Zahid - Computer programming tutor - Manchester
1st lesson belanja
Zahid - Computer programming tutor - Manchester

Zahid's profile, qualifications and contact details have been verified by our experts

Zahid

  • Rate RM163
  • Response 1h
  • Students

    Number of students accompanied by Zahid since their arrival at Superprof

    3

    Number of students accompanied by Zahid since their arrival at Superprof

Zahid - Computer programming tutor - Manchester
  • 5 (1 review)

RM163/h

1st lesson belanja

Contact

1st lesson belanja

1st lesson belanja

  • Computer programming
  • Programming languages
  • SQL
  • Artificial Intelligence

Expert-led AI and computer programming tutoring tailored to your needs. Learn online or in-person with flexible scheduling and personalised guidance. Start mastering code and AI today!

  • Computer programming
  • Programming languages
  • SQL
  • Artificial Intelligence

Lesson location

About Zahid

With over 17 years of hands-on experience spanning multiple countries—including the UAE, Qatar, New Zealand, France, Saudi Arabia, USA, Pakistan, and the UK—I bring a wealth of expertise in cutting-edge technologies to my programming and AI tutoring services. My career has involved designing, developing, and deploying solutions across industries such as finance, healthcare, and IoT, working with tools like Python, Java, TensorFlow, cloud platforms (AWS/Azure), and AI frameworks (PyTorch, NLP libraries). Having relocated to Bolton two and a half years ago, I now combine global insights with local accessibility, offering both online and in-person sessions. My international exposure has honed my ability to simplify complex concepts for diverse learners, whether they’re beginners seeking foundational coding skills or professionals aiming to master AI-driven applications. My tutoring approach emphasises adaptability and real-world relevance. Drawing from my multidisciplinary background, I tailor lessons to individual goals—career advancement, academic projects, or personal growth—using interactive coding demos, project-based learning (e.g., building chatbots or predictive models), and industry case studies. I prioritise hands-on practice, incorporating tools like GitHub, Jupyter Notebooks, and AI APIs to mirror professional workflows. As a Bolton-based tutor, I blend the flexibility of remote learning with the engagement of face-to-face sessions, ensuring students grasp both theoretical principles and practical implementation. Whether guiding a student through debugging code or exploring advanced machine learning techniques, my focus remains on fostering problem-solving skills and confidence in an ever-evolving tech landscape.

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About the lesson

  • Primary
  • Secondary
  • SPM
  • +12
  • levels :

    Primary

    Secondary

    SPM

    Form 6

    STPM

    Adult education

    Bachelor

    Masters

    Diploma

    Doctorate

    Beginner

    Intermediate

    Advanced

    Professional

    Kids

  • English

All languages in which the lesson is available :

English

To prepare effective AI and programming lessons, begin by assessing student’s skill level, goals (career, academic, or personal), and learning preferences (hands-on, visual, or theoretical) through a brief pre-assessment or conversation. Define clear, SMART objectives—like building a basic neural network in three sessions—to structure progress. Curate content into focused modules, blending foundational programming (Python, PyTorch) with AI concepts (machine learning, NLP) and real-world projects (e.g., chatbots, image classifiers). Structure each lesson with a 10% recap and goal-setting intro, 70% core (theory + live coding demos), and 20% practice (debugging, model tweaking). Use interactive tools like Google Colab for live coding, visual aids for complex topics (e.g., neural network diagrams), and AI assistants like ChatGPT for Q&A simulations. Provide resources such as cheat sheets, Kaggle datasets, and incremental homework (e.g., “Boost model accuracy by 10%”). Adapt for online sessions by testing tech tools in advance, or for in-person lessons with hardware demos (Raspberry Pi, sensors). Conclude with feedback loops—ask, “What worked? What didn’t?”—to refine pacing and content. Stay updated on AI trends (new frameworks, tools) and use platforms like GitHub Classroom for assignments. Blend theory, practice, and real-world relevance to keep lessons engaging and results-driven.

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Rates

Rate

  • RM163

Pack rates

  • 5h: RM817
  • 10h: RM1633

online

  • RM163/h

free lessons

This first lesson is free to allow you to get to know your teacher so that they can best meet your needs.

  • 1hr

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