Ableton & MaxMSP Lessons - in a͓̽m͓̽s͓̽t͓̽e͓̽r͓̽d͓̽a͓̽m͓̽

From 94 C$ /h

Ableton Live is a software music sequencer and digital audio workstation. In contrast to many other software sequencers, Live is designed to be an instrument for live performances as well as a tool for composing, recording, arranging, mixing, and mastering.

Max, also known as Max/MSP/Jitter, is a visual programming language for music and multimedia. Over its more than thirty-year history, it has been used by composers, performers, software designers, researchers, and artists to create recordings, performances, and installations.

Depending on your interest I will show you how to use and customise each program to your needs, but also show you how to combine the two in order to get the best of the 2 worlds.

Ableton and MaxMSP are a killer combo for anyone that wants to:

- expand their musical instrument with electronic extensions
- create custom made controllers for their live performances
- create complex automations for live or studio use
- produce music, compose, arrange
- create automated VJ sets to accompany their live performance
- create a live looping performance
- control backing tracks for live performances
- work on generative music
- program art installations
and much more

I will give you sets & patches with examples to accompany the lessons, but also help you build your own creations in MaxMSP or Ableton.

Extra information

Better bring your computer :)

Location

Online from Netherlands

About Me

Hi fellow rhythm lover!

My name is Alex, originally from Croatia.
I'm a drummer, percussionist, composer and programmer.

I'm currently focusing on performing solo enhancing drums and percussion with electronic creations. But I'm also working as a live and studio drummer in the fields of electronic, hip-hop, jazz, pop music & more. Active as a teacher, available for workshops, Skype lessons and private lessons in Amsterdam.

I started my musical journey playing the piano (7 years old) at a local music school but was always fascinated by rhythm. Got into playing drums when I was 16, then I realised that's gonna stay for life. I developed a deep interest in jazz music and Karnatic (South Indian) music so I decided to move to a specific place in Italy (Vicenza) where was possible to study drums and take tabla & indian music lessons. After diving deeper into jazz and playing with artists from all over the world mostly improvised music, I decided to explore a new field of interest - electronic music. Again, I found a place in Europe that offered the best education in the field of electronic (specifically live-electronics) music and that offered me the opportunity to continue my Indian studies while still playing the drums. Here in Amsterdam I had to privilege to study with some wonderful people and to connect with so many cutting-edge artists. Definitely staying here indefinitely! :)

Education

Conservatorium Van Amsterdam - Master in Live Electronics.
Conservatorio Di Vicenza - Bachelor in Jazz Drums.
Specialised in Karnatic rhythms: "Applying Karnatic Rhythmical Techniques to Western Music"- Conservatorium Van Amsterdam

Experience / Qualifications

Collaborating with the Studio for Electro-Instrumental Music - STEIM Amsterdam & Conservatorium van Amsterdam.
Performed at: Jools Holland show BBC TV, North Sea Jazz Festival Rotterdam, Nice Jazz Festival, London Jazz Festival, Quotidien French TV show, Jazzdock Prague, TSF Jazz Festival Paris, Unterfahrt Munchen, Duc des Lombard Paris, Rich Mix London, Norfolk and Norwich Festival, Paradiso Amsterdam, Seven Days of Creation Festival Pazin, Street Art Festival Poreč, Jazz a Sete festival, New Morning festival Paris, Jazz in Lapidarijum Poreč, Gaudeamus Festival Utrecht...

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

60 minutes

The class is taught in

English

Croatian

Italian

Skills

Sound (music)

Computer programming

Ableton live

Reviews

Availability of a typical week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Youssef

4.85

(13)

Engineer and senior professor of engineering sciences provides support courses in analog and digital electronics at all levels, engineering schools. having a scientific and technical knowledge, five years of experience in the field of teaching, teaching and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they have difficulties. for more info please contact me

Matías

4.85

(13)

Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning.

This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied.

As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others.

I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly.

Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

Amin

4.85

(13)

Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance.
Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one.
What we can cover depending on your goals:

Python fundamentals: variables, loops, functions, data structures
- Object-oriented programming (OOP)
- Data manipulation with pandas and NumPy
- Introduction to machine learning with scikit-learn
- Database management with SQL
- C and Java upon request
- MATLAB and R available for engineering/science students

Why learn with me?
I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now.
Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

Adam

4.85

(13)

doctoral student in engineering sciences provides support courses in analog and digital electronics at any DEUG level and engineering schools. having scientific and technical knowledge, three years of experience in the field of teaching, pedagogy and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they are having difficulty. for more info please contact me

Gaëlle

4.85

(13)

While adults are still debating whether kids should use AI, they are already using it.
The question isn't "should they?" it's "how do we do it intelligently?"

