DRM Development, Inc.

Modern Financial Fraud Investigation: How Python and LLMs Are Revolutionizing Legal Discovery In today’s digital age, accounting fraud has become increasingly sophisticated. However, legal teams now have powerful allies in their investigative arsenal: Python programming and Large Language Models (LLMs). Let’s explore how these technologies are transforming the way law firms detect and investigate financial irregularities. The Traditional Challenge Historically, investigating financial fraud meant manually sifting through thousands of documents, spreadsheets, and email communications. Legal teams would spend countless hours looking for: Read more... https://lnkd.in/gkPRmzmN

The Evolution of Crime Pattern Prediction: AI vs Traditional Methods In recent years, the field of criminology and law enforcement has seen a significant shift in how crime patterns are predicted and analyzed. The advent of artificial intelligence (AI) has revolutionized this process, offering more efficient and accurate methods compared to traditional approaches. This article examines how AI is transforming crime prediction and its advantages over older techniques. Read more... https://lnkd.in/gis-83cd

The Critical Role of Digital Forensics in Modern Criminal Investigations In today’s increasingly digital world, criminal activities have evolved to include a significant technological component. As a result, digital forensics has become an indispensable tool in the arsenal of law enforcement agencies and legal professionals. This article explores the crucial role of digital forensics in criminal cases and its impact on the justice system. Read more... https://lnkd.in/guvgYpZN

I will be presenting the July 8 - July11 2024 Online Training Session for ONLC. See the full outline at: https://lnkd.in/g4fn6SAS C# Programming Level 1: Introduction for Non-Programmers This is an introductory programming course provides a strong foundation that would allow students to further their skills with additional education. This course describes how to use the Visual Studio environment, and how to write good syntax in code constructs within that environment. In addition, important object-oriented concepts will be introduced. Audience Profile This course is intended for both novice programmers and more experience programmers looking to get familiar with C# and object-oriented principles. At Course Completion After completing this course, students will be able to: ? Comfortably navigate the Visual Studio environment ? Visually design, code, and test a Windows Forms Application ? Understand data types and choose when different types are appropriate ? Use code structures such as conditional statements and loops ? Create methods and handle events ? Utilize Arrays and Collections ? Respond to runtime errors and validate user data ? Create and use classes ? Utilize inheritance ? Understand the basics of database connectivity ? Use ADO.NET to write custom data access code (If Time Permits) Prerequisites Before attending this course, it is recommended that students: ? Have comfort in navigating around a Windows computer system ? Prior programming experience is not required, but helps provide some perspective If you have prior programming experience, you should consider our regular Introduction to C# course. For details on this alternative faster paced course for programmers course, go to How to design a Windows Forms Application Visual Studio Options and Settings Creating new projects How to code and test a Windows Forms Application Introduction to object-oriented programming Properties, methods, and events and more... How to Work with Numeric and String Data Built-in value types Declaring and initializing variables and constants and more... How to code control structures Boolean expressions Conditional statements Loops How to code methods and event handlers Coding and calling methods Parameterizing methods Refactoring code into a method and more... How to handle exceptions and validate data How exceptions work Structured exception handling Validating data How to use Arrays and Collections 1-dimesional, multi and jagged arrays Collections Object-Oriented Programming How to create and use classes Introduction to classes Adding classes to a project and more... How to work with Inheritance How inheritance works Creating base and derived (sub) classes Polymorphism Database Programming An introduction to database programming Components of a client/server system and more...

The Essential AI Workbench: Python + GitHub + Copilot X + Visual Studio Code Course

