AI-Powered Cybersecurity: Advanced Threat Detection & Response Training Course

This instructor-led, live training (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: - Set up the required development environment to begin building machine learning models with AdaBoost. - Understand the ensemble learning methodology and how to implement adaptive boosting techniques. - Learn how to construct AdaBoost models to enhance machine learning algorithms in Python. - Utilize hyperparameter tuning to improve the accuracy and performance of AdaBoost models, ensuring they meet the standards required for government applications.

This instructor-led, live training in US (online or onsite) is aimed at data scientists and less technical individuals who wish to utilize Auto-Keras to automate the process of selecting and optimizing a machine learning model for government applications. By the end of this training, participants will be able to: - Automate the process of training highly efficient machine learning models. - Automatically search for the best parameters for deep learning models. - Build highly accurate machine learning models. - Apply machine learning solutions to address real-world business challenges in a public sector context.

This instructor-led, live training (available online or on-site) is designed for technical professionals with a background in machine learning who seek to enhance their skills in optimizing models for detecting intricate patterns in large datasets using AutoML frameworks. The training aims to equip participants with the knowledge and practical tools necessary to improve model performance and efficiency, ensuring alignment with public sector workflows and governance standards for government applications.

This instructor-led, live training in [location] (online or onsite) is designed for participants with varying levels of expertise who wish to leverage Google's AutoML platform to build customized chatbots for various applications, including those for government use. By the end of this training, participants will be able to: - Understand the fundamentals of chatbot development. - Navigate the Google Cloud Platform and access AutoML tools. - Prepare data for training chatbot models. - Train and evaluate custom chatbot models using AutoML. - Deploy and integrate chatbots into various platforms and channels. - Monitor and optimize chatbot performance over time.

This instructor-led, live training in US (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 (online or onsite) provides an introduction to the field of pattern recognition and machine learning. It covers practical applications in statistics, computer science, signal processing, computer vision, data mining, and bioinformatics for government use. By the end of this training, participants will be able to: - Apply core statistical methods to pattern recognition tasks. - Utilize key models such as neural networks and kernel methods for data analysis. - Implement advanced techniques to address complex problem-solving scenarios. - Enhance prediction accuracy by integrating different models.

This instructor-led, live training (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 applications. By the end of this training, participants will be able to: - Load datasets in DataRobin to analyze, assess, and quality check data. - Build and train models to identify key variables and meet prediction targets. - Interpret models to derive actionable insights that support informed decision-making. - Monitor and manage models to ensure ongoing optimization and performance.

This course will immerse participants into an interactive environment where they will learn how to scan, test, hack, and secure their own systems. The lab-intensive format provides each participant with in-depth knowledge and practical experience with essential security systems currently in use. Participants will start by understanding the mechanics of perimeter defenses before progressing to scanning and attacking their own networks, ensuring no real network is compromised. They will then learn how intruders escalate privileges and the steps necessary to secure a system. The curriculum also covers Intrusion Detection, Policy Creation, Social Engineering, DDoS Attacks, Buffer Overflows, and Virus Creation. Upon completion of this intensive five-day course, participants will have hands-on understanding and experience in ethical hacking, specifically tailored for government applications. ### Purpose of the Ethical Hacking Training The primary objectives of the Ethical Hacking Training are to: - Establish and govern minimum standards for credentialing professional information security specialists in ethical hacking measures. - Inform the public that credentialed individuals meet or exceed these minimum standards. - Reinforce ethical hacking as a unique and self-regulating profession. ### Audience This course is ideal for professionals 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 (online or onsite) is designed for government data scientists, data analysts, and developers who wish to explore AutoML products and features to create and deploy custom ML training models with minimal effort. By the end of this training, participants will be able to: - Explore the AutoML product line to implement different services for various data types. - Prepare and label datasets to develop custom ML models. - Train and manage models to ensure they produce accurate and fair results. - Utilize trained models to make predictions that align with business objectives and needs for government.

Why Should You Attend?

The Certified Lead Ethical Hacker training course equips you with the essential expertise to conduct information system penetration tests by applying recognized principles, procedures, and techniques. This course will help you identify potential threats on computer networks and manage a penetration testing project or team effectively. During the training, you will learn how to plan and perform both internal and external penetration tests in compliance with standards such as the Penetration Testing Execution Standard (PTES) and the Open Source Security Testing Methodology Manual (OSSTMM). Additionally, you will gain a comprehensive understanding of drafting reports and proposing countermeasures. Through practical exercises, you will master penetration testing techniques and develop skills in managing a pentest team, customer communication, and conflict resolution.

This training provides a technical overview of information security through ethical hacking, using common methods like information gathering and vulnerability detection within and outside business networks. The course is aligned with the NICE (National Initiative for Cybersecurity Education) Protect and Defend framework, ensuring that it meets industry standards and best practices.

After acquiring the necessary knowledge and skills in ethical hacking, you can take the exam to earn the "PECB Certified Lead Ethical Hacker" credential. Holding this certificate demonstrates your proficiency in performing and managing penetration tests according to established best practices, which is crucial for government and private sector roles alike.

Who Should Attend?

• Individuals interested in IT security and ethical hacking, whether to deepen their knowledge or explore a career change.
• Information security officers and professionals seeking to master ethical hacking and penetration testing techniques.
• Managers and consultants who want to learn how to oversee the penetration testing process effectively.
• Auditors aiming to conduct professional penetration tests.
• Personnel responsible for maintaining the security of information systems in an organization.
• Technical experts looking to prepare for and execute pentests.
• Cybersecurity professionals and members of information security teams who need advanced skills for their roles.

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 (available online or onsite) is designed for developers who wish to utilize Google’s ML Kit to build machine learning models optimized for mobile devices. By the end of this training, participants will be able to: - Set up the required development environment to begin developing machine learning features for mobile applications. - Integrate new machine learning technologies into Android and iOS apps using the ML Kit APIs. - Enhance and optimize existing applications using the ML Kit SDK for on-device processing and deployment, ensuring alignment with public sector workflows and governance standards for government.

This instructor-led, live training (online or onsite) is designed for government data scientists and software engineers who wish to utilize Random Forest to develop machine learning algorithms for large datasets.

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

• Set up the required development environment to begin building machine learning models with Random Forest.
• Comprehend the benefits of Random Forest and how to apply it to address classification and regression challenges.
• Learn techniques for managing large datasets and interpreting multiple decision trees within Random Forest.
• Evaluate and enhance machine learning model performance through hyperparameter tuning.

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

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 - Combine data sources and create predictive models - Integrate 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 tailored to specific needs, please contact us to arrange.