Seasoned Professional in AI, Robotics Fundamentals with Edison: Python/ LLMs/ Safety

Àpd 27 € /h

Unleash your inner innovator in this hands-on course designed for 7–17-year-olds! Led by Navya—a seasoned curriculum developer and programming instructor—you’ll embark on a journey through Python fundamentals, Edison robot programming, and the foundational concepts that power today’s AI. No prior experience? No problem: we start with core Python coding exercises or simple robot movements, then build up to more advanced topics at every step.

Over 8 weeks, you’ll:

Learn Python fundamentals (variables, control flow, functions) through engaging, project-based exercises
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Program Edison robots to navigate mazes, follow lines, and interact with their environment
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Explore AI fundamentals and large language model (LLM) concepts: machine learning basics, neural nets, and prompt engineering
|
Understand AI safety principles and best practices to build responsible, trustworthy applications
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By the end of the course, you’ll have created autonomous robot demos, simple LLM-powered chatbots, and a solid grasp of the coding and ethical foundations that drive modern robotics and AI. Get ready to code, tinker, and shape the future!

Informations supplémentaires

should have access to laptop

Lieu

En ligne depuis Pays-Bas

Présentation

I’m Navya, a friendly and patient educator who thrives on helping students discover the excitement of coding and robotics. In my classes, I mix hands-on projects with real-world examples—whether we’re making Edison robots navigate mazes or building simple chatbots—to keep learners aged 7–17 engaged and confident. I adapt my teaching to each student’s pace, encourage questions at every step, and emphasize creative problem-solving and ethical AI practices. My goal is always to make tech fun, accessible, and empowering.

Education

University Maastricht
Languages & Tools: Python, Java, SQL, C#, Git, Docker, Pandas, NumPy
– Robotics: Edison robot programming (line-following, maze solving, sensor integration)
– AI & LLM Fundamentals: Machine learning basics, neural nets, prompt engineering
– AI Safety & Ethics: Best practices for responsible AI development
– Data Structures & Algorithms: HashMaps, lists, search strategies, performance optimization

Expérience / Qualifications

Bachelor of Computer Science

Curriculum Developer & Programming Instructor, Smart Health Science (May 2024 – Present)
– Co-designed an 8-week Java & Minecraft coding curriculum for ages 5–13
– Teach core AI concepts, Java fundamentals, and computational thinking in a classroom setting

Age

Enfants (7-12 ans)

Adolescents (13-17 ans)

Niveau du Cours

Débutant

Intermédiaire

Durée

30 minutes

45 minutes

60 minutes

Enseigné en

anglais

Compétences

Robotique

Programmation informatique

Disponibilité semaine type

(GMT -05:00)

New York

Cours par webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Gaëlle

5.0

(3)

Most kids think coding is for "smart kids" or "future programmers."
It's not. Coding is how real people solve real problems.
In this class, we skip the theory. Your child creates real things.

What they'll do:
✓ Build real projects in Scratch: a working game, an interactive animation, a story they coded
✓ Program virtual robots: solve real-world challenges (navigate a maze, automate a task, build a system)
✓ Create in Minecraft Education: design worlds, automate constructions, solve logic problems
✓ Experiment with different languages: not just learn "the right way," but understand that there are many ways to think about a problem
✓ Collaborate and share: work with other kids, get feedback, improve their work
✓ Develop logical thinking: not just for coding, but for anything: solving math problems, science challenges, real-world situations

Why this is different:
We don't teach syntax. We teach how programmers think.
Most children's coding courses say "here's the code, copy it." We teach "what problem are we trying to solve? How could we break it into steps? What options do we have?"
When your child learns to think like a programmer, they can learn any language afterward.

What they take home:
A portfolio of 3–4 completed, working projects. The ability to say "I built this." And the deep understanding that code is a tool to make real things happen.

Format: Online or Barcelona | 60–90 min sessions | Flexible pace, no prior experience needed
For curious 8-12 year olds who want to build.

5.0

(3)

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

5.0

(3)

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.

