PathTailor
FRSign inBuild my path
PathTailor
Build my pathSign inLire en français

Java web developer path

The Java web developer learning path chains 23 courses: 121 lessons, 377 exercises and about 70 hours of content. It starts with “Programming Basics and Algorithms” and ends with “Docker and Deployment”. This is the base order: your personal path is built from it and from your goal.

  • 23 courses
  • 121 lessons
  • 377 exercises
  • about 70 h
  • Runs in: browser, full project, server sandbox
  1. Programming Basics and Algorithms
  2. Terminal and Command Line
  3. Git and GitHub
  4. Coding with an AI Assistant (Prompts, Code Review)
  5. Data Structures and Complexity
  6. HTML Fundamentals
  7. CSS Fundamentals
  8. Responsive Layout (Flexbox, Grid)
  9. JavaScript Fundamentals
  10. DOM and Events
  11. Asynchronous JavaScript (Promises, fetch, APIs)
  12. SQL Fundamentals (SELECT, Filters, Aggregates)
  13. Intermediate SQL (joins, subqueries)
  14. Database Modeling
  15. Java Fundamentals
  16. Object-Oriented Java
  17. Collections, Streams, and Exceptions
  18. Testing with JUnit
  19. HTTP and REST APIs
  20. Spring Boot: REST API
  21. Persistence with JPA and Hibernate
  22. Authentication and Web Security (OWASP)
  23. Docker and Deployment
  • Foundations
  • Front-end
  • SQL
  • Java
  • Back-end
Build my pathBecome a Java web developer

The 23 courses, in order

  1. Foundations5 courses
    1. 01Programming Basics and AlgorithmsLearn to program step by step in Python: variables, conditions, loops, functions and your first algorithms.Beginner5 lessons2 h 25 minBrowser
    2. 02Terminal and Command LineMaster the terminal: navigation, file management, searching, pipes, bash scripts and permissions.Beginner5 lessons2 h 20 minFull project
    3. 03Git and GitHubVersion your code with Git and collaborate on GitHub: commits, branches, conflicts, push, pull requests.Beginner5 lessons3 h 5 minFull project
    4. 04Coding with an AI Assistant (Prompts, Code Review)Use an AI assistant to code effectively: precise prompts, critical review, tests, debugging and security.Beginner5 lessons2 h 30 minBrowser
    5. 05Data Structures and ComplexityWrite fast code: Big O notation, lists, dictionaries, sets, stacks, queues, heaps, trees and graphs.Intermediate5 lessons3 h 10 minBrowser
  2. Front-end6 courses
    1. 06HTML FundamentalsLearn to build clean, semantic and accessible web pages with HTML: text, links, images, tables and forms.Beginner6 lessons3 h 5 minBrowser
    2. 07CSS FundamentalsStyle your pages with modern CSS: selectors, the cascade, colors, typography, the box model, interactive states, and positioning.Beginner6 lessons3 h 5 minBrowser
    3. 08Responsive Layout (Flexbox, Grid)Master Flexbox, CSS Grid, media queries, clamp(), and container queries for layouts that adapt to every screen.Intermediate6 lessons3 h 45 minBrowser
    4. 09JavaScript FundamentalsLearn modern JavaScript: variables, conditions, functions, arrays, objects, JSON, errors, and modules, with automatically graded exercises.Beginner6 lessons3 h 50 minBrowser
    5. 10DOM and EventsMake your pages interactive: selecting and modifying the DOM, events, delegation, forms, interface state, and localStorage.Intermediate5 lessons3 h 30 minBrowser
    6. 11Asynchronous JavaScript (Promises, fetch, APIs)Master asynchronous JavaScript: the event loop, promises, async/await, Promise.all and API calls with fetch.Intermediate5 lessons2 h 24 minBrowser
  3. SQL3 courses
    1. 12SQL Fundamentals (SELECT, Filters, Aggregates)Learn to query a database in SQL: select, filter, sort, count and summarize data by groups.Beginner5 lessons2 h 9 minBrowser
    2. 13Intermediate SQL (joins, subqueries)Combine several tables with joins, write subqueries, and master CASE WHEN, UNION and EXCEPT.Intermediate5 lessons2 h 32 minBrowser
    3. 14Database ModelingDesign solid databases: tables, keys, relationships, normalization, star schema, views and migrations.Intermediate5 lessons3 h 4 minBrowser
  4. Java4 courses
    1. 15Java FundamentalsLearn the basics of Java: variables, types, conditions, loops, methods, arrays, and ArrayList, with solved exercises.Beginner5 lessons3 h 5 minServer sandbox
    2. 16Object-Oriented JavaMaster OOP in Java: classes, encapsulation, records, inheritance, interfaces, sealed types, equals/hashCode, and generics.Intermediate6 lessons4 hServer sandbox
    3. 17Collections, Streams, and ExceptionsWork with lists, sets, and maps, process your data with Java streams, and handle errors cleanly with exceptions.Intermediate5 lessons2 h 29 minServer sandbox
    4. 18Testing with JUnitWrite reliable Java unit tests with JUnit 6: assertions, exceptions, parameterized tests, and test doubles with Mockito.Intermediate5 lessons2 h 25 minServer sandbox
  5. Back-end1 course
    1. 19HTTP and REST APIsUnderstand HTTP and design clean REST APIs: methods, status codes, JSON, errors, caching, CORS, authentication, and routing.Intermediate6 lessons3 h 50 minBrowser
  6. Java2 courses
    1. 20Spring Boot: REST APIBuild a professional REST API with Spring Boot: controllers, validated DTOs, a service layer, error handling, and MockMvc tests.Advanced5 lessons2 h 40 minFull project
    2. 21Persistence with JPA and HibernatePersist your Spring Boot API data with JPA, Hibernate, and Spring Data: entities, relationships, queries, transactions, and migrations.Advanced5 lessons2 h 46 minFull project
  7. Back-end2 courses
    1. 22Authentication and Web Security (OWASP)Secure a Node.js web application: injections, XSS, passwords, sessions, tokens, and access control based on the OWASP Top 10.Advanced5 lessons3 h 24 minFull project
    2. 23Docker and DeploymentContainerize your applications with Docker, orchestrate them with Compose, and deploy them to production with CI/CD and HTTPS.Advanced5 lessons3 h 59 minFull project

