Free Online Courses with Certificate
Learn Python, Data Science, AI, Web Development, Generative AI and more — completely free. Search by what you want to build, learn at your own pace, and earn a verified, shareable certificate when you’re ready.
42 courses
Flask: Lightweight Power for Web Apps
Flask is a minimal Python web framework used to build fast and flexible web applications. It provides the core tools needed for routing, APIs, and backend logic, allowing developers to scale and customize projects with ease.
Mastering Linear Regression: Theory & Implementation
This course provides a structured understanding of Linear Regression, covering fundamental theory, assumptions, model building, evaluation metrics, diagnostics, and optimization techniques. It prepares learners to build accurate, interpretable, and reliable regression models using practical implementation in Python and R.
Advanced Microsoft Excel for Data Analysis and Automation
This course provides a comprehensive understanding of Microsoft Excel, covering essential skills, advanced formulas, data management, visualization, PivotTables, automation using VBA, and integration with Power BI. It equips learners with practical techniques to analyze data efficiently, build dashboards, and automate workflows for real-world business and analytical tasks.
Mastering Random Forest Algorithms
Learn the fundamentals of the Random Forest algorithm, including decision trees, ensemble learning, bagging techniques, feature selection, model training, and performance evaluation. Explore real-world machine learning applications, classification and regression workflows, and practical implementation using Python and modern data science tools.
Responsive Web Design with Bootstrap
Bootstrap is a front-end framework that helps create responsive and mobile-first websites quickly. It provides pre-designed components, grids, and utilities, making web design faster, consistent, and efficient.
Python OOP Programming
This Python Object-Oriented Programming (OOP) course is designed to help you transition from writing basic scripts to building scalable, professional-grade software. We focus on the core principles that drive modern application development, ensuring you gain the "industry-ready" logic needed for complex projects.
Foundation Course in Generative AI
Learn the fundamentals of Generative AI and modern AI tools through practical examples and hands-on activities. This course covers AI basics, prompt engineering, AI chatbots, content generation, image generation, automation concepts, and real-world applications using popular AI platforms and tools. Ideal for students, educators, professionals, and beginners exploring the world of Artificial Intelligence.
Digital Marketing for Business Growth
Learn Digital Marketing from basics to advanced with practical strategies and real-world tools. This course covers SEO, social media marketing, Google Ads, content marketing, email marketing, analytics, branding, and online advertising techniques to help businesses grow their digital presence and reach targeted audiences effectively.
MySQL for Web and Application Development
Learn MySQL Programming from basics to advanced with hands-on database training. This course covers database design, SQL queries, table creation, joins, functions, stored procedures, triggers, and database management techniques. Students will gain practical experience in managing and developing databases for web and software applications using MySQL.
Mastering Seaborn for Statistical Data Visualization
Learn how to create powerful and visually appealing data visualizations using Seaborn. Explore statistical plotting, customization techniques, distribution analysis, categorical charts, heatmaps, and real-world data storytelling workflows used in modern data science and analytics.
Mastering Matplotlib for Professional Data Visualization
This course provides a complete foundation in Matplotlib, covering basic plotting, advanced visualization techniques, customization, integration with Pandas and Seaborn, and performance optimization. It equips learners with the skills required to create clear, professional, and scalable visualizations for data analysis and scientific computing in Python.
NumPy: The Core of Numerical Computing
NumPy is a fundamental Python library for numerical computing. It provides fast and efficient array operations, mathematical functions, and tools for handling large datasets, forming the backbone of data science and machine learning workflows.
Pandas: Data Analysis Made Simple
Pandas is a powerful Python library used for data manipulation and analysis. It provides flexible data structures like DataFrames, enabling efficient cleaning, transformation, and exploration of structured data.
ANN: Learning Like the Human Brain
Artificial Neural Networks (ANN) are machine learning models inspired by the human brain. They consist of interconnected layers of neurons that learn patterns from data, making them powerful for tasks like image recognition, prediction, and complex decision-making.
Mastering AWS Cloud Computing
Learn the core concepts of AWS and cloud computing, including cloud infrastructure, virtual machines, storage systems, networking, security, deployment, and scalable application hosting. Explore real-world AWS services and modern cloud workflows used in software development, DevOps, data engineering, and enterprise computing.
CNN: Deep Learning for Visual Intelligence
Convolutional Neural Networks (CNN) are a type of deep learning model designed for processing visual data. They automatically detect patterns like edges, shapes, and textures in images, making them highly effective for tasks such as image recognition and object detection.
Modern CSS for Web Design
CSS (Cascading Style Sheets) is used to design and style web pages. It controls colors, layouts, fonts, and responsiveness, turning basic HTML structure into visually appealing and modern interfaces.
Decision Tree Algorithms for Machine Learning
Decision Trees are a machine learning method that uses a tree-like structure of conditions to make predictions. By splitting data based on features, they create clear decision paths, making them easy to understand and useful for classification and prediction tasks.
Statistics: The Backbone of Data Analysis & Data Science
Statistics provides the methods to collect, analyze, and interpret data effectively. It helps uncover patterns, test hypotheses, and make data-driven decisions, forming the foundation for data analysis, machine learning, and predictive modeling.
Streamlit: Turn Data into Apps
Streamlit is a Python-based framework that lets you build interactive web apps for data science and machine learning projects quickly. It simplifies turning code into visual dashboards with minimal effort, making it ideal for rapid prototyping and deployment.
Streamlit Mastery for Data Scientists
Learn how to build powerful and interactive data science applications using Streamlit. Create dashboards, visualize datasets, integrate machine learning models, and develop real-world analytics tools with modern Python workflows, responsive UI components, and professional deployment techniques.
SVM: Precision in Classification
Support Vector Machine (SVM) is a machine learning algorithm used for classification and regression tasks. It works by finding the optimal boundary (hyperplane) that separates data into different classes with maximum margin, ensuring high accuracy and robustness.
Time Series Analysis and Forecasting
Learn how to analyze and forecast data collected over time using statistical and machine learning techniques. This course covers trends, seasonality, forecasting models, data visualization, moving averages, ARIMA concepts, and practical analysis using Python and data analytics tools. Ideal for students, analysts, and professionals interested in predictive analytics and business forecasting.
WordPress: Build Websites Without Coding
WordPress is a powerful content management system (CMS) that allows you to create and manage websites easily. With themes, plugins, and a user-friendly interface, it enables anyone to build professional websites without needing advanced coding skills.