NC State University 
2021 – 2025 B.S. in Computer Science
Focus: Security
Minor: Criminology
Relevant Courses:
- Artificial Intelligence (Graduate Level)
- Data Structures & Algorithms
- Data Science in Cybersecurity
- Software Engineering
More courses…
- Operating Systems
- C/Software Tools
- Calculus III
- Network Security
- Cryptography
- Computer Security
- Automated Learning & Data Analysis
- Cybersecurity Topics
IBM 
November 2025 IBM Mainframe Developer
Throughout the IBM Mainframe Developer program, learners complete hands-on labs and developed skills in relation to IBM, COBOL, and mainframe computing. Learners gain experience with fundamental elements of COBOL code, software development lifecycle (SDLC), system analysis concepts, and a wide variety of topics designed to provide relevant, requisite working knowledge and practical experience
Harvard Online 
May 2024 Large Language Models: Application through Production
This course is aimed at developers, data scientists, and engineers looking to build LLM-centric applications with the latest and most popular frameworks. By the end of the course, students have a production-ready end-to-end LLM workflow.
Students in this course learn to…
- use Hugging Face to solve natural language processing (NLP) problems
- leverage LangChain to perform complex, multi-stage tasks
- deep-dive into prompt engineering
- use data embeddings and vector databases to augment LLM pipelines
- fine-tune LLMs with domain-specific data to improve performance and cost, as well as identify the benefits and drawbacks of proprietary models.
- assess societal, safety, and ethical considerations of using LLMs
- deploy models at scale, leveraging LLMOps best practices
Harvard Online May 2024 CS50’s Introduction to Programming with Python
This course is an introduction to programming using Python, for general-purpose programming, data science, web programming, and more. It spans how to read and write code, as well as how to test and “debug” it. Exercises inspired by real-world programming problems, and there are many opportunities for hands-on practice.
Students in this course learn how to…
- read and write functions, arguments, and return values; variables and types; conditionals and Boolean expressions; and loops.
- handle exceptions, find and fix bugs, and write unit tests
- use third-party libraries
- validate and extract data with regular expressions
- model real-world entities with classes, objects, methods, and properties
- read and write files.
DeepLearning.AI & Stanford Online 
May 2024 Supervised Machine Learning: Regression and Classification
This course is an introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and some of the best practices used in Silicon Valley for artificial intelligence and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.)
Students in this course…
- Build machine learning models in Python using popular machine learning libraries NumPy and scikit-learn
- Build and train supervised machine learning models for prediction and binary classification tasks, including linear regression and logistic regression
Google 
May 2023 Foundations of Cybersecurity
This course introduces the cybersecurity profession, including the primary job responsibilities and core skills of entry-level analysts; significant events that led to the development of the cybersecurity field; and security’s continued importance to organizational operations. Learners will also explore the Certified Information Systems Security Professional (CISSP) eight security domains, common security frameworks and controls, as well as the confidentiality, integrity, and availability (CIA) triad.
Students in this course…
- Identify how security attacks impact business operations.
- Explore the job responsibilities and core skills of an entry-level cybersecurity analyst.
- Recognize how past and present attacks on organizations led to the development of the cybersecurity field.
- Learn the CISSP eight security domains.
- Identify security domains, frameworks, and controls.
- Explain security ethics.
- Recognize common tools used by cybersecurity analysts.
National Center for Biomedical Research and Training 
July 2022 Fundamentals of Criminal Intelligence
This awareness-level course introduces participants to, and distinguishes between, intelligence and information. It encompasses traditional crimes and domestic and international acts of terrorism. The goal is to ensure participants leave equipment with the knowledge and skills to effectively participate in and contribute to the criminal intelligence enterprises within their agencies.
This course covers:
- the Intelligence Community
- responsibilities of participants
- goals and uses of criminal intelligence products
- the Information Sharing Environment
- suspicious activity reporting
- legal authorities and guidance associated with criminal intelligence collection and us, including privacy, civil rights, and civil liberties law
- the benefits of forming strategic partnerships and collaborative networks
Rice University 
February 2021 An Introduction to Interactive Programming in
Python (Part 1)This two-part course is designed to teach students with very little computing background the basics of building simple interactive applications. Part 1 introduces the basic elements of programming (such as expressions, conditionals, and functions) and how to use these elements to create simple interactive applications such as a digital stopwatch. The class culminates in building a version of the classic arcade game “Pong”.
After this course, students will be able to…
- Perform basic Python programming principles
- Explore Python Syntax and Semantics
- Program simple games
International Open Academy 
March 2020 Criminal Psychology Course
This course takes a deep dive into the world of Criminal Psychology and explores the criminal mind. It covers the motivations behind criminal acts, the types of crime and the behaviors and reactions of the criminals behind them.
Topics addressed:
- The science and psychology that supports criminology.
- Criminal theory & the justice system
- Impartiality, professionalism and conduct
- Bias, how to avoid it and be culturally competent
- Tools and abilities to carefully consider theories