Optional courses

Suggested depending on your goal, on top of the base path.

Other paths

  • Data analyst

    17 courses · 87 lessons · about 47 h
    1. Programming Basics and Algorithms
    2. Coding with an AI Assistant (Prompts, Code Review)
    3. SQL Fundamentals (SELECT, Filters, Aggregates)
    4. Intermediate SQL (joins, subqueries)
    5. Descriptive Statistics
    6. Python Fundamentals
    7. Data Analysis with pandas and NumPy
    8. Data Cleaning and Preparation
    9. Visualization (Matplotlib, Seaborn, Plotly)
    10. Probability and Inferential Statistics
    11. Exploratory Data Analysis
    12. Business Metrics and KPIs
    13. Advanced SQL (CTEs, window functions)
    14. Data Storytelling and Presenting Results
    15. Automate with Python (Files, Excel, APIs)
    16. A/B Testing and Experimentation
    17. Simple ETL Pipelines
    • Foundations
    • SQL
    • Statistics
    • Python
    • Data analysis

  • Data scientist

    27 courses · 139 lessons · about 83 h
    1. Programming Basics and Algorithms
    2. Terminal and Command Line
    3. Git and GitHub
    4. Coding with an AI Assistant (Prompts, Code Review)
    5. SQL Fundamentals (SELECT, Filters, Aggregates)
    6. Intermediate SQL (joins, subqueries)
    7. Advanced SQL (CTEs, window functions)
    8. Descriptive Statistics
    9. Probability and Inferential Statistics
    10. Python Fundamentals
    11. Intermediate Python (Functions, Modules, OOP)
    12. Data Analysis with pandas and NumPy
    13. Data Cleaning and Preparation
    14. Visualization (Matplotlib, Seaborn, Plotly)
    15. Exploratory Data Analysis
    16. Introduction to Machine Learning (scikit-learn)
    17. Supervised Learning: Regression and Classification
    18. Unsupervised Learning: Clustering and Dimensionality Reduction
    19. Model Evaluation and Validation
    20. Feature Engineering
    21. Time Series and Forecasting
    22. HTTP and REST APIs
    23. APIs with FastAPI
    24. Deep Learning with PyTorch
    25. Natural Language Processing (NLP) and LLMs
    26. Deploying a Model (API, MLOps Basics)
    27. Docker and Deployment
    • Foundations
    • SQL
    • Statistics
    • Python
    • Data analysis
    • Data science
    • Back-end
    • Python for the web

