Certified Internet of Things Practitioner (CIoTP™) Training Course

Progress in computing and engineering is propelling technological advancement, ranging from blockchain and artificial intelligence to gene editing and the Internet of Things. These developments present opportunities to enhance productivity and improve human welfare. However, as recent scandals have shown, these innovations also introduce novel risks. Technology professionals are under growing pressure to address ethical issues, 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, leveraging theory, regulatory frameworks, and industry best practices. Participants will develop the skills necessary to navigate ethical dilemmas within their roles and organisations.

This programme focuses on network defence and incident response strategies, techniques, 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 particularly suitable for candidates assigned to monitor and detect security incidents within information systems and networks, as well as those responsible for executing standardised responses to such events. The course introduces tools, tactics, and procedures to manage cybersecurity risks, identify various common threats, assess organisational security, collect and analyse cybersecurity intelligence, and remediate and report incidents as they arise. It offers a comprehensive methodology for individuals tasked with defending their organisation’s cybersecurity.

This programme is designed to assist students in preparing for the CertNexus CyberSec First Responder (Exam CFR-310) certification examination. The knowledge and skills acquired and practised here will form a significant part of your preparation. Furthermore, this course and the subsequent certification (CFR-310) satisfy 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: In this programme, you will learn to 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, conduct ongoing threat landscape research and utilise data to prepare for incidents

• Explain the purpose and characteristics of various data sources

• Given a scenario, utilise appropriate tools to analyse logs

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

• Given a scenario, use Windows tools to analyse incidents

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

• Summarise methods and tools used for malware analysis

• Given a scenario, analyse 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 programme is primarily designed 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. The focus is on the knowledge, abilities, and skills necessary to defend those information systems in a cybersecurity context, including protection, detection, analysis, investigation, and response processes.

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

Artificial intelligence (AI) and machine learning (ML) have become indispensable components of the modern organizational toolkit. When leveraged effectively, these technologies deliver actionable insights that inform critical decision-making and empower businesses to launch exciting, innovative products and services. This course guides you through applying various AI and ML approaches and algorithms to address business challenges. You will learn to follow a structured workflow for developing robust solutions, utilise open-source and commercial tools to build, test, and deploy these solutions, and ensure they adhere to user privacy standards. Each topic area includes practical, hands-on activities.

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

• Define a general approach to solving a specific business problem using applied AI and ML.
• Collect and refine datasets to prepare them for training and testing.
• Train and tune a machine learning model.
• Finalise a machine learning model and present findings 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).
• Advocate for data privacy and ethical practices within AI and ML projects.

Target Student: The skills covered in this course integrate three key areas—software development, applied mathematics and statistics, and business analysis. Ideal candidates for this course may possess strength in one or two of these areas and wish to broaden their expertise in the others, enabling them to apply artificial intelligence (AI) systems, particularly machine learning models, to business problems.

For instance, the target student might be a programmer seeking to expand their skills to apply machine learning algorithms to business issues, or a data analyst with strong mathematical and statistical capabilities who wishes to develop technical skills related to machine learning. A typical participant in this course should have several years of experience with computing technology and 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 individuals such as software developers, testers, and architects involved in creating software using various programming languages and platforms, including desktop, web, cloud, and mobile environments. It aims to enhance their ability to produce high-quality software, with a special emphasis on security and privacy aspects.

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

Target Audience: This course is intended for IoT practitioners seeking to enhance their expertise in IoT security and privacy. It is also ideal for candidates preparing for the CertNexus Certified Internet of Things Security Practitioner (CIoTSP) certification and the associated 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 minimise 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.