Rahmouni - Computer programming tutor - Los Angeles
1st lesson free
Rahmouni - Computer programming tutor - Los Angeles

Rahmouni's profile and contact details have been verified by our team

Rahmouni

  • Rate R501
  • Response 24h
  • Students

    Number of students Rahmouni has accompanied since joining Superprof

    44

    Number of students Rahmouni has accompanied since joining Superprof

Rahmouni - Computer programming tutor - Los Angeles
  • 5 (4 reviews)

R501/h

1st lesson free

Contact

1st lesson free

1st lesson free

  • Computer Programming
  • Python
  • JavaScript
  • SQL
  • Artificial Intelligence

Python Programming: Machine Learning, AI & Data Science for All Levels -Build Real AI Applications

  • Computer Programming
  • Python
  • JavaScript
  • SQL
  • Artificial Intelligence

Lesson location

Super Tutor

Rahmouni is one of our best Computer Programming tutors. High-quality profile, qualifications verified, organised and responsive to lesson requests, and appreciated by their students.

About Rahmouni

Professional software engineer with 3+ years building production applications for international clients. I've taught 50+ students with 100% success rate and delivered 12+ projects on-time.

What I teach:
- Modern Web Development: React, Next.js, Node.js, NestJS, TypeScript
- Python programming: Machine Learning & AI,
- Database Design: PostgreSQL, MongoDB, Redis
- Cloud & DevOps: AWS deployment, Docker, CI/CD
- AI Integration: ChatGPT API, prompt engineering, AI-powered features
- Interview Preparation: Data structures, algorithms, system design

results from my students:
✓ Landed first developer jobs
✓ Built complete full-stack applications
✓ Passed technical interviews
✓ Successfully launched production websites

My approach:
- No boring theory lectures - we build real projects together
- Debug your actual code and fix real problems
- Teach what employers actually want (not just textbook knowledge)
- Industry best practices and modern tools
- Personalized to your pace and learning style

Whether you're a bootcamp student, career switcher, or developer adding new skills, I'll help you reach your goals faster.

Background:
- Bachelor's in Computer Science & Multimedia
- 3+ years professional development experience
- Taught 30+ students at programming academy
- Delivered 12+ production applications for international clients
- Specialized in React, Node.js, AWS, and modern DevOps

Let's build something great together!

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About the lesson

  • Primary
  • Secondary
  • Matric/GCSE
  • +12
  • levels :

    Primary

    Secondary

    Matric/GCSE

    AS Level

    A Level

    BTech

    Adult education

    Masters

    Doctorate

    MBA

    Beginner

    Intermediate

    Advanced

    Professional

    Kids

  • English

Languages in which the lesson is available :

English

Python, Machine Learning, AI, TensorFlow, Scikit-learn, NumPy, Pandas, Matplotlib, ChatGPT API

Master Python programming and dive into the exciting world of Machine Learning and Artificial Intelligence!

Whether you're a complete beginner or want to specialize in ML/AI, this comprehensive course will take you from Python basics to building intelligent applications.

What You'll Learn:

PYTHON FUNDAMENTALS:
✓ Variables, data types, and operators
✓ Control flow (if/else, loops)
✓ Functions and modules
✓ Object-oriented programming (classes, inheritance)
✓ Error handling and debugging
✓ File operations and data processing

DATA SCIENCE FOUNDATIONS:
✓ NumPy for numerical computing
✓ Pandas for data manipulation
✓ Matplotlib & Seaborn for visualization
✓ Data cleaning and preprocessing
✓ Exploratory data analysis (EDA)
✓ Working with CSV, Excel, JSON files

MACHINE LEARNING:
✓ Supervised Learning (Classification, Regression)
✓ Unsupervised Learning (Clustering, Dimensionality Reduction)
✓ Scikit-learn library and workflows
✓ Model training and evaluation
✓ Feature engineering
✓ Cross-validation and hyperparameter tuning
✓ Decision Trees, Random Forests, SVM
✓ Linear/Logistic Regression

DEEP LEARNING & NEURAL NETWORKS:
✓ Introduction to TensorFlow/Keras
✓ Building neural networks
✓ Image classification models
✓ Transfer learning basics
✓ Model deployment fundamentals

AI INTEGRATION & PRACTICAL APPLICATIONS:
✓ ChatGPT API integration
✓ Building AI-powered applications
✓ Prompt engineering for better results
✓ Natural Language Processing basics
✓ AI chatbots and assistants
✓ Computer vision applications
✓ Sentiment analysis
✓ Recommendation systems

PRACTICAL TOOLS & DEPLOYMENT:
✓ Jupyter Notebooks
✓ Google Colab for GPU computing
✓ Git version control
✓ Virtual environments
✓ Model deployment to production
✓ API development for ML models

Perfect for:
→ Complete beginners interested in AI/ML
→ Students working on ML projects
→ Developers adding AI to their applications
→ Data analysts transitioning to ML
→ Anyone wanting to understand AI/ML practically
→ Professionals upskilling for AI jobs

What Makes This Different:
- Build real AI applications, not just theory
- Understand ML concepts with intuition, not just math
- Practical focus on tools companies use
- Learn to integrate AI into web/mobile apps
- Portfolio projects that impress employers
- Interview preparation for ML roles

Real Projects You'll Build:
- Image classification app (recognize objects in photos)
- Sentiment analysis for product reviews
- Price prediction model (houses, stocks)
- Recommendation system (movies, products)
- AI chatbot with ChatGPT API
- Customer segmentation analysis
- Spam detection system
- AI-powered web application

Career Paths After This Course:
✓ Machine Learning Engineer
✓ AI Developer
✓ Data Scientist
✓ Python Developer (AI focus)
✓ ML Operations Engineer
✓ AI Integration Specialist

Teaching Approach:
- Start with intuition, then dive into code
- Hands-on coding every session
- Work with real datasets
- Understand concepts deeply, not memorization
- Build portfolio-worthy projects
- Focus on practical applications

What You'll Gain:
Solid Python programming skills
Understanding of ML algorithms and when to use them
Ability to build and train ML models
Experience with TensorFlow, Scikit-learn
Skills to integrate AI into applications
4-6 portfolio projects with ML/AI
Confidence to apply for ML/AI roles

Prerequisites:
- No programming experience needed (we start from scratch)
- Basic math understanding helpful but not required
- Enthusiasm to learn AI and solve problems!

See more

Rates

Rate

  • R501

Package rates

  • 5h: R2503
  • 10h: R5006

online

  • R484/h

free lesson

The free first lesson with Rahmouni allows you to get to know the tutor and discuss your needs and expectations.

  • 30min

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