Our experience has taught us there is a distinct difference between technical ability and mission readiness. Candidates can be adept and qualified for the job but still be missing critical insight into their mission and real-world operational practices. For that reason, IntelliGenesis has developed specialized Mission and Technical training to produce well-rounded, operationally-ready personnel. We offer training on tools and techniques, but our instructors also leverage their extensive mission experience to apply classroom lessons to real-world use cases that students will face.
IntelliGenesis offers a suite of technical courses developed in-house by our own NCU-accredited Trainers and Subject Matter Experts, and we regularly add new topics and specializations! We work directly with customers to understand their educational needs and develop customized training packages that help analysts, developers, and engineers increase their operational capabilities and readiness.
Examples of our Specialized Training Curricula:
Applied Data Science – Open-source tools and techniques relevant to real-world data science scenarios within the focus areas of the Data Science Lifecycle, Foundations in the Python Language and Supporting Libraries for Analysis and Visualization, Data Processing and Management, Machine Learning and Model Selection, and Operationalizing Analytics.
Intro to Python for Applied Data Science – Basic Python syntax, APIs and Data Gathering/Grooming, Machine Learning, Natural Language Processing, and Data Visualization.
Intro to Industrial Control Systems (ICS) – Overview of ICS/IoT capabilities and trends, IoT effects on Cyberspace Intelligence, Surveillance and Reconnaissance (ISR) and Operational Preparation of the Environment (OPE), and Operating and Defending the networks against IoT Threat Vectors.
Threat Hunting with Jupyter – In this class, we will cover basic Python scripting syntax to gather, transform, and explore data. We’ll also process log files so that Indicators of Compromise (IoC) can be investigated. Then, we’ll output findings in data visualizations through the use of Python libraries like Matplotlib and Pandas and html based forced directed graphs.
Malware Analysis – Today’s network admins and network security practitioners of all levels must have an understanding of how these threats are developed and how they function. In this session we will look at and put in to practice some basic malware awareness and analysis techniques. This will prepare you to be better at defending your networks, devices, employees and customers from further exploitation and damage when you encounter a malware threat.