Certified Internet of Things Practitioner (CIoTP™) Training Course

Computing and engineering advancements are propelling technological progress—from blockchain and AI to gene editing and IoT—creating opportunities for enhanced productivity and human well-being. However, as recent scandals underscore, these innovations also introduce new risks. Technology professionals are under growing pressure to address ethical concerns, striking a balance between privacy, accuracy, fairness, and safety. This course equips learners with practical tools to manage ethical risks in emerging data-driven technologies, drawing on theory, regulations, and industry best practices. Participants will develop the skills needed to navigate ethical dilemmas within their roles and organizations.

This course explores network defense and incident response methodologies, tactics, and procedures, aligning them with established 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 specifically designed for professionals responsible for monitoring and detecting security incidents within information systems and networks, as well as executing standardized response protocols. The curriculum introduces essential tools, tactics, and procedures to manage cybersecurity risks, identify common threats, evaluate organizational security posture, collect and analyze cybersecurity intelligence, and remediate and report incidents in real-time. By providing a comprehensive methodology, this course empowers individuals tasked with defending their organization’s cybersecurity.

Designed to support candidates preparing for the CertNexus CyberSec First Responder (Exam CFR-310) certification, the knowledge and practical skills gained here form a significant component of your exam preparation. Furthermore, completing this course and obtaining the subsequent CFR-310 certification satisfies all personnel requirements for DoD Directive 8570.01-M position certification baselines, including:

• CSSP Analyst

• CSSP Infrastructure Support

• CSSP Incident Responder

• CSSP Auditor

Course Objectives: Upon completion, you will be able 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

• Conduct ongoing threat landscape research and utilize data to prepare for incidents in given scenarios

• Explain the purpose and characteristics of various data sources

• Apply appropriate tools to analyze logs in given scenarios

• Use regular expressions to parse log files and identify meaningful data in given scenarios

• Utilize Windows tools to analyze incidents in given scenarios

• Utilize Linux-based tools to analyze incidents in given scenarios

• Summarize methods and tools used for malware analysis

• Analyze common indicators of potential compromise in given scenarios

• Explain the importance of best practices in preparing for incident response

• Execute the incident response process in given scenarios

• Explain the importance of concepts unique to forensic analysis

• Explain general mitigation methods and devices

Target Audience: This course is primarily intended 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 particularly suitable for roles within federal contracting companies and private sector firms whose mission or strategic objectives require executing Defensive Cyber Operations (DCO) or managing DoD Information Network (DODIN) operations and incident handling. The course focuses on the knowledge, skills, and abilities necessary to defend information systems in a cybersecurity context, covering protection, detection, analysis, investigation, and response processes.

Additionally, the course ensures that all IT team members—regardless of team 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 components of the modern organizational toolkit. When leveraged effectively, these technologies yield actionable insights that inform critical decision-making and empower organizations to develop exciting, innovative products and services. This course guides you through applying diverse AI and ML approaches to address business challenges, adhering to a structured workflow for developing robust solutions. You will utilize open-source and off-the-shelf tools to build, test, and deploy these solutions while ensuring they uphold user privacy standards. Each topic area is reinforced with practical, hands-on activities.

Course Objectives: Upon completion, you will be able to implement AI techniques to resolve business issues. Specifically, you will:

• Define a comprehensive strategy for addressing a specific business problem using applied AI and ML.
• Gather and refine datasets to prepare them for training and testing phases.
• Train and optimize machine learning models.
• Finalize machine learning models and effectively present results to relevant stakeholders.
• Construct linear regression models.
• Develop classification models.
• Create clustering models.
• Implement decision trees and random forests.
• Build support-vector machines (SVMs).
• Construct artificial neural networks (ANNs).
• Advocate for data privacy and ethical standards within AI and ML initiatives.

Target Student: The competencies covered in this course integrate three core disciplines: software development, applied mathematics and statistics, and business analysis. The ideal candidate possesses strong skills in one or two of these areas and seeks to expand their expertise in the others, enabling them to apply AI systems—particularly machine learning models—to business contexts.

This course is suited for programmers aiming to acquire skills for applying machine learning algorithms to business scenarios, or data analysts who excel in applying math and statistics to business problems but need to enhance their technical machine learning capabilities. Participants should typically possess several years of experience with computing technology, including some proficiency in computer programming. This course also prepares students for the CertNexus® Certified Artificial Intelligence (AI) Practitioner (Exam AIP-110) certification.

This course is designed for 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 particular focus on security and privacy.

This course is designed for professionals aiming to demonstrate a vendor-neutral, cross-industry skill set that will enable them to design, implement, operate, and/or manage a secure IoT ecosystem.

Target Audience: This course is tailored for IoT professionals seeking to enhance their skills and knowledge of IoT security and privacy. It is also designed for individuals pursuing the CertNexus Certified Internet of Things Security Practitioner (CIoTSP) certification who wish to prepare for Exam ITS-110.

Objectives:

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

Specifically, you will:

• Determine security compliance measures.
• Respond effectively to social engineering attempts.
• Secure devices including desktops, laptops, tablets, smartphones, and more.
• Navigate the Internet securely.

Target Audience

This course is tailored for non-technical end users of computers, mobile devices, networks, and the Internet. Its goal is to enable you to leverage technology more securely and minimize digital risks.

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