Gokhan - Artificial intelligence tutor - London
Gokhan - Artificial intelligence tutor - London

One of our best tutors. Quality profile, experienced in their field, verified qualifications and a great response time. Gokhan will be happy to arrange your first Artificial Intelligence lesson.

Gokhan

One of our best tutors. Quality profile, experienced in their field, verified qualifications and a great response time. Gokhan will be happy to arrange your first Artificial Intelligence lesson.

  • Rate RM356
  • Response 1h
  • Students

    Number of students accompanied by Gokhan since their arrival at Superprof

    50+

    Number of students accompanied by Gokhan since their arrival at Superprof

Gokhan - Artificial intelligence tutor - London
  • 4.9 (26 reviews)

RM356/h

Contact
  • Artificial Intelligence

Artificial Intelligence taught by a Principal AI Architect (PhD): university AI modules, Generative AI, RAG and agents, responsible AI, Azure AI-900 prep

  • Artificial Intelligence

Lesson location

Ambassador

One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Gokhan will be happy to arrange your first Artificial Intelligence lesson.

About Gokhan

I'm Dr Gokhan Guler, a Principal Data & AI Architect. I design GenAI and agentic-AI systems for large organisations — chatbots, retrieval-augmented assistants and multi-agent architectures on Azure OpenAI, AWS and Google Cloud — and I'm a machine-learning researcher at the University of Reading, working on meta-learning and foundation-model efficiency. I hold a PhD in engineering and computer science and am certified across AWS, GCP and Azure.

I've taught for more than twenty years at undergraduate and postgraduate level and delivered over 2,000 hours of one-to-one AI and ML tutoring since 2017. My students have come from Oxford, Imperial College London, UCL, Manchester, Bristol, Queen Mary, Westminster and Maastricht, among others, and along the way I've produced over 300 tutorials on AI and cloud tools.

I teach AI the way I build it: understand the idea, implement it, evaluate it, then ask whether it should be deployed at all. Expect plain language, live code and real examples from production systems — whether you're revising Bayesian networks for an exam, building your first RAG assistant, or deciding how your organisation should adopt generative AI.

Away from work you'll find me with my family, who are my biggest supporters in all of this.

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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

I teach Artificial Intelligence to university students on AI, computational intelligence and computer science modules (undergraduate to PhD), and to professionals and managers who need to build or govern AI systems — from GenAI fundamentals to production chatbots and agents.

WHAT WE WORK ON

- AI fundamentals — search and optimisation (A*, constraint satisfaction, linear programming, genetic algorithms and other meta-heuristics), knowledge representation and reasoning, probabilistic reasoning with Bayesian networks and hidden Markov models, planning, intelligent agents and reinforcement learning.

- Neural networks and deep learning — perceptrons and backpropagation through CNNs, RNNs and transformers, in TensorFlow and PyTorch; natural language processing, computer vision and speech.

- Generative AI and LLM systems — prompt engineering, GPT/Gemini/Claude APIs, open-weight and small language models, fine-tuning, retrieval-augmented generation, AI agents and MCP, evaluation and cost control; deployment on Azure OpenAI, AWS Bedrock and Google Cloud Vertex AI.

- Responsible AI and governance — bias and fairness, explainability, privacy, the EU AI Act and governance frameworks, and the ethics analysis that AI modules now assess.

- A structured GenAI pathway for professionals, aligned to the vendors' own curricula — Level 0: GenAI fundamentals and responsible use (about 2 hours) · Level 1: cloud GenAI fundamentals on Google Cloud, AWS or Azure (2–3 hours each) and Microsoft AI-900 Azure AI Fundamentals exam preparation (about 6 hours) · Level 2: GenAI for practitioners — design and build your own chatbot or RAG assistant.

- Coursework, dissertations and projects — scoping, implementation, evaluation and write-up. You build it; I supervise and challenge it.

Modules I've supported recently include Machine Learning, Computational Intelligence, Advanced Computer Science, Security Engineering and AI at UK and European universities.

RECENT STUDENT WORK
A flight-booking chatbot in Python (NLTK, scikit-learn) · autonomous mobile robots with ROS · a neural network forecasting stock returns for an MSc Finance Analytics project · exam preparation for a proof-based supervised-learning paper (k-NN, decision trees, online learning, Gaussian processes) · a "Robo Uber" tool with hyperparameter tuning and multi-layer perceptrons.

HOW SESSIONS RUN
Online, with screen-sharing and live coding in Jupyter or Colab — or in the cloud console when we're deploying. You keep the notebook and notes after every session. The first (free) session is a diagnostic: we map your module, project or goal against your deadlines and agree a plan. I reply within a few hours.

I help you understand and build your own work — the code and the writing are yours; I supervise, explain and challenge.

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Rates

Rate

  • RM356

Pack rates

  • 5h: RM1778
  • 10h: RM3556

online

  • RM356/h

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