Think Like a Software Engineer: Java & Kotlin & Best Practices

Àpd 35.64 $ /h

Learn Java and Kotlin from a practical, real-world perspective. This class focuses not only on programming languages, but also on essential software engineering skills such as clean code, testing, and working with databases.

Ideal for students and professionals who want to improve their coding abilities, build projects, and gain confidence in solving real problems.

Lieu

En ligne depuis Espagne

Présentation

Hi! I’m a software engineer specializing in Java and Kotlin, with 7+ years of experience.
I help students and professionals not only learn programming, but also develop real software engineering skills.

My lessons are practical, focused on clean code, problem-solving, and real-world scenarios. I aim to create a supportive environment where you can learn with confidence and improve step by step.

Education

- Master’s Degree in Computer Science, University of Trento (UNITN)
- Master’s Degree in Computer Science, Eötvös Loránd University (ELTE)
- Bachelor’s Degree in Computer Science, University of Camerino
- Exchange Program (Erasmus), Metropolia University of Applied Sciences – Helsinki

Expérience / Qualifications

- Specialized in Java and Kotlin development
- Solid understanding of software engineering best practices (clean code, testing, design principles)
- Experience with backend systems and databases
- Passion for mentoring and helping others grow as developers

Age

Enfants (4-6 ans)

Enfants (7-12 ans)

Adolescents (13-17 ans)

Adultes (18-64 ans)

Seniors (65+ ans)

Niveau du Cours

Débutant

Intermédiaire

Avancé

Durée

60 minutes

Enseigné en

anglais

italien

espagnol

Compétences

Java

Base de données

Génie logiciel

Disponibilité semaine type

(GMT -04:00)

New York

Cours par webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Manoj

4.95

(21)

I am a Professional Full Stack Developer with over 15 years of hands-on experience in software engineering, system design, and artificial intelligence.
I’ve worked across frontend, backend, DevOps, and AI, building enterprise-grade systems for real-world applications — from large-scale microservices to cognitive AI platforms.

I’m passionate about teaching the real, modern way of coding — combining deep technical foundations with today’s most advanced technologies: Generative AI, Agentic systems, RAG architectures, cloud automation, and intelligent DevOps.

Whether you are a beginner exploring your first “Hello World,” a professional improving your stack, or a researcher/developer exploring AI systems, I can guide you step-by-step — conceptually, practically, and strategically.

🧩 What You Will Learn
🖥️ Front-End Development

Master how to build responsive, interactive, and high-performance interfaces:

HTML / HTML5 – Structure, semantics, forms, accessibility

CSS / CSS3 / SCSS – Layout, animations, responsive design, Flexbox, Grid

Bootstrap / Tailwind / Material UI – Rapid design frameworks

JavaScript (ES6+) – Functional programming, event loop, closures, async/await

TypeScript – Strong typing, interfaces, decorators, generics

React.js / Next.js – Components, hooks, state management, routing, APIs

Angular (1.x to 17) – Modules, dependency injection, RxJS, advanced architecture

Vue.js (optional) – Reactive programming, lifecycle management

jQuery / AJAX – Legacy support and backend communication

Web Performance – Lighthouse, Core Web Vitals, PWA, caching strategies

⚙️ Back-End & Enterprise Development

Build scalable, secure, and intelligent server-side systems:

C / C++ / Data Structures / Algorithms / OOPS

Java / J2EE / Spring / Spring Boot / Spring Cloud / Hibernate / Struts / Wicket

Microservices Architecture – API gateway, service registry, inter-service communication

Node.js / Express / NestJS – Modern JavaScript/TypeScript backend

REST & SOAP Web Services – API design, security, documentation (Swagger / Postman)

Python (Flask / FastAPI) – REST APIs, ML pipelines, automation

Shell Scripting (Linux/Unix) – Automation, cron jobs, log parsing, DevOps scripting

PHP / Laravel / CodeIgniter – Classic web backend development

Containerization & Orchestration: Docker, Kubernetes, Helm

CI/CD & Cloud: Jenkins, GitHub Actions, Azure DevOps Pipelines

☁️ Cloud & DevOps Mastery

Learn to build, deploy, and scale applications on the cloud:

AWS (EC2, S3, Lambda, DynamoDB, API Gateway, ECS)

Azure (App Services, Functions, CosmosDB, DevOps)

Google Cloud (GCP, Vertex AI, BigQuery, Cloud Run)

Monitoring & Logging: ELK Stack (Elasticsearch, Logstash, Kibana), Grafana, Prometheus

