Odoo Python Bootcamp

Connect Python fundamentals with Odoo models, relationships and business logic. Work through guided lessons and game-inspired challenges that ask you to apply the same idea in several different settings, rather than only copy a single example.

65 published lessons and resources. Most are written lessons and challenges, alongside an installation video and a document resource.

$ 295.00 295.0 USD $ 295.00

$ 295.00

★ Free with Mastermind

Included when you enroll in Mastering Odoo Development — Mastermind.

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OdooClass · Course guide

Learn Python through the Odoo applications you want to build

65 published lessons and resources · Odoo Python Bootcamp

Explore the course curriculum View price and enroll

What you will work on

Practice Python syntax, control flow, functions and data structures.
Apply those skills to Odoo models, fields, relationships and application logic.
Reinforce concepts through Monopoly, Risk and air-traffic-control challenges.

Is this course for you?

Beginners learning Python for Odoo development and consultants who want to understand the code behind custom applications.

Before you start

The course begins with Python and Odoo foundations. You will need an Odoo development environment for the implementation exercises; an installation masterclass is included in the opening section.

Your learning path

Python syntax, control flow, functions and modules
Odoo architecture, models, ORM and relationships
Business logic and progressively more involved challenges
Code-file resources and practical application exercises

What is included today

65 published lessons and resources. Most are written lessons and challenges, alongside an installation video and a document resource.

Environment and version guidance

The course introduction and core outline target Odoo 18. Check the version named in a lesson before adapting its APIs or view syntax to another Odoo release.

See all 65 published lessons and resources

Lecture 1.1: Introduction to Python and Odoo
Masterclass: Introduction to Python and Odoo - Installing Odoo
Lecture 1.2: Python Syntax and Data Types
Lecture 1.3: Control Flow in Python
Lecture 1.4: Functions and Modules
Monopoly Challenge: Basic Control Flow and Method Declaration
Risk Challenge: Control Flow and Method Declaration
Master Challenge: Air Traffic Control System
Section 1: Code Files
Lecture 2.1: Odoo Framework Architecture - Models
Lecture 2.2: Models and ORM Basics
Lecture 2.3: Relationships Between Models
Lecture 2.4: Odoo Fields and Constraints
Master Challenge: Implementing Monopoly Game Mechanics in Odoo
Master Challenge: Implementing Risk Game Mechanics in Odoo
Master Challenge: Implementing Air Traffic Control System in Odoo
Section 2: Code Files
Lecture 3.1: Advanced Python Data Structures
Lecture 3.2: Using Python Decorators in Odoo
Lecture 3.3: Error Handling and Debugging
Lecture 3.4: Scheduled Actions and Automation
Monopoly Challenge: Advanced Data Structures and Decorators
Risk Challenge: Error Handling and Game Logic
Master Challenge: Air Traffic Control Automation System
Section 3: Code Files
Lecture 4.1: Creating Your First Odoo Module
Lecture 4.2: Adding Business Logic to Your Module
Lecture 4.3: Integrating with Odoo Views
Lecture 4.4: Reporting and Data Export
Monopoly Challenge: Building a Complete Game Module
Risk Challenge: Business Logic and Territory Views
Master Challenge: Air Traffic Control Module
Section 4: Code Files
Lecture 5.1: Working with External APIs
Lecture 5.2: Security in Odoo Applications
Lecture 5.3: Performance Optimization
Lecture 5.4: Packaging and Deploying Odoo Modules
Monopoly Challenge: API Integration and Security
Risk Challenge: Performance and Optimization
Master Challenge: ATC System - Full Deployment Package
Section 5: Code Files
Lecture 6.1: Project Genesis — Architecture Vision and System Design
Lecture 6.2: Domain Modeling — The Trading Data Layer
Lecture 6.3: The SOLID Strategy Engine — Contracts and Interfaces
Lecture 6.4: The Observer Pattern — Real-Time Market Data Distribution
Lecture 6.5: Order Management — Factory and State Patterns Combined
Lecture 6.6: The Market Scanner — High-Performance Data Processing
Lecture 6.7: WebSocket and Webhook Architecture — Eliminating Cron Jobs
Lecture 6.8: OWL Frontend — Real-Time Trading Dashboard
Lecture 6.9: Portal and User Management — Trading Profiles
Lecture 6.10: Testing, Backtesting, and Quality Assurance
Lecture 6.11: Design Documentation — UML, ERD, and Professional Artifacts
Lecture 6.12: Deployment, Monitoring, and Production Readiness
Lecture 7.1: Project Vision — Bridging Art and Music Through Technology
Lecture 7.2: Data Modeling — The Art Domain
Lecture 7.3: Data Modeling — The Music Domain
Lecture 7.4: The Association Engine — Connecting Art and Music
Lecture 7.5: Data Pipeline — Ingesting 1.4 Million Artworks
Lecture 7.6: Data Pipeline — Ingesting 700K+ Music Tracks
Lecture 7.7: The Intelligent Music Player — Crossfade Engine and Context-Aware Selection
Lecture 7.8: OWL Gallery UX — The Art Browser Experience
Lecture 7.9: OWL Music UX — Player Interface and Music Browser
Lecture 7.10: The Exploration Experience — Unified Art and Music Discovery
Lecture 7.11: Search, Discovery, and Personalization — Making 2.1 Million Items Findable
Lecture 7.12: Performance, Testing, and Deployment at Scale — Production-Ready Platform Engineering

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