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Since April 2026
Instructor since April 2026
Introduction to AI Data Annotation: Foundations for Machine Learning
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From 43 C$ /h
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This course introduces students to the essential role of data annotation in artificial intelligence and machine learning. Learners will gain a clear understanding of how raw data is transformed into structured, labeled datasets that enable AI systems to learn, interpret, and make accurate predictions.

Through guided instruction and practical examples, the class explores different types of annotation, including text, image, audio, and video labeling. Students will learn industry-relevant techniques, annotation standards, and quality control practices that ensure consistency and reliability in real-world AI projects.

The course emphasizes hands-on learning, allowing participants to practice annotation tasks and understand how their work directly impacts the performance of AI models. By the end of the class, students will have the foundational knowledge and practical skills needed to begin working on data annotation tasks or pursue opportunities in the AI and data industry.
Extra information
Prerequisites: No prior experience in AI or programming is required. Basic computer literacy and attention to detail are sufficient.
Ideal For: Beginners interested in AI, remote work opportunities, data-related roles, or building a tech-oriented skill set.
Materials Needed: A computer or laptop with reliable internet access. Headphones may be useful for audio annotation exercises.
Course Format: Interactive sessions combining guided instruction, real-world examples, and hands-on annotation practice.
Participation: Active engagement in exercises and practice tasks is highly encouraged to build accuracy and confidence.
Assessment: Students may complete practical annotation tasks and receive feedback to improve quality and consistency.
Skills Gained: Data labeling techniques, understanding annotation guidelines, quality control practices, and familiarity with annotation tools.
Career Relevance: This course provides a strong foundation for entry-level roles in AI data annotation, content moderation, and machine learning support.
Location
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Online from United States
About Me
I am a results-driven tutor committed to delivering measurable academic improvement through structured, high-impact lessons. I specialize in helping students move from confusion to clarity by breaking down complex concepts into precise, easy-to-understand steps.

My approach is strategic and tailored—every session is designed around the student’s specific goals, whether that is improving grades, mastering difficult topics, or preparing for high-stakes exams. I don’t rely on generic teaching methods; instead, I diagnose learning gaps quickly and apply targeted techniques that produce real progress.

Beyond subject mastery, I train students in advanced learning strategies—critical thinking, problem-solving frameworks, and efficient study systems—so they become independent, high-performing learners.

Students who work with me can expect:

Clear, structured explanations that eliminate confusion
Focused exam and assignment preparation strategies
Consistent performance tracking and improvement
A professional, disciplined learning environment

I work with motivated students who are serious about improving their results and are ready to invest in effective, high-quality guidance. My goal is not just short-term success, but long-term academic excellence.
Education
I have a solid academic foundation with a strong focus on analytical thinking, problem-solving, and effective communication. My educational background has equipped me with the ability to break down complex concepts and present them in a clear, structured, and practical way.

Throughout my studies, I consistently developed skills in:

Critical thinking and logical reasoning
Academic writing and communication
Quantitative and analytical problem-solving
Independent research and structured learning

In addition to formal education, I continuously invest in self-learning and professional development, staying updated with modern teaching methods and effective learning strategies. This allows me to deliver lessons that are not only academically sound but also practical and results-oriented.
Experience / Qualifications
Experience:

Actively engaged in hands-on projects and practical learning, demonstrating the ability to apply theoretical knowledge to real-world situations.
Collaborated with peers and instructors on academic and professional tasks, consistently meeting deadlines and producing quality work.
Participated in workshops, seminars, or internships to enhance practical skills and industry awareness (specify any relevant examples).

Qualifications:

Strong academic foundation with focus on [insert your field, e.g., engineering, business, AI, education, etc.].
Proficient in [list relevant tools, software, or methodologies, e.g., Microsoft Office, AutoCAD, Python, research methods].
Skilled in critical thinking, problem-solving, and effective communication, both written and verbal.
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
30 minutes
45 minutes
60 minutes
90 minutes
120 minutes
The class is taught in
English
Availability of a typical week
(GMT -05:00)
Chicago
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
This course is designed to help learners master the art of academic essay writing. Students will learn how to develop clear thesis statements, structure essays effectively, and integrate research and evidence to support their arguments. The class covers all key essay types—including expository, argumentative, narrative, and descriptive—and provides practical techniques for planning, drafting, and refining high-quality academic essays.

Through interactive exercises, examples, and feedback, participants will strengthen their critical thinking, organization, and writing skills. By the end of the course, learners will be confident in producing well-structured, coherent, and polished essays that meet academic standards.
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Struggling with understanding concepts, completing assignments, or preparing for exams? This class is designed to help students build confidence, improve performance, and develop effective learning strategies.

I offer personalized lessons tailored to each student’s level, goals, and learning style. Whether you need help with understanding difficult topics, improving your grades, or preparing for exams, I provide clear, step-by-step guidance to make learning simple and effective.

