine learning instructor with over 6 years of expertise and a growing community of 60,000+ students on . Guided by his practical insights, you’ll learn how to transform Gemini’s advanced AI capabilities into responsive, user-friendly chatbots and assistants.What You’ll Learnesign Intuitive Chat InterfacesBuild sleek, user-friendly chat UIs in Android Studio to provide a seamless experience for your users.Create Smart Text-Based ChatbotsEnable text-based conversations by integrating Gemini’s powerful natural language processing (NLP) capabilities to answer user queries with precision.Develop Multi-Modal AssistantsAdd image-based queries to your chatbots, empowering users to ask questions with images and receive comprehensive responses.Real-Time Conversational FlowUse LiveData and streams to make your AI assistant more dynamic, displaying real-time responses as they’re generated.Extend Conversations ContextuallyLeverage Gemini’s chat capabilities to enable context-aware, continuous conversations, mimicking human-like interaction.Voice-Enabled InteractionsAdd speech-to-text and text-to-speech features to make your chatbot accessible and interactive, allowing users to talk and listen to your app.What You’ll Achieve:Build AI-Powered Chatbots: Design assistants that can handle diverse use cases, from customer support to productivity tools.Master AI Integration: Confidently implement Google Gemini models in Android apps for smart, multi-functional interactions.Enhance User Experience: Combine advanced AI capabilities with stunning UIs and voice-enabled features for a truly immersive experience.Create Versatile Applications: Build AI assistants that adapt to various industries, such as e-commerce, healthcare, education, and more.Why Learn This Now?The future of Android development lies in intelligent apps powered by AI. By mastering chatbot and assistant creation, you’ll gain a competitive edge and unlock endless possibilities for innovation.Who Should Enroll?Android developers eager to build AI chatbots and assistants.Kotlin enthusiasts ready to explore the potential of AI in app development.Innovators passionate about creating smarter, more engaging user experiences.Don’t wait to bring your ideas to life! Learn how to build intelligent chatbots and AI assistants that redefine what’s possible in mobile apps. Enroll now and take the first step toward mastering Google Gemini in Android!

Who this course is for
Students and Beginners with a basic understanding of Kotlin and Android, ready to explore the world of AI integration.
Android Developers eager to integrate cutting-edge AI technologies like Google Gemini into their apps
Professionals in Customer Support, E-commerce, or Education wanting to develop custom AI assistants tailored to their industry needs.
Mobile App Creators aiming to design innovative, AI-powered user experiences.
AI Enthusiasts interested in building intelligent chatbots and assistants for diverse use cases.
Tech Innovators passionate about creating next-gen apps with advanced conversational and image-based AI capabilities.

Released 03/2026 By Anthony Alampi MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 13m 59s | Size: 194 MB​

Developers and teams increasingly need to integrate speech recognition into applications.

What you’ll learn
Developers and teams increasingly need to integrate speech recognition into applications. In this course, Build a Speech Recognition Model, you’ll gain the ability to develop a complete, end-to-end speech recognition system capable of converting spoken audio into accurate text. First, you’ll explore how to collect, preprocess, and clean audio data, learning techniques such as normalization, noise reduction, and segmenting recordings to prepare high-quality input for a model. Next, you’ll discover how to extract meaningful features from raw audio and structure datasets for training deep learning models. Finally, you’ll learn how to train, decode, and evaluate a custom speech-to-text model using modern architectures. When you’re finished with this course, you’ll have the skills and knowledge needed to confidently build speech recognition models and make informed decisions about deploying deep learning-based voice technologies in real-world applications.

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Build a Full-Stack App with Claude Code (No Code Required)
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 36m | 91.8 MB
Instructor: Stephanie Nyarko​

AI development tools such as Claude Code make it possible to build production‑style full‑stack applications without manually writing syntax. Yet much of the existing learning content focuses either on isolated prompt experiments or on traditional coding workflows that require hands‑on implementation at every step. This course takes a different approach by teaching intent‑driven full‑stack development. You learn how to design, structure, and evolve a real application while using AI to handle implementation details, so you can focus on architecture, behavior, and product decisions.

