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
This course provides foundational training in data processing for intelligent auditing, integrating multi-source data import, intelligent data integration, and computational analysis. Learners will start with importing data from diverse formats such as Excel, ODS, CSV, TXT, open data, web crawling, PDF, JSON, and XML. The course then introduces techniques for merging and cross-checking data to improve completeness and analytical value. Practical exercises throughout ensure learners can confidently apply these skills to real-world auditing and data analysis, building a strong foundation for advanced intelligent auditing and AI applications.

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
This course provides foundational training in data processing for intelligent auditing, integrating multi-source data import, intelligent data integration, and computational analysis. Learners will start with importing data from diverse formats such as Excel, ODS, CSV, TXT, open data, web crawling, PDF, JSON, and XML. The course then introduces techniques for merging and cross-checking data to improve completeness and analytical value. Practical exercises throughout ensure learners can confidently apply these skills to real-world auditing and data analysis, building a strong foundation for advanced intelligent auditing and AI applications.

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
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
This course is designed for learners seeking to enhance their JCAATs software skills by mastering date functions for data analysis and auditing. Date functions are essential for time calculations, date ranges, and time series analysis, yet often overlooked. Through practical exercises, learners will progress from basic concepts to advanced applications, gaining the ability to apply date functions effectively in real-world audit and data processing tasks.

Course Overview
This course is designed for learners seeking to enhance their JCAATs software skills by mastering date functions for data analysis and auditing. Date functions are essential for time calculations, date ranges, and time series analysis, yet often overlooked. Through practical exercises, learners will progress from basic concepts to advanced applications, gaining the ability to apply date functions effectively in real-world audit and data processing tasks.

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.

Unlock your potential as an expert in Computer Assisted Audit Techniques (CAATs) with our ICCP Exam Review Self-Study Course. This comprehensive course is meticulously designed to prepare you for the International Certified CAATs Practitioner (ICCP) designation, a prestigious certification that demonstrates your foundational knowledge and skills in CAATs.

Empower your auditing career with AI-driven smart auditing.

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.

Build Practical AI Auditing Skills — From Learning to Certification

The AI Audit Analytics & ICCP Certification Package is a QAS Self-Study learning package designed for professionals who want to build practical skills in AI Auditing, CAATs, and audit analytics — without requiring programming experience.

The package brings together 8 structured self-study courses, 90-day access to JCAATs AI Audit Software, CPE credits, and the ICCP examination in one integrated learning pathway.

Participants progress from data integration and validation to audit analytics, data matching, reporting, text mining, machine learning, and date-based analysis, with an emphasis on practical, real-world audit applications.

Participants may earn up to 16 NASBA-approved CPE credits and up to 16 ICAEA-recognized CPE credits upon successful completion of the applicable course requirements.

Hands-On JCAATs Software Included

The package includes 90-day access to JCAATs AI Audit Software for training and hands-on practice, enabling participants to apply the techniques introduced throughout the courses using practical audit exercises and datasets.

Learn the concepts. Practice with JCAATs. Earn CPE. Prepare for ICCP certification.

Important: The ICCP Certification Exam is included in the package. Participants must complete the ICCP Certification Exam within 90 days from the date of purchase.

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: