CERTIFIED ETHICAL EMERGING TECHNOLOGIST (CEET) Training Course

This program focuses on network defense strategies and incident response methodologies, aligned with industry standards including NIST 800-61 r.2 (Computer Security Incident Handling), US-CERT’s NCISP (National Cyber Incident Response Plan), and Presidential Policy Directive (PPD) 41 regarding Cyber Incident Coordination Policy. It is tailored for professionals responsible for monitoring and detecting security events in information systems and networks, as well as executing standardized response protocols. Participants will learn to manage cybersecurity risks, identify common threat types, evaluate organizational security postures, collect and analyze cybersecurity intelligence, and remediate and report incidents effectively. This course offers a comprehensive methodology for individuals tasked with defending their organization's cybersecurity infrastructure.

Designed to aid candidates in preparing for the CertNexus CyberSec First Responder (Exam CFR-310) certification, the skills and practices acquired here form a significant component of your exam preparation. Furthermore, this course and the subsequent CFR-310 certification fulfill all requirements for personnel needing DoD directive 8570.01-M position certification baselines:

• CSSP Analyst

• CSSP Infrastructure Support

• CSSP Incident Responder

• CSSP Auditor

Course Objectives: Throughout this course, you will gain the ability to understand, assess, and respond to security threats while operating a system and network security analysis platform. Specifically, you will:

• Compare and contrast various threats and classify threat profiles

• Explain the purpose and application of attack tools and techniques

• Explain the purpose and application of post-exploitation tools and tactics

• Explain the purpose and application of social engineering tactics

• Given a scenario, conduct ongoing threat landscape research and utilize data to prepare for incidents

• Explain the purpose and characteristics of various data sources

• Given a scenario, employ appropriate tools to analyze logs

• Given a scenario, use regular expressions to parse log files and extract meaningful data

• Given a scenario, use Windows tools to analyze incidents

• Given a scenario, use Linux-based tools to analyze incidents

• Summarize methods and tools used for malware analysis

• Given a scenario, analyze common indicators of potential compromise

• Explain the importance of best practices in incident response preparation

• Given a scenario, execute the incident response process

• Explain the importance of concepts unique to forensic analysis

• Explain general mitigation methods and devices

Target Audience: This course is primarily designed for cybersecurity practitioners who are preparing for or currently performing job functions related to protecting information systems by ensuring their availability, integrity, authentication, confidentiality, and non-repudiation. It is ideal for roles within federal contracting companies and private sector firms whose mission or strategic objectives require the execution of Defensive Cyber Operations (DCO) or DoD Information Network (DODIN) operations and incident handling. The course emphasizes the knowledge, abilities, and skills necessary to defend these information systems in a cybersecurity context, including protection, detection, analysis, investigation, and response processes.

Additionally, the course ensures that all IT team members—regardless of size, rank, or budget—understand their role in cyber defense, incident response, and incident handling.

The Internet of Things (IoT) offers extensive advantages for industries, energy and utility sectors, municipal bodies, healthcare providers, and end consumers. It enables the collection of vast quantities of detailed data on nearly any measurable aspect, including public health and safety, environmental conditions, industrial and agricultural output, energy usage, and utility management. Advanced data analysis tools have been refined to handle the massive datasets generated by IoT, facilitating rapid, informed decision-making.

However, deploying IoT systems can be complex and presents significant challenges. Solutions often involve devices and technologies from various vendors, necessitating a solid grasp of hardware and software integration strategies, as well as the security, privacy, and safety risks associated with systems that manage people's work and living environments.

IT professionals may lack experience with embedded systems, sensor networks, actuators, real-time systems, and other common IoT components. This course establishes a foundation for understanding how these components interact with systems that IT professionals typically know better, such as networks, cloud computing platforms, and applications running on servers, desktops, and mobile devices.

Through case studies and hands-on assembly of an IoT device within a sensor network, students will learn general strategies for planning, designing, developing, implementing, and maintaining IoT systems. Learners will build an IoT device based on an ESP8266 microcontroller, incorporating standard IoT features such as analog and digital sensors, a web-based interface, MQTT messaging, and data encryption.

