ICAEA Certified Training

Overview ：
The course is designed to guide you through experimenting with real-world smart auditing scenarios for General Ledger audits in a step-by-step process. It provides participants with comprehensive training in utilizing the latest advancements in audit technology, specifically focusing on the Applications of General Ledger Smart Auditing Practice.  Leveraging JCAATs - AI Audit Software, participants will gain hands-on experience and practical knowledge in conducting efficient and effective computer audits of AICPA Audit Data Standard for General Ledger.

In this course, participants will gain practical skills for implementing AI in General Ledger audits. The curriculum starts with using Python to apply AICPA's Audit Data Standard to datasets. Following this, the course introduces JCAATs, a leading AI audit software, and demonstrates its capabilities for importing and analyzing General Ledger data. Participants will engage in hands-on exercises covering data analytics and text mining, designed to develop both basic and advanced auditing skills. This course provides a structured, step-by-step approach to mastering smart auditing techniques, making it ideal for beginners seeking comprehensive training in modern audit technology.

Overview ：
This course is designed to teach participates an overview to apply AI into audit. It starts to illustrate how Python, an open source AI programming language, can be used in Auditing. It will describe how to apply the AICPA's Audit Data Standard formatting to a data set by using Python. It, then, introduces a python-based AI audit software and demonstrate how it can import AICPA Audit Data Standard GL data set into the audit software and how to develop routines to further analyse, such as data analytic and text mining in the audit process.

Overview :
This course is designed to teach participates a fundamental of Smart Auditing Techniques for General Ledgers. It use JCAATs, an AI audiot software, as an exmaple to hands on the parctice. This structure aims to provide a logical flow from introductory to advanced techniques, ensuring a comprehensive understanding of smart auditing practices for General Ledger audits. Each nodule contains Hands-on and Demonstration. It is suitable for beginners.

Course Overview
In today’s AI-driven era, data analytics and intelligent auditing are essential skills for professionals in accounting, auditing, compliance, risk management, and cybersecurity. This course uses JCAATs AI Auditing Software, a Python-based platform with a Traditional Chinese interface, to teach practical skills in machine learning, text mining, open data integration, and data fusion.
From basic concepts to hands-on practice, the course guides learners through system setup, data import, project creation, and intelligent audit workflows. By combining step-by-step modules and real-world exercises, participants will develop strong AI auditing skills and transition from traditional data analysis to advanced AI-powered auditing.

Course Overview
In the AI era, data analysis and intelligent auditing are essential skills for professionals in accounting, auditing, compliance, risk management, and cybersecurity. This course uses JCAATs AI Auditing Software, built with Python-based technology and a Traditional Chinese interface, to help learners develop practical data handling and basic computing skills.
Through step-by-step instruction and hands-on exercises, learners will build a strong foundation in intelligent auditing, preparing them for more advanced AI audit and data analysis work.

Course Overview
Data validation is a key step in ensuring accurate audit results and maintaining data quality. This course focuses on essential techniques such as format checking, missing data handling, control total verification, and anomaly detection.
Learners will gain practical skills through hands-on exercises, using tools to identify common data issues like sequence errors, gaps, and duplicates. The course prepares participants to apply data validation methods effectively in real-world audit projects.

Course Overview
This course introduces the basic skills of data analysis and exploration using JCAATs. It helps learners build essential abilities for organizing and understanding audit data through hands-on practice with classification, summarization, stratification, aging analysis, sorting, and indexing.
Learners will strengthen their ability to process data logically and systematically, laying a strong foundation for future tasks such as risk assessment and report generation.

Course Overview
This course focuses on practical skills for data matching and audit report generation. Learners will start with how to set conditions and link fields across tables to detect data errors and identify potential risks.
The course then covers how to extract, merge, and export data using JCAATs tools. Through hands-on exercises, learners will build strong skills for preparing, analyzing, and presenting audit data effectively—gaining practical experience in turning analysis into actionable reports.

Course Overview
In today’s AI-driven era, data analytics and intelligent auditing are essential skills for professionals in accounting, auditing, compliance, risk management, and cybersecurity. This course uses JCAATs AI Auditing Software, a Python-based platform with a Traditional Chinese interface, to teach practical skills in machine learning, text mining, open data integration, and data fusion.
From basic concepts to hands-on practice, the course guides learners through system setup, data import, project creation, and intelligent audit workflows. By combining step-by-step modules and real-world exercises, participants will develop strong AI auditing skills and transition from traditional data analysis to advanced AI-powered auditing.

