AI-Powered Cybersecurity: Threat Detection & Response Training Course

This instructor-led, live training in US Empire (online or onsite) is designed for data scientists and software engineers who wish to utilize AdaBoost to develop boosting algorithms for machine learning with Python.

By the end of this training, participants will be able to:

• Establish the required development environment to begin building machine learning models with AdaBoost.
• Gain a comprehensive understanding of the ensemble learning methodology and how to implement adaptive boosting techniques.
• Acquire the skills to construct AdaBoost models to enhance machine learning algorithms in Python.
• Apply hyperparameter tuning to optimize the accuracy and performance of AdaBoost models for government applications.

This instructor-led, live training in US Empire (online or onsite) is aimed at data scientists and less technical personnel who wish to utilize Auto-Keras to automate the process of selecting and optimizing a machine learning model for government use.

By the end of this training, participants will be able to:

• Automate the process of training highly efficient machine learning models for government applications.
• Conduct automatic searches for the best parameters for deep learning models to enhance governmental workflows.
• Develop highly accurate machine learning models that align with public sector needs.
• Leverage the power of machine learning to address real-world challenges in the public sector.

This instructor-led, live training (online or onsite) is designed for technical professionals with a background in machine learning. The course aims to enhance their skills in optimizing models for the detection of complex patterns in big data using AutoML frameworks, specifically tailored for government applications.

This instructor-led, live training in US Empire (online or onsite) is aimed at participants with varying levels of expertise who wish to leverage Google's AutoML platform to build customized chatbots for government applications.

By the end of this training, participants will be able to:

• Understand the fundamentals of chatbot development for government use.
• Navigate the Google Cloud Platform and access AutoML for government projects.
• Prepare data for training chatbot models in a public sector context.
• Train and evaluate custom chatbot models using AutoML, tailored to government needs.
• Deploy and integrate chatbots into various platforms and channels used by government agencies.
• Monitor and optimize chatbot performance over time to ensure alignment with public sector workflows and governance.

This instructor-led, live training in US Empire (online or onsite) for government covers the various aspects of enterprise security, ranging from artificial intelligence to database protection. The course also includes an overview of the latest tools, processes, and strategies necessary to defend against cyber threats.

This instructor-led, live training in US Empire (online or onsite) provides an introduction to the field of pattern recognition and machine learning. It touches on practical applications in statistics, computer science, signal processing, computer vision, data mining, and bioinformatics for government.

By the end of this training, participants will be able to:

• Apply core statistical methods to pattern recognition for government use.
• Use key models like neural networks and kernel methods for data analysis in public sector contexts.
• Implement advanced techniques for complex problem-solving within government workflows.
• Improve prediction accuracy by combining different models, enhancing governance and accountability.

This instructor-led, live training in US Empire (online or onsite) is aimed at data scientists and data analysts who wish to automate, evaluate, and manage predictive models using DataRobot's machine learning capabilities for government.

By the end of this training, participants will be able to:

• Load datasets in DataRobot to analyze, assess, and ensure data quality.
• Build and train models to identify key variables and achieve prediction targets.
• Interpret model outputs to generate actionable insights that support informed decision-making.
• Monitor and manage models to maintain optimal predictive performance.

This course will immerse participants into an interactive environment where they will be shown how to scan, test, hack, and secure their own systems. The lab-intensive environment provides each participant with in-depth knowledge and practical experience with the current essential security systems. Participants will begin by understanding how perimeter defenses work and then proceed to scanning and attacking their own networks, ensuring no real network is harmed. They will also learn how intruders escalate privileges and what steps can be taken to secure a system. Additionally, participants will gain insights into Intrusion Detection, Policy Creation, Social Engineering, DDoS Attacks, Buffer Overflows, and Virus Creation. Upon completing this intensive 5-day class, participants will have hands-on understanding and experience in Ethical Hacking for government environments.

The purpose of the Ethical Hacking Training is to:

• Establish and govern minimum standards for credentialing professional information security specialists in ethical hacking measures for government agencies.
• Inform the public that credentialed individuals meet or exceed the minimum standards required for government roles.
• Reinforce ethical hacking as a unique and self-regulating profession, particularly within the context of government operations.

