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

This live, instructor-led training in Italy (offered online or on-site) is designed for data scientists and software engineers who aim to use AdaBoost to develop boosting algorithms for machine learning projects using Python.

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

• Set up the necessary development environment to start building machine learning models with AdaBoost.
• Understand the ensemble learning approach and how to implement adaptive boosting.
• Learn how to build AdaBoost models to boost machine learning algorithms in Python.
• Use hyperparameter tuning to increase the accuracy and performance of AdaBoost models.

This instructor-led live training in Italy (online or onsite) is aimed at data scientists as well as less technical persons who wish to use Auto-Keras to automate the process of selecting and optimizing a machine learning model.

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.
• Use the power of machine learning to solve real-world business problems.

This guided, live training session (available online or in-person) is designed for technical professionals with a machine learning foundation who aim to enhance model performance for identifying complex patterns within big data through AutoML frameworks.

This instructor-led, live training in Italy (online or onsite) is designed for participants with diverse expertise levels who want to utilize Google's AutoML platform to develop customized chatbots for various applications.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of chatbot development.
• Navigate the Google Cloud Platform and access AutoML.
• 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 Italy (online or onsite) covers the different aspects of enterprise security, from AI to database security. It also includes coverage of the latest tools, processes and mindset needed to protect from attacks.

This instructor-led, live training in Italy (online or onsite) offers an introduction to the fields of pattern recognition and machine learning. It covers practical applications in statistics, computer science, signal processing, computer vision, data mining, and bioinformatics.

Upon completion of this training, participants will be able to:

• Apply fundamental statistical methods to pattern recognition.
• Utilize essential models such as neural networks and kernel methods for data analysis.
• Implement advanced techniques to solve complex problems.
• Enhance prediction accuracy by integrating various models.

This instructor-led, live training in Italy (online or onsite) is designed for data scientists and data analysts who want to automate, evaluate, and manage predictive models using DataRobot's machine learning capabilities.

Upon completion of this training, participants will be able to:

• Load datasets into DataRobot to analyze, assess, and perform quality checks on the data.
• Construct and train models to identify key variables and achieve prediction objectives.
• Interpret models to generate valuable insights that support business decision-making.
• Monitor and manage models to ensure optimal prediction performance.

This course immerses participants in an interactive learning environment, demonstrating how to scan, test, exploit, and secure their own systems. The lab-intensive setting provides each student with in-depth knowledge and practical experience with essential modern security systems. Participants start by understanding how perimeter defenses operate, then proceed to scan and attack their own networks—ensuring no real infrastructure is compromised. Learners also explore how intruders escalate privileges and the steps necessary to secure a system. Additional topics include Intrusion Detection, Policy Creation, Social Engineering, DDoS Attacks, Buffer Overflows, and Virus Creation. Upon completing this intensive five-day course, students will possess hands-on understanding and experience in Ethical Hacking.

The Ethical Hacking Training aims to:

• Establish and govern minimum standards for credentialed professional information security specialists in ethical hacking practices.
• 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 in roles 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 Italy (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 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 create custom ML models.
• Train and manage models to produce accurate and fair machine learning models.
• Make predictions using trained models to meet business objectives and needs.

The Certified Ethical Hacker certification is a highly sought-after cybersecurity credential globally.

This program combines instructional content with practical exercises to prepare students for both the CEH certification exam and the CEH Practical Exam. Candidates who successfully pass both examinations earn the CEH Master credential alongside their CEH certification.

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

Training for either 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.

CPENT (Pen-test):
Teaches students how to apply the concepts and tools taught in the CEH program to a pen-test methodology in a live cyber range.

CHFI (Computer Forensics):
Teaches students a methodological approach to computer forensics including searching and seizing, chain-of-custody, acquisition, preservation, analysis and reporting of digital evidence.

Course Description

CEH provides an in-depth understanding of ethical hacking phases, various attack vectors, and preventative countermeasures. It will teach you how hackers think and act maliciously so you will be better positioned to set up your security infrastructure and defend against future attacks. An understanding of system weaknesses and vulnerabilities helps organizations strengthen their system security controls to minimize the risk of an incident.

