Available courses

HTML & CSS Fundamentals

This beginner course introduces learners to the core concepts of HTML5 and CSS, providing a solid foundation for building and styling web pages. Over four sections, students will explore HTML structure, basic and advanced CSS, and essential responsive design techniques to create adaptable, modern websites.

JavaScript Essentials

This beginner-level course provides a comprehensive introduction to JavaScript, covering core concepts from basic syntax and functions to DOM manipulation and modern ES6+ features. Learners will build foundational skills through hands-on lessons and quizzes, culminating in a practical project to consolidate their knowledge.

Styling & UI Frameworks

This beginner-level course introduces essential concepts and practical skills for styling web interfaces. Starting with advanced CSS techniques and modern layout systems, learners will progress to understanding and applying popular UI frameworks. By the end of the course, students will be able to create visually appealing, responsive web pages using both custom CSS and established UI frameworks.

Tooling & Build Systems

This beginner-level course introduces learners to essential development tooling and build systems. Starting with foundational concepts around NPM and package management, the course progresses into modern build tools, equipping students with the skills to manage project dependencies and automate development workflows.

React JS

This beginner-friendly course introduces learners to React JS, a popular JavaScript library for building user interfaces. Over four weeks, students will explore React fundamentals, work with hooks and forms, manage navigation and state, and complete a hands-on project while gaining insight into related frameworks.

APIs & Authentication

This beginner-level course introduces learners to working with APIs in JavaScript, focusing on how to access and manipulate data from external sources. The course then explores foundational authentication concepts, including OAuth and JWT, equipping students with essential skills to securely connect to and interact with modern web services.

TypeScript

This beginner-level course provides a comprehensive introduction to TypeScript, covering the fundamental concepts and progressing to more advanced usage. Learners will develop a solid understanding of TypeScript syntax, types, interfaces, and practical applications, preparing them to confidently use TypeScript in real-world projects.

UI/UX & Design Thinking

This beginner-level course introduces learners to the fundamentals of user experience (UX), user interface (UI), and design thinking. Through a structured exploration of core principles, prototyping methods, and user testing, students will gain practical skills to design effective, user-centered digital products.

Build Projects & Portfolio

This beginner-friendly course guides you through the fundamentals of building responsive, real-world websites. You will learn essential web development skills by creating practical projects that showcase your abilities, helping you build a strong portfolio for future opportunities.

Testing

This beginner-level course introduces learners to software testing fundamentals using React Testing Library and Jest. Through practical lessons and quizzes, students will learn how to write, run, and interpret tests for React applications, ensuring code reliability and quality.

Final Project – Real Python App

In this advanced, week-long capstone course, you'll synthesize your Python expertise by designing and building a full-fledged project of your choice—be it a command-line tool, web application, or data analysis dashboard. You'll gain hands-on experience in project planning, code organization, testing, documentation, and preparing your work for sharing or deployment. Receive valuable feedback through peer review or instructor guidance.

Building Web Applications with Flask

This advanced course guides learners through the process of building robust and interactive web applications using Flask, a lightweight and flexible Python web framework. Participants will master advanced routing, dynamic template rendering, static content management, and application logic, culminating in the development of a fully functional Flask application.

Python for Data Analysis (Pandas & NumPy)

This advanced two-week course empowers learners to master high-performance data analysis using Python’s NumPy and Pandas libraries. Participants will gain expertise in manipulating, cleaning, transforming, and visualizing structured datasets—building a strong foundation for advanced data science and machine learning workflows.

Working with Libraries and APIs

This advanced one-week course empowers learners to enhance Python applications by mastering third-party library management with pip and leveraging public APIs using the requests library. Participants will gain expertise in installing and managing packages, understanding PyPI, sending and handling complex HTTP requests, and parsing real-world JSON data to build robust API clients.

Object-Oriented Programming with Python

This advanced course immerses learners in the principles and practices of object-oriented programming (OOP) using Python. Participants will explore the core pillars of OOP—classes, objects, inheritance, encapsulation, and polymorphism—enabling them to design structured, maintainable, and reusable code. Through hands-on lessons and case studies, learners will gain the skills to model complex real-world systems using advanced OOP features and best practices in Python.

Working with Files and Error Handling

This beginner-level course introduces learners to working with files in Python, including reading, writing, and managing file paths and modes. Learners will also gain foundational knowledge of error handling, using try/except blocks, and creating custom exceptions to build more robust and reliable applications.

Functions and Modules in Python

This intermediate course empowers learners to write reusable and organized Python code by mastering functions, modules, and packages. Covering function creation, parameters, scope, built-in and lambda functions, recursion, and modular program structure, students will develop skills to build maintainable and efficient Python projects.

Python Data Structures

This intermediate-level course explores essential Python data structures, including lists, tuples, dictionaries, and sets. Learners will understand the properties, use cases, and effective manipulation of each structure, enabling them to write efficient and robust Python code for real-world applications.

Introduction to Programming with Python

This beginner-level course introduces the fundamentals of programming using Python. Learners will explore variables, data types, input/output, and foundational control flow concepts such as conditional statements and loops. The course is ideal for those new to coding and aims to equip students with the skills to write and understand simple Python programs.

Fundamentals of Web Development

This beginner-level course introduces learners to the essential principles and technologies of web development. Covering HTML, CSS, responsive design, JavaScript basics, and browser tools, students will gain practical skills to create, style, and debug basic web pages.

Back-End Development

This intermediate course provides a comprehensive overview of modern back-end development. Learners will explore foundational technologies, develop skills in Node.js and Express.js, and build robust APIs with REST and GraphQL. The course covers essential topics such as authentication, authorization, and best practices in API design, preparing participants to create secure and scalable server-side applications.

Career Development for Full-Stack Developers

This beginner-level course is designed to guide aspiring full-stack developers through the essential steps of launching and advancing their careers. Learners will discover how to build a compelling portfolio, craft effective resumes and cover letters, prepare for technical interviews, and develop a strong professional network and personal brand.

Ethics and Best Practices in Web Development

This intermediate course guides web developers through the ethical and best-practice considerations essential to modern web development. Covering security fundamentals, accessibility standards, ethical coding, and privacy compliance, learners will gain practical knowledge to create secure, inclusive, and responsible web applications.

DevOps and Deployment

This advanced course delves into the core principles and practices of DevOps, focusing on automation, scalable deployments, and operations in modern cloud environments. Learners will master CI/CD pipelines, Docker-based containerization, multi-cloud deployment strategies, and robust monitoring and logging solutions to enable resilient and efficient software delivery.

Full-Stack Project Development

This advanced course guides learners through the complete lifecycle of full-stack application development, from planning and architectural design to building robust front-end interfaces and scalable back-end APIs. Participants will master integrating front-end with back-end systems, deploying applications using modern cloud platforms, and ensuring quality through testing and debugging best practices.

HTTP and Web Protocols

This intermediate course provides a comprehensive understanding of HTTP/HTTPS fundamentals, explores the differences between REST and SOAP APIs, delves into real-time web communication with WebSockets, and covers caching and performance optimization techniques. Learners will gain practical knowledge and skills essential for working with modern web protocols and building efficient, secure web applications.

Version Control and Collaboration

This beginner-level course introduces the fundamentals of version control, focusing on Git and collaborative workflows using GitHub. Learners will develop practical skills in tracking changes, managing branches, collaborating with others, and resolving merge conflicts to streamline teamwork and code management.

Database Management

This intermediate-level course provides a comprehensive overview of database management systems, focusing on both relational (SQL) and non-relational (NoSQL) databases. Learners will explore foundational concepts, practical skills in SQL and NoSQL platforms, data modeling techniques, query optimization strategies, and principles of transactions and concurrency control. The course is designed to equip participants with the knowledge and hands-on abilities required to design, query, and maintain robust database systems.

Front-End Development Libraries

This intermediate course guides learners through the essential front-end development libraries and frameworks. Starting with foundational concepts, the course progresses through React fundamentals, state management, component architecture, routing, and advanced styling techniques. Learners will gain practical, hands-on knowledge to build scalable and maintainable front-end applications using modern libraries.

Advanced Topics in Data Science

This advanced course delves into emerging and transformative areas in data science, including Quantum Computing, Edge Computing, Blockchain applications, Federated Learning, Explainable AI, and NeuroSymbolic AI. Learners will explore the theoretical foundations, practical implementations, and real-world use cases of these technologies, preparing them to tackle complex data science challenges at the cutting edge of research and industry.

Image and Video Processing

This beginner-level course introduces the fundamentals of image and video processing, covering techniques and tools for analyzing visual data such as image segmentation, object detection, image generation, video analysis, 3D image processing, and deepfake detection. Learners will gain practical knowledge for recognizing, analyzing, and manipulating images and videos.

Interpretability of Machine Learning Models

This beginner-level course introduces the key concepts and practical tools used to explain and visualize how machine learning models make decisions. Learners will explore feature importance, partial dependence plots, LIME, SHAP, and model visualization techniques, gaining hands-on experience with popular interpretability tools.

Reinforcement Learning

Learn the fundamentals of reinforcement learning (RL), where agents learn to make decisions by interacting with environments. This beginner-level course introduces foundational RL algorithms and models, enabling you to train agents using Q-Learning, Deep Q-Learning, Policy Gradients, Actor-Critic methods, Multi-Armed Bandits, and Inverse Reinforcement Learning.

AI Ethics and Fairness

This beginner-level course introduces the core ethical considerations in artificial intelligence, with a focus on fairness, bias, privacy, transparency, and responsible AI deployment. Learners will explore real-world examples, foundational concepts, and best practices for developing and using AI in a socially responsible and equitable manner.

Time Series Analysis

Learn to forecast and analyze temporal data by exploring core time series concepts, methods, and models. This beginner-level course introduces essential techniques such as stationarity, classical statistical models, forecasting, state space models, and neural networks for time series analysis.

Deep Learning

Dive deep into deep learning by exploring foundational neural network models and hands-on frameworks like TensorFlow and PyTorch. This beginner course introduces essential architectures including CNNs, RNNs, GANs, and Autoencoders, providing practical experience in building and training models using popular deep learning libraries.

Natural Language Processing (NLP)

Explore the fundamentals of Natural Language Processing (NLP) to analyze and model human language. This beginner-level course introduces essential NLP techniques including tokenization, word embeddings, sentiment analysis, machine translation, chatbots, and voice recognition systems, enabling learners to understand and build simple NLP applications.

Predictive Modeling

This beginner course introduces fundamental predictive modeling techniques, guiding learners through building and evaluating models for prediction using classic and ensemble methods. Learners will gain hands-on experience with linear and logistic regression, decision trees, random forests, support vector machines, and ensembling techniques to develop effective predictive solutions.

Data Science Tools

Get familiar with key tools used in the data science workflow, from Jupyter Notebooks to Tableau, PowerBI, and more. This beginner-level course introduces the foundational features and workflows of six essential data science platforms, enabling learners to confidently select and use the right tool for different stages of data analysis.

Data Management

Learn the fundamentals of data management, including how to organize, store, and access data using databases, data warehousing, ETL processes, big data tools, NoSQL databases, and cloud-based storage solutions. This beginner-level course provides a comprehensive introduction to essential data management technologies and practices.

Data Manipulation and Analysis

Learn the fundamentals of cleaning, transforming, and visualizing data using essential data science tools and libraries in Python, R, and SQL. This beginner-friendly course guides you through each stage of the data analysis process, equipping you with practical skills to handle real-world data challenges.

Machine Learning

This beginner-level course introduces the fundamentals of machine learning, including key concepts and techniques in supervised, unsupervised, and reinforcement learning, as well as neural networks, deep learning, and feature engineering. Learners will gain a solid foundation to understand, apply, and explore machine learning methods in real-world scenarios.

Microservices

This beginner-level course guides you through the fundamentals of microservices, from core concepts to architecture, communication patterns, data management, deployment, and testing. Over six weeks, you'll learn how to design, build, and test scalable microservices using industry best practices.

Chaos Engineering

This 6-week beginner course introduces the fundamentals of Chaos Engineering, guiding learners through core concepts, essential tools, and practical experiments to test and enhance system resilience. By the end, participants will understand how to design, execute, and analyze chaos experiments, especially in cloud-native and Kubernetes environments.