Audience:

The course is ideal for those working in positions such as, but not limited to:

• Security Engineers
• Security Consultants
• Security Managers
• IT Directors/Managers
• Security Auditors
• IT Systems Administrators
• IT Network Administrators
• Network Architects
• Developers

This instructor-led, live training in US Empire (online or onsite) is aimed at data scientists, data analysts, and developers who wish to explore AutoML products and features to create and deploy custom machine learning models with minimal effort for government use.

By the end of this training, participants will be able to:

• Evaluate the AutoML product line to implement various services tailored to different data types for government applications.
• Prepare and label datasets to develop custom machine learning models aligned with public sector workflows and governance.
• Train and manage models to ensure they produce accurate and fair results, adhering to accountability standards.
• Utilize trained models to make predictions that meet the specific objectives and needs of government agencies.

Why should you attend?

The Certified Lead Ethical Hacker training course equips participants with the essential expertise to conduct information system penetration tests by applying recognized principles, procedures, and penetration testing techniques. This training will help identify potential threats on a computer network. Throughout the course, attendees will gain the knowledge and skills necessary to manage a penetration testing project or team, as well as plan and execute internal and external pentests in accordance with various standards such as the Penetration Testing Execution Standard (PTES) and the Open Source Security Testing Methodology Manual (OSSTMM). Additionally, participants will develop a comprehensive understanding of how to draft reports and propose countermeasures. Practical exercises will enable attendees to master penetration testing techniques and acquire the skills needed to manage a pentest team, communicate effectively with clients, and resolve conflicts.

The Certified Lead Ethical Hacking training course offers a technical perspective on information security through ethical hacking, using common techniques such as information gathering and vulnerability detection, both within and outside of business networks. The training is also aligned with the NICE (National Initiative for Cybersecurity Education) Protect and Defend framework.

After acquiring the necessary knowledge and skills in ethical hacking, participants can take the exam and apply for the "PECB Certified Lead Ethical Hacker" credential. Holding a PECB Lead Ethical Hacker certificate demonstrates that you have acquired the practical skills required to perform and manage penetration tests according to best practices.

Who should attend?

• Individuals interested in IT Security, particularly in Ethical Hacking, either to deepen their understanding or to initiate a professional reorientation.
• Information security officers and professionals aiming to master ethical hacking and penetration testing techniques for government use.
• Managers or consultants seeking to control the penetration testing process effectively.
• Auditors who wish to perform and conduct professional penetration tests.
• Personnel responsible for maintaining the security of information systems within an organization.
• Technical experts looking to learn how to prepare a pentest.
• Cybersecurity professionals and information security team members.

The Certified Ethical Hacker (CEH) certification is highly sought after in the field of cybersecurity, both domestically and internationally.

This program includes comprehensive instruction and practical exercises designed to prepare students for the CEH certification exam and the CEH Practical Exam. Successfully passing both exams confers the CEH Master credential along with the CEH certification.

Students have the option to add either the CPENT or the CHFI course to their training package.

The Certified Penetration Testing Professional (CPENT) course or the Computer Hacking Forensic Investigator (CHFI) course will be provided to each student through EC-Council’s online, self-paced, streaming video program for government use.

CPENT (Pen-test):
This course teaches students how to apply the concepts and tools covered in the CEH program to a penetration testing methodology within a live cyber range environment.

CHFI (Computer Forensics):
This course provides a methodological approach to computer forensics, including techniques for searching and seizing digital evidence, maintaining chain-of-custody, acquiring, preserving, analyzing, and reporting on digital evidence.

Course Description

The CEH program offers an in-depth understanding of ethical hacking phases, various attack vectors, and preventative countermeasures. It will equip you with the knowledge to understand how hackers think and operate maliciously, thereby enabling you to better secure your organization’s infrastructure and defend against future attacks. An awareness of system weaknesses and vulnerabilities helps organizations enhance their security controls and minimize the risk of incidents.

The CEH curriculum is designed to provide a hands-on environment and systematic process across each ethical hacking domain and methodology, giving students the opportunity to demonstrate the knowledge and skills necessary to earn the CEH credential. You will gain a new perspective on the responsibilities and measures required to maintain security.