Learning objectives

[]Explain how Claude Code reframes traditional no‑code development by acting as an AI partner that handles implementation while preserving control over intent, architecture, and product decisions.
[]Generate a complete full‑stack application scaffold, including frontend structure, styling, and a working development environment, using Claude Code.
[]Design frontend layouts, interactions, and UI states by describing desired behavior in natural language and validating the generated code.
[]Connect frontend and backend systems by reasoning about data flow and application behavior rather than low‑level integration details.
[]Implement authentication, protected routes, and user‑scoped data to evolve an application from a single‑user demo into a multi‑user system.

Homepage

Build a Full-Stack App with Claude Code (No Code Required)
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 36m | 91.8 MB
Instructor: Stephanie Nyarko​

AI development tools such as Claude Code make it possible to build production‑style full‑stack applications without manually writing syntax. Yet much of the existing learning content focuses either on isolated prompt experiments or on traditional coding workflows that require hands‑on implementation at every step. This course takes a different approach by teaching intent‑driven full‑stack development. You learn how to design, structure, and evolve a real application while using AI to handle implementation details, so you can focus on architecture, behavior, and product decisions.

Learning objectives

• Explain how Claude Code reframes traditional no‑code development by acting as an AI partner that handles implementation while preserving control over intent, architecture, and product decisions.
• Generate a complete full‑stack application scaffold, including frontend structure, styling, and a working development environment, using Claude Code.
• Design frontend layouts, interactions, and UI states by describing desired behavior in natural language and validating the generated code.
• Connect frontend and backend systems by reasoning about data flow and application behavior rather than low‑level integration details.
• Implement authentication, protected routes, and user‑scoped data to evolve an application from a single‑user demo into a multi‑user system.

Homepage

Published 10/2024 Created by Jose Moreno,Sebastian Narvaez MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 75 Lectures ( 26h 11m ) | Size: 32 GB​

Learn the whole process of creating PBR characters with Blender tools.

What you’ll learn
The complete workflow to create characters for videogames in Blender.
How to make a character blocking based on a referent, focusing in a good silhouette and correct proportions.
How to make a character with high level of detail using digital sculpting and modeling tools.
How to make a low poly version of the character fully optimized for animation and game engines.
How to make an optimized UV display to be able to project textures on our character.
How to extract all the details from the high poly model and project them on the low poly model using map baking.
How to use and create textures to make PBR materials with the Blender Shader Editor.
How to export the final texture maps to be used in any rendering or video game engine.
How to render and create a professional-quality presentation for our portfolio.

Requirements
Basic knowledge of Blender is recommended but not required.
Having a digitizing table can help you a lot during the sculpting process.

Description
In this video game character creation course you will learn everything you need to create stylized characters with Blender.During this course you will learn how to create PBR characters fully optimized for video games, we will apply different techniques depending on the needs of our project.We will follow the following workflow:1. Blocking: we will make the model with very basic geometries to have a general silhouette of our character with its respective accessories.2. High poly: We will detail completely the high poly model to achieve a clean surface and a high level of detail.3. Low poly: we will make an optimized low poly version using retopology and other optimization methods.4. UVs and bakes: We will do the UV unwrap and extract all the details with the map baking.5. Texturing: We will do the material texturing process in Blender using the node editor.6. Rig and Presentation: Finally we will rig our character to be able to pose it and make the final presentation.This course is aimed for intermediate users who want to deepen in the creation of characters, and has more than 25 hours of content, it is recommended that you already have basic knowledge of Blender but if you have little experience and want to take the challenge you are equally welcome, anyway I will provide you with extra material with all the basics.

Who this course is for
This course is for anyone who wants to create stylized characters to use in video games.
3D modelers who want to optimize their video game modeling workflow using Blender.

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