CPE Catalog & Events

The major topics that will be covered in this course include:Utilizing ChatGPT for IRS Tax Law Research: Principles and PracticesNavigating IRS Databases Using Advanced AI TechniquesUsing IRS Prompt Templates: In-depth Analysis and ApplicationChatGPT in Action: Case Studies and Real-World ScenariosExploring IRS Tax Laws: Strategies, Loopholes, and ComplianceError Prevention and Correction in Tax Law ResearchFuture Trends: AI's Evolving Role in Taxation and Accounting

The major topics that will be covered in this course include:Accounting as a foreign languageCommonly misunderstood conceptsCommunicating tax mattersClient-practitioner interactionsInteracting with tax authorities

The major topics that will be covered in this course include:Yellow Book engagements.Independence requirements in GAGAS.Quality management in Yellow Book. Common deficiencies found in Yellow Book engagements.

The major topics that will be covered in this class include:The foundational ethical principles CPAs are required to follow and how these principles apply to audit quality, data privacy and security, and the use of emerging technologies.The profession's need to change to meet its ethics standard in a technology-centric environment.Changes being considered by the AICPA and the National Association of State Boards of Accountancy that could impact the profession.

Challenges of marketing CPA firms Developing marketing strategy  Elements of a marketing plan Example: CPA firm marketing plan Marketing regulatory/AICPA issues Picking the right marketing channels  Marketing channel statistical analysis  Developing marketing metrics

Practice reviewing financial statements Financial statement case studies

The major topics covered in this class include:How is business changing.What is driving the change and how long will it last.How specifically is an organizations control system important.What steps are needed to “keep up” with the upheaval.

Proper planning of benefit plan audit engagements and developing audit strategy while improving overall efficiency Common pitfalls in planning and detailed audit procedures Changes affecting 401(k) plans, including recently issued SASs Common mistakes as noted in peer reviews and DOL inspections

The major topics that will be covered in this course include:Fundamentals of machine learning and AI algorithmsHow generative AI models like ChatGPT functionPractical examples of generative AI in accounting, finance and taxKey terminologies and concepts simplifiedAI Agents for process automation

The major topics that will be covered in this course include:Complex and nuanced communications related to:Budget Allocation and Negotiation TechniquesCompensation and Benefits StructuringManaging Financial Performance and LayoffsFinancial and HR Aspects of Mergers and AcquisitionsRegulatory Compliance and Ethical Financial PracticesStrategies for Financial Crisis ManagementEffective Performance Management Systems

The major topics that will be covered in this class include:Excel Tables: Master the use of Excel tables for efficient data management, including sorting, filtering, and structured references, to manage  data more effectively.Custom Sorting: Get to grips with custom sorting options to organize data in a way that best suits your needs, enhancing data readability and analysis.XLOOKUP: Discover the power of XLOOKUP for advanced data retrieval, a game-changer for complex analysis, allowing you to extract specific data from extensive datasets with ease.SUBTOTAL: Gain proficiency in using the SUBTOTAL function, a versatile tool for calculating data in visible cells, ideal for analyses that require dynamic calculations.SUMIF(S): Explore the functionality of SUMIF and SUMIFS functions for conditional summing, crucial for precise budgeting, expense tracking, and financial reporting.Array Formulas: Dive into array formulas to perform multiple calculations on one or more items in an array, enhancing the efficiency of complex accounting computations.Data Validations: Learn to implement data validations to ensure data integrity and prevent errors in financial data entry, a critical skill for maintaining accurate accounting records.Slicers: Learn to use slicers for interactive data segmentation in tables and PivotTables, enabling accountants to quickly filter and analyze specific subsets of financial data.Conditional Formatting: Understand how to apply conditional formatting to highlight critical financial data points, trends, and variances, making data analysis and interpretation more intuitive.PivotTables: An introduction to PivotTables, one of the most powerful Excel features, for summarizing, analyzing, and presenting large sets of financial data in a digestible format.

The major topics covered in this class include:Examination of actual fraudsDiscussion of internal controls that could have prevented the fraudsContemplation of epiphanies for your own professional scenarios

The major topics that will be covered in this course include:The role of methods of proof in forensic accounting.The various types of methods of proof approved by the courts.The weakness and strengths of the methods of proof.The formulas in calculating methods of proof.Applying the formulas in various circumstances.

The major topics that will be covered in this course include:Introduction to GAAP and IRC FrameworksKey Differences Between Financial Reporting and Tax ReportingUnderstanding Timing DifferencesRecognition of Revenue and Expenses Under GAAP vs. IRCDiscussion of Deferred Tax AssetsImpact of Deferred Tax LiabilitiesPermanent vs. Temporary DifferencesReconciliation of Book Income to Taxable Income

Fraud risk management Fraud risk assessments Data analytics Fraud risk management tools

The major topics that will be covered in this course include:Ways in which data and information can be misleadingCommon pitfalls when encountering dataHow to re-evaluate the data to avoid those pitfalls

The major topics that will be covered in this class include:Data Modeling Essentials: Understanding the core concepts of data modeling in Power BI, including integration of various data sources.Building Relationships: Techniques to establish and manage relationships between different data sets.Calculated Columns and Basic DAX Measures: Introduction to DAX (Data Analysis Expressions) and its application in creating calculated columns and basic measures.Calculated Columns vs Measures: Insights into when to use calculated columns and when to opt for measures.Explicit vs Implicit Measures: Understanding the difference and appropriate application of explicit and implicit measures in data analysis.Hierarchies in Data: Creating and utilizing hierarchies to enhance data analysis and reporting.Using Pivot Tables to Validate Measures: Practical skills in using pivot tables within Power BI to validate and refine measures.

Federal non-compete law State non-compete law

The major topics that will be covered in this course include:Building a high-performing team comprised of multi-generational workers.How to effectively communicate with the millennial worker.Leveraging younger staff in business development opportunities.Measuring the productivity of a millennial workforce.

Review of the current legal and regulatory framework surrounding non-compete agreements Enforcement of non-compete agreements from the employer’s perspective Opposing enforcement of non-compete agreements from the employee’s perspective Understanding reasonable geographic scope and time limitations for non-compete agreements Understanding key issues that arise during enforcement and opposition to enforcement of non-compete agreements