Service Mesh

This beginner-level course introduces the fundamentals of service mesh technology in microservices architectures. Over three weeks, learners will explore the core concepts, benefits, and leading tools in the service mesh ecosystem, including Istio, Linkerd, Envoy, and Consul. Through structured lessons and quizzes, students will gain practical insights into deploying and managing service meshes to enhance security, observability, and traffic management in distributed systems.

Serverless Architecture

Learn the fundamentals of serverless computing and how to build scalable applications using leading serverless platforms like AWS Lambda, Google Cloud Functions, and the Serverless Framework. This beginner-friendly course guides you through the core concepts, practical implementations, and essential tools for modern serverless development.

Continuous Delivery and Deployment

This beginner-level course introduces the principles and practices of continuous delivery and deployment. Learners will explore key strategies such as blue/green deployments, GitOps, and advanced delivery tools, enabling them to automate and streamline the deployment process with confidence.

Security in DevOps (DevSecOps)

This beginner-level course introduces learners to the principles and practices of integrating security into every phase of the DevOps lifecycle. Over six weeks, students will explore foundational DevSecOps concepts, secrets management, network security, compliance automation, security scanning, and threat modeling, gaining practical skills to build and maintain secure software delivery pipelines.

Cloud Providers

This beginner-level course introduces the key concepts, services, and features of leading cloud providers including AWS, Google Cloud, Microsoft Azure, and Oracle Cloud. Learners will gain foundational knowledge to support DevOps processes by exploring core services, basic management, and essential security features across each platform.

Monitoring and Logging

This beginner-level course introduces the fundamentals of monitoring and logging in modern IT environments. Over three weeks, you will learn the importance of monitoring and logging, explore popular open-source tools such as Prometheus, Grafana, and the ELK Stack, and get started with essential AWS monitoring services. By the end, you'll be able to set up basic monitoring and logging solutions to improve system reliability and observability.

Infrastructure as Code

This beginner-level course introduces the fundamentals of Infrastructure as Code (IaC), focusing on provisioning and managing cloud resources using tools like Terraform, AWS CloudFormation, and deployment scripts. Learners will gain practical knowledge to automate infrastructure deployment, manage configurations, and follow best practices for reproducible cloud environments.

Containerization

This beginner-level course introduces the fundamentals of containerization. You will learn how to package applications with Docker, manage multi-container setups with Docker Compose, and gain a foundational understanding of container orchestration using Kubernetes and Docker Swarm. By the end of this 3-week course, you’ll be able to containerize simple applications and understand essential deployment concepts.

Configuration Management

This beginner-level course introduces the fundamentals of configuration management, focusing on automating infrastructure management with Ansible, Puppet, and Chef. Over three weeks, learners will gain hands-on experience with real-world examples, understanding core concepts and writing basic automation scripts using industry-standard tools.

Continuous Integration

This beginner-level course introduces the fundamentals of Continuous Integration (CI), focusing on automating build, test, and deployment processes using Jenkins and GitHub. Over three weeks, learners will gain hands-on experience setting up CI pipelines, connecting code repositories, and streamlining development workflows.

Version Control System

This beginner-level course introduces the fundamentals of version control systems using Git and GitHub. Over two weeks, learners will explore how to track changes in code, collaborate with others, manage repositories, and contribute to open-source projects, building a solid foundation for modern software development workflows.

Scripting Language

This beginner-friendly course introduces the essentials of scripting languages, focusing on Python, Bash, Ruby, Perl, and JavaScript. Over three weeks, learners will build foundational skills in each language and apply them to automate and manage basic system tasks.

Linux Fundamentals

This beginner-level course provides a comprehensive introduction to Linux, covering essential skills such as using basic commands, understanding the file system, managing processes, handling permissions, installing packages, and configuring basic networking. By the end of the course, learners will be equipped with the foundational knowledge needed to confidently use and navigate Linux systems.

Introduction to DevOps

This beginner-level course provides a comprehensive introduction to DevOps, covering its core concepts, lifecycle, best practices, essential tools, and how it compares to Agile. Over six weeks, learners will build foundational knowledge to understand, discuss, and begin engaging with DevOps principles and practices.