Who Should Attend

• Law enforcement personnel
• System administrators
• Security officers
• Defense and military personnel
• Legal professionals
• Bankers
• Security professionals

About the Certified Ethical Hacker Master

To earn the CEH Master certification, you must pass the CEH Practical exam. The CEH Practical Exam is designed to assess students' ability to apply the principles taught in the CEH course. This practical exam requires you to demonstrate ethical hacking techniques such as threat vector identification, network scanning, OS detection, vulnerability analysis, system hacking, and more.

The CEH Practical does not include simulations; instead, it involves challenging a live range that mimics a corporate network using live virtual machines, networks, and applications. Successfully completing the challenges in the CEH Practical Exam is the next step after obtaining the Certified Ethical Hacker (CEH) certification. Passing both the CEH exam and the CEH Practical will earn you the additional certification of CEH Master.

About the Certified Ethical Hacker Practical

To demonstrate your proficiency in ethical hacking, we assess your abilities through real-world challenges in a realistic environment. This involves using labs and tools to complete specific ethical hacking tasks within a time limit, mirroring real-world scenarios.

The EC-Council CEH (Practical) exam features a complex network that simulates a large organization’s real-life network infrastructure, including various systems such as DMZs and firewalls. You must apply your ethical hacking skills to discover and exploit live vulnerabilities while also auditing the systems.

About CPENT

EC-Council’s Certified Penetration Tester (CPENT) program focuses on penetration testing in an enterprise network environment that requires attack, exploitation, evasion, and defense. If you have experience working only in flat networks, CPENT’s live practice range will elevate your skills by teaching you to test IoT systems, OT systems, write your own exploits, build custom tools, conduct advanced binary exploitation, double pivot to access hidden networks, and customize scripts and exploits to penetrate the innermost segments of a network.

About CHFI

The Computer Hacking Forensic Investigator (CHFI) course provides a vendor-neutral perspective on digital forensics. This comprehensive program covers major forensic investigation scenarios and equips students with hands-on experience in various forensic techniques and standard forensic tools necessary for conducting successful computer forensic investigations.

This instructor-led, live training (online or onsite) is aimed at developers who wish to utilize Google’s ML Kit to build machine learning models optimized for mobile device processing.

By the end of this training, participants will be able to:

• Set up the required development environment to begin integrating machine learning features into mobile applications.
• Integrate new machine learning technologies into Android and iOS apps using the ML Kit APIs.
• Enhance and optimize existing applications by leveraging the ML Kit SDK for on-device processing and deployment, ensuring alignment with public sector workflows and governance standards.

This training is tailored to meet the needs of developers working in environments that require robust, efficient, and secure mobile solutions for government.

This instructor-led, live training in US Empire (online or onsite) is aimed at data scientists and software engineers who wish to use Random Forest to develop machine learning algorithms for large datasets.

By the end of this training, participants will be able to:

• Configure the required development environment to initiate building machine learning models with Random Forest.
• Comprehend the benefits of Random Forest and its application in addressing classification and regression challenges.
• Manage large datasets and interpret multiple decision trees within the Random Forest framework.
• Assess and enhance machine learning model performance through hyperparameter tuning, ensuring optimal results for government applications.

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level data analysts who wish to learn how to use RapidMiner to estimate and project values and leverage analytical tools for time series forecasting for government.

By the end of this training, participants will be able to:

• Apply the CRISP-DM methodology, select appropriate machine learning algorithms, and enhance model construction and performance.
• Utilize RapidMiner to estimate and project values, and employ analytical tools for time series forecasting.

RapidMiner is an open-source data science software platform designed for rapid application prototyping and development. It offers an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics.

In this instructor-led, live training, participants will learn how to use RapidMiner Studio for data preparation, machine learning, and the deployment of predictive models.

By the end of this training, participants will be able to:

• Install and configure RapidMiner
• Prepare and visualize data using RapidMiner
• Validate machine learning models
• Integrate data sources and create predictive models
• Incorporate predictive analytics into business processes
• Troubleshoot and optimize RapidMiner for government applications

Audience

• Data scientists
• Engineers
• Developers

Format of the Course

• Part lecture, part discussion, exercises, and extensive hands-on practice

Note

• To request a customized training for this course, please contact us to arrange.