Infrastructure as Code (IaC): Terraform, AWS CDK, Azure Bicep

Version Control & Collaboration: Git, GitHub, GitLab, Bitbucket

CI/CD Pipelines: Build, test, deploy automation, rollback, release management

📱 App Development

Develop mobile and hybrid apps end-to-end:

Android (Java/Kotlin) – UI/UX, activity lifecycle, API integration

Hybrid Frameworks: Ionic, Cordova, React Native

Progressive Web Apps (PWA) – Offline-first, caching, mobile optimization

Firebase Integration: Auth, Firestore, Cloud Messaging

🤖 Artificial Intelligence & Machine Learning

Learn how modern AI systems are built and deployed:

AI Fundamentals: Neural networks, supervised/unsupervised learning

Machine Learning with Python: scikit-learn, TensorFlow, PyTorch

Natural Language Processing (NLP): Transformers, BERT, GPT

Computer Vision: OpenCV, YOLO, Image Classification

AI APIs & Integrations: Google DialogFlow, Azure Cognitive Services, OpenAI API

🧬 Generative AI, RAG & Agentic Systems

Special focus on real-world AI integration and automation:

Generative AI Models (GPT, Claude, Gemini, Llama, Mistral) – Practical implementation

Prompt Engineering – Designing powerful, reusable prompt frameworks

Retrieval-Augmented Generation (RAG) – Hybrid search + generation architectures

Agentic AI Systems – Building autonomous multi-agent workflows (e.g., AutoGPT, CrewAI)

Agentic RAG – Contextual memory, chaining, and reasoning systems

LangChain / LlamaIndex – RAG pipelines, document loaders, embeddings, vector DBs

Vector Databases: Pinecone, Chroma, Weaviate, FAISS

Knowledge Graphs & Context Management – Enterprise data linking with RAG

AI App Deployment: FastAPI + Streamlit + LangServe + Docker

Copilot & AI Tools: GitHub Copilot, ChatGPT API, Code Interpreter, Vertex AI Studio

Google AI Developer Kit (ADK) – Edge AI, TensorFlow Lite, Coral, and model serving

Voice AI & Conversational Design: Dialogflow CX, OpenAI Assistants, ElevenLabs

🔬 Data, Testing & Quality

Database Systems: MySQL, PostgreSQL, MongoDB, Oracle, DB2, Redis

Database Design: ERD, normalization, indexing, performance tuning

Testing Tools: JUnit, Mockito, Selenium, Cypress, Postman

TDD / BDD Practices: Unit, integration, and end-to-end testing

Logging & Monitoring: ELK, Splunk, Prometheus

Performance Optimization: Profiling, caching, concurrency

🧩 Operating Systems & Scripting

Windows / Linux / Ubuntu / Unix Administration

File Systems, Permissions, Networking, Process Management

Shell Scripting / Automation / Log Analysis

System Security and SSH Hardening

🧠 Bonus Topics

Mathematics for Programmers – Logic, combinatorics, probability, graph theory

Game Development Basics: Unity, Phaser.js, HTML5 Canvas

AI Ethics, Data Privacy, Responsible AI Design

Automation Projects & Web Crawling / Scraping: BeautifulSoup, Selenium, Puppeteer

No-Code / Low-Code Integrations: Zapier, Make, AI automations

Ahmed

4.95

(21)

Python is the programming language these days. It is simple, nice and almost all modern applications use it. With Python, we can now create artificial intelligence models that reduce human effort and give us more accurate and reliable results. The Java and C languages are not lacking in importance, they also make it possible to create applications optimized in terms of RAM.

The composition of the course depends on the level of the student and his own objectives. The first session is a one-hour evaluation session which allows the diagnosis of the level and the needs of the student. From this diagnosis we establish together a program that we will follow during our course.

Generally the course allows the student to assimilate:
* Predefined Data Types & Variables;
* Conditional Structures & Loops;
* Functions ;
* Object-oriented programming (OOP);
* Digital engineering;
* An introduction to databases (Examples and uses)
* Relational Algebra
* LDD, LCD, LMD, LCT
* SQL queries (SELECT, UPDATE, ...)
* Creation of a database and automation of queries using the Python language
* Handling files (TXT, Excel, CSV, JSON, Word);
* Data science;
* Introduction and some applications of Artificial Intelligence.

I am waiting for you to start this adventure.