In our sessions, you will:

Break down complex topics into easy-to-understand concepts
Improve problem-solving and critical thinking skills
Learn proven study techniques and time management strategies
Get support with assignments and exam preparation
Build confidence and independence in learning

My teaching approach is patient, structured, and results-driven. I focus not only on helping you succeed academically but also on equipping you with skills that will benefit you long-term.

Lessons are suitable for beginners, intermediate, and advanced students, and can be adapted to meet specific academic requirements or personal goals.
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Engineer in engineering sciences option electrical engineering
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IS engineering sciences
Embedded system (microcontrollers, z80 microprocessors, Motorola, ARM), Real-time system, network concept (OSI, TCP/IP), design of systems and electronic cards (analog, digital, power supply), signal processing, communication protocols ( SPI, I2C, CAN BUS, UART...), telecommunications.

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 Renewable energies: study of the solar pumping installation and the wind turbine installation.
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biomedical.
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 Industrial IT and programmable logic controllers.
 Automatic: modeling, identification and control of systems.
 Mechatronics.
 MATLAB
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• Speed variator
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• Management of electrical energy in networks (Continuous Power Flow)
verified badge
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✓ What LLMs are (Large Language Models): in language they understand, not tech jargon
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I) What is SAP?
* Introduction to SAP (ECC)
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* SAP architecture
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* Logging in and out
* Presentation of the home screen
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Dynamics: Newton's laws, work and energy, kinetic energy theorem.

2. Electromagnetism / Electrokinetics:
Electrostatics: Electric charges and fields, electric potential, capacitance.
Magnetostatics: Magnetic fields, Lorentz forces, electromagnetic induction.
Alternating Currents: RLC circuits, resonance, impedance.

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Ideal and real gases: Equations of state, thermodynamic transformations.

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Automatic Linear, Kinematic, Static.

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verified badge
Hello,
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1. 300 + reviews and ratings
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3. More than 5 years of teaching experience
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Featured Review :
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verified badge
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Whether you are a student, researcher, consultant or professional, I put my expertise at your disposal to help you:
Prepare and organize your databases,
Perform reliable statistical analyses with R, Stata, SPSS...
Interpret your results rigorously,
Present your work in the form of clear reports, graphics and publications.
Each project is handled with rigor, pedagogy, and confidentiality. You benefit from tailored support, whether for a professional assignment, a dissertation, a thesis, or a publication.

For those who wish to train in parallel, I have also designed a complete course to learn how to explore, manipulate and analyze your data independently.
verified badge
With over seven years of experience in teaching Computer Science & Information Technology (ICT), I have developed a strong expertise in delivering high-quality education across multiple internationally recognized curricula, including Cambridge IGCSE, GCSE, A-Levels, O-Levels, and Checkpoint. My passion lies in equipping students with coding, cybersecurity, and digital literacy skills, ensuring they are well-prepared for the evolving demands of the digital world.

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✅ Cybersecurity: Ethical hacking, data protection, network security
✅ Digital Literacy: ICT applications, online safety, cloud computing
✅ Data Science & AI: Data analysis, machine learning fundamentals
✅ Web Development: HTML, CSS, JavaScript

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🔹 Cambridge IGCSE & GCSE ICT & Computer Science – Teaching core and extended syllabi, focusing on programming logic, databases, and networking.
🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development.
🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications.

Professional Impact:
📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams.
📌 Developed interactive lesson plans integrating real-world applications of technology.
📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning.
📌 Guided students in project-based learning, including app development and website design.

With a strong commitment to student-centered learning and technological innovation, I am dedicated to shaping future tech leaders and empowering learners with skills relevant to careers in technology, data science, and software development.
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This course introduces students to the fundamentals of Information and Communication Technology (ICT) and its role in modern society. Topics include computer hardware and software, digital communication tools, internet technologies, data management, cybersecurity, and emerging trends. Students will gain practical skills in using productivity software, conducting online research, and understanding the ethical and responsible use of digital resources. The course emphasizes both technical proficiency and digital literacy, preparing learners to confidently navigate and contribute to a technology-driven world.
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I offer one-to-one Robotics and Electronics tuition for kids, teenagers, GCSE, A-Level, and IB students who want to learn how robots, sensors, and microcontrollers actually work. Lessons are available online or in person around Birmingham.

What I cover:

Arduino programming and projects
Basic electronics: circuits, sensors, motors, LEDs
Introduction to robotics and automation
STEM coursework and school project support
GCSE, A-Level, and IB Design & Technology / Computing projects
Fun beginner builds: line-following robots, obstacle-avoiding cars, weather stations, smart home gadgets

How I teach:
I keep lessons hands-on and project-based, because kids learn best when they're building something they actually care about. We'll start with the basics — wiring up an LED, making a buzzer beep — and build up to fully working robots and gadgets. I'm patient with mistakes (they're part of the fun), and I explain everything in clear, simple language without dumbing it down.
This is perfect for parents whose children love technology, want to get ahead in STEM, or have a school project they need help with.