  • Power BI

    13 courses · 65 lessons · about 26 h
    1. SQL Fundamentals (SELECT, Filters, Aggregates)
    2. Intermediate SQL (joins, subqueries)
    3. Database Modeling
    4. Descriptive Statistics
    5. Business Metrics and KPIs
    6. Getting Started with Power BI Desktop
    7. Power Query: Import and Transform
    8. Star Schema Modeling
    9. DAX Fundamentals
    10. Advanced DAX (Context, Time Intelligence)
    11. Data Storytelling and Presenting Results
    12. Designing Reports and Dashboards
    13. Power BI Service: Publishing, Sharing and RLS Security
    • SQL
    • Statistics
    • Data analysis
    • Power BI

  • JavaScript web developer

    24 courses · 127 lessons · about 75 h
    1. Programming Basics and Algorithms
    2. Terminal and Command Line
    3. Git and GitHub
    4. Coding with an AI Assistant (Prompts, Code Review)
    5. HTML Fundamentals
    6. CSS Fundamentals
    7. Responsive Layout (Flexbox, Grid)
    8. JavaScript Fundamentals
    9. DOM and Events
    10. Asynchronous JavaScript (Promises, fetch, APIs)
    11. Accessibility and SEO
    12. Data Structures and Complexity
    13. TypeScript
    14. React
    15. SQL Fundamentals (SELECT, Filters, Aggregates)
    16. Intermediate SQL (joins, subqueries)
    17. Database Modeling
    18. HTTP and REST APIs
    19. Node.js Fundamentals
    20. API with Express
    21. Automated Testing
    22. Authentication and Web Security (OWASP)
    23. Full-Stack React + Node Application
    24. Docker and Deployment
    • Foundations
    • Front-end
    • SQL
    • Back-end
    • Server-side JavaScript

  • Python web developer

    22 courses · 115 lessons · about 70 h
    1. Programming Basics and Algorithms
    2. Terminal and Command Line
    3. Git and GitHub
    4. Coding with an AI Assistant (Prompts, Code Review)
    5. Python Fundamentals
    6. Intermediate Python (Functions, Modules, OOP)
    7. HTML Fundamentals
    8. CSS Fundamentals
    9. Responsive Layout (Flexbox, Grid)
    10. JavaScript Fundamentals
    11. DOM and Events
    12. Asynchronous JavaScript (Promises, fetch, APIs)
    13. SQL Fundamentals (SELECT, Filters, Aggregates)
    14. Intermediate SQL (joins, subqueries)
    15. Database Modeling
    16. HTTP and REST APIs
    17. APIs with FastAPI
    18. Django Fundamentals
    19. Automated Testing
    20. Authentication and Web Security (OWASP)
    21. Complete Application with Django
    22. Docker and Deployment
    • Foundations
    • Python
    • Front-end
    • SQL
    • Back-end
    • Python for the web

  • PHP web developer

    22 courses · 116 lessons · about 68 h
    1. Programming Basics and Algorithms
    2. Terminal and Command Line
    3. Git and GitHub
    4. Coding with an AI Assistant (Prompts, Code Review)
    5. HTML Fundamentals
    6. CSS Fundamentals
    7. Responsive Layout (Flexbox, Grid)
    8. JavaScript Fundamentals
    9. DOM and Events
    10. Asynchronous JavaScript (Promises, fetch, APIs)
    11. SQL Fundamentals (SELECT, Filters, Aggregates)
    12. Intermediate SQL (joins, subqueries)
    13. Database Modeling
    14. PHP Fundamentals
    15. Object-Oriented PHP and Composer
    16. PHP and Databases (PDO)
    17. HTTP and REST APIs
    18. Laravel Fundamentals
    19. Automated Testing
    20. Authentication and Web Security (OWASP)
    21. Advanced Laravel (API, Queues, Tests)
    22. Docker and Deployment
    • Foundations
    • Front-end
    • SQL
    • PHP
    • Back-end

  • Excel and data for the office

    8 courses · 40 lessons · about 12 h
    1. Excel Fundamentals
    2. Excel: Lookup and Logical Functions
    3. Excel: PivotTables
    4. Build and Safeguard a Reliable Excel Workbook
    5. Using Generative AI at Work
    6. Power Query and Power Pivot in Excel
    7. Automating Excel (VBA and Office Scripts)
    8. Power Automate: Automate Your Tasks
    • Excel
    • Generative AI
    • Power Platform