CEH was built to incorporate a hands-on environment and systematic process across each ethical hacking domain and methodology, giving you the opportunity to work towards proving the required knowledge and skills needed to achieve the CEH credential. You will be exposed to an entirely different posture toward the responsibilities and measures required to be secure.

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 was designed to give students a chance to prove they can execute the principals taught in the CEH course. The practical exam requires you to demonstrate the application of ethical hacking techniques such as threat vector identification, network scanning, OS detection, vulnerability analysis, system hacking, and more.

The CEH Practical does not contain simulations. Rather, you will be challenging a live range which was designed to mimic a corporate network through the use of live virtual machines, networks, and applications.

Successfully completing the challenges found in the CEH Practical Exam is the next step after attaining the Certified Ethical Hacker (CEH) certification. Successfully 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 prove that you are skilled in ethical hacking, we test your abilities with real-world challenges in a real-world environment, using labs and tools requiring you to complete specific ethical hacking challenges within a time limit, just as you would face in the real world.

The EC-Council CEH (Practical) exam is comprised of a complex network that replicates a large organization’s real-life network and consists of various network systems (including DMZ, Firewalls, etc.). You must apply your ethical hacking skills to discover and exploit real-time vulnerabilities while also auditing the systems.

About CPENT

EC-Council’s Certified Penetration Tester (CPENT) program is all about the pen test and will teach you to perform in an enterprise network environment that must be attacked, exploited, evaded, and defended. If you have only been working in flat networks, CPENT’s live practice range will teach you to take your skills to the next level by teaching you to pen test IoT systems, OT systems, as well as how to write your own exploits, build your own tools, conduct advanced binaries exploitation, double pivot to access hidden networks, and customization of scripts and exploits to get into the innermost segments of the network.

About CHFI

The Computer Hacking Forensic Investigator (CHFI) course delivers the security discipline of digital forensics from a vendor-neutral perspective. CHFI is a comprehensive course covering major forensic investigation scenarios and enabling students to acquire necessary hands-on experience with various forensic investigation techniques and standard forensic tools necessary to successfully carry out a computer forensic investigation.

This instructor-led, live training session (available online or on-site) is intended for developers looking 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 necessary development environment to initiate the creation of machine learning features for mobile applications.
• Integrate new machine learning technologies into Android and iOS apps via ML Kit APIs.
• Enhance and optimize existing apps by using the ML Kit SDK for on-device processing and deployment.

Pattern Matching is a technique used to locate specified patterns within an image. It can be used to determine the existence of specified characteristics within a captured image, for example the expected label on a defective product in a factory line or the specified dimensions of a component. It is different from "Pattern Recognition" (which recognizes general patterns based on larger collections of related samples) in that it specifically dictates what we are looking for, then tells us whether the expected pattern exists or not.

Format of the Course

• This course introduces the approaches, technologies and algorithms used in the field of pattern matching as it applies to Machine Vision.

This instructor-led, live training in Italy (online or onsite) targets data scientists and software engineers looking to utilize Random Forest for building machine learning algorithms on large datasets.

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

• Configure the necessary development environment to start building machine learning models with Random Forest.
• Understand the advantages of Random Forest and how to implement it to resolve classification and regression problems.
• Learn how to handle large datasets and interpret multiple decision trees in Random Forest.
• Evaluate and optimize machine learning model performance by tuning the hyperparameters.

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

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

• Learn 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 utilize analytical tools for time series forecasting.

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

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

Upon completing this training, participants will be able to:

• Install and configure RapidMiner
• Prepare and visualize data using RapidMiner
• Validate machine learning models
• Mash up data and create predictive models
• Operationalize predictive analytics within a business process
• Troubleshoot and optimize RapidMiner

Audience

• Data scientists
• Engineers
• Developers

Course Format

• Combination of lectures, discussions, exercises, and extensive hands-on practice

Note

• To request customized training for this course, please contact us to make arrangements.