AI & Cybersecurity

Mastering these fields ensures innovation and digital security.

Learning AI and cybersecurity is crucial for software engineers in today’s fast-changing tech world. AI drives innovation by enabling smarter systems, automating tasks, and analyzing data, while cybersecurity protects systems and data from threats in an increasingly connected digital environment. Together, these skills empower engineers to build secure, reliable, and cutting-edge technologies for the future.

Technologies

Introduction to Computer Science

Harvard’s flagship entry-level course teaches programming, algorithms, data structures, web basics and more, all with David Malan’s high-energy lectures and hands-on problem sets.

Introduction to Algorithms

A rigorous, math-oriented treatment of algorithm design and analysis, featuring lecture videos, problem sets and exams straight from MIT.

Deep Learning for Computer Vision

The go-to resource for convolutional neural networks, covering the theory and practice of modern deep-learning vision systems with detailed lecture notes and assignments.

Machine Learning

A pioneer’s gentle, calculus-light introduction to the core algorithms behind supervised and unsupervised ML, complete with graded programming exercises in Octave/MATLAB or Python.

Kubernetes - The Hard Way

A step-by-step, “no-shortcuts” walkthrough that forces you to bootstrap each Kubernetes component manually—perfect for really understanding how clusters fit together.

Learn Web Development

Mozilla’s continually-updated, vendor-neutral curriculum covering HTML5, CSS, JavaScript, accessibility and tooling, with interactive examples and practice projects.

Android Basics

Free, self-paced Google course that walks true beginners through building their first Android apps while learning Kotlin and Android Studio fundamentals.

React Native – Getting Started

The canonical guide from reactnative.dev that shows how to spin up your first Expo-powered React Native project for both Android and iOS.

Introduction to Cybersecurity

A free, self-paced MOOC covering threats, trends, careers and fundamental defensive concepts from Cisco Networking Academy.

TryHackMe “Pre-Security” Path

An interactive browser-based learning track that builds the technical groundwork you need before diving into offensive or defensive hacking.

Figma Learn “Design for Beginners”

A browser-based, 30-chapter course that teaches frames, auto-layout, components and prototyping while you build a portfolio web page.

Google UX Design

Coursera’s industry-recognised program taught by Google designers; covers research, wireframing, prototyping and portfolio building.

Masters Degree Courses

Software Engineering

Software engineering is the application of engineering principles to design, develop, and maintain software systems. It focuses on creating reliable, efficient, and scalable software solutions through structured methodologies, including coding, testing, and deployment.

Artificial Intelligence

Artificial Intelligence (AI) is the field of computer science focused on creating systems capable of performing tasks that typically require human intelligence, such as learning and decision-making. It uses algorithms, data, and models to enable machines to adapt and improve their performance over time.

Cybersecurity

Cybersecurity is the practice of protecting systems, networks, and data from digital threats like hacking, malware, and unauthorized access. It involves implementing security measures such as encryption, firewalls, and authentication to ensure the confidentiality, integrity, and availability of digital assets.

Data Science

Data science involves using statistical analysis, algorithms, and machine learning to extract insights and patterns from data. It combines programming, mathematics, and domain knowledge to make data-driven decisions and predictions in various fields.