Launch your first web app with the assistance of AI, even if you've never written code before. Create a fully featured event website that includes a live countdown, a custom design, and a functional contact form. The entire process is hands-on, visual, and guided by AI at every step. Experience real progress and build a site you'll be proud to share.

Develop an interactive AI assistant for an existing portfolio website. This project focuses on integrating the OpenAI API, designing a user-friendly chat interface, and handling user input effectively. The outcome is a smart, conversational assistant seamlessly embedded into the existing site to enhance user engagement and showcase AI integration skills.

Python is one of the most popular and versatile programming languages today. It’s easy to learn, widely used in web development, data analysis, artificial intelligence, and automation — making it the perfect first language for beginners.

Unlock the power of regular expressions in Python with our comprehensive course designed for both beginners and experienced developers. This course will take you through the essential functions of the re module, including search, findall, finditer, and more, using practical examples and hands-on exercises. You'll learn how to extract and manipulate text data efficiently, enabling you to tackle complex string processing tasks with confidence. Whether you're looking to enhance your data analysis skills or streamline your coding workflow, this course provides the tools and knowledge to master regular expressions and elevate your programming capabilities.

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.

Discover how to develop a functional task management app with the help of AI. Discover how to articulate your app's features in simple terms and translate them into functional components. Master the art of styling your app with DaisyUI, adding interactivity, and managing task data. Launch a fully functional, customized web app without needing prior coding experience.

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.

Analyze real-world retail transaction data to uncover customer purchasing patterns, peak shopping periods, and top-selling products for data-driven business optimization.

This project explores data-driven insights in animal shelter operations, focusing on factors influencing pet adoption rates using real-world datasets.

Explore relationships between economic, social, and health factors and happiness by analyzing the 2019 World Happiness Report dataset.

Explore how different architectural design features impact building energy performance by analyzing and visualizing heating and cooling loads from building simulation data.

This course guides you through analyzing and visualizing how weather and seasonal factors influence daily bike rental demand using real-world data.

Explore real-world patient heart health data to uncover relationships between chest pain types, demographics, and heart disease prevalence using Python analytics.

Explore Airbnb listings in New York by cleaning, filtering, and visualizing data to identify optimal neighborhoods, prices, and listing types.

This project introduces core techniques in environmental data analysis, focusing on sensor data cleaning, descriptive statistics, and short-term air quality trends.