Accounting And Bookkeeping With Python & Generative Ai

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

What you'll learn

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

Requirements

No previous experience in generative AI is required

Basic knowledge in Python and accounting

Description

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 tasksLearn how to calculate and display profit and loss statement using PythonLearn how to visualise expense data using MatplotlibLearn how to detect anomaly and duplicate transactions using PythonLearn how to automate tax calculation using PythonLearn how to calculate fixed assets depreciation using PythonLearn how to match invoice with purchase order using PythonLearn how to track account receivable and account payable using PythonLearn how to automate bank reconciliation with PythonLearn how to forecast monthly expense using machine learningLearn how to process invoice and receipt using optical character recognitionLearn how to categorize transaction using Deep Seek AILearn how to generate financial statement using Deep Seek AILearn how to create financial report template using ChatGPTLearn how to create journal entry using Claude AILearn how to automate payroll processing using Microsoft CopilotLearn how to analyze cash flow statement using Julius AI

Overview

Section 1: Introduction to the Course

Lecture 1 Introduction

Lecture 2 Table of Contents

Lecture 3 Whom This Course is Intended for?

Section 2: Tools, IDE, and AI Models

Lecture 4 Tools, IDE, and AI Models

Section 3: How AI & Python Can Automate Accounting?

Lecture 5 How AI & Python Can Automate Accounting?

Section 4: Calculating Profit & Loss Statement with Python

Lecture 6 Calculating Profit & Loss Statement with Python

Section 5: Visualizing Expense Data with Matplotlib

Lecture 7 Visualizing Expense Data with Matplotlib

Section 6: Detecting Anomaly & Duplicate Transactions with Python

Lecture 8 Detecting Anomaly & Duplicate Transactions with Python

Section 7: Automating Tax Calculation with Python

Lecture 9 Automating Tax Calculation with Python

Section 8: Calculating Fixed Assets Depreciation with Python

Lecture 10 Calculating Fixed Assets Depreciation with Python

Section 9: Matching Invoice and Purchase Order with Python

Lecture 11 Matching Invoice and Purchase Order with Python

Section 10: Tracking Account Receivable & Account Payable with Python

Lecture 12 Tracking Account Receivable & Account Payable with Python

Section 11: Automating Bank Reconciliation with Python

Lecture 13 Automating Bank Reconciliation with Python

Section 12: Forecasting Monthly Expense with Machine Learning

Lecture 14 Forecasting Monthly Expense with Machine Learning

Section 13: Processing Invoice & Receipt with OCR

Lecture 15 Processing Invoice & Receipt with OCR

Section 14: Categorizing Transactions & Generating Financial Statement with DeepSeek AI

Lecture 16 Categorizing Transactions with DeepSeek AI

Lecture 17 Generating Financial Statement with DeepSeek AI

Section 15: Creating Financial Report Template with ChatGPT

Lecture 18 Creating Financial Report Template with ChatGPT

Section 16: Creating Journal Entry with Claude AI

Lecture 19 Creating Journal Entry with Claude AI

Section 17: Automating Payroll Processing with Microsoft Copilot

Lecture 20 Automating Payroll Processing with Microsoft Copilot

Section 18: Analyzing Cash Flow Statement with Julius AI

Lecture 21 Analyzing Cash Flow Statement with Julius AI

Section 19: Conclusion & summary

Lecture 22 Conclusion & summary

Accountants who are interested in automating repetitive accounting tasks using Python and AI,Business Owners who are interested in automating their bookkeeping process