Abdelhamid

4.95

(21)

Expert in Java, Python, C and C++!
Do you want to master Java, Python, C or C++? Get advice from a computer science teacher specialized in these powerful languages! With my in-depth expertise and years of experience, I offer you unique training, tailored to your needs, whether it is to improve your skills, succeed in your university projects, or prepare you for professional challenges.
Adapted methodology: Interactive and practical courses, with concrete projects for real understanding.
Academic and professional expertise: Advanced knowledge applied to real-world needs.
Guaranteed results: Progress quickly and efficiently, whatever your current level.

Oussama

4.95

(21)

Your project is broken? Deadline approaching? Can't deploy? I help developers and students fix bugs, optimize code, and deploy applications to production.
I Specialize In:

Emergency Debugging: Find and fix errors fast (frontend crashes, backend timeouts, database issues)
Deployment Rescue: Get your app live when nothing works (AWS, Vercel, Netlify)
Performance Optimization: Speed up slow applications (database queries, API responses, bundle size)
CI/CD Setup: Automate your deployment pipeline (GitHub Actions, testing, monitoring)

Common Problems I Solve:

❌ "My app works locally but crashes in production"
❌ "Database queries are too slow"
❌ "Authentication isn't working"
❌ "Can't deploy to AWS / Vercel"
❌ "Getting weird errors I don't understand"
❌ "Payment integration (Stripe) not working"

Technologies I Work With:

Frontend: React, Next.js, TypeScript, Vue, Angular
Backend: Node.js, NestJS, Express, Python (Django, Flask)
Databases: PostgreSQL, MySQL, MongoDB, Redis
Cloud: AWS (EC2, RDS, S3), Vercel, Netlify, Render
DevOps: Docker, CI/CD, GitHub Actions, Nginx

Perfect For:

Students: Fix your project before the deadline
Junior Developers: Debug production issues you can't solve alone
Freelancers: Get unstuck on client projects fast
Startups: Fix and deploy your MVP without hiring a full-time engineer

How It Works:

Live Debugging Session: We fix it together via screen share
Code Review: I show you how to prevent the issue in the future
Documentation: You get a summary of what was fixed and why

Average Resolution Time:

Simple bugs: 1-2 hours
Deployment issues: 2-3 hours
Complex debugging: 3-5 hours

Urgent projects accepted (same-day availability for emergencies).

Nicolas

4.95

(21)

Cours en ligne : Bases de Données et SQL – De la Théorie à la Gestion de Données Réelles

Durée :
- 60 minutes : Apprentissage rapide des fondamentaux et exercices pratiques ciblés.
- 90 minutes : Exploration approfondie des concepts et résolution d'exercices complexes.
- 120 minutes : Formation complète, intégrant théorie, pratique, et analyse de cas réels.

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Description générale
Ce cours est conçu pour tous ceux qui souhaitent comprendre et manipuler des bases de données relationnelles à l'aide du langage SQL. Que vous soyez étudiant, professionnel ou autodidacte, vous apprendrez à gérer efficacement des données, à concevoir des bases de données, et à interroger des systèmes pour extraire des informations utiles. Axé sur la pratique, ce cours vous guidera pas à pas, des concepts théoriques aux applications réelles dans des projets ou des environnements professionnels.

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Objectifs pédagogiques
À la fin de ce cours, les participants seront capables de :
1. Comprendre les concepts clés des bases de données relationnelles : tables, relations, et normalisation.
2. Utiliser SQL pour créer, interroger, et modifier des bases de données.
3. Gérer des données réelles en appliquant des requêtes complexes, des jointures, et des fonctions.
4. Concevoir et optimiser des bases de données adaptées à différents besoins professionnels.

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Programme du cours

1. Introduction aux bases de données relationnelles (10-15 min)
- Définition des bases de données et leur rôle dans le stockage et la gestion des données.
- Concepts fondamentaux : tables, lignes, colonnes, clés primaires, et étrangères.

2. Introduction à SQL (20-30 min)
- Syntaxe de base : SELECT, INSERT, UPDATE, DELETE.
- Création et gestion de tables : CREATE, DROP, et ALTER.
- Fonctions simples : COUNT, SUM, AVG, MIN, MAX.

3. Approfondissement (formats 90 et 120 min)
- Jointures (INNER, LEFT, RIGHT) et sous-requêtes.
- Groupement de données avec GROUP BY et HAVING.
- Gestion des relations entre tables : clés étrangères et intégrité référentielle.
- Optimisation des requêtes pour améliorer les performances.

4. Projets pratiques (30-60 min selon la durée)
- Mise en place d'une base de données simple (exemple : gestion d'une bibliothèque ou d'un inventaire).
- Écriture de requêtes complexes pour répondre à des besoins spécifiques.
- Analyse d'un jeu de données réel (fichiers CSV ou bases d'exemples).

5. Q&R et conclusion (5-15 min)
- Récapitulatif des notions abordées.
- Recommandations pour approfondir les compétences en bases de données.
- Feedback et planification des prochaines sessions si nécessaire.

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Méthodologie d’enseignement
- Interactive et pratique : chaque session intègre des exercices guidés pour garantir une compréhension active des concepts.
- Personnalisée : le cours s'adapte aux besoins spécifiques de chaque participant, qu'il soit débutant ou intermédiaire.
- Projets réels : les participants travailleront sur des projets concrets pour consolider leur apprentissage.

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Public cible
Ce cours s’adresse à :
- Les étudiants ou professionnels débutants souhaitant maîtriser les bases de données et SQL.
- Les développeurs et analystes de données cherchant à améliorer leurs compétences en gestion de données.
- Toute personne préparant un entretien technique ou souhaitant intégrer SQL dans ses projets personnels ou professionnels.

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Avantages de ce cours en ligne
- Cours individualisé par un formateur expérimenté.
- Exercices et ressources pratiques accessibles pour s'entraîner après la session.
- Horaires flexibles adaptés à votre emploi du temps.
- Formation adaptée aux besoins des débutants et des apprenants intermédiaires.

Rejoignez ce cours dès aujourd’hui pour découvrir comment gérer des données avec SQL et résoudre des problèmes concrets en toute confiance !

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Salah

4.95

(21)

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.

Mathias

4.95

(21)

Welcome to our immersive journey into the world of cloud computing, where theory meets practice. Led by an industry professional with a Master of Science degree in IT from Carnegie Mellon University and hands-on experience as a Software Engineer at Ansys, this course is crafted to provide you with practical skills from the outset. Explore cloud service models, deployment strategies, and leading platforms like AWS, Azure, and Google Cloud through interactive labs and hands-on exercises. Dive deep into real-world scenarios as you deploy virtual machines, configure cloud storage, and optimize network settings. Whether you're a student venturing into the tech world or a professional seeking to harness the power of the cloud, this course will empower you with the tools and confidence to navigate the complexities of cloud computing. Join us and embark on a journey where learning is synonymous with doing!

Patrick

4.95

(21)

Need professional support for your data analysis?
I offer you a personalized service, adapted to your academic or professional needs.

Whether you are a student, researcher, consultant or professional, I put my expertise at your disposal to help you:
Prepare and organize your databases,
Perform reliable statistical analyses with R, Stata, SPSS...
Interpret your results rigorously,
Present your work in the form of clear reports, graphics and publications.
Each project is handled with rigor, pedagogy, and confidentiality. You benefit from tailored support, whether for a professional assignment, a dissertation, a thesis, or a publication.

For those who wish to train in parallel, I have also designed a complete course to learn how to explore, manipulate and analyze your data independently.

Alain

4.95

(21)

Vous souhaitez comprendre le fonctionnement des bases de données relationnelles et apprendre à utiliser SQL, le langage le plus répandu pour gérer et interroger les données ? Ce cours est conçu pour vous fournir les connaissances essentielles et les compétences pratiques nécessaires pour tirer parti des bases de données relationnelles.

Dans un monde de plus en plus axé sur les données, savoir manipuler des bases de données est un atout essentiel. Que vous soyez étudiant, développeur débutant, analyste de données ou simplement curieux d'apprendre, ce cours vous donnera les bases nécessaires pour réussir.

Ce que vous allez apprendre :
Introduction aux bases de données relationnelles : Familiarisez-vous avec les concepts clés tels que les tables, les lignes, les colonnes, ainsi que les clés primaires et étrangères.
Langage SQL de base : Apprenez à rédiger des requêtes simples comme SELECT, INSERT, UPDATE et DELETE.
Filtrage et tri des données : Utilisez des clauses telles que WHERE, ORDER BY et LIMIT pour manipuler les résultats de vos requêtes.
Jointures (JOIN) : Connectez plusieurs tables pour obtenir des informations plus complètes et pertinentes.
Fonctions d'agrégation : Apprenez à calculer des statistiques comme COUNT, SUM, AVG, MIN et MAX.
Sous-requêtes et vues : Organisez vos requêtes de manière plus sophistiquée pour des analyses approfondies.
Pratiques recommandées : Améliorez vos requêtes pour optimiser les performances.

Pourquoi opter pour ce cours ?
Approche progressive : Des explications claires et détaillées pour assimiler les concepts sans se sentir perdu.
Pratique avant tout : Des exercices interactifs et des exemples concrets pour mettre en pratique immédiatement ce que vous apprenez.
Projets concrets : Participez à des projets pratiques pour renforcer vos compétences en SQL.
Flexibilité et confort : Apprenez depuis chez vous, sans caméra, en utilisant l'audio et le partage d'écran pour une expérience immersive.
Un atout professionnel : Maîtriser SQL est une compétence prisée dans de nombreux domaines, notamment en développement web, data science et analyse de données.

Ce cours s'adresse à plusieurs types de personnes :
- Aux débutants complets qui n'ont jamais utilisé de base de données relationnelle.
- Aux développeurs souhaitant ajouter SQL à leurs compétences.
- Aux analystes de données désireux d'améliorer leurs capacités d'interrogation et d'analyse.
- Aux étudiants en informatique qui souhaitent approfondir leurs connaissances en bases de données relationnelles.

Prérequis :
Aucun ! Ce cours est conçu pour les grands débutants.
Vous aurez simplement besoin de :

- Un ordinateur (Windows, Mac ou Linux).
- Un logiciel de gestion de base de données tel que MySQL ou SQLite (pas d’inquiétude, nous vous guiderons pour l'installation).
- La motivation d'apprendre et de pratiquer à travers des exercices concrets.

Rejoignez ce cours dès maintenant et apprenez les bases des bases de données relationnelles avec SQL ! Ne laissez pas passer cette chance de plonger dans un domaine fascinant où la gestion des données devient simple et efficace. Prêt à relever le défi ? Inscrivez-vous aujourd'hui et commencez votre aventure avec SQL !

Mohamed

4.95

(21)

Java is an essential object-oriented programming language in the world of software development. This foundational course will guide you through the key concepts of Java, starting with basic syntax and control structures (loops, conditionals). You will then discover the principles of object-oriented programming: classes, objects, inheritance, polymorphism, and encapsulation. The course also covers exception handling, Java collections (ArrayList, HashMap), and interfaces. Through practical exercises and real-world projects, you will learn how to write clean and maintainable code. Special attention will be paid to good development practices and Java naming conventions. By the end of the course, you will be able to design and develop simple yet functional Java applications, laying the foundation for more advanced development.

Sylvain

4.95

(21)

Do you want to learn Java or improve your object-oriented programming skills? I offer courses adapted to your level, from beginner to advanced.

👉 Introduction to Java and Object-Oriented Programming
👉 Syntax, control structures and collections
👉 Design and development of Java applications
👉 File, database and API management
👉 Support for your projects and preparation for exams

Personalized courses, interactive teaching and practical exercises for effective learning. Available online or in person. Contact me to start your Java training!

Karim

4.95

(21)

Python programming
Algorithms
Data base
web development
HTML5, CSS3, JavaScript, PHP, SQL
Everything for high school students or students during customized training according to their needs, and don't forget your computers.

Amine

4.95

(21)

◾ 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

Benjamin

4.95

(21)

This class is designed for students, young adults, or professionals who want to better understand computer science and programming, whether they are beginners or already have some experience.

I focus on helping students understand concepts deeply, not just memorize syntax. Topics can include programming fundamentals, algorithms, problem-solving, debugging, and practical projects using languages such as Python, JavaScript, HTML/CSS or SQL, depending on your goals.

My teaching approach is structured, progressive and adapted to each student’s level. I take the time to explain complex ideas in a clear and concrete way, using real-life examples and hands-on exercises.

Lessons can be oriented toward:
- discovering programming from scratch
- strengthening academic knowledge
- preparing exams or technical interviews
- supporting career change or personal projects

Between sessions, I may suggest small exercises or mini-projects to help consolidate what we’ve learned, always at a pace that keeps students motivated, not overwhelmed.

Marc

4.95

(21)

EN
Distance learning courses in software architecture and object-oriented design/programming (C++, Python).
For students, junior/senior developers, career change.
Focus on: design patterns, clean architecture, industry best practices, and how to effectively use AI development assistants. Personalized support tailored to your objectives.

IN
Online courses in software architecture and object-oriented programming (C++, Python).
For students and professional developers.
Focus on design patterns, clean architecture, maintainable and testable code, and how to effectively use AI code assistants.