Embark on an engaging journey through the basics of web theory and technologies. Deepen your understanding with ChatGPT's insights and conclude your learning by creating your fully functional website with AI. This course is your gateway to mastering HTML, CSS, and JavaScript essentials while harnessing the power of ChatGPT to enhance interactivity and intelligence on your web projects.

Celebrate the world of conversational AI with our 'Intro to ChatGPT' course. Dive into the fundamentals of AI-driven chatbots, understand how ChatGPT works, and explore its exciting possibilities. Join us on a journey into the future of human-AI interaction!

Neural networks are powerful algorithms inspired by the structure of the human brain that are used to solve complex machine learning problems. You will build your own Neural Network from scratch to understand how it works. After this course, you will be able to create neural networks for solving classification and regression problems using the scikit-learn library.

Dive deep into the world of TensorFlow with our course, designed to give you a robust understanding of its core components. Begin with an exploration of tensors and the basics of TensorFlow framework. By the course's end, you'll have honed the skills to build tensor-driven systems, including crafting a basic neural network. Equip yourself with the knowledge to harness TensorFlow's full potential and set the foundation for advanced deep learning pursuits.

We are going to classify tweets according to their sentiment, determining whether they express positive, negative, or neutral emotions. We will employ natural language processing techniques to preprocess the text data, and machine learning algorithms to build and evaluate sentiment classification models. By the end of the project, we aim to achieve a robust sentiment analysis tool that can accurately categorize the emotional tone of various tweets.

Learn how to harness the power of MCP (Model Context Protocol) to connect Claude AI with your everyday tools, automate tasks, and simplify complex workflows. This course covers the foundations of MCP servers, how to set them up, and how to interact with your local environment. You'll also explore practical use cases—from integrating Google services like Gmail and Calendar, to automating Excel analysis and PowerPoint generation using Python and AI. Designed for both technical and non-technical users, this course will help you unlock real productivity gains with minimal manual effort.

Coding with AI is a hands-on course designed for professionals eager to enhance their everyday work processes without delving into full-scale programming. This course equips you with practical coding techniques and AI tools to automate repetitive tasks, seamlessly convert and organize documents, and perform advanced data analysis. Learn how to create dynamic reports from CSV files, extract critical information from PDFs, auto-categorize files, and even integrate live data feeds like currency updates—all through intuitive, step-by-step projects. With real-world examples and a focus on immediate applicability, Coding with AI empowers you to boost productivity and make smarter decisions with minimal technical background.

Building Web App with AI is a hands-on course designed for creators, educators, and professionals who want to build and customize real web apps - without needing to become programmers. This course guides you through using AI tools to generate working code for modern frontend applications using React and Next.js. You'll learn how to describe features like task forms, filters, and status indicators in plain language, then convert those ideas into functioning components with the help of AI. Through step-by-step projects, you’ll create a fully working task management app with polished styling using DaisyUI, complete with interactivity, data persistence, and responsive layout. Whether you're organizing your own workflow or prototyping a future product, this course shows you how to turn ideas into apps using AI - with zero prior coding experience required. By the end, you’ll have a live, customized web app and the skills to build more.

Data Analysis with AI is a hands-on course designed for professionals who want to simplify and supercharge their data workflows using artificial intelligence—without needing advanced technical skills. This course walks you through real-world scenarios where AI helps clean, structure, and interpret data effortlessly. You'll learn how to summarize datasets, identify trends, extract insights from spreadsheets. With intuitive tools and step-by-step guidance, Data Analysis with AI empowers you to turn complex data into clear, actionable intelligence—saving time and improving decision-making across any industry.

Explore how modern AI tools can transform the way you work and create. Learn to streamline daily tasks, generate high quality content, and speed up production using intuitive platforms built for productivity, design, audio, and video. Write faster, automate repetitive work, design stunning visuals, clean up recordings, and turn ideas into engaging videos with the help of AI. No technical background is required. Perfect for creators, marketers, educators, freelancers, and busy professionals who want to work smarter and get more done with less effort. Gain practical experience with tools that simplify complex tasks and unlock new creative potential.

Master the art of using ChatGPT to scale your marketing efforts without losing your brand's voice. In this hands-on course, you'll learn to build custom GPTs, create high-converting email campaigns, generate social media content, repurpose blog posts into video scripts and podcasts, and manage tone consistently across platforms. Explore tools like Canvas and Projects to organize workflows, collaborate effectively, and maintain context across campaigns. You'll also learn to avoid common pitfalls of over-automation and ensure your messaging remains human, relevant, and on-brand. Perfect for creators, marketers, and content teams ready to work smarter.

Comprehensive introduction to Computer Vision, focusing on machine perception and interpretation of visual data. Covers image preprocessing, feature extraction, object detection, and deep learning techniques used in modern vision systems.

Learn the fundamental and advanced concepts needed to work with PyTorch efficiently. Gain a solid understanding tensors, including creation, operations, and reshaping. Explore the essentials of gradients, backpropagation, and linear regression before moving on to handling datasets. Master the skill needed build, train, and evaluate neural networks.