Amine

5.0

(3)

◾ Tools

RStudio • SQL • SPSS • SAS • Jamovi • JASP

◾ Statistical Methods & Tests

Student's t-test • ANOVA • MANOVA • ANCOVA • Regression (linear & logistic) • Correlation • Chi-square • Nonparametric tests • PCA • MCA • Exploratory factor analysis • Classification / Clustering • Mediation • Moderation • Interpretation

◾ Data analysis & decision support

- Data preparation, structuring and validation using SAS, R and SQL
- Descriptive, exploratory and multivariate statistical analyses on business data
- Production of performance indicators and actionable analyses to support decision-making

◾ Selection and implementation of methods

- Preparation and structuring of databases
- Hypothesis testing and univariate, bivariate and multivariate analyses (ANOVA / ANCOVA)
- Linear and logistic regressions
- Factor analyses (PCA / MCA)
- Mediation and moderation models
- Classification / clustering

1) Academic support

- Lectures, tutorials, projects and assignments in statistics
- Help in understanding and interpreting the results
- Preparation for exams and academic presentations

2) Statistical analysis

- Descriptive statistics (univariate and bivariate)
- Multivariate analyses
- Data exploration and outlier detection

3) Statistical tests

- Correlations (Pearson, Spearman, Cohen's Kappa)
- t-tests (one and two samples, independent or paired)
- Chi-square, binomial tests
- z-scores and associated indicators

4) Statistical modeling

- Linear regressions (simple and multiple)
- Logistic regression
- Interpretation of coefficients, diagnostics and validation of models

5) ANOVA & ANCOVA

- One- or multi-factor ANOVA
- Repeated measures ANOVA
- Fixed and random effects
- Post-hoc tests and effect sizes

6) Factor analyses

- ACP / PCA (scree plot, factor scores, matrices)
- Exploratory factor analysis
- Factorial rotations
- Validation and interpretation of structures and clusters

◾ Reporting & communication

- Clear, structured and concise reporting of results
- Visualizations tailored to decision-makers
- Support for strategic and operational decision-making

Youssef

5.0

(3)

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

Jean-Baptiste

5.0

(3)

Flutter is the mobile app development framework from Google, based on Dart.

You will learn:
- How to develop a mobile app from scratch on iOS and Android
- How the use Riverpod, the best state management system
- How to use Google Firebase (Authentication, Firestore, Cloud Functions, Cloud messaging, ...)
- Testing automation

I'm a software engineer with 4 years of experience coding with Flutter and more than 10 years working for IT companies.

Salah

5.0

(3)

Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

Amine

5.0

(3)

Discover programming lessons suitable for children! With a fun and educational approach, my lessons allow young minds to dive into the fascinating world of programming. Provide your children with an enriching learning opportunity in a fun and stimulating environment.

Mouad

5.0

(3)

We are a team of engineers passionate about programming. We offer Python tutoring courses suitable for all levels (beginners, advanced students, CPGE students, or anyone looking to develop their skills).

Our courses combine essential foundations, practical examples and clear teaching to ensure solid and useful progress for both studies and careers.

Thioub

5.0

(3)

Vous avez des données mais ne savez pas comment les exploiter ? Vous souhaitez prendre des décisions basées sur des faits concrets ? Ou vous êtes étudiant·e et voulez maîtriser les outils de l'analyse moderne ?
Ce cours est fait pour vous.

👨‍🏫 À propos du formateur :
Je suis Data Scientist et Ingénieur en Mathématiques Appliquées, diplômé de l’Université Cheikh Anta Diop (UCAD). Mon expertise repose sur une solide base en Mathématiques, Statistiques, Machine Learning et Visualisation de données. J’allie rigueur scientifique et outils modernes pour transformer des données brutes en décisions stratégiques.