Course Objectives: In this course, you will learn to apply Internet of Things technologies to address real-world problems. You will:

• Plan an IoT implementation.

• Construct and program an IoT device.

• Communicate with an IoT device using wired and wireless connections.

• Process sensor input and control an actuator on an IoT device.

• Manage security, privacy, and safety risks in IoT projects.

• Oversee an IoT prototyping and development project across its entire lifecycle.

Target Student: This course is designed for IT professionals with foundational skills in computer hardware, software support, and development who wish to learn how to design, develop, implement, operate, and manage Internet of Things devices and related systems. It is ideal for students interested in exploring embedded systems, microcontroller programming, IoT security, and the development lifecycle for IoT projects.

While students will gain hands-on experience assembling a prototype IoT device and using software development tools, these activities are closely guided, so prior experience in electronics assembly and programming is not required. This course prepares students to take the CertNexus Certified Internet of Things (IoT) Practitioner exam (ITP-110).

Artificial intelligence (AI) and machine learning (ML) have become essential components of the toolset for many organizations. When utilized effectively, these technologies provide actionable insights that drive critical decision-making and empower organizations to develop exciting, new, and innovative products and services. This course demonstrates how to apply various approaches and algorithms to resolve business challenges through AI and ML, follow a systematic workflow to create robust solutions, leverage open-source and off-the-shelf tools to develop, test, and deploy those solutions, and ensure user privacy is protected. The course incorporates hands-on activities for each topic area.

Course Objectives: In this course, you will implement AI techniques to address business problems. You will:

• Define a general approach to solve a specific business problem using applied AI and ML.
• Gather and refine a dataset to prepare it for training and testing.
• Train and tune a machine learning model.
• Finalize a machine learning model and present the results to the relevant audience.
• Construct linear regression models.
• Construct classification models.
• Construct clustering models.
• Construct decision trees and random forests.
• Construct support-vector machines (SVMs).
• Construct artificial neural networks (ANNs).
• Advocate for data privacy and ethical practices within AI and ML projects.

Target Student: The skills covered in this course converge on three areas—software development, applied mathematics and statistics, and business analysis. Target students for this course may be strong in one or two of these areas and looking to round out their skills in the other areas, so they can apply artificial intelligence (AI) systems, particularly machine learning models, to business problems.

So the target student may be a programmer looking to develop additional skills to apply machine learning algorithms to business problems, or a data analyst who already has strong skills in applying math and statistics to business problems, but is looking to develop technology skills related to machine learning. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus® Certified Artificial Intelligence (AI) Practitioner (Exam AIP-110) certification.

This course is designed for professionals such as software developers, testers, and architects involved in creating software using various programming languages and platforms, including desktop, web, cloud, and mobile. It aims to enhance their ability to produce high-quality software, with a specific focus on security and privacy aspects.

This course is tailored for professionals aiming to validate a vendor-neutral, cross-industry competency set that empowers them to design, implement, operate, and/or manage a secure Internet of Things (IoT) ecosystem.

Target Audience: This program is intended for IoT practitioners seeking to enhance their expertise in IoT security and privacy. It also supports individuals preparing for the CertNexus Certified Internet of Things Security Practitioner (CIoTSP) certification, specifically for Exam ITS-110.

Objectives:

In this course, you will identify many of the common risks involved in using conventional end-user technology, as well as ways to use it safely, to protect yourself from those risks.

You will:

• Pinpoint security compliance measures.
• Handle social engineering attempts.
• Secure devices such as desktops, laptops, tablets, smartphones, and more.
• Use the Internet securely.

Target Student

This course is designed for you as a non-technical end user of computers, mobile devices, networks, and the Internet, to enable you to use technology more securely to minimize digital risks.

This course is also designed for you to prepare for the Certified CyberSAFE credential. You can obtain your Certified CyberSAFE certificate by completing the Certified CyberSAFE credential process on the CHOICE platform following the course presentation.