Free Coupon Code Accounting and Bookkeeping with Python & Generative AI 100% OFF

Udemy Free coupon code for Accounting and Bookkeeping with Python & Generative AI course taught by Christ Raharja, which has 1,166 students and is rated 0.0 out of 0 votes. This course is about 3 hour(s) 30 minute(s) in English and was updated on August 22, 2025. You can use this Udemy course with a free certificate and find the coupon at the bottom of this page.

Learn how to automate repetitive accounting tasks using Python, ChatGPT, Claude AI, Microsoft Copilot, and DeepSeek AI

Welcome to Accounting and Bookkeeping with Python & Generative AI course. This is a comprehensive tutorial for accountants and business owners who are interested in using AI for automating repetitive accounting tasks, improving accuracy in financial reporting, and enhancing the auditing process. This course is a perfect combination between accounting and artificial intelligence, making it an ideal opportunity to practice your programming skills while improving your technical knowledge in financial accounting. In the introduction session, you will learn how AI and Python can be used to automate accounting tasks, such as categorizing transactions, generating financial reports, detecting transaction duplicates, and processing invoices. Then, in the next section, you will learn how to automate bookkeeping using Python. Firstly, we are going to calculate profit and loss by analyzing revenue and expense data systematically. This will help us understand the financial performance of the business over a specific period. Afterward, we are also going to calculate fixed assets depreciation using Python. This will enable us to accurately reflect asset value reductions on the balance sheet. Then, after that, we are going to track accounts receivable and payable to monitor incoming and outgoing payments efficiently. This allows us to maintain healthy cash flow and timely manage outstanding balances. In the next section, we are going to visualize expense data breakdown using Matplotlib. This will help us to identify major cost drivers and optimize spending. Following that, we are going to detect anomalies and duplicate transactions automatically using Python. This will allow us to reduce errors and prevent potential fraud in accounting records. Then, we are also going to automate invoice matching by comparing purchase orders, invoices, and payment data seamlessly. This will help us to streamline the accounts payable process without having to manually cross check documents one by one. Following that, we are going to automate bank reconciliation by matching bank statement transactions with internal records. This enables us to quickly identify discrepancies and maintain clean financial records. We are also going to automate tax calculation by applying relevant tax rules to each transaction accurately. This allows us to ensure compliance during tax season. In the next section we will leverage machine learning for forecasting monthly expenses, specifically we will build a forecasting model using Gated Recurrent Unit. In addition to that, we are also going to automate invoice processing using optical character recognition, specifically, we will extract text from uploaded invoice images using Tesseract. In the next section, we are going to create a system that is able to categorize transactions and generate financial statements from transaction data input using Deepseek and Open Router AI. This will help us automate data classification and streamline the financial reporting process. Following that, we are going to generate comprehensive financial reports using ChatGPT. This will enable us to transform raw data into easy to understand summaries and quickly produce insightful reports for decision-makers. Next, we are going to automate payroll processing using Microsoft Copilot. This will help us accurately calculate employee salaries, deductions, and taxes, ensuring timely and error free payroll management. Then, after that, we are going to automate journal entry creation using Claude AI. This will enable us to interpret transaction details and generate appropriate accounting entries with accurate debit and credit postings, ensuring the ledger remains balanced. Lastly, at the end of the course, we are going to analyze and summarize the cash flow statement using Julius AI. This will help us provide clear insights into company financial health, identify key trends, and make more informed strategic decisions.

Firstly before getting into the course, we need to ask this question to ourselves, why should we use Python and AI for automating accounting tasks? Well, here is my answer, by outsourcing some of the work to AI, accountants will be able to save time by handling repetitive tasks quickly and accurately, reducing the chance of human error. Additionally, it allows accountants to focus more on strategic analysis and advisory roles instead of dealing with repetitive tasks.

Below are things that you can expect to learn from this course:

• Learn how to use generative AI and Python to automate repetitive accounting tasks

• Learn how to calculate and display profit and loss statement using Python

• Learn how to visualise expense data using Matplotlib

• Learn how to detect anomaly and duplicate transactions using Python

• Learn how to automate tax calculation using Python

• Learn how to calculate fixed assets depreciation using Python

• Learn how to match invoice with purchase order using Python

• Learn how to track account receivable and account payable using Python

• Learn how to automate bank reconciliation with Python

• Learn how to forecast monthly expense using machine learning

• Learn how to process invoice and receipt using optical character recognition

• Learn how to categorize transaction using Deep Seek AI

• Learn how to generate financial statement using Deep Seek AI

• Learn how to create financial report template using ChatGPT

• Learn how to create journal entry using Claude AI

• Learn how to automate payroll processing using Microsoft Copilot

• Learn how to analyze cash flow statement using Julius AI