1st lesson free
One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Anass | PhD Researcher will be happy to arrange your first Computer Programming lesson.
Anass | PhD Researcher
One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Anass | PhD Researcher will be happy to arrange your first Computer Programming lesson.
- Rate Ksh. 2,326
- Response 4h
-
Students44
Number of students Anass | PhD Researcher has accompanied since arriving at Superprof
Number of students Anass | PhD Researcher has accompanied since arriving at Superprof
Ksh. 2,326/hr
Contact
1st lesson free
- Computer Programming
- Pyhton
- Programming Languages
- Artificial Intelligence
Practical AI, Machine Learning, GenAI, LLMs and Python with a PhD Researcher
- Computer Programming
- Pyhton
- Programming Languages
- Artificial Intelligence
Lesson location
Ambassador
One of our best tutors. Quality profile, experience in their field, verified qualifications and a great response time. Anass | PhD Researcher will be happy to arrange your first Computer Programming lesson.
About Anass | PhD Researcher
I am an artificial intelligence and cybersecurity professional, as well as a PhD researcher working at the intersection of AI and cybersecurity.
I help students, professionals and career changers learn artificial intelligence, machine learning, deep learning, generative AI, large language models and Python through clear explanations and practical projects.
My teaching philosophy is simple:
Understand → Practice → Build → Improve
Whether you are starting from zero, completing a university project, preparing for an interview or developing professional AI skills, I will guide you step by step through a structured and personalized learning path.
My teaching areas include:
• Python programming for data science and artificial intelligence
• Machine learning and model evaluation
• Deep learning and neural networks
• Generative AI and large language models
• Prompt engineering and AI applications
• Natural language processing
• Computer vision
• Data analysis and visualization
• AI project development
• AI interview and career preparation
• Academic and professional project support
I focus on making complex concepts understandable, practical and directly applicable. Instead of only explaining formulas or libraries, I help you understand why a method is used, how it works, how to implement it and how to evaluate the results.
My lessons combine academic foundations, industry tools, guided exercises and portfolio-ready projects. The objective is not only to help you write code, but also to help you think like an AI practitioner and confidently explain your work.
Lessons are available online in English or French.
Explore my AI, cybersecurity and cloud projects, educational resources and professional portfolio at arharif.github.io.
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About the lesson
- Lower Primary
- Upper Primary
- Lower Secondary
- +13
levels :
Lower Primary
Upper Primary
Lower Secondary
Senior School
Tertiary
University
Adult Education
Masters
Doctorate
MBA
Pre-Primary
Beginner
Intermediate
Advanced
Professional
Children
- French
- English
All languages in which the lesson is available :
French
English
Every lesson is adapted to your current level, objectives and preferred learning pace.
I work with complete beginners, university students, developers, professionals and career changers who want to build practical skills in artificial intelligence, machine learning, deep learning, generative AI and Python.
Depending on your objectives, your personalized learning roadmap may include:
AI and Machine-Learning Foundations
• Artificial intelligence, machine learning, deep learning and generative AI
• Supervised and unsupervised learning
• Regression, classification and clustering
• Training, validation and testing
• Overfitting, underfitting and regularization
• Accuracy, precision, recall, F1 score and ROC-AUC
• Feature engineering and data preparation
Python and Data Tools
• Python foundations for artificial intelligence
• NumPy for numerical computing
• Pandas for data preparation and analysis
• Matplotlib for visualization
• Scikit-learn for machine-learning projects
• Jupyter Notebook and Google Colab
Deep Learning
• Neural-network foundations
• Forward propagation and backpropagation
• Convolutional neural networks
• Recurrent neural networks
• TensorFlow or PyTorch
• Training, evaluation and optimization
Generative AI and Large Language Models
• Large-language-model foundations
• Prompt engineering
• Embeddings and semantic search
• Retrieval-augmented generation
• AI agents and automation fundamentals
• Building simple LLM-powered applications
• Responsible AI and model limitations
Practical Projects
Projects are selected according to your level and goals. Examples include:
• Spam or phishing-message detection
• Fraud-detection models
• Customer-churn prediction
• Image classification
• Sentiment analysis
• Recommendation systems
• Text classification
• AI-powered assistants
• Retrieval-augmented-generation applications
• Portfolio projects using real datasets
Teaching Method
Each lesson follows a practical and progressive structure:
1. Review your objectives and current level
2. Explain the concept clearly
3. Demonstrate the implementation step by step
4. Guide you through practical exercises
5. Apply the concept to a project
6. Review the results and identify improvements
The balance between theory and practice is adapted to your needs. Beginners receive more guidance and structured explanations, while intermediate and advanced learners can focus on project design, debugging, model improvement and professional use cases.
You may also receive:
• Personalized learning roadmaps
• Guided exercises and optional homework
• Project feedback and code review
• Interview questions and mock interviews
• Support with portfolio presentation
• Help explaining your projects professionally
• Progress tracking and recommendations after each session
The complimentary 30-minute introductory session is used to understand your background, assess your level and define the most suitable learning roadmap.
Whether your goal is to understand AI, complete an academic project, build a portfolio, prepare for an interview or transition into an AI-related career, the lessons will give you a clear and practical path forward.
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Review
All of our reviews are collected by us and are 100% reliable. They correspond to a real experience lived by the students of Anass | PhD Researcher.
4.9 (6 reviews)
Perfect! This was my second semester using Rharif. I was able to easily set up my appointments and he was very responsive. The dedication shined through all of my sessions!
Perfect! I had a great experience with this tutor! They were professional, punctual, and clearly took the time to review my lesson materials before we even started. During the session, they walked me through my code line-by-line, explaining the logic behind my mistakes and helping me fix them in real-time. This thorough, hands-on approach really helped me understand the "why" behind the code. Highly recommended!
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Recommendations
Recommendations come from relatives, friends and acquaintances of the teacher
4
I’m Youssef, and I had the pleasure of being taught cybersecurity by Anass. His deep understanding of the subject, combined with his ability to explain complex concepts clearly, makes him an exceptional teacher. Anass's passion for cybersecurity and his commitment to his students' learning are evident in every lesson. I highly recommend him to anyone looking to gain a solid foundation in cybersecurity.
I’m Aymen, and Anass has been like a big brother to me. His passion for teaching is evident in every interaction. His dedication, perseverance, and deep love for cybersecurity truly set him apart. I highly recommend Anass for anyone looking to deepen their knowledge in this field.
I'm Ziad, Anass has been my colleague of five years.
His dedication and perseverence and his love towards cybersecurity makes him the perfect tutor or teacher in this domain.Anass has the ability to teach non-technique students advanced topics, especially in cybersecurity. Bravo, Anass
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Rates
Rate
- Ksh. 2,326
Pack prices
- 5h: Ksh. 10,982
- 10h: Ksh. 20,672
online
- Ksh. 2,326/h
free lessons
The first free lesson with Anass | PhD Researcher will allow you to get to know each other and clearly specify your needs for your next lessons.
- 30mins
Details
The standard rate is $18 per hour.
The 5-hour package is available for $85 and is suitable for learning a focused topic, completing a small project or strengthening specific AI and Python skills.
The 10-hour package is available for $160 and is recommended for a complete learning roadmap, portfolio project, interview preparation or structured machine learning and generative-AI training.
Packages may include a personalized roadmap, practical exercises, project guidance, code review, learning resources and progress feedback.
The complimentary 30 minute introductory session is dedicated to understanding your objectives, assessing your current level and proposing a suitable learning plan.
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