  • AI at work

    5 courses · 25 lessons · about 8 h
    1. Using Generative AI at Work
    2. Cybersecurity: The Basics for Everyone
    3. GDPR for Data and Product Teams
    4. AI Governance and the AI Act
    5. Power Automate: Automate Your Tasks
    • Generative AI
    • Cross-functional skills
    • Power Platform

  • AI developer

    12 courses · 61 lessons · about 28 h
    1. Programming Basics and Algorithms
    2. Python Fundamentals
    3. Intermediate Python (Functions, Modules, OOP)
    4. Git and GitHub
    5. Using Generative AI at Work
    6. HTTP and REST APIs
    7. Integrating an LLM into an Application
    8. RAG in Production
    9. AI Agents and Automation
    10. Evaluating and Monitoring an AI System
    11. Docker and Deployment
    12. Self-Hosting AI Models Locally
    • Foundations
    • Python
    • Generative AI
    • Back-end

  • Data engineer

    18 courses · 91 lessons · about 43 h
    1. Terminal and Command Line
    2. Git and GitHub
    3. SQL Fundamentals (SELECT, Filters, Aggregates)
    4. Intermediate SQL (joins, subqueries)
    5. Advanced SQL (CTEs, window functions)
    6. Database Modeling
    7. Python Fundamentals
    8. Intermediate Python (Functions, Modules, OOP)
    9. Data Analysis with pandas and NumPy
    10. Data Warehouses and Analytical Modeling
    11. Data Quality and Governance
    12. Transforming Data with dbt
    13. Orchestrating Pipelines with Airflow
    14. Distributed Processing with Spark
    15. PostgreSQL in Practice (indexes, performance)
    16. Docker and Deployment
    17. Cloud Fundamentals
    18. Deploying an Application to the Cloud
    • Foundations
    • SQL
    • Python
    • Data engineering
    • Back-end
    • Cloud and DevOps

  • A website for my business

    4 courses · 21 lessons · about 7 h
    1. Build Your Website with WordPress
    2. Online Store with WooCommerce or Shopify
    3. Local SEO and Online Presence
    4. HTML Fundamentals
    • Websites and CMS
    • Front-end

  • Marketing analyst

    9 courses · 45 lessons · about 19 h
    1. SQL Fundamentals (SELECT, Filters, Aggregates)
    2. Intermediate SQL (joins, subqueries)
    3. Descriptive Statistics
    4. Business Metrics and KPIs
    5. Marketing Analytics
    6. E-commerce Analytics
    7. Data Storytelling and Presenting Results
    8. A/B Testing and Experimentation
    9. Local SEO and Online Presence
    • SQL
    • Statistics
    • Data analysis
    • Business analytics
    • Websites and CMS

  • Cloud and DevOps

    10 courses · 50 lessons · about 20 h
    1. Terminal and Command Line
    2. Git and GitHub
    3. Linux for Developers
    4. Docker and Deployment
    5. Continuous Integration and Deployment
    6. Cloud Fundamentals
    7. Deploying an Application to the Cloud
    8. Kubernetes
    9. Infrastructure as Code with Terraform
    10. Cybersecurity: The Basics for Everyone
    • Foundations
    • Cloud and DevOps
    • Back-end
    • Cross-functional skills

  • Mobile developer

    10 courses · 53 lessons · about 28 h
    1. Programming Basics and Algorithms
    2. Git and GitHub
    3. JavaScript Fundamentals
    4. DOM and Events
    5. Asynchronous JavaScript (Promises, fetch, APIs)
    6. TypeScript
    7. React
    8. HTTP and REST APIs
    9. Mobile Apps with React Native
    10. Mobile Apps with Flutter
    • Foundations
    • Front-end
    • Back-end
    • Mobile

  • Digital project manager

    7 courses · 35 lessons · about 12 h
    1. Using Generative AI at Work
    2. Agile Project Management
    3. Business Analysis: From Needs to Specifications
    4. UX Design and Mockups
    5. GDPR for Data and Product Teams
    6. SQL Fundamentals (SELECT, Filters, Aggregates)
    7. Business Metrics and KPIs
    • Generative AI
    • Cross-functional skills
    • SQL
    • Data analysis

Say what you want to be able to do, we build your path

Your path is assembled from the catalogue courses. With the Pro plan, every lesson is told with examples from your job.

The preview is free, and you can take the courses one at a time without paying. The path only contains lessons from the catalogue.