Certified Internet of Things Practitioner (CIoTP™) Training Course

Breakthroughs in computing and engineering are propelling technological advancement, spanning from blockchain and artificial intelligence to gene editing and the Internet of Things. These innovations present significant opportunities for enhancing productivity and improving human well-being. However, as recent high-profile incidents demonstrate, they also introduce novel risks. Technology professionals are under growing pressure to address ethical challenges, striving to balance privacy, accuracy, fairness, and safety. This course equips learners with practical tools to manage ethical risks associated with emerging data-driven technologies, integrating theoretical foundations, regulatory frameworks, and industry best practices. Participants will develop the capabilities needed to navigate ethical dilemmas within their professional roles and organizations.

This course explores network defense and incident response methodologies, 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 ideal for candidates tasked with monitoring and detecting security incidents in information systems and networks, and executing standardized responses. The course introduces tools, tactics, and procedures to manage cybersecurity risks, identify common threats, evaluate organizational security, collect and analyze cybersecurity intelligence, and remediate and report incidents as they occur. This course provides a comprehensive methodology for individuals responsible for defending the cybersecurity of their organization.

This course is designed to assist students in preparing for the CertNexus CyberSec First Responder (Exam CFR-310) certification examination. The knowledge and practice gained in this course can significantly aid in 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 understand, assess, and respond to security threats and 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 preparation 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 designed primarily for cybersecurity practitioners 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) operation and incident handling. This course focuses on the knowledge, ability, and skills necessary to provide for the defense of those 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 the cyber defense, incident response, and incident handling process.

Artificial intelligence (AI) and machine learning (ML) have become indispensable tools for many organizations. When utilized effectively, these technologies provide actionable insights that drive critical decisions and enable the creation of exciting, innovative new products and services. This course demonstrates how to apply various approaches and algorithms to solve business problems using AI and ML, follow a systematic workflow to develop robust solutions, leverage open-source and off-the-shelf tools to build, test, and deploy those solutions, and ensure user privacy is protected. Each topic area includes hands-on activities.

Course Objectives: By the end of this course, you will be able to implement AI techniques to solve business problems. You will:

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

Target Audience: The skills covered in this course converge on three areas—software development, applied math and statistics, and business analysis. Ideal students may be strong in one or two of these areas and seek to expand their skills in the others, enabling them to apply artificial intelligence (AI) systems, particularly machine learning models, to business problems.

Consequently, 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 possesses strong skills in applying math and statistics to business problems but aims to develop technology skills related to machine learning. A typical student 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 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 programme is tailored for professionals aiming to demonstrate a vendor-neutral, cross-industry skill set that empowers them to design, implement, operate, and manage a secure IoT ecosystem.

Target Audience: This course is ideal for IoT practitioners looking to enhance their skills and knowledge of IoT security and privacy. It is also designed for individuals seeking the CertNexus Certified Internet of Things Security Practitioner (CIoTSP) certification and preparing for Exam ITS-110.

Course Objectives:

In this course, you will identify common risks associated with using standard end-user technology and learn strategies to use it safely, thereby protecting yourself from those risks.

You will be able to:

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

Target Audience

This course is tailored for non-technical end users of computers, mobile devices, networks, and the Internet. It aims to enable you to utilize technology more securely, minimizing digital risks.

Additionally, this course prepares you for the Certified CyberSAFE credential. Upon completing the course presentation, you can obtain your Certified CyberSAFE certificate by completing the credential process on the CHOICE platform.