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For over a decade, our private Computer Engineering tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons online, you’ll enjoy high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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121 online computer engineering teachers

Trusted teacher: In a Wireshark class, students will learn the fundamentals of using Wireshark for packet analysis and network troubleshooting. The class typically covers the following topics: 1. Introduction to Packet Analysis: - Understanding the importance of packet analysis in network troubleshooting and security. - Overview of network protocols and their role in packet communication. 2. Wireshark Installation and Setup: - Downloading and installing Wireshark on different operating systems. - Granting necessary permissions for packet capture. 3. Capturing Packets: - Selecting the appropriate network interface for capturing packets. - Starting and stopping packet capture. - Configuring capture options, such as promiscuous mode and packet filters. 4. Navigating the Wireshark Interface: - Familiarizing with the main components of the Wireshark window. - Understanding the packet list pane and its columns. - Exploring the packet details pane and various protocol layers. 5. Filtering and Display Options: - Using display filters to focus on specific packets of interest. - Applying filters based on protocols, IP addresses, ports, and other packet attributes. - Customizing column display and packet summary information. 6. Analyzing Packet Details: - Understanding the structure of a packet, including Ethernet, IP, TCP/UDP, and application layers. - Examining packet headers and payload. - Interpreting key fields, flags, and protocol-specific information. 7. Following Streams and Conversations: - Identifying and tracking network streams. - Following TCP/UDP streams to analyze complete conversations. - Extracting files and media from captured packets. Throughout the class, students will gain hands-on experience by working with Wireshark in practical exercises and case studies. They will develop the skills necessary to efficiently capture, analyze, and interpret network packets using Wireshark, enabling them to troubleshoot network issues effectively and ensure network security.
Network infrastructure · Networking · Computer engineering
Computer science · Computer programming · Computer engineering
Do you find it difficult to visualize vector spaces or struggle with the complexity of long matrix calculations? This course is specifically designed to simplify "linear algebra" and transform it from an abstract and boring subject into something understandable and enjoyable. What will you learn in this course? • Mastering matrices: A detailed explanation of multiplication operations, finding the inverse using the Gauss-Jordan method, and calculating determinants in the fastest ways. • Solving systems of equations: Mastering Cramer's Rule and Row Echelon Form methods to ensure full marks in midterms. • Understanding Vector Spaces: A deep explanation of the concepts of (Basis, Dimension, Subspaces) in a simplified style that links theory to application. • Eigenvalues & Eigenvectors: Explanation of this essential section that is frequently repeated in final exams, along with its applications in programming and artificial intelligence. Why join us? We not only explain the laws, but we also provide you with solved past years' "collections" for universities (KSU, KAU, KFUPM), with intensive practice on the most frequently asked questions, and explanations of terms in both Arabic and English to overcome the language barrier. Do you feel that linear algebra is a collection of endless riddles and matrices? Do you struggle to understand the relationship between "vectors" and the programming or engineering reality? This course is not just an academic explanation, but a comprehensive roadmap designed to take you from a stage of confusion to a stage of "absolute mastery". Why choose this particular course? We know that students at Saudi universities (such as King Saud University, King Abdulaziz University, Prince Sattam University, and Taif University) face the challenge of English language proficiency and the weight of the curriculum in the three-semester system. Therefore, we have divided the content into focused training modules that cover every aspect of the required textbook (whether it's Howard Anton or David Lay's reference). 1. Matrices and Linear Equation Systems Unit (Matrices & Systems): • Explanation of advanced solution methods: (Gaussian Elimination) and (Gauss-Jordan). • Secrets to finding the inverse of a matrix and its determinants without computational errors. • Practical applications of equation systems related to reality. 2. A Journey Through Vector Spaces: • Simplifying abstract concepts such as (Subspaces, Linear Independence, Basis, Dimension). • How to easily differentiate between real vector spaces and subspaces. 3. Linear Transformations and their relation to programming: • How to transfer data from one space to another (Kernel and Range). • The relationship between matrices and linear transformations and how they are used in image processing. 4. The top of the pyramid: Eigenvalues & Eigenvectors: • Explanation of the "Characteristic Equation". • How to calculate (Diagonalization) and use it to raise powers to large matrices. What makes us different from others? • Collections Bank: Exclusive solutions for the years 2024, 2025 and 2026 for the most important midterm and final exams in the Kingdom. • Terminology support: The material is explained in Arabic while retaining the English terminology to ensure you excel on the exam paper. • Quick-solving techniques: We teach you how to verify the accuracy of your solution using a scientific calculator to save time in the exam hall. Join over 500 students who have benefited from these explanations and turned their struggles in math into impressive success. Don't let matrices hold you back from your dream of graduating with a high GPA!