🧠 Objectifs du cours :
Comprendre et manipuler les données (exploration, nettoyage, visualisation)

- Identifier les variables importantes et repérer les anomalies

- Appliquer les méthodes statistiques et Machine Learning pour extraire de la valeur

- Construire des tableaux de bord clairs et parlants pour la prise de décision

- Adapter les analyses aux besoins réels d’une entreprise ou d’un projet académique

🧰 Contenu détaillé :
1. Introduction à l’analyse de données

- Qu’est-ce que l’analyse de données ?

- Typologie des données (quantitatives, qualitatives)

- Méthodologie globale

2. Préparation des données

- Nettoyage (valeurs manquantes, doublons, outliers)

- Encodage des variables catégorielles

- Normalisation et transformation

3. Visualisation et exploration

- Graphiques de distribution, de corrélation, de tendance

- Tableaux croisés, heatmaps, boxplots

- Détection de patterns et d’anomalies

4. Statistique descriptive et inférentielle

- Moyenne, Médiane, Ecart-type, Corrélation

- Tests statistiques : Khi2, t de Student, ANOVA

5. Modélisation prédictive (ML supervisé)

- Régression linéaire/logistique

- Arbre de décision, Random forest, KNN, SVM

- Évaluation : accuracy, recall, precision, F1-score, AUC

6. Segmentation et classification non supervisée

- Clustering (K-means, DBSCAN, hiérarchique)

- Réduction de dimension (ACP/PCA)

7. Projets réels (au choix)

- Analyse des ventes / Churn client / Scoring de crédit / Santé publique

- Ou projet personnalisé à vos propres données

💻 Outils utilisés :

- Python (Pandas, Matplotlib, Scikit-learn, Seaborn)

- ou R (selon la préférence)

- Excel, Power BI/Tableau (pour la visualisation avancée)

Konan

5.0

(3)

💻 Computer skills: an essential 21st-century skill

Today, mastering computer skills is no longer a luxury, it is a necessity.
Not having the basics can quickly become a hindrance to school, academics or career.

👉 Contact me now to:

• acquire a solid foundation in computer science
• deepen the fundamentals of programming (for advanced levels)
• Strengthen your skills in a clear, structured and sustainable way

📘 Mathematics – Secondary Level
Are you experiencing difficulties? I will guide you step by step to raise your level, understand and progress methodically.

📍 Lessons at home or remotely (video conference)
🎯 Objective: to understand, reason, and succeed
📞 Available for customized support.

5.0

(3)

After an initial assessment, this course is designed to transform your child from a passive consumer of technology into an active, ethical AI creator.

Based on the personalized roadmap developed in the first session, the 5-week program delivers structured, project-based learning tailored to your child's cognitive strengths and interests, specifically addressing any learning barriers identified during the diagnostic phase.

What we achieve in 5 weeks:

Week 1-2: Foundations of Machine Learning & Critical Thinking: We move beyond definitions, using interactive projects to understand how AI learns (data, bias, pattern recognition). This builds critical thinking about the technology they use daily.

Week 3-4: Ethical Generative AI for Creativity: Students learn to master prompt engineering to create digital art, stories, or game concepts using generative AI tools. Safety and Ethics are paramount: we focus on responsible usage, digital citizenship, and copyright basics.

Week 5: The Final AI Creator Project: personalized mini-project (e.g., training a simple image classifier or writing a fully co-authored AI story) to demonstrate autonomy and mastery of the core concepts.

As your specialized 10+ year tech educator and coach, I ensure:

SEN Integration: Continuous adaptation of project requirements and delivery methods to ensure students with Special Educational Needs (SEN) maintain confidence and measurable progress.

Skill Transfer: We teach skills that translate directly to school projects, not just AI theory, but advanced digital literacy and structured problem-solving.