Backend Development

Learn how to build robust server-side applications and APIs using popular backend programming languages and frameworks. This beginner-level course covers Node.js, Python (Flask and Django), Ruby on Rails, PHP (Laravel and Symfony), Java (Spring), serverless architecture, and API design best practices with a focus on performance, scalability, and secure data handling.

Web Security

This beginner-level course introduces the core concepts of web security, focusing on protecting web applications from common threats. Learners will explore fundamental security protocols, the OWASP Top 10 vulnerabilities, authentication and authorization techniques, encryption basics, secure coding practices, ethical hacking foundations, and relevant cybersecurity laws and compliance requirements. By the end of the course, students will be equipped with essential knowledge to build and maintain secure web applications.

Soft Skills

Develop the essential interpersonal and professional skills required to succeed in tech teams. This beginner-level course will help you communicate clearly, collaborate effectively, manage your time, solve problems, and navigate team dynamics as a well-rounded software engineer.

Problem Solving

Sharpen your programming and critical thinking skills with this beginner-friendly course on problem solving. Learn core principles including algorithm analysis, debugging, code review, refactoring, and domain-driven design. Through practical lessons and quizzes, you'll build foundational skills to approach, analyze, and solve complex programming challenges with confidence.

Version Control

Master the essentials of version control systems to track code changes, collaborate with teams, and manage software releases. This beginner-friendly course focuses on using Git, exploring popular cloud repositories, understanding collaboration workflows, and resolving common issues in modern development environments.

Quality Assurance

Gain foundational skills in software quality assurance through essential manual and automated testing practices. This beginner-level course introduces core QA concepts, manual and automated test techniques, key tools, and methodologies to ensure reliable, high-quality software that meets user expectations.

DevOps

Bridge the gap between development and operations by learning foundational DevOps practices. This beginner-level course introduces automation, monitoring, and scalable software delivery pipelines using industry-standard tools such as Docker, Kubernetes, Jenkins, and cloud platforms.

Front-End Development

Learn the fundamentals of front-end development by building interactive and visually engaging web interfaces. This beginner-friendly course covers essential technologies such as HTML, CSS, and JavaScript, and introduces modern frameworks and libraries including React, Vue, Angular, jQuery, Bootstrap, and Semantic UI. By the end, you will be able to create responsive and user-friendly web applications.

Databases

Master the core concepts of data storage and retrieval. This beginner-level course provides a comprehensive introduction to database systems, covering traditional SQL, modern NoSQL, in-memory, graph, and distributed databases. Learners will gain practical skills in designing efficient and scalable data solutions using industry-standard technologies.

Software Development Processes

Learn how modern software development teams manage complexity and deliver reliable software. This beginner-level course introduces various development methodologies and practices—including Agile, Waterfall, Kanban, Lean, XP, RUP, and DevOps—that are essential for planning, building, and maintaining high-quality software applications.

Programming Languages

Explore the essential tools software engineers use to communicate with computers. This beginner course introduces the syntax, semantics, and paradigms of multiple popular programming languages. You will learn foundational programming concepts, compare language features, and gain practical experience to help you choose the right language for different software projects.

Computer Science Basics

Build a strong foundation in software development by learning the core principles of computer science. This beginner-level course explores programming fundamentals, data structures, and essential languages and paradigms, equipping you to write efficient, maintainable, and scalable code across multiple platforms.

SRE Metrics and Reliability Engineering Practices

This beginner-level course introduces the foundational concepts of Site Reliability Engineering (SRE) metrics, with a focus on Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets. Learners will also explore essential availability and recovery metrics such as MTTR, MTBF, and latency, gaining practical knowledge on how to measure and improve system reliability over two weeks.

Virtualization, Storage, and System Design

This beginner-level course introduces the fundamentals of virtualization technologies (KVM, Xen, VMWare), storage solutions (NAS, SAN), and distributed file systems. Learners will gain practical knowledge to design scalable and resilient IT infrastructure.

Performance Tuning, Web & Database Technologies

This 3-week beginner course introduces the fundamentals of optimizing compute, database, and web server performance. Through hands-on lessons, learners will discover how to tune Linux systems, improve web server efficiency using NGINX and Apache, and enhance the performance of SQL and NoSQL databases. Emphasis is placed on identifying performance bottlenecks and applying practical tuning techniques.