Course Overview
In the AI era, data analysis and intelligent auditing are essential skills for professionals in accounting, auditing, compliance, risk management, and cybersecurity. This course uses JCAATs AI Auditing Software, built with Python-based technology and a Traditional Chinese interface, to help learners develop practical data handling and basic computing skills.
Through step-by-step instruction and hands-on exercises, learners will build a strong foundation in intelligent auditing, preparing them for more advanced AI audit and data analysis work.

Course Overview
Data validation is a key step in ensuring accurate audit results and maintaining data quality. This course focuses on essential techniques such as format checking, missing data handling, control total verification, and anomaly detection.
Learners will gain practical skills through hands-on exercises, using tools to identify common data issues like sequence errors, gaps, and duplicates. The course prepares participants to apply data validation methods effectively in real-world audit projects.

Course Overview
This course introduces the basic skills of data analysis and exploration using JCAATs. It helps learners build essential abilities for organizing and understanding audit data through hands-on practice with classification, summarization, stratification, aging analysis, sorting, and indexing.
Learners will strengthen their ability to process data logically and systematically, laying a strong foundation for future tasks such as risk assessment and report generation.

Course Overview
This course focuses on practical skills for data matching and audit report generation. Learners will start with how to set conditions and link fields across tables to detect data errors and identify potential risks.
The course then covers how to extract, merge, and export data using JCAATs tools. Through hands-on exercises, learners will build strong skills for preparing, analyzing, and presenting audit data effectively—gaining practical experience in turning analysis into actionable reports.

Course Overview
In today’s AI-driven era, data analytics and intelligent auditing are essential skills for professionals in accounting, auditing, compliance, risk management, and cybersecurity. This course uses JCAATs AI Auditing Software, a Python-based platform with a Traditional Chinese interface, to teach practical skills in machine learning, text mining, open data integration, and data fusion.
From basic concepts to hands-on practice, the course guides learners through system setup, data import, project creation, and intelligent audit workflows. By combining step-by-step modules and real-world exercises, participants will develop strong AI auditing skills and transition from traditional data analysis to advanced AI-powered auditing.

Course Overview
In the AI era, data analysis and intelligent auditing are essential skills for professionals in accounting, auditing, compliance, risk management, and cybersecurity. This course uses JCAATs AI Auditing Software, built with Python-based technology and a Traditional Chinese interface, to help learners develop practical data handling and basic computing skills.
Through step-by-step instruction and hands-on exercises, learners will build a strong foundation in intelligent auditing, preparing them for more advanced AI audit and data analysis work.

Course Overview
Data validation is a key step in ensuring accurate audit results and maintaining data quality. This course focuses on essential techniques such as format checking, missing data handling, control total verification, and anomaly detection.
Learners will gain practical skills through hands-on exercises, using tools to identify common data issues like sequence errors, gaps, and duplicates. The course prepares participants to apply data validation methods effectively in real-world audit projects.

Course Overview
This course introduces the basic skills of data analysis and exploration using JCAATs. It helps learners build essential abilities for organizing and understanding audit data through hands-on practice with classification, summarization, stratification, aging analysis, sorting, and indexing.
Learners will strengthen their ability to process data logically and systematically, laying a strong foundation for future tasks such as risk assessment and report generation.

Course Overview
This course focuses on practical skills for data matching and audit report generation. Learners will start with how to set conditions and link fields across tables to detect data errors and identify potential risks.
The course then covers how to extract, merge, and export data using JCAATs tools. Through hands-on exercises, learners will build strong skills for preparing, analyzing, and presenting audit data effectively—gaining practical experience in turning analysis into actionable reports.

Course Overview
As unstructured data becomes more common in audits and compliance, text mining is now a key skill for audit professionals. This course teaches how to extract insights, detect anomalies, and identify risks from large volumes of text data.
Learners will start with the basics of why text mining matters in auditing, then gain hands-on experience using tools such as fuzzy matching, keyword search, word clouds, and sentiment analysis to analyze natural language data in real audit tasks.

Course Overview
This course provides hands-on training in applying machine learning techniques to audit analytics. Learners will explore how AI can automatically detect risks, identify anomalies, and group similar data through clustering.
The course begins with key machine learning concepts and workflows, then moves into practical exercises using unsupervised learning for outlier detection, supervised learning for risk prediction, and clustering for behavior analysis—building essential skills for intelligent, AI-driven auditing.