Math · Computer engineering · Chemical engineering
I offer a comprehensive training program that covers a wide range of technical and managerial knowledge, combining academic depth with practical application. The courses aim to hone trainees' skills and enable them to compete in the job market by combining the latest international curricula with practical field experience. Training includes: University courses are a requirement for the College of Engineering in general and for Electrical, Computer, Electronics, Communications and Electrical Power Engineering in particular. (Systems and Communications): Comprehensive understanding of architecture, systems integration, operational management, and alignment with international standards such as TOGAF, DoDAF, NAF, RMF. Engineering and Networking: Network design and management, cybersecurity, data centers, cloud computing, simulation, and advanced test environments using Cisco, FortiGate, VMware, Nutanix, and others. Programming and Digital Tools: Learn the basics of C, Python, and Shell, automation, using AI in education and business, and training on BI tools (Sigma BI, SAP Datasphere, SAP SD-CCM). Business and Project Management: Preparing project plans according to PMP, applying ITIL governance, risk and change management, Agile and Scrum methodologies, and drafting operational and governance documents. Professional development and personal skills: mastering presentations, preparing strategic studies and analyses, using distance learning tools, and honing communication and persuasion skills. The teaching method depends on: Gradual simplification of complex concepts with real-life examples. Balancing theoretical and practical aspects through practical workshops. Adapted to the student's level (beginner, intermediate, advanced) and target age group. This provides the trainee with comprehensive practical experience that enables them to quickly develop their skills and enhance their professional opportunities, whether in the academic, industrial, military, or commercial fields. or anything related to the following, just 🚀 route it my way: ☁ Cloud & Certifications Azure (AZ-104, AZ-204, AZ-400, AI-102, DP-100, DP-200, DP-203, DP-420) AWS (SAA-C03, DVA-C02, MLS-C01) GCP (ACE, PCD, ML, Data Engineer Pro, Cloud Developer) 💾 Big Data & Analytics Databricks, Spark / PySpark, Airflow, Hadoop, Kafka, Delta Lake Data Analytics, GenAI-Powered Data Analytics, Forensic Technology 🔧 DevOps / IaC Azure DevOps (AZ-400), Docker 🐳, Kubernetes ☸, Jenkins, Terraform 🌱, Ansible, GitHub, Puppet, Chef 🧠 AI / ML / LLMs Machine Learning, Deep Learning, NLP, MLOps Generative AI in Business, SageMaker 🤖
Electrical engineering · Software engineering · Computer engineering
Course description: This comprehensive course is designed for architects, designers, engineers, and creatives who are passionate about 3D modeling and parametrics. You will learn to master Rhino 3D, a powerful 3D modeling software, as well as Grasshopper, a parametric plugin that allows you to generate complex shapes using visual programming. Course objectives: Learn how to use Rhino's basic and advanced tools to create accurate and detailed 3D models. Master the concepts of parametric modeling using Grasshopper to generate dynamic and adaptive shapes. Understand how Rhino and Grasshopper integrate to automate design processes and improve efficiency. Create real-world projects ranging from designing simple geometric shapes to complex, custom structures. Course content : Introduction to Rhino 3D: Interface, basic commands, and navigation in the 3D workspace. Advanced modeling techniques: Creation of surfaces, solids and networks of curves. Introduction to Grasshopper: Understanding the logic of visual programming and its applications in parametric design. Parametric Design: Using Grasshopper to create complex shapes based on variables and constraints. Practical application: Completing a complete project by combining Rhino and Grasshopper, from design to completion. Prerequisites: No specific prerequisites are necessary for this course. However, a basic knowledge of 3D design or modeling software is a plus. Target audience : Architects and designers wishing to deepen their skills in 3D modeling and parametric design. Engineers and technicians interested in design automation and the integration of digital solutions into their creative process. Methodology: The course combines theoretical explanations with practical exercises and case studies. Question-and-answer sessions and workshops will allow participants to work on personal projects throughout the training.
Computer modeling · Cad software · Computer engineering
Course Description: This advanced course is designed for engineering professionals who wish to evolve into strategic leadership roles in information security, such as ISO (Information Security Officer), BISO (Business Information Security Officer) or CISO (Chief Information Security Officer). Throughout the program, participants will acquire the technical, strategic and management skills necessary to lead security initiatives, protect critical assets and ensure regulatory compliance in complex corporate environments. Key topics will be explored, such as designing cybersecurity strategies, implementing governance policies, assessing risks and communicating effectively with senior management. Main objectives of the course: Understand the regulatory framework and international standards such as ISO 27001, PCI DSS, and GDPR. Develop skills to manage comprehensive security programs aligned with business objectives. Design incident response, business continuity and disaster recovery strategies. Improve the ability to lead multidisciplinary teams and manage cybersecurity budgets. Strengthen executive communication to report risks and proposals to management and board levels. Addressed to: Engineers with experience in technical areas of computer security, networks, development or auditing, who seek to make the leap to strategic leadership positions in cybersecurity. Methodology: The course combines theoretical sessions, real case studies, practical workshops and simulations of leadership scenarios. In addition, support is offered for the design of professional development plans and relevant certifications such as CISSP, CISM and CRISC. Duration: 10 weeks (includes a final evaluation and an applied strategic project). Modality: In-person, virtual or hybrid. This course is the first step in transforming your technical experience into a career in enterprise-level information security leadership.
Information technology · Computer engineering · Computational neuroscience
Dive into the world of Python programming and machine learning in this hands-on introductory class! This course is designed for beginners and focuses on the foundational concepts of Python, along with the essentials of machine learning. Course Highlights: Python Fundamentals: Learn the basics of Python programming, including data types, control structures, functions, and libraries. Through practical exercises, you’ll gain confidence in writing and executing Python code. Data Manipulation and Analysis: Explore popular libraries like NumPy and pandas to handle and analyze data efficiently. Understand how to clean, process, and visualize data, preparing it for machine learning tasks. Introduction to Machine Learning: Discover the key concepts of machine learning, including supervised and unsupervised learning, algorithms, and model evaluation. Gain insights into how machines learn from data. Hands-On Projects: Apply your knowledge through real-world projects, where you'll build simple machine learning models using libraries such as scikit-learn. You'll learn to make predictions and evaluate model performance. Collaboration and Support: Work alongside fellow students in a collaborative environment, with ample opportunities for group discussions and individual support from the instructor. Who Should Enroll: This class is ideal for anyone interested in starting a career in data science or machine learning, or for those looking to enhance their programming skills with practical applications in Python. Join us and embark on an exciting journey into the realm of programming and machine learning!
Computer programming · Computer engineering · Computer science
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Our students evaluate their Computer Engineering teacher.

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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.6 out of 5 based on 9 reviews.

Python Step by step tutorial for beginners and intermediate (Amsterdam)
Izhar
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Izhar is an excellent tutor. He is very professional, knowledgeable, enlightening, insightful and adaptable/receptive to individual student needs. My tutoring session with him was really amazing and transformative for me and I highly recommend him. He keeps his lessons effective, engaging and fun. He customizes classes based upon your level of understanding. He conveys his knowledge of complex material in a manner which is easily understandable. If you want someone to work with you and ensure you progress like I have, go with Izhar.
Review by DANNY
Linux, Bash , Python Programming Beginner Class : 101
Sivasubramanian
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A great lesson. Siva is experienced and knowledgeable. I'm really glad to have found him.
Review by DON
Programming class teacher for Bachelor, College and middle school (Maastricht)
Alexandre
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Really amazing and patient tutoring.
Review by AZITA
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