Wissem

5.0

(3)

I teach coding to beginners and intermediate students.
Lessons focus on logic, basic programming, and practical exercises.
Classes are adapted to the student’s pace.
Students can choose between website or mobile app development.Hands on dev

Laroussi

5.0

(3)

*الهدف: فهم الذكاء الاصطناعي بلا خوف، استخدامه لتبسيط الحياة، وكشف الفخاخ الرقمية**

### **1: إزالة الغموض عن الذكاء الاصطناعي (ما هو بالضبط؟)**

* **الذكاء الاصطناعي ليس "روبوت الأفلام":** الفرق الجوهري بين الخيال العلمي والواقع العملي.
* **كيف يعمل (ببساطة):** تخيل "مكتبة عملاقة"؛ لقد قرأ الذكاء الاصطناعي مليارات الكتب ويستخدمها لتوقع تكملة جملة ما أو ابتكار صورة جديدة.
* **أين نستخدمه حالياً؟** المصحح اللغوي، مقترحات نتفليكس ويوتيوب، نظام الملاحة (GPS)، والمساعدات الصوتية مثل (سيري وأليكسا).

---

### **2: استخدام الذكاء الاصطناعي لتسهيل حياتك**

* **التحاور مع الذكاء الاصطناعي (ChatGPT, Claude, Gemini):**
* كتابة رسائل البريد الإلكتروني الرسمية أو الخطابات المعقدة.
* تلخيص المقالات الطويلة أو الوثائق الضخمة.
* تخطيط مسارات السفر أو ابتكار وصفات طعام من المكونات المتوفرة في الثلاجة.

* **الإبداع والذاكرة:**
* إنشاء صور مبتكرة لبطاقات المعايدة (عبر Midjourney أو DALL-E).
* ترميم وتلوين صور العائلة القديمة.

3: فن التحدث مع الآلة (مهارة الـ Prompt)**

* **أسلوب السياق:** لماذا عبارة "أعطني وصفة كعكة" أقل فعالية من "أنا أعاني من حساسية الجلوتين وسأستقبل 4 أشخاص، أعطني وصفة كعكة شوكولاتة بسيطة".
* **تقمص الأدوار:** تعلم أن تطلب من الذكاء الاصطناعي "تحدث كخبير سياحي" أو "أجبني كمهندس زراعي مختص".

4: الاحتياطات والتفكير النقدي (دليل النجاة)**

الهلوسة الرقمية":** فهم أن الذكاء الاصطناعي قد يقدم معلومات خاطئة بثقة تامة (لا تعتمد عليه أبداً في استشارة طبية أو قانونية دون تحقق).
حماية الخصوصية
عدم مشاركة بيانات حساسة (أرقام الهوية، كلمات المرور، تفاصيل البنك).
إدراك أن كل ما تكتبه قد يُستخدم في تدريب الأنظمة مستقبلاً.

كشف التزييف العميق (Deepfakes):**
كيفية تمييز الصور أو الفيديوهات المفبركة (التدقيق في تفاصيل اليدين، الانعكاسات الغريبة، أو الصوت المعدني).
* القاعدة الذهبية: التحقق عبر مقاطعة المصادر المختلفة.

5: الأخلاقيات والأثر (رؤية مستقبلية)**

حقوق الملكية:** لمن تعود ملكية الصورة التي أنشأها الذكاء الاصطناعي؟
الأثر البيئي:** استهلاك المياه والطاقة في مراكز البيانات الضخمة.
المستقبل:** هل سيحل الذكاء الاصطناعي محلنا أم سيكون مساعداً لنا؟

نصيحة إضافية:** بما أنك تستهدف منطقة الخليج، يفضل استخدام مصطلحات مثل "التحول الرقمي" (Digital Transformation) و"الابتكار" (Innovation) في مقدمة عرضك، فهي كلمات رنانة جداً لدى صناع القرار هناك.

Fayza

5.0

(3)

This class is designed for beginners who want to start learning robotics in a simple and practical way.

Students will learn the basics of electronics, Arduino programming, sensors, motors, and how to build small real-world projects step by step. No advanced background is required.

The course focuses on hands-on learning: connecting components, writing Arduino code, understanding how robots work, and creating mini projects such as smart fans, automatic lights, and simple robots.

By the end of the class, students will understand how hardware and software work together and will be able to build their own basic robotic systems.

This class is suitable for students, hobbyists, and anyone interested in robotics and technology.