Courses & Tutorials

An 8-module foundational AI course: intelligent agents, uninformed and informed search, A*, adversarial search with Minimax, constraint satisfaction and optimisation.

From linear algebra and numerical computation to perceptrons, backpropagation, optimisation, CNNs and RNNs, with hands-on PyTorch labs on MNIST and CIFAR-10.

A 13-module hands-on path through Linux, Git, Docker, Kubernetes, CI/CD, infrastructure as code and monitoring, deploying a real application to the cloud.

A 14-topic programme covering Python, NumPy, Pandas, SQL and data visualisation, with 140+ practice questions aligned to the PCED certification.

Robotics programming with ROS2 Jazzy and Python: nodes, topics, services, actions, TF, simulation, projects, quizzes and an assessment.

An 8-module Agile course: Scrum roles, events and artifacts, sprint planning, estimation, Jira and scaling Scrum in real teams.

Java programming fundamentals following the Liang textbook: syntax, control flow, methods, arrays, objects, classes and inheritance.

A 16-week university course on the systems behind modern AI: transformers, large language models, agents and mixture-of-experts architectures.

44 hands-on PyTorch coding problems, from tensors and autograd to attention and transformer blocks, with solutions and explanations.

A gentle, maths-light introduction to quantum physics: photons, wave-particle duality, the double-slit experiment and the quantum world, in English and Arabic.

Build and ship a real React + NestJS application with AI coding assistants like Claude Code, to a professional DevOps standard: tests, containers, CI/CD, deployment and monitoring. 12 modules, English and Arabic.

18 interactive, step-by-step learning roadmaps for role-based and skill-based paths: Frontend, Backend, DevOps, Python, AI Engineer, Machine Learning, Deep Learning and more.

Timed practice exams and tests for the PCED Python data-analyst certification with instant scoring.

How autonomous LLM agents plan, use tools and act: architectures, memory, tool calling and evaluation.

Implement the Reason + Act (ReAct) agent loop in Python step by step, with tool use and traces.

An interactive guide to MCP: servers, clients, tools, resources and how LLM applications connect to external systems.

How AI agents discover each other and collaborate across vendors with the A2A protocol.

Sparse mixture-of-experts architectures: routing, load balancing, and how MoE scales large language models. English and Arabic.

Architecture, training and capabilities of Meta's Llama 4 family of mixture-of-experts models.

Attention, positional encoding, encoder and decoder blocks explained with PyTorch code.

A worked, number-by-number walk through a transformer forward pass. English and Arabic.

Frequently asked questions and interview-style answers about transformer models.

Fine-tune a Hugging Face transformer for text classification end to end in PyTorch.

How diffusion models generate images: forward noising, reverse denoising, and training objectives.

Chains, prompts, memory and agents with LangChain, from first script to a working assistant.

Build a natural-language interface over SQL databases with LangChain SQL agents.

Models, views, templates and the admin: build your first Django web application. English and Arabic.

Deploy a Django application on Windows Server 2019 with IIS, FastCGI and wfastcgi.

Version control from the ground up: commits, branches, merges, pull requests and collaboration on GitHub.

Automate workflows without code using n8n: triggers, nodes, integrations and AI-powered flows.

A deep dive into the OpenManus open-source agent framework: architecture, planning, tools and execution flow.