Build the technical depth and client-facing judgement to turn Odoo ERP into a working operating system for real businesses.
This programme develops engineers who can understand business operations, configure and extend Odoo safely, and deliver a production outcome alongside client teams.
Each block combines explanation, guided implementation, review, and a practical delivery artefact. Learners translate an ambiguous operating problem into a measurable workflow, configure or extend Odoo, test the result, and defend the technical and business trade-offs.
The programme is for technical professionals who want to work where enterprise software, business operations, and client delivery meet.
| Learner profile | Why this programme fits |
|---|---|
| Python and backend developers | Apply software engineering skills to Odoo modules, integrations, workflows, and production constraints. |
| Systems and data engineers | Connect enterprise data, APIs, PostgreSQL, migration pipelines, and operational reporting. |
| Technical business analysts | Turn process discovery and stakeholder requirements into testable ERP specifications. |
| ERP and implementation practitioners | Strengthen development, performance, security, and upgrade-safe customisation capability. |
| Technical consultants and solutions engineers | Build the client-facing judgement needed to scope, deliver, explain, and support change. |
| Career switchers with strong foundations | Develop a documented portfolio showing an end-to-end ERP delivery and capstone outcome. |
The 16-week programme combines live instruction, guided implementation, independent practice, assessment work, and a production capstone.
Plan for approximately 10–14 committed hours per week across live sessions, guided labs, implementation work, reading, and assessment.
Apply the complete FDE loop to an Odoo migration scenario, including testing, documentation, deployment planning, and an executive presentation.
| Requirement | Minimum / recommended setup |
|---|---|
| Computer | Modern 64-bit computer with at least 16 GB RAM, reliable SSD storage, and permission to install development tools. |
| Development environment | Python 3.11+, Git, PostgreSQL client tools, a modern browser, and an approved code editor. |
| Odoo environment | Access to the course Odoo instance or an approved local/containerised development environment. |
| Connectivity | Stable internet access, webcam, and microphone for live online sessions and collaboration. |
| Working access | Ability to run code, inspect logs, use APIs, and work with sample business data in a non-production environment. |
The sequence moves from consultative foundations through Odoo specialisation and into an end-to-end production simulation.
| Week | Focus | Detailed topics | Practical output |
|---|---|---|---|
| 1 | FDE mindset and client discovery | Role of the embedded engineer, discovery interviews, process mapping, stakeholder goals, constraints, and success measures. | Discovery plan and stakeholder map. |
| 2 | Architecture and operating models | System boundaries, environments, integration patterns, data ownership, non-functional requirements, and architecture trade-offs. | Current-state and target-state architecture. |
| 3 | Requirements and scope control | Translating vague needs into user stories, acceptance criteria, risks, assumptions, change control, and delivery sequencing. | Prioritised backlog and first-loop specification. |
| 4 | Enterprise data and integrations | Data quality, identity matching, ETL/ELT, REST APIs, webhooks, retries, idempotency, and schema evolution. | Integration contract and data-mapping workbook. |
| 5 | Odoo framework foundations | Modules, manifests, ORM recordsets, environments, models, fields, inheritance, lifecycle, and upgrade-safe patterns. | Working custom module skeleton. |
| 6 | Views, workflows, and security | XML view inheritance, actions, menus, access control lists, record rules, multi-company boundaries, and user journeys. | Role-based workflow with security tests. |
| 7 | Sales, CRM, and project delivery | Lead-to-opportunity, quotations, orders, customer handoffs, project tasks, approvals, and operational reporting. | Configured opportunity-to-delivery loop. |
| 8 | Inventory and purchase operations | Products, routes, replenishment, warehouses, receipts, deliveries, purchase flows, reservations, and cross-docking. | Inventory workflow and exception map. |
| 9 | Accounting and financial controls | Double-entry principles, journals, invoices, taxes, fiscal positions, currencies, reconciliation, and audit trails. | Tested invoice-to-ledger scenario. |
| 10 | ORM performance and PostgreSQL | Prefetching, N+1 queries, batch operations, indexes, query plans, transactions, locks, and profiling. | Performance findings and remediation plan. |
| 11 | Background jobs and integrations | Cron jobs, queues, external service failures, state machines, observability, retries, and operational alerts. | Resilient asynchronous integration design. |
| 12 | Migration and data loading | Extraction, transformation, mapping, deduplication, validation, batch loading, reconciliation, rollback, and cutover planning. | Migration runbook and reconciliation report. |
| 13 | Testing and deployment | Unit and integration tests, user acceptance, fixtures, staging, backups, release controls, monitoring, and rollback. | Release checklist and test evidence. |
| 14 | Capstone solution build | Implement the legacy manufacturing scenario, connect inventory and accounting, resolve defects, and document decisions. | Integrated Odoo solution increment. |
| 15 | Client simulation and hardening | Incident response, scope changes, performance review, user training, executive narrative, and production readiness. | Handover pack and executive briefing. |
| 16 | Capstone assessment | End-to-end demonstration, technical review, business-value explanation, peer feedback, portfolio refinement, and development plan. | Final capstone, report, and presentation. |
Assessment focuses on code resilience, architecture, data accuracy, documentation, delivery judgement, and the clarity of the final client presentation.
Weekly implementation work, code review, data exercises, integration tasks, and evidence of safe Odoo customisation.
Discovery notes, scope decisions, stakeholder communication, risk handling, and clear mapping from technical choices to business value.
A production-grade Odoo scenario, migration artefacts, tests, documentation, and an executive-ready technical presentation.
Learners who meet the attendance, participation, assessment, and capstone requirements will earn a Certificate of Completion digital badge and certificate from Digital Futures Academy. This records successful completion of the programme and is not represented as a government licence or external professional certification.
It is for technical professionals who want to combine software engineering, ERP implementation, and client-facing delivery.
Previous Odoo experience is helpful but not required. Python, SQL, relational database, and basic business-process foundations are expected.
It covers online instruction, guided practical work, feedback, assessment activities, and the production capstone. Personal equipment and connectivity remain the learner’s responsibility.
You will simulate migrating a legacy manufacturing operation into Odoo with connected inventory-to-accounting workflows, testing, documentation, and a client presentation.
Digital Futures may invite applicants to complete the Odoo FDE assessment to understand technical readiness and consulting judgement.
Ask about cohort dates, fit, and assessment next steps.