Introduction

In today’s fast-paced digital transformation era, organizations are rapidly adopting ERP automation solutions to optimize business processes, reduce operational costs, and increase efficiency. Python for ERP Automation Training Course is designed to empower professionals with in-demand Python programming skills, API integration techniques, and automation frameworks to streamline workflows in major ERP systems such as SAP, Oracle, Odoo, and Microsoft Dynamics 365. Learners will master the art of connecting Python with ERP modules to automate repetitive tasks, enhance data accuracy, and improve business intelligence reporting.

This hands-on course integrates real-world case studies, industry-driven automation tools, and AI-powered ERP workflows to equip participants with future-ready skills. By the end of this training, participants will be proficient in Python scripting, RPA (Robotic Process Automation), data migration, API orchestration, and ERP analytics preparing them for roles in ERP development, business automation, and data engineering across global enterprises.

Programme Curriculum

Python for ERP Automation Training Course

Introduction

Course Duration

10 days

Course Objectives

Master Python fundamentals for ERP system automation.
Implement Python APIs for ERP data integration and synchronization.
Build custom automation scripts for ERP workflows using RPA libraries.
Understand ERP architecture and database mapping using Python.
Develop intelligent bots for invoice processing, inventory management, and sales orders.
Apply machine learning for predictive ERP analytics.
Automate data migration and data validation processes.
Integrate Python with SAP, Oracle, and Odoo ERP systems.
Enhance ERP reports with Python-driven dashboards and visualization tools.
Learn error handling, logging, and version control best practices.
Optimize ERP performance using Python multithreading and multiprocessing.
Leverage cloud-based ERP automation frameworks
Implement end-to-end ERP automation projects with real-time case studies.

Target Audience

ERP Developers and Consultants
Business Analysts
Python Programmers
Data Engineers and Automation Specialists
IT Managers and Project Leads
System Integrators
Digital Transformation Professionals
Graduate Students pursuing careers in ERP and Automation

Course Modules

Module 1: Introduction to ERP and Python

Overview of ERP systems and business workflows
Understanding Python’s role in automation
Setting up the Python environment for ERP
ERP architecture and integration layers
Case Study: Automating purchase order entry in SAP

Module 2: Python Fundamentals for ERP Automation

Python syntax, data structures, and functions
File handling and exception management
Working with JSON, XML, and CSV ERP data formats
Python libraries for ERP integration
Case Study: Extracting sales reports from Oracle ERP

Module 3: ERP Database Automation

Connecting Python with SQL and NoSQL databases
CRUD operations for ERP modules
Data cleaning and transformation
Automating database backups
Case Study: Updating product catalogs in Odoo ERP

Module 4: API Integration and ERP Connectivity

REST and SOAP API fundamentals
Authentication and token handling
Building Python scripts for API automation
Using Postman for testing ERP APIs
Case Study: Integrating CRM data with SAP ERP

Module 5: Automating ERP Workflows

Understanding process mapping
Automating repetitive ERP tasks using Python
Scheduling jobs and triggers
Workflow optimization with Celery
Case Study: Automated invoice reconciliation

Module 6: Python for RPA in ERP

Introduction to RPA concepts
Using Python RPA libraries
Automating UI-based ERP actions
Handling exceptions and dynamic pages
Case Study: Automating employee onboarding in Dynamics 365

Module 7: Data Migration and Transformation

ETL (Extract, Transform, Load) process
Migrating legacy ERP data with Python
Handling large data volumes efficiently
Data validation and integrity checks
Case Study: Migrating HR records between Oracle ERP systems

Module 8: Reporting and Visualization

Generating ERP reports using pandas and matplotlib
Building dashboards with Plotly and Dash
Automating Excel-based ERP analytics
Creating interactive BI dashboards
Case Study: Sales trend dashboard for SAP ERP

Module 9: Machine Learning for ERP Automation

Introduction to ML algorithms for ERP data
Predictive analytics for sales forecasting
Anomaly detection in finance and inventory
Integrating ML models into ERP systems
Case Study: Predicting stock levels using Python ML

Module 10: Cloud-based ERP Integration

Deploying Python scripts on cloud platforms
Integrating with cloud ERPs (NetSuite, SAP Cloud)
Using AWS Lambda for automation tasks
Secure API communication and data encryption
Case Study: Cloud automation for purchase approvals

Module 11: Security and Compliance in ERP Automation

Data privacy and compliance
Secure credential handling in Python scripts
Audit trails and logging mechanisms
Role-based access in automation scripts
Case Study: Secure automation in financial modules

Module 12: Version Control and Collaboration

Git and GitHub for ERP project versioning
CI/CD pipelines for Python automation
Collaborative workflow management
Code documentation and best practices
Case Study: ERP script deployment pipeline

Module 13: Advanced Python Automation Tools

Selenium, PyTest, and Robot Framework
AsyncIO and multiprocessing for ERP tasks
Integrating AI-powered assistants in ERP
Using Python with Power Automate
Case Study: Intelligent bot for HR attendance automation

Module 14: Project Implementation and Testing

ERP automation project planning
Test case design and validation
Troubleshooting integration issues
Performance optimization techniques
Case Study: Full automation lifecycle for procurement module

Module 15: Capstone Project and Certification

Real-time ERP automation challenge
Building a Python-based ERP automation tool
Presentation and review by experts
Assessment and certification
Case Study: End-to-end ERP automation solution presentation

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Programme Fee

Duration: 10 Days

Method: Online or Physical

Online Price: $2,000

Physical Price: $3,000

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $2,000