Description
This course provides an overview of key technologies transforming accounting and finance. It covers Artificial Intelligence (AI) and its applications in accounting software, blockchain for secure transactions, and Robotic Process Automation (RPA) to streamline operations. Participants will also explore crypto assets and their impact on accounting, alongside the role of forensic accounting in fraud detection. The course concludes with a two-part focus on cybersecurity, addressing both foundational principles and advanced practices for protecting financial data.
Chapter 1 – Introduction to Artificial Intelligence
This chapter provides an overview of the basics of AI, including the key concepts related to AI such as machine learning, deep learning, and Natural Language Processing. This chapter provides a discussion of how AI has evolved from its early beginnings. This chapter also provides a discussion of how AI and automation can be used in the accounting profession.
Chapter 2 – AI Technologies in Accounting Software
This chapter provides an overview of how AI is reshaping accounting software, streamlining tasks, improving accuracy, and offering advanced analytics. It covers key AI-driven features like automated data entry, intelligent invoice processing, predictive analytics, fraud detection, risk assessment, and natural language processing. In this chapter, we’ll also explore example case studies which illustrate AI’s effectiveness in automating processes.
Chapter 3 – Blockchain
This chapter provides an overview of blockchain technology and some of its implications for the accounting profession. It covers the fundamentals of blockchain, its applications in accounting, and the potential benefits and challenges. The chapter is designed for CPAs and accounting professionals seeking to better understand blockchain technology and how it can be used to potentially enhance their accounting processes.
Chapter 4 – Robotic Process Automation
This chapter provides an overview of the basics of Robotic Process Automation (RPA). This includes a discussion of the key benefits as well as some of the implementation challenges associated with RPA. This chapter provides several examples of how RPA can be used in organizations as well as some of the top providers of RPA technology.
Chapter 5 – Crypto Assets
This chapter provides an overview of the accounting and financial reporting requirements with respect to crypto assets. This includes a discussion of the types of assets that are within the scope of the guidance for crypto assets along with recognition, presentation, and disclosure requirements.
Chapter 6 – Forensic Accounting
This chapter offers a comprehensive overview of forensic accounting, covering the standards guiding these professionals, the essential qualifications, and the experience necessary for success in this field. Additionally, this chapter also outlines a basic five-step process designed to facilitate thorough and meticulously documented engagements, supplemented with examples of the techniques employed by forensic accountants.
Chapter 7 – Cybersecurity Principles
This chapter provides you with some of the essential knowledge and skills to protect sensitive financial data from cyber threats. It covers the fundamentals of cybersecurity, detailing prevalent threats and their impact on individuals and organizations.
Chapter 8 – Cybersecurity Best Practices
This chapter focuses on the importance of cybersecurity best practices in protecting digital assets and privacy. It highlights proactive measures like encryption, access controls, software updates, and employee training to defend against evolving cyber threats