Course Overview
In modern auditing and compliance, the ability to analyze unstructured text data is increasingly important. This course teaches how to apply text mining techniques to identify anomalies, detect risks, and extract key information from large amounts of textual records.
Learners will start by exploring why text mining is essential in auditing, and then gain hands-on experience with tools such as fuzzy matching, keyword search, word clouds, and sentiment analysis to improve risk detection using natural language data.

Course Overview
This course provides hands-on training in applying machine learning techniques to audit analytics. Learners will explore how AI can automatically detect risks, identify anomalies, and group similar data through clustering.
The course begins with key machine learning concepts and workflows, then moves into practical exercises using unsupervised learning for outlier detection, supervised learning for risk prediction, and clustering for behavior analysis—building essential skills for intelligent, AI-driven auditing.

Course Overview
This course provides hands-on training in applying machine learning techniques to audit analytics. Learners will explore how AI can automatically detect risks, identify anomalies, and group similar data through clustering.
The course begins with key machine learning concepts and workflows, then moves into practical exercises using unsupervised learning for outlier detection, supervised learning for risk prediction, and clustering for behavior analysis—building essential skills for intelligent, AI-driven auditing.

Course Overview
As unstructured data becomes more common in audits and compliance, text mining is now a key skill for audit professionals. This course teaches how to extract insights, detect anomalies, and identify risks from large volumes of text data.
Learners will start with the basics of why text mining matters in auditing, then gain hands-on experience using tools such as fuzzy matching, keyword search, word clouds, and sentiment analysis to analyze natural language data in real audit tasks.

Course Overview
As unstructured data becomes more common in audits and compliance, text mining is now a key skill for audit professionals. This course teaches how to extract insights, detect anomalies, and identify risks from large volumes of text data.
Learners will start with the basics of why text mining matters in auditing, then gain hands-on experience using tools such as fuzzy matching, keyword search, word clouds, and sentiment analysis to analyze natural language data in real audit tasks.

Course Overview
In modern auditing and compliance, the ability to analyze unstructured text data is increasingly important. This course teaches how to apply text mining techniques to identify anomalies, detect risks, and extract key information from large amounts of textual records.
Learners will start by exploring why text mining is essential in auditing, and then gain hands-on experience with tools such as fuzzy matching, keyword search, word clouds, and sentiment analysis to improve risk detection using natural language data.

Course Overview
In modern auditing and compliance, the ability to analyze unstructured text data is increasingly important. This course teaches how to apply text mining techniques to identify anomalies, detect risks, and extract key information from large amounts of textual records.
Learners will start by exploring why text mining is essential in auditing, and then gain hands-on experience with tools such as fuzzy matching, keyword search, word clouds, and sentiment analysis to improve risk detection using natural language data.

Overview :
This course is designed to teach participates a fundamental of Smart Auditing Techniques for General Ledgers. It use JCAATs, an AI audiot software, as an exmaple to hands on the parctice. This structure aims to provide a logical flow from introductory to advanced techniques, ensuring a comprehensive understanding of smart auditing practices for General Ledger audits. Each nodule contains Hands-on and Demonstration. It is suitable for beginners.

Course Description
Welcome to our ICCP (International Certified CAATs Practitioner) preparation course, a crucial element within the comprehensive ICAEA ICCP course series. This program is meticulously designed to assist individuals gearing up for the ICCP certification exam, providing a deep understanding of CAATs (Computer-Assisted Audit Techniques) methods. What sets this course apart is its hands-on approach, where students actively participate in practical exercises employing JCAATs-AI audit software. By doing so, learners not only grasp the theory but also develop the practical skills necessary for seamlessly integrating artificial intelligence into the audit process.

This course offers solutions for those preparing for the ICEA (International Certificate ESG Auditor) practice exam. It forms a vital component of the ICAEA ESG course series, equipping students not only with a solid understanding of greenhouse gas inventory methods but also enabling them to actively engage in practical exercises using JCAATs-AI audit software. This empowers students to seamlessly integrate artificial intelligence into the audit process.

The ICEA International ESG Auditor Certification is an expert-level qualification designed for professionals specializing in ESG (Environmental, Social, and Governance) audits, particularly using computer-assisted audit tools (CAATs). This certification validates your expertise in ESG auditing and offers several benefits:

The ICEA International ESG Auditor Certification is an expert-level qualification designed for professionals specializing in ESG (Environmental, Social, and Governance) audits, particularly using computer-assisted audit tools (CAATs). This certification validates your expertise in ESG auditing and offers several benefits: