Business Applications of AI 10156122

Explores the use of AI in modern business environments, focusing on practical applications such as predictive analytics, customer relationship management, and automation. Students will analyze real-world case studies, assess the benefits and challenges of integrating AI into business operations, and explore AI-powered business tools and platforms.

Business Continuity 10151110

Introduces learners to the proper execution of Business Continuity Planning and Disaster Recovery. It is the payoff for cost-effective buying of spare machines and servers, performing backups and bringing them off-site, assigning responsibility, performing drills, educating employees and being vigilant. Upon completion of this material, the learner will be able to: list the elements of Business Continuity (BC), identify who should be included in the BC team, describe the methodology used to construct the Business Continuity Policy and Plan.

Cloud Security 10151118

Examines the foundational concepts and practices used to secure cloud environments. Learners explore shared responsibility, identity and access management, data protection, and incident response to strengthen confidentiality, integrity, and availability in cloud environments.

Cryptography 10151107

Examines both the practical and conceptual skills that build the foundation for understanding Cryptography technologies including: use of Cryptography technology, symmetric and asymmetric cryptography, hashing, and digital signatures. Learner will gain familiarity with the Cryptography technologies as related to Authentication, Integrity, Confidentiality and Non-Repudiation.

Data Concepts 1 10156131

Data Concepts 2 10156132

Data Mining & Predicitve Analytics 2 10156111

Employs RapidMiner, R, and Orange software packages in order to explore text mining using classification algorithms. Uses k-nearest neighbor and decision trees to further explore classification on structured data. Lastly, learners evaluate time series data using forecasting algorithms. Learners demonstrate their findings via PowerPoint and short video presentations.

Data Mining & Predictive Analytics 1 10156109

Employs RapidMiner, R, and Orange software packages in order to facilitate exploration of clustering, association, and text mining algorithms. Learners import a variety of data and use the algorithms in the various software products to extract meaningful information. Learners demonstrate their findings via PowerPoint and short video presentations.

Data Mining & Predictive Analytics 3 10156115

Employs Python, Excel, R, and other GUI software to explore a variety of algorithms that fall under the umbrella of predictive analytics and data mining. Learners derive meaning from data using neural networks. Learners apply statistical models including linear and logistic regression. Lastly, learners evaluate data using Naïve Bayes and Bayesian Networks. Learners demonstrate their findings via PowerPoint and short video presentations.

Data Visualizations 1 10156113

Design charts, graphs, dashboards, and other visualizations with an understanding of color and chart type. Learners use the appropriate types of chart based on the data that is being presented and the audience that is viewing the presentation and also build charts for the purpose of exploratory data analysis.

Data Visualizations 2 10156117

Builds on Data Visualizations 1 and emphasizes choosing proper charts for quantitative and time-series analysis. Learners build effective dashboards and tell effective stories based on audience needs and analytical comfort. Learners contrast the ways in which data visualization can be used to tell truthful and untruthful stories.

Ethics and Implications of AI 10156123

Examines the ethical, legal, and societal implications of artificial intelligence (AI). Students will explore issues such as bias in algorithms, data privacy, and the broader impact of AI on employment and social structures and will utilize frameworks for ethical AI development and deployment, emphasizing responsible data-driven decision making.

Firewall 10151106

Examines both the practical and conceptual skills that build the foundation for understanding Firewall technologies including: most common firewall types, use of host-based software firewall technology and network hardware firewall technology. Learner will gain familiarity with firewall technologies as related to software and hardware layered approach as well as firewall rules, understanding network protocols related to firewall technology, and vendor/firewall selection.

Footprinting And Social Engineering 10151101

Investigate how attackers gather passive information about their target from social media, search engines, various websites, etc. As a security professional you will learn the tools that attackers use to gather information and the counter-measures to reduce the likelihood of success of the attack.

Foundations of Data Engineering 10156124

Provides a comprehensive introduction to data engineering principles and foundational cloud computing for data. Students will learn to build and maintain scalable data pipelines, process and store large datasets, and implement cloud-based solutions for secure and efficient data management. With a focus on real-world applications, this course explores data ingestion, transformation, and storage strategies using AWS tools. By combining essential cloud computing skills with data engineering techniques, students will develop the expertise needed to support analytics, machine learning, and business intelligence workflows across diverse environments.

Incident Response 10151111

Examines cyber security incidents and response. Learners examine how to react toan incident by exploring its impact and using forensics to investigate the incident.Learners explore proper communication and incident response procedures. Learnersanalyze common cyber incident symptoms.

Introduction to AI 10156121

Introduces the fundamental concepts and history of artificial intelligence (AI), including machine learning, neural networks, large language models and natural language processing. Students will explore AI technologies, review their development over time, and study their impact on society. This foundation will provide students with the necessary framework to understand and work with AI in future courses and professional settings.

Introduction to Python 10156102

Introduces computer programming and terminology in the Python programming language. Special attention is paid to concepts essential to writing basic computer programs. These concepts include: Data Types, Expressions, Loops, File Interaction, Collections, and Functions. Additionally, several tools required to develop Python applications will be explored. Throughout the course learners will develop increasingly complex applications as new topics are introduced.

Introduction to R 10156114

Introduce learners to the foundational concepts of data programming in the open-source language R. Learners explore ways to visualize data, examine data structures, and model the relationship between variables using commands in R. Learners incorporate problem-solving and critical thinking skills as they write commands to support their work with data analysis.

Intrusion Detection Systems 10151108

Examines both the practical and conceptual skills that build the foundation for understanding Intrusion Detection System technologies. the What, Why and Who of IDS is explored, including the features of an IDS verses an IPS. The importance of IDS, IDS technologies, and Packet Capture and Protocols are covered. Learners will analyze and capture network traffic through the use of sniffer tools and programs. Learners capture, view, and analyze network traffic in an attempt to monitor and secure the network. By the end of this course, the learner will have analyzed, applied, and evaluated IDS terminology, technologies, and protocols to secure Network traffic.

Monitoring And Logging 10151109

Examines the monitoring and logging concepts for the security of IT systems and networks. Learners examine security log management challenges, components, guidelines, and operations. Learners examine security audit policy and critical log review concepts.

Programming For Security Pros 10151100

Analyze how as a security professional you need to know how both hackers and security testers use computer programming. Learning the basic skills of programming, you won’t be an expert, but you will have a better idea of how programs are written. This basic programming understanding can help you develop custom security tools for security tests. A security tester should have the skills to modify testing tools.

Python For Cybersecurity 10151117

Explore how attackers infiltrate a system to gather information and data. This course will explore how Python and Python scripts can be used to detect these attacks, and gain knowledge on how to write and use Python scripts to secure systems against cyberattacks.

Python for Data Analytics 10156103

Introduces topics and libraries related to data analytics in the Python programming language. Learners will explore reading, processing, and writing files in native Python. Then they will explore data analytics, processing and visualization using NumPy, Pandas, Matplotlib and Seaborn.

Secure Design 10151114

Explore Secure Design using both standard networked devices and hardware that are designed specifically for security. Learner applies a layered security approach, which can significantly improve security. If only one defense mechanism is in place, an attacker has to circumvent only a single defense. A network with layered security makes it more difficult for an attacker because the attacker must have the tools, knowledge, and skills to break through the various layers. A layered approach also can be useful in resisting a variety of types of attacks.

Security Capstone 10151115

Examines both the practical and conceptual skills that build the foundation for understanding cyber security investigation and analysis including; vulnerability exploits, malware analysis; and hardening of systems to protect against exploitation. Learners will investigate a compromised system and learn to analysis systems to find malicious indicators. By the end of this course, the learner will be able to detect the key areas where an exploitation may reside and use various Windows built-in tools as well as 3rd party tools to detect malicious activity.

Security+ 1 10151103

Introduces the learner to security concepts, tools, and procedures for preventing,mitigating and responding to security incidents. In Security+1, students will examine network security, threats and vulnerabilities, and examine tools for securing systems and troubleshooting problems. Common security issues and mobile security risks will be discussed. Course topics align with the CompTIA Security+ certification.

Security+ 2 10151104

Examines the architectures of security, securing mobile and web applications, cloud and virtualization issues, and account and access control processes. Course topics align with the CompTIA Security+ certification. Further introduces security concepts, tools, and procedures for preventing, mitigating and responding to security incidents.

Security+ 3 10151105

Examines risk and the standard procedures for security, data security, cryptography, and Public Key Infrastructure and processes for mitigation. Building upon security concepts, tools, and procedures for preventing, mitigating and responding to security incidents. Course topics align with the CompTIA Security+ certification.

VPN 10151116

Examines both the practical and conceptual skills that build the foundation for understanding Virtual Private Networks technologies including: history of VPNs, use of VPN technology, types and different platforms of VPNs; VPN configuration and security. Learner will gain familiarity with the protocols used in a virtual private network; and will configure a site to branch VPN. By the end of this course, the learner will have analyzed, applied, and evaluated various VPN technologies and the protocols to secure a Virtual Private Network.

Vulnerability Analysis 10151102

Explore the process to produce a Vulnerability Analysis and Vulnerability Assessment as a security professional. Discover methods for improving security by locating and determining flaws before they are exploited by bad actors. Examine methods to improve security on tested systems and fixing or minimizing the risks posed by these vulnerabilities. Finally, investigate the techniques and best practices for hardening OS and services.