Send me a message and we can arrange a free 15-minute introductory chat to talk about your child's interests. No pressure, no commitment.
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Programming courses for beginners and intermediate learners.
Learning computer logic, the basics of coding and putting it into practice with exercises and mini-projects.
Personalized support according to the student's level.
Opportunity to move towards web or mobile development with a concrete and practical approach.
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Master Industrial Control Systems (SCADA, DCS, IIoT) and automation through tailored, hands-on coaching based on real-world industrial projects! With over 10 years of international engineering, solution architecture, and technical business development experience working with major industry vendors

I offer practical courses designed for engineering students, university undergraduates, and professionals looking to upskill.

The pathway will be in 7 days to cover all basics in OT environnement :
Day 1 - Virtual Environment Preparation for OT projects
- Install Hypervisor on your workstation (A virtual machine).
- Create a Linux VM (Fedora Server).
- Configure 2 networks on the VM: one in NAT (internet access) and one in Host-Only Network (to isolate lab traffic).
- Install basic tools for OT
Day 2: Modbus PLC Simulation (Add 2 Server and test script client to connect)
- Implement Modbus PLC simulators and architecture overview
- Create PLC simulator scripts in src/plc-simulators/
- Add validation test script for Modbus connectivity
- Update Day 2 guide with detailed implementation steps and compatibility notes
Day 3: NGINX Load Balancer Configuration (Round Robin)
- Understand NGINX Stream Module
- Configure NGINX
- Verify and Load the Module
- Troubleshooting NGINX (Activate load balancing in layer 4 protocol, Set permission)
- Step-by-Step Load Balancer Validation
- Test Load Balancing (Round-Robin)
- Test Failover (Resilience)
Day 4 - Creation of the traffic generator (SCADA Client)
- TBD
Day 5 - Traffic capture and measurement with TShark
TBD
Day 6 - Advanced analysis and overload simulation
TBD
Day 7 - Grafana
-TBD
What we can cover together based on your goals:
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As an Information Systems Security Engineer (USTHB) with solid field experience and teaching experience (secondary, higher and vocational training), I offer personalized support in general IT, networks and cybersecurity.

My goal is to tailor each session to the student's actual needs, whether it's laying solid foundations, passing exams, or developing practical skills for the professional world.

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📚 PROGRAM & PROPOSED THEMES:

1. Introduction & Basics of Computer Science (Beginner):
• Introduction to computer tools and familiarization with the Windows/Linux environment
• Introduction to algorithmic concepts and programming logic

2. Networks & Information Systems (Intermediate & Advanced):
• Issues and architecture of information systems
• Network protocols, configuration and simulation (Cisco Packet Tracer, Wireshark)
• System administration and virtualization (Windows Server, Linux RedHat/CentOS, VMware, VirtualBox)

3. Computer Awareness & Security (Intermediate & Advanced):
• Fundamental principles of cybersecurity and best practices
• Discovery and securing of Active Directory directories
• Traffic analysis and perimeter security

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💡 METHODOLOGY:

• Concrete pedagogical approach combining theoretical courses and practical work (virtual labs).
• Course materials and summary sheets provided.
• Pace adapted to the learner's objectives (regular support, preparation for exams or specific projects).
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Are you studying SMR, ASIR/ASIX, DAM, DAW, Computer Engineering or other technology training and need help with systems, networks or infrastructure?

I'm Nuria, a computer science teacher with over 10 years of teaching experience and professional experience in systems administration. Classes are online, one-on-one, and fully tailored to your syllabus, level, and goals.

We can work on content such as:

* Linux and systems administration;
* Windows and Windows Server;
* users, groups, permissions, processes and services;
* TCP/IP networks, addressing and subnetting;
* DNS, DHCP, routing, NAT and network services;
* server administration and deployment;
* virtualization and virtual machines;
* Docker, containers, and Docker Compose;
* scripting and automation with Bash or PowerShell;
* storage, backups and recovery;
* log monitoring and analysis;
* cloud computing and infrastructure concepts;
* firewalls and network security;
* Linux and server hardening;
* cybersecurity and best practices;
* Diagnosis and resolution of incidents.

The classes are primarily practical. I don't want you to memorize a list of commands or steps: we'll work towards you understanding what's happening, knowing where to look when something goes wrong, and being able to gradually arrive at a solution on your own.

We can start from scratch, prepare a subject or exam, solve a specific practice, configure an environment or set up laboratories where you can practice the content you are studying.

In addition to the classes, you will have access to our educational platform with its own documentation, notes, exercises, examples, practices and other resources to continue working between sessions.
Good-fit Instructor Guarantee
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