Certified Internet of Things Practitioner (CIoTP™) Training Course

Advances in computing and engineering are driving technological progress, from blockchain and AI to gene editing and IoT, offering opportunities for productivity and human well-being. Yet, these innovations also bring new risks, as recent scandals highlight. Technology professionals face increasing pressure to address ethical concerns, balancing privacy, accuracy, fairness, and safety. This course provides practical tools to manage ethical risks in emerging data-driven technologies, drawing from theory, regulations, and industry practices. Learners will gain skills to navigate ethical dilemmas in their roles and organizations.

This course covers network defense and incident response methods, tactics, and procedures, aligned with industry frameworks such as NIST 800-61 r.2 (Computer Security Incident Handling), US-CERT’s NCISP (National Cyber Incident Response Plan), and Presidential Policy Directive (PPD) 41 on Cyber Incident Coordination Policy. It is designed for professionals tasked with monitoring and detecting security incidents in information systems and networks, as well as executing standardized responses to such incidents. The course introduces tools, tactics, and procedures to manage cybersecurity risks, identify various types of common threats, evaluate the organization's security, collect and analyze cybersecurity intelligence, and remediate and report incidents as they occur. This comprehensive methodology is tailored for individuals responsible for defending their organization’s cybersecurity.

This course is designed to help students prepare for the CertNexus CyberSec First Responder (Exam CFR-310) certification examination. The knowledge and skills gained in this course can significantly contribute to your preparation. Additionally, this course and subsequent certification (CFR-310) meet all requirements for personnel requiring DoD directive 8570.01-M position certification baselines:

• CSSP Analyst

• CSSP Infrastructure Support

• CSSP Incident Responder

• CSSP Auditor

Course Objectives: In this course, you will gain a deep understanding of security threats and learn to operate a system and network security analysis platform. You will:

• Compare and contrast various threats and classify threat profiles

• Explain the purpose and use of attack tools and techniques

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

• Explain the purpose and use of social engineering tactics

• Given a scenario, perform ongoing threat landscape research and use data to prepare for incidents

• Explain the purpose and characteristics of various data sources

• Given a scenario, use appropriate tools to analyze logs

• Given a scenario, use regular expressions to parse log files and locate 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 preparing for incident response

• Given a scenario, execute the incident response process

• Explain the importance of concepts unique to forensic analysis

• Explain general mitigation methods and devices

Target Student: This course is primarily designed for cybersecurity professionals 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. This course focuses on the knowledge, ability, and skills necessary to defend information systems in a cybersecurity context, including protection, detection, analysis, investigation, and response processes.

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

Artificial intelligence (AI) and machine learning (ML) have become indispensable tools for many organizations. When used effectively, these technologies provide valuable insights that drive critical decisions and enable the creation of innovative products and services. This course will guide you through applying various approaches and algorithms to solve business problems using AI and ML, following a systematic workflow to develop robust solutions, utilizing open-source tools to build, test, and deploy those solutions, and ensuring user privacy is protected. The course includes practical activities for each topic area.

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

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

Target Student: The skills covered in this course intersect three key areas—software development, applied mathematics and statistics, and business analysis. This course is designed for individuals who may be strong in one or two of these areas and are looking to enhance their skills in the others, so they can effectively apply artificial intelligence (AI) systems, particularly machine learning models, to solve business problems.

The ideal student might be a programmer seeking to develop additional skills to apply machine learning algorithms to business issues, or a data analyst who already excels at applying math and statistics to business challenges but wants to enhance their technical skills related to machine learning. A typical participant should have several years of experience with computing technology, including some proficiency in computer programming. This course is also designed to help students prepare for the CertNexus® Certified Artificial Intelligence (AI) Practitioner (Exam AIP-110) certification.

This course caters to individuals such as software developers, testers, and architects involved in creating software using different programming languages and platforms like desktop, web, cloud, and mobile. It aims to enhance their capacity to produce software of superior quality, with a special focus on security and privacy aspects.

This course is tailored for professionals aiming to showcase a vendor-neutral, cross-industry skill set that will empower them to design, implement, operate, and manage a secure IoT ecosystem effectively.

Target Student: This course is intended for IoT practitioners who wish to enhance their skills and knowledge in IoT security and privacy. It is also suitable for students pursuing the CertNexus Certified Internet of Things Security Practitioner (CIoTSP) certification and preparing 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:

• Identify security compliance measures.
• Address 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.