Next class: June 20 10 EST - 4:45 EST https://lnkd.in/ec3XFPnV The Essential AI Workbench: Python + GitHub + Copilot X + Visual Studio Code Course Outline Our 1-day AI Workbench (Python / Copilot X / VS Code) course is designed for non-programmers who want to dive into AI development. You'll learn how to implement and debug AI code using generative AI systems like ChatGPT and Github Copilot X, and the widely-used AI support language Python. We'll guide you through setting up your integrated developer's environment with Visual Studio Code and Copilot X, and show you how to identify what the programs are doing and how to fix them if there is a problem. Best of all, you don't need to be a programmer - you can simply cut and paste code or accept suggestions from the AI. By taking this course, you'll be able to customize AI solutions and follow along with examples at OpenAI, Huggingface, or thousands of YouTube videos. Imagine the possibilities - from building your own chatbot to analyzing data for your business, AI is a game-changer. Enroll now and take the first step toward becoming an AI developer! COURSE OUTLINE VISUAL STUDIO CODE INTRODUCTION Getting Started with Visual Studio Code Setup Extensions Customization Basic Tips and Tricks Status Bar Extensions Files and folders IntelliSense Git integration Debugging User Interface Basic Layout Explorer Open Editors Views Command Palette Tabs PYTHON INTRODUCTION Learn Python basics, including the following elements: Boolean types Strings Mathematical operations Lists and loops Dictionaries Functions Use strings in Python String basics in Python String methods in Python Use mathematical operations in Python What are operators in Python? Exercise - Use arithmetic operators Work with numbers in Python Introduction to lists in Python Introducing lists Exercise - Create and use Python lists Work with numbers in lists Manipulate list data Use 'while' and 'for' loops in Python About 'while' loops Exercise - Create a 'while' loop Use 'for' loops with lists Manage data with Python dictionaries Introducing Python dictionaries Exercise - Create Python dictionaries Dynamic programming with dictionaries Exercise - Dynamic programming with dictionaries Python functions Basics of Python functions Use function arguments Use keyword arguments Use variable arguments GITHUB COPILOT X INTRODUCTION Introduction to GitHub Copilot X Signing up for GitHub Copilot for your personal account Signing up for GitHub Copilot for your organization account Installing the GitHub Copilot extension for Visual Studio Code Getting your first suggestion About GitHub Copilot and Visual Studio Code Installing Visual Studio Code Extension Seeing your First Suggestion Seeing Alternative Suggestions Seeing multiple suggestions in a new tab Generating Code suggestions from Comments Enabling/Disabling GitHub Copilot Configuring GitHub Copilot Github Settings In Your Environment Organizational Settings

Google Analytics Introduction Course Outline Overview This 2-day class on Google Analytics GA4 is designed specifically for beginners with little to no prior experience in web analytics. The course aims to introduce participants to the fundamentals of Google Analytics GA4, enabling them to understand and utilize its features to analyze website traffic, user engagement, and overall performance. By the end of the class, participants will have a solid foundation in navigating the GA4 interface, understanding reports, and making data-driven decisions to improve online presence. Goals 1. Understand the Basics: Learn what Google Analytics GA4 is, its importance, and how it differs from previous versions. 2. Navigate the Interface: Become familiar with the GA4 interface, including the dashboard, reports, and real-time data views. 3. Understand Data Collection: Gain insights into how GA4 collects and processes data. 4. Learn About Reports: Understand the various reports available in GA4, how to interpret them, and apply insights to your digital strategy. 5. Event Tracking and Conversions: Learn how to set up and track events and conversions to measure specific objectives. 6. Audience Analysis: Discover how to analyze audience data to better understand your website visitors. 7. Apply Segmentation and Filters: Learn how to use segmentation and filters to refine your data analysis. 8. Privacy and Compliance: Understand the basics of data privacy, consent management, and how GA4 addresses these issues. 9. Implement GA4: Learn the steps to set up a GA4 property from scratch. 10. Actionable Insights and Reporting: Understand how to derive actionable insights from data and create custom reports. Course Outline Understanding GA4 - Introduction to Google Analytics and GA4 - Differences between Universal Analytics and GA4 - Overview of GA4 Interface - Setting up a GA4 Account and Property Data Collection and Basic Reporting - How GA4 Collects Data - Introduction to GA4 Reports - Real-time reports - User engagement reports - Acquisition reports - Basic Configuration - Events - Conversions - Audiences Reporting and Analysis - Deep Dive into GA4 Reports - Event and conversion tracking - Audience analysis - Custom reports and insights - Segmentation and Filters in GA4 Implementation and Best Practices - Setting Up and Tracking Events and Conversions - Understanding Data Privacy and Compliance in GA4 - GA4 Implementation Checklist https://lnkd.in/gsNV-SWK