In this course, your child will discover:
✓ What AI actually is: not magic, not mystery. How machines think, what they can do, what they can't
✓ How ChatGPT really works: not just "ask a question and get an answer," but why it responds that way, where it fails, when to trust it
✓ What LLMs are (Large Language Models): in language they understand, not tech jargon
✓ Create with AI: custom avatars, interactive stories, real projects using real tools
✓ Think critically about AI: Bias, privacy, creativity. What does AI do better than humans? What can't it do?
✓ Real-world applications: How AI transforms medicine, education, art, gaming, everyday life

Why this is different:
Most AI courses for kids teach "here's the tool, use it." I teach how to think about AI.
Your child will learn to see AI not as black magic or a solution to everything, but as a powerful tool with real limits.
And, more importantly: that they can control how they use it.

What they take home:
Real projects they created (custom avatar, interactive app, analysis of a real AI case study). A genuine understanding of how it works. And the ability to use AI responsibly and creatively.

Format: Online | 60–90 min sessions | Flexible, adapted to their age and pace

For curious kids asking "How does ChatGPT actually know things?"

Roger

4.85

(13)

Are you looking for personalized academic support to succeed in mathematics, physics or computer science? Do you want to understand your courses in depth, fill in your gaps or simply boost your performance? You've come to the right place!

💡 Why Choose this Program?
This program offers much more than traditional courses. You will benefit from tailor-made support for:

🔍 Understand theoretical concepts in depth.
🧠 Develop thinking and problem-solving methods.
📈 Progress at your own pace with exercises adapted to your level.
🎯 Prepare effectively for your exams (Brevet, Bac, competitive exams) by covering typical topics and revising key concepts.
💻 Acquire computer skills useful for studies, work or your personal projects.
👨‍🏫 Personalized and Pedagogical Teaching
Interactive online courses: Thanks to audio and screen sharing, enjoy comfortable learning from home, with complete peace of mind.
Clear and effective teaching: The explanations are adapted to your level to facilitate understanding.
Regular and motivating monitoring: Each progress is closely monitored to encourage and guide you throughout your journey.
Positive and caring method: Learn without stress and gain confidence thanks to caring support.
📘 Mathematics – Understand, Apply, Succeed
Mathematics can sometimes seem complicated, but with the right explanations, it becomes logical and accessible.
This module covers:

Middle School Level: Arithmetic, fractions, basic geometry, statistics.
High school level: Algebra, functions, equations, analytical geometry, probabilities.
Preparation for exams: Brevet, Bac, entrance exams for grandes écoles.
Advanced Mathematics: Differential and integral calculus, matrices, sequences and series for university level.
Practical and Corrected Exercises: To apply theoretical concepts and train effectively.
🔬 Physics – Learn by Understanding the World
Physics helps us understand the world around us, from gravity to electromagnetic phenomena.
This module covers:

Middle and high school level: Mechanics, electricity, optics, thermodynamics.
University Level: Analytical mechanics, advanced electromagnetism, quantum physics, statistical thermodynamics.
Scientific Methodology: Knowing how to analyze a problem, apply physical laws and interpret the results.
Practical Applications: Interactive simulations and corrected exercises to visualize and apply theoretical concepts.
💻 Computer Science – Learn to Code and Innovate
Mastering IT means developing essential skills in a constantly evolving digital world.
This module adapts to your level:

Introduction to Computers: Understand how a computer works, master office software.
Programming Beginner: Learn to code in Python, JavaScript or C/C++ with clear explanations and practical exercises.
Advanced Programming: Complex algorithms, advanced data structures, object-oriented programming.
Project Development: Creation of web applications, automated scripts, simple video games.
Preparation for NSI Exams: Complete support to pass the Digital and Computer Science tests.
🎯 Interactive and Motivating Teaching
Dynamic Online Course: Learn from home with an interactive format using audio and screen sharing.
Method Adapted to Your Pace: Each course is designed according to your level and your objectives.
Practical Exercises and Concrete Projects: To apply theoretical concepts and learn while having fun.
Personalized Monitoring: Regular support to monitor your progress and adapt the program to your needs.
Encouragement and Motivation: A positive approach to building your confidence in your abilities.
🔔 For Who?
This program is aimed at:

Middle school and high school students wishing to strengthen their foundations or aim for excellence.
University students in science or computer science looking to deepen their knowledge.
Candidates for exams and competitions preparing for the Brevet, the Bac, or entrance exams to the grandes écoles.
Passionate self-taught people who want to learn to program or better understand the scientific world.
Adults in professional retraining wishing to acquire IT skills.
🚀 Ready to Succeed?
Join the "🎯 Tailor-made Success – 📘 Private Lessons in Maths, 🔬 Physics & 💻 Computer Science!" and benefit from personalized support to achieve your goals. Whether you want to improve your grades, pass your exams or develop programming skills, this program will give you knowledge, confidence and motivation.

