Learn AI, Deep Learning & DevOps
the university way — free

Free, hands-on courses in AI, Deep Learning, DevOps, Robotics and Quantum Physics. Structured courses with worked examples and hands-on labs, by Dr. Abedal-Kareem Al-Banna.

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10

Structured courses

18+

In-depth tutorials

18

Learning roadmaps

255+

Lessons & labs

Structured Courses

Numbered modules, worked examples and a practical lab in each. Mark modules complete to track your progress and earn a certificate.

Introduction to Artificial Intelligence

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

AvailableBeginner8 modules

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

AvailableIntermediate9 modules

DevOps Lab: Learn DevOps by Doing

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.

AvailableBeginner13 modules

Data Analyst with Python (Advanced)

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

AvailableIntermediate14 modules

ROS2 Robotics Programming

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

AvailableIntermediate9 modules

Scrum Methodology

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

AvailableBeginner8 modules

Programming Language 1 (Java)

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

AvailableBeginner18 modules

Computing Systems for Data Science & AI

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

AvailableAdvanced1 modules

Quantum Physics for Beginners

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

AvailableBeginner4 modules

Englishعربي

Vibe Coding, Shipped Right

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.

AvailableIntermediate12 modules

Englishعربي

Quantum Computing

Qubits, gates, circuits and the first quantum algorithms. In preparation.

Coming 2026 Q4Intermediate

Englishعربي

Available in English and Arabic · متاح بالعربية

Full Arabic (RTL) versions with the same figures, equations and labs. Switch language from the bar at the top of any page.

Quantum Physics for Beginners

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

AvailableBeginner4 modules

Englishعربي

Vibe Coding, Shipped Right

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.

AvailableIntermediate12 modules

Englishعربي

Mixture of Experts in LLMs

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

AvailableAdvanced

Englishعربي

Transformers Step by Step

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

AvailableIntermediate

Englishعربي

Getting Started with Django

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

AvailableBeginner

Englishعربي

Tutorials & Guides

Focused deep-dives on one topic each: LLM agents, MCP, transformers, LangChain, Django, Git and more.

LLM Agents Guide

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

AvailableIntermediate

Building ReAct Agents

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

AvailableIntermediate

Model Context Protocol (MCP)

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

AvailableIntermediate

Agent-to-Agent Protocols (A2A)

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

AvailableAdvanced

Mixture of Experts in LLMs

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

AvailableAdvanced

Englishعربي

LLAMA 4: Meta's Most Advanced AI Models

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

AvailableIntermediate

Understanding Transformer Architecture

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

AvailableIntermediate

Transformers Step by Step

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

AvailableIntermediate

Englishعربي

Transformer Q&A

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

AvailableIntermediate

Text Classification with Transformers

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

AvailableIntermediate

Understanding Diffusion Models

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

AvailableAdvanced

Getting Started with LangChain

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

AvailableBeginner

Chat with Databases using LangChain

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

AvailableIntermediate

Getting Started with Django

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

AvailableBeginner

Englishعربي

Django on IIS (Windows Server 2019)

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

AvailableIntermediate

Git and GitHub Complete Interactive Tutorial

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

AvailableBeginner

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

AvailableBeginner

OpenManus Architecture

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

AvailableAdvanced

Practice & Roadmaps

Coding problems, timed exams and step-by-step learning paths.

TorchCode: PyTorch Interview Practice

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

AvailableIntermediate44 problems

Interactive Learning Roadmaps

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.

AvailableAll levels

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

AvailableIntermediate

Topics We Cover

AI & LLMs Career Data & Python Deep Learning DevOps & Tooling Programming Quantum Robotics Software Process

A*A2AAIAI AgentsAI-Assisted DevAgentsAgileArchitectureArraysAttentionAutomationAutonomousBackpropBeginnerCI/CDCNNCareerComputer VisionData AnalysisDeep LearningDevOpsDiffusionDjangoDockerExamGenerative AIGitGitHubHugging FaceIISIaCInheritanceInteroperabilityInterviewJavaJiraKubernetesLLMLLMsLangChainLearning PathMCPMetaMinimaxMoENLPNo-CodeOOPOpen SourceOptimizationPCEDPandasPhysicsPyTorchPythonQuantumRNNROS2RoadmapsRoboticsSQLScrumSearchSimulationSprintsToolsTransformersVersion ControlVibe CodingWeb DevelopmentWindows ServerWorkflow

About the author

Dr. Abedal-Kareem Al-Banna — Assistant Professor, Data Science & AI, University of Petra. PhD in Computer Science (Loughborough University, UK), researcher in deep learning and speech technology, and Vice Chair of the IEEE CS/CIS Jordan Chapter. Several courses here are the online companion to modules taught at the University of Petra.

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