Cybersecurity Work Role Pathways - AI/ML Specialist
The AI/ML Specialist Pathway trains individuals to develop and evaluate AI and machine learning solutions and support the secure and responsible deployment of AI technologies.
The AI/ML Specialist Pathway trains individuals to develop and evaluate AI and machine learning solutions and support the secure and responsible deployment of AI technologies.
Enroll in this learning track and beging your journey to improving your skills.
Introductory module for the Cybersecurity Work Role Pathways
ln this module, you will learn about the basics of information technology. You will learn about the inner and outer workings of computers, troubleshooting, and how to be a professional in the IT field.
This module examines the framework of legal and ethical concerns within the operations of computing systems, particularly regarding misconduct involving those systems.
This module provides an overview of the cybersecurity field and its related concepts. An introduction to cybersecurity terminology, best practices, principles and standards, planning and management of cybersecurity functions and assets are included.
This module introduces problem-solving techniques and the computer program development process through coding in a high-level language.
This course discusses the foundations of computer networks. You will learn about the network architecture including the OSI model and the layering concept. The TCP/IP protocol stack layers will be discussed.
An overview of fundamental concepts, including aspects of database design, database management systems, data models, normalization, the standard relational database query, SQL, basic database security and relational database alternatives.
This module provides an overview of artificial intelligence's fundamental techniques and approaches. Topics include the history of AI, knowledge and reasoning, problem-solving, learning approaches, practical considerations, and responsible AI.
In this module, you will learn about cryptography, various types of data and the fingerprints they leave, and classical and modern cryptosystems.
In this module, you will gain knowledge of basic cryptography and cryptographic key management concepts and skills in identifying the privacy and security risks inherent in blockchain, including hacking concerns.
ln this module, you will learn the basics of information security. You will gain the ability to apply cybersecurity and privacy principles in the work setting and conduct vulnerability scans.
ln this module, you will gain knowledge of network security, network defense, and security threats. You will gain skills in using network security tools and skills in performing attacks.
In this module you will be learning about cloud computing and how it can be used. You will gain the ability to provide the appropriate cloud computing solutions and recommendations according to the applications used.
ln this module, you will dig in to what cyber threats are by taking on the role of a threat actor.
This module covers the fundamentals of digital forensics. Topics will include historical issues, key concepts, and tools and techniques of the trade.
In this module, you will learn the basic concepts of data mining. You will gain skills in recognizing data mining problems, writing code, and an understanding of the importance of legal/ethical aspects of data mining.
In this section you will learn about AI, cloud computing technologies, and machine learning techniques. In addition, you will develop skills in text mining/manipulation techniques and implementing methods/algorithms for image and video processing.
In this module, you will gain knowledge of current and emerging data remediation security features in databases.
ln this module, you will learn and apply classic security techniques to today’s cloud security problems.
This module will increase your knowledge of risk assessment methodologies and of Cybersecurity practices in the Risk Management Framework.
ln this module, you will gain knowledge of network protocols, data and information security and data analytics.
In this section, you will gain knowledge on data structures, web services, and enterprise-wide business process improvement initiatives.
This module covers the foundational principles and techniques of quantum technology, including basic quantum mechanics; quantum information theory and quantum algorithms such as Grover's search and Shor's factoring; etc.
This module provides a comprehensive overview of artificial intelligence, machine learning, deep learning, neural networks, and generative AI technologies as they apply to modern cybersecurity operations.
Certification, Badge and Placement.