Incident Management & Postmortem Practices

This beginner-level course introduces the fundamentals of incident management in production environments. Learners will gain hands-on exposure to industry-standard tools such as PagerDuty, OpsGenie, and Jira. The course also covers essential skills in postmortem writing and root cause analysis (RCA), enabling participants to handle incidents effectively and document learnings for continuous improvement.

Observability: Monitoring, Logging & Alerting

Gain foundational skills in observability by learning how to monitor systems, aggregate logs, and set up actionable alerts. Explore industry-standard tools including Prometheus, Grafana, ELK Stack, Fluentd, Zabbix, and Splunk. Build dashboards, define key service metrics, and create alerting rules, all tailored for beginners aiming to master the modern observability stack.

Containerization & Kubernetes Orchestration

This beginner-level course introduces the fundamentals of containerization with Docker and orchestration using Kubernetes. Across three weeks, learners will gain hands-on experience building and managing containers, explore core Kubernetes concepts, and deploy containerized applications using managed Kubernetes services on AWS (EKS), Google Cloud (GKE), and Azure (AKS).

Cloud Platforms for SRE

This beginner-level course introduces Site Reliability Engineers (SREs) to the fundamentals of major cloud platforms. Over two weeks, you'll learn how to work with compute, storage, networking, and IAM across AWS, Azure, GCP, Alibaba Cloud, and Oracle Cloud. By the end, you'll understand the core concepts and capabilities of each platform, preparing you for hands-on cloud operations.

CI/CD & Automation Pipelines

Learn the fundamentals of Continuous Integration and Continuous Deployment (CI/CD) by exploring essential automation pipeline tools such as Jenkins, GitHub Actions, GitLab CI, Bamboo, TeamCity, and CircleCI. This beginner-friendly course covers foundational concepts and practical skills to help you implement, configure, and manage CI/CD pipelines for modern software development.

Infrastructure as Code & Automation Tools

This beginner-level course introduces the key concepts and tools in Infrastructure as Code (IaC), including Terraform, Ansible, Chef, and Puppet. Over three weeks, learners will gain hands-on experience provisioning, configuring, and managing infrastructure using reproducible code and automation patterns. By the end, participants will be confident in foundational IaC practices and prepared for further study or entry-level DevOps roles.

Network and Security Engineering for SREs

Gain a foundational understanding of how systems communicate and the essential practices to secure them. This hands-on course, designed for Site Reliability Engineers (SREs) at the beginner level, covers core networking concepts such as TCP/IP, security protocols, firewalls, VPNs, intrusion detection systems (IDS), and load balancers. Learn to diagnose, secure, and optimize networked infrastructure from an SRE perspective.

Scripting & Automation Essentials

Learn the fundamentals of automating everyday tasks using scripting languages like Python and Bash. This beginner-friendly, two-week course covers scripting basics, best practices, real-world automation scenarios, and task scheduling to boost your productivity.

Linux, Networking, and Shell Foundations

Build a solid foundation in Linux, file systems, and core networking principles. This beginner-friendly course introduces essential Linux/Unix concepts, networking basics, process management, shell scripting, and security practices—key skills for anyone starting out in Site Reliability Engineering (SRE) or IT operations.

Real-world Projects and Research

This advanced course consolidates your machine learning expertise by guiding you through the complete lifecycle of real-world projects and research. Emphasizing creativity, innovation, and mastery, you'll select domains, plan and execute projects, handle real data, leverage advanced modeling, ensure explainability and fairness, communicate your findings, and publicly showcase your work. The course culminates in a capstone project that prepares you for impactful ML roles in industry or academia.

MLOps and Deployment

Master the deployment of machine learning models in production environments. This advanced course covers the end-to-end MLOps lifecycle, including reproducibility, experiment tracking, CI/CD automation, scalable serving, monitoring, and retraining. Gain hands-on expertise with essential tools and best practices to ensure your ML systems are robust, reliable, and production-ready.

Computer Vision

Explore the world of images and video in this intermediate course. Learn to build systems that interpret and understand visual input using both classical computer vision techniques and modern deep learning architectures, culminating in a hands-on capstone project.

Natural Language Processing (NLP)

This intermediate course explores the fundamental and advanced concepts of Natural Language Processing (NLP). Learners will delve into traditional NLP techniques, modern machine learning methods, and state-of-the-art deep learning approaches such as Transformers and large language models. Through hands-on projects and real-world applications, participants will gain practical experience in building and evaluating NLP systems.

Deep Learning and Neural Networks

This intermediate course provides a comprehensive journey through deep learning concepts, focusing on neural networks, backpropagation, CNNs, RNNs, and transformer architectures. Learners will gain practical experience training and deploying deep learning models using TensorFlow and PyTorch, preparing them to tackle real-world AI challenges.

Machine Learning Foundations

This course provides an in-depth exploration of classical machine learning principles and algorithms. Learners will develop a strong understanding of supervised and unsupervised learning methods, model evaluation and selection, ensemble techniques, and practical skills in feature engineering and building robust ML pipelines. By the end of the course, students will be equipped to analyze, build, and optimize machine learning models for a variety of real-world problems.

Mathematics for Machine Learning

Master the core mathematical concepts essential for understanding and building machine learning algorithms. This beginner-friendly course introduces linear algebra, calculus, probability, statistics, information theory, and optimization—equipping you with the mathematical foundation required to analyze and implement ML models.

Programming Foundations for Machine Learning

Build a strong foundation in programming with Python and essential development tools. This beginner-friendly course introduces core coding principles, key software tools, and basic data handling skills—all vital for success in machine learning projects.

Mobile App Deployment

This beginner-level course introduces learners to the essential concepts and practical steps involved in deploying mobile applications. Covering both Android and iOS platforms, the course guides students through the complete deployment workflow—from initial release preparation to publishing and maintaining apps on app stores.

Introduction to Mobile Development

This beginner-level course provides a comprehensive overview of mobile development, including native, cross-platform, and web-based approaches. Learners will explore major mobile platforms, tools, frameworks, and decision-making factors to choose the right development strategy for different needs.

iOS Native Development

This beginner-level course introduces learners to native iOS app development using Swift and Xcode. Through hands-on lessons, students will explore the Apple ecosystem, set up their development environment, learn Swift basics, design interfaces with UIKit, and build a simple iOS application. No prior programming experience is required.

Android Native Development

This beginner-level course introduces learners to Android native development, starting from foundational Android concepts and environment setup, through core Android components, basic Kotlin programming, and building a simple Android app. By the end of the course, learners will have the skills and confidence to begin developing native Android applications using modern tools and languages.

Xamarin Development

This beginner-level course introduces learners to Xamarin, a cross-platform framework for building mobile apps using C# and .NET. Through hands-on lessons and quizzes, students will learn the essentials of Xamarin, how to set up their development environment, grasp foundational C# and .NET concepts, design user interfaces with XAML, and build a simple Xamarin app.

Flutter Development

This beginner-level course introduces learners to Flutter, a popular framework for building cross-platform mobile applications. The course covers the basics of Flutter and Dart, guides you through environment setup, explores Dart programming fundamentals, explains UI design and layout in Flutter, and culminates in building a simple app. By the end, you'll have a strong foundation to start developing your own Flutter applications.

React Native Development

This beginner-level course introduces learners to React Native, guiding them through the fundamentals of cross-platform mobile app development. You will explore core concepts, set up your development environment, build user interfaces, and create your first simple mobile application using React Native.

Hybrid App Development with Ionic

This beginner-level course introduces learners to hybrid app development using the Ionic framework. Covering the fundamentals from understanding hybrid apps and setting up Ionic, to building user interfaces, accessing device features, and deploying apps, this course provides a hands-on foundation for creating cross-platform mobile applications with ease.

Progressive Web Apps (PWA) Development

This beginner-level course introduces learners to Progressive Web Apps (PWAs), guiding them through the fundamentals of PWA concepts, basic setup, core technologies, offline capabilities, and deployment. By the end of the course, participants will be able to create, configure, and deploy a simple PWA, and understand best practices for delivering app-like experiences on the web.