Register today and take the first step towards success!

Shubha

4.85

(13)

Hii,
I’m a professional vocal coach specializing in Western Music Voice, Pop, Jazz Singing with Classical Voice Techniques and Voice Therapy which will improves Vocal cords and singing voice. Have a strong background in vocal training, I bring professional expertise and a love for Western music to each of my lessons. I focus on building a strong foundation in the essential techniques of Western music, helping students develop breath control, pitch accuracy, and voice modulation—all essential elements that also enhance Western Music Voice, Pop, Jazz Singing.

In my classes, students can expect a mix of traditional and modern teaching methods. I incorporate voice exercises, rhythmic drills, and taal practice to strengthen your musical skills, whether you're just starting or looking to refine your style. I also enjoy making the lessons interactive and fun, using familiar Western Music, Pop and Jazz songs to illustrate classical techniques, so students can relate the skills they’re learning to their favorite music. Each lesson is tailored to fit the student’s unique goals, whether you aim to perform, deepen your musical knowledge, or simply enjoy singing with confidence.

My approach is relaxed and encouraging, creating a supportive environment where students feel comfortable with their vocal journey.

I’m here to help you find your voice—let’s make some music together!

Hayat

4.85

(13)

This course is designed for anyone interested in learning data science using Python. It provides a hands-on introduction to fundamental data analysis tools such as NumPy, pandas, matplotlib, and seaborn. You'll learn how to manipulate datasets, create visualizations, and lay the foundations for statistical analysis and machine learning.

The course combines theory and practical exercises for effective, practical progress. No prior programming experience is necessary: we'll start with the basics to build solid, usable skills quickly.

Mariem

4.85

(13)

Understanding algorithms is essential for anyone pursuing computer science or programming. In this course, I provide a structured approach to learning algorithms—from fundamental concepts like sorting and searching to advanced techniques such as dynamic programming and graph theory. Whether you're preparing for exams, coding interviews, or aiming to improve your problem-solving skills, this course is designed to build strong algorithmic thinking. Through practical examples and step-by-step explanations, I help students master the logic and techniques needed to write efficient and elegant code.

Farouk

4.85

(13)

These courses are part of a structured and progressive training in Object-Oriented Programming (OOP) with JavaScript, designed for beginner or intermediate developers who want to understand in depth how the language works, write clearer, more maintainable code and prepare themselves calmly for modern frameworks like React ⚛️.

Object-Oriented Programming is often perceived as complex or abstract.

My goal is simple: to make it logical, concrete, and immediately applicable.

🎯 Training Objectives

Upon completion of this training, you will be able to:

Understanding what Object-Oriented Programming really is (and when to use it)
Create and manipulate objects in JavaScript in a clean and efficient way
Use ES6 classes, constructors, and methods with confidence
Mastering this, the prototype, and the instantiation logic
Apply encapsulation, inheritance, and polymorphism without confusion
Avoiding common mistakes made by OOP beginners
Structure your JavaScript code like a professional developer

📖 Training Plan – Object-Oriented Programming in JavaScript
1. Introduction to Object-Oriented Programming 🧠
Understanding the concept, objectives and benefits of OOP.
2. Procedural Programming vs. OOP
Why unstructured code quickly becomes unmanageable.
3. Objects in JavaScript
Properties, methods and representation of the real world.
4. The keyword this
Understanding the execution context (often poorly understood).
5. Limitations of simple objects
Why duplicating code is a bad idea.
6. Constructive functions
Create multiple objects from the same model.
7. The keyword new
What it's actually doing under the hood.
8. The prototype
Sharing methods and memory optimization.
9. ES6 Classes
Modern syntax and best practices.
10. The builder
Proper initialization of objects.
11. Data Encapsulation
Protect the internal state of objects.
12. Inheritance between classes
Reusing code intelligently.
13. The keyword super
Communication between parent and child in the classroom.
14. Polymorphism
The same behavior, several forms.
15. Composition vs. Inheritance
Choosing the right architecture.
16. Best practices in OOP
Write readable, scalable, and maintainable code.
17. Common mistakes made by beginners
Pitfalls to absolutely avoid.
18. Guided practical exercise
Creation of a concrete class (product, user, etc.).
19. Assessment Quiz (Multiple Choice Questions)
To validate the actual understanding of the concepts.

🛠️ Teaching method: Understand before writing

This training program is based on a progressive and pragmatic approach:
Clear and illustrated explanations
Concrete examples from real projects
Simple but effective exercises
Constant questioning to avoid rote learning
Adaptation to the learner's level and pace
Here, we don't "recite OOP" — we understand it.

🚀 Learner's result

At the end of the training, you will not only know how to write a JavaScript class.
You will know:

1- Why does it exist?
2- When to use it
3- and when not to use it

You will leave with:
a solid understanding of OOP
a cleaner and more professional code
an ideal foundation for learning React, Node.js or any other modern framework

Ammar

4.85

(13)

A- TOPICS YOU CAN EXPLORE AND MASTER:
1- PYTHON FOUNDATIONS
• Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming
• Lists, tuples, dictionaries, sets, comprehensions, debugging, and writing clear, reusable, well-structured code
• Jupyter Notebook, Anaconda, Visual Studio Code, virtual environments, and package management

2 — PROGRAMMING, ALGORITHMS, AND COMPUTER SCIENCE FOUNDATIONS
• Algorithmic thinking, problem decomposition, pseudocode, flowcharts, procedural programming, object-oriented programming, recursion, and modular program design
• Fundamental data structures including arrays, lists, stacks, queues, dictionaries/hash tables, sets, trees, graphs, and their appropriate use
• Searching, sorting, traversal, algorithm efficiency, computational complexity, Big-O notation, debugging, testing, code organization, and problem-solving strategies
• Practical programming exercises ranging from beginner problems to university-level algorithmic and computational challenges

3- DATA PREPARATION AND EXPLORATION
• NumPy and pandas for importing, cleaning, transforming, filtering, grouping, reshaping, and merging data
• Missing values, duplicates, outliers, inconsistent formats, data leakage, and data-quality validation
• Exploratory data analysis using descriptive statistics, Matplotlib, Seaborn, and graphical interpretation

4- MATHEMATICAL FOUNDATIONS
• Linear algebra, vectors, matrices, derivatives, optimization, probability, and statistics
• Loss functions, gradients, distance measures, regularization, likelihood, and model complexity
• Mathematical concepts are explained according to the learner’s level and the requirements of the selected algorithms

5- SUPERVISED MACHINE LEARNING
• Linear and polynomial regression, logistic regression, and regularized models
• k-nearest neighbours, decision trees, random forests, gradient boosting, support vector machines, and Naive Bayes classifiers
• Classification, regression, model assumptions, decision boundaries, feature importance, and interpretation of results

6- UNSUPERVISED LEARNING
• Clustering using k-means, hierarchical clustering, and density-based methods
• Principal component analysis, dimensionality reduction, anomaly detection, and pattern or structure discovery
• Method selection, evaluation of data structure, and interpretation of results without predefined labels

7- MODEL EVALUATION AND IMPROVEMENT
• Training, validation, and test sets; cross-validation; hyperparameter optimization
• Accuracy, precision, recall, specificity, F1 score, ROC–AUC, confusion matrices, MAE, MSE, RMSE, and R2
• Underfitting, overfitting, bias–variance trade-off, class imbalance, feature engineering, feature selection, scaling, and regularization

8- DEEP LEARNING
• Neural-network foundations, activation functions, forward propagation, backpropagation, and gradient descent
• Multilayer perceptrons, convolutional neural networks, recurrent neural networks, and Transformer foundations
• TensorFlow, Keras, or PyTorch depending on the learner’s project and working environment

9- ARTIFICIAL INTELLIGENCE APPLICATIONS
• Natural language processing, text classification, embeddings, sentiment analysis, and foundations of language models
• Computer vision, image classification, fundamental principles of object detection, and image preprocessing
• Recommendation systems, forecasting, anomaly detection, intelligent automation, and decision-support applications

10- GENERATIVE AI AND LARGE LANGUAGE MODELS
• Transformer architecture, tokens, embeddings, attention mechanisms, prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation
• Use of artificial-intelligence APIs, vector databases, document-retrieval systems, and structured AI-enabled workflows when relevant
• Reliability, hallucinations, bias, privacy, responsible use, and appropriate human validation

11- TOOLS AND LIBRARIES
• Python, NumPy, pandas, Matplotlib, Seaborn, scikit-learn, SciPy, Statsmodels, TensorFlow, Keras, and PyTorch
• Jupyter Notebook, Anaconda, Visual Studio Code, Git, GitHub, SQL, Excel, and Power BI when useful to the project
• Additional libraries may be introduced depending on the selected specialization and dataset

12- PROJECTS, RESEARCH, AND INTERVIEW PREPARATION
• Complete projects covering data preparation, model development, evaluation, interpretation, and presentation of results
• University assignments, dissertations, theses, research projects, portfolio projects, technical interviews, and professional applications
• Code review, debugging, documentation, reproducibility, model comparison, and communication of results

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B- PERSONALIZED TUTORING: LEARNING HOW TO REASON
Machine learning and artificial intelligence become much more accessible when mathematics, algorithms, Python code, data, and real-world applications are clearly connected.

My lessons help you move beyond simply copying code or using models as “black boxes.” You will learn how to define the problem correctly, prepare the data, select an appropriate algorithm, understand how it works, train and evaluate the model, diagnose errors, improve performance, and interpret results rigorously and responsibly.

Each lesson is personalized according to your current level, mathematical background, programming experience, dataset, university work, research project, interview preparation, or professional objective. We begin by identifying your existing knowledge, software environment, expected outcomes, and main conceptual or technical difficulties. We then establish a structured learning plan.

The first lesson combines a discussion of your background, objectives, and tutoring needs; an initial assessment of your current knowledge; personalized planning and organization of future sessions; and a short trial lesson to determine the most effective learning approach.

A typical session may include conceptual explanation, development of mathematical intuition, live coding, guided implementation, model evaluation, technical problem solving, and a concise summary of the next steps.

You may work with your own dataset, university assignment, research project, or professional problem, provided that confidential information is handled appropriately. I can also provide structured examples and datasets suited to your level.

My goal is not simply to help you run an algorithm. It is to help you understand why it is appropriate, how it learns from data, how to evaluate it correctly, why it may fail, and how to build a reliable, interpretable, and scientifically rigorous solution.

Baia

4.85

(13)

I'm a working MEP engineer, currently building Python automation for Revit workflows daily - plan checks, model coordination, and repetitive drafting tasks. I teach other engineers, architects, and BIM professionals how to do the same, using pyRevit and real project workflows, not toy examples.

Topics include:
pyRevit fundamentals and setup
Automating repetitive Revit tasks (model checks, plan generation, data extraction)
Writing custom scripts for your firm's specific workflows
Applying Python automation to real MEP/BIM projects

Anželika

4.85

(13)

I offer individual music theory and piano lessons tailored to your level, goals, and musical interests. Whether you are a complete beginner, a music student preparing for exams, or simply want to understand music better, we can build the lessons around what you need.
Music theory lessons can include notation, harmony, rhythm, ear training, analysis, sight-reading, and general musicianship. Piano lessons can focus on technique, repertoire, sight-reading, and developing a stronger understanding of the music you play.
I hold a Bachelor’s degree in Musicology and have professional experience teaching music theory. I am currently studying Sonology at the Royal Conservatoire in The Hague, with a focus on sound, electronic and contemporary music.

José

4.85

(13)

Would you like to play your favorite artists' songs on the guitar? 🎸🎶

In these classes, you'll learn in a practical, dynamic way, perfectly tailored to your musical tastes. You choose the songs, artists, or styles you love, and we'll work together so you can learn to play and accompany them on the guitar.

You'll learn chords, chord changes, rhythms, strumming patterns, and different accompaniment techniques, always applied to real songs. The goal isn't simply to memorize songs, but to gradually understand how they work so you can learn new songs on your own.

The classes are adapted to all levels. If you're starting from scratch, we'll go step by step so you can begin playing your first songs from the beginning. If you already have some guitar experience, we'll work on improving your rhythm, technique, and accompaniment skills.

We can work on pop, rock, rumba, flamenco, singer-songwriter songs, and many other styles. From artists like Estopa, Melendi, Pablo Alborán, Manuel Carrasco, or Fito y Fitipaldis, to any group or singer that's part of your favorite music.

If you also like to sing, we can also work on how to accompany you on the guitar.

🎵 You choose the music.
🎸 I'll help you learn to play it.
📈 And little by little you will acquire the tools to learn many more songs on your own.

Tell me what song or artist you'd like to play and we'll get started!

منال

4.85

(13)

📊Microsoft Office: To establish your office skills, manage data via Excel, write professional reports with Word, and prepare impressive presentations with PowerPoint.

📐 AutoCAD: To learn engineering drawing and design two-dimensional and three-dimensional plans with high accuracy and speed.

🛣️ Civil 3D: To learn road design, network design, surveying, and quantity surveying in a scientific and practical way