AI-Powered Cybersecurity: Threat Detection & Response Training Course

This instructor-led, live training in Portugal (online or onsite) is designed for data scientists and software engineers who want to use AdaBoost to develop boosting algorithms for machine learning in Python.< /p>

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This instructor-led live training in Portugal (online or onsite) targets data scientists and non-technical professionals seeking to use Auto-Keras to automate the process of selecting and optimizing machine learning models.

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

• Automate the training process for 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 instructor-led, live training (online or onsite) is aimed at technical participants with a background in machine learning who wish to optimize models for detecting complex patterns in big data using AutoML frameworks.

This instructor-led, live training in Portugal (online or onsite) is designed for participants with varying levels of expertise who want to use Google's AutoML platform to build custom chatbots for various applications.

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.
• 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 optimise chatbot performance over time.

This instructor-led, live training in Portugal (available online or on-site) covers various aspects of enterprise security, spanning from AI to database security. It also includes the latest tools, processes, and mindsets required to protect against attacks.

This instructor-led, live training in Portugal (online or onsite) provides an introduction into 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.

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

• Apply core statistical methods to pattern recognition.
• Use key models like neural networks and kernel methods for data analysis.
• Implement advanced techniques for complex problem-solving.
• Improve prediction accuracy by combining different models.

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

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

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

This course immerses participants in an interactive environment where they learn to scan, test, hack, and secure their own systems. The lab-intensive setting provides each student with in-depth knowledge and practical experience using essential, modern security tools. Students start by understanding how perimeter defenses function before moving on to scan and attack their own networks—all in a safe, controlled manner with no real networks affected. They then explore how intruders escalate privileges and discover 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 class, students will possess hands-on understanding and experience in Ethical Hacking.

The purpose of the Ethical Hacking Training is 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 the minimum standards.
• Reinforce ethical hacking as a unique and self-regulating profession.

Audience:

This course is ideal for professionals working 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 Portugal (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 range to implement various services for different data types.
• Prepare and label datasets to build custom ML models.
• Train and manage models to deliver accurate and fair machine learning models.
• Make predictions using trained models to address business objectives and needs.

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 penetration testing techniques. This enables you to identify potential threats within computer networks. During this course, you will acquire the knowledge and skills required to manage a penetration testing project or team, as well as plan and execute internal and external pentests 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 how to draft reports and propose countermeasures. Through practical exercises, you will master penetration testing techniques and develop the skills necessary to lead a pentest team, manage customer communication, and resolve conflicts.

The Certified Lead Ethical Hacking training course offers a technical perspective on information security through ethical hacking, utilizing common techniques such as information gathering and vulnerability detection, both within and outside a business network.

The training is also aligned with the NICE (The National Initiative for Cybersecurity Education) Protect and Defend framework.

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

Who should attend?

• Individuals interested in IT Security, particularly ethical hacking, who wish to learn more about the topic or begin a professional career change.
• Information security officers and professionals seeking to master ethical hacking and penetration testing techniques.
• Managers or consultants wishing to learn how to oversee the penetration testing process.
• Auditors wishing to perform and conduct professional penetration tests.
• Persons responsible for maintaining the security of information systems within an organization.
• Technical experts who want to learn how to prepare for a pentest.
• Cybersecurity professionals and information security team members.

The Certified Ethical Hacker qualification is a highly regarded cybersecurity credential globally.

This programme combines instruction and practical exercises to prepare students for both the CEH certification exam and the CEH Practical Exam. Candidates who successfully pass both examinations will receive the CEH credential alongside the prestigious CEH Master distinction.

Participants have the option to include either the CPENT or the CHFI course within their package.

Training for either the Certified Penetration Testing Professional (CPENT) or the Computer Hacking Forensic Investigator (CHFI) courses is delivered to each student through EC-Council’s online, self-paced, streaming video platform.

CPENT (Penetration Testing):
Educates students on applying the concepts and tools from the CEH programme to a penetration testing methodology within a live cyber range environment.

CHFI (Computer Forensics):
Instructs students on a methodical approach to computer forensics, covering aspects such as searching and seizing, chain of custody, data acquisition, preservation, analysis, and the reporting of digital evidence.

Course Description

CEH offers a deep understanding of ethical hacking phases, various attack vectors, and preventative countermeasures. It teaches you to think and act like a malicious hacker, enabling you to better establish security infrastructure and defend against future threats. Understanding system weaknesses and vulnerabilities allows organisations to strengthen their security controls and minimise the risk of incidents.

The CEH programme is designed to incorporate a hands-on environment and systematic process across each ethical hacking domain and methodology. This provides you with the opportunity to demonstrate the knowledge and skills required to achieve the CEH credential. You will gain exposure to a fundamentally different perspective on the responsibilities and measures necessary for security.

Who Should Attend

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

About the Certified Ethical Hacker Master

To attain the CEH Master certification, you must pass the CEH Practical exam. This exam is designed to allow students to demonstrate their ability to execute the principles taught in the CEH course. The practical exam requires you to show the application of ethical hacking techniques, including threat vector identification, network scanning, operating system detection, vulnerability analysis, system hacking, and more.

The CEH Practical exam does not use simulations. Instead, you will engage with a live range designed to mimic 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 CEH Master certification.

About the Certified Ethical Hacker Practical

To prove your proficiency in ethical hacking, we assess your abilities using real-world challenges in a realistic environment. You will use labs and tools to complete specific ethical hacking challenges within a time limit, mirroring the conditions you would face in the real world.

The EC-Council CEH (Practical) exam features a complex network that replicates a large organisation’s real-life infrastructure, consisting of various network systems (including DMZ, Firewalls, etc.). You must apply your ethical hacking skills to identify and exploit real-time vulnerabilities while auditing the systems.

About CPENT

EC-Council’s Certified Penetration Tester (CPENT) programme focuses on penetration testing. It teaches you to operate within an enterprise network environment that must be attacked, exploited, evaded, and defended. If you have only worked with flat networks, CPENT’s live practice range will elevate your skills. It covers penetration testing of IoT and OT systems, writing your own exploits, building custom tools, conducting advanced binary exploitation, double pivoting to access hidden networks, and customising scripts and exploits to reach the innermost segments of the network.

About CHFI

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

This instructor-led, live training (online or onsite) targets developers who wish to employ Google’s ML Kit to develop machine learning models optimized for mobile processing.

Upon completion of this training, participants will be capable of:

• Configuring the necessary development environment to initiate the creation of machine learning features for mobile apps.
• Integrating new machine learning technologies into Android and iOS apps using ML Kit APIs.
• Enhancing and optimizing existing apps through the ML Kit SDK for on-device processing and deployment.

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

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

• Set up 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 Portugal (online or onsite) is aimed at intermediate-level data analysts who wish to learn how to use RapidMiner to estimate and project values and utilise analytical tools for time series forecasting.

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

• Apply the CRISP-DM methodology, select suitable machine learning algorithms, and improve model construction and performance.
• Utilise RapidMiner to estimate and project values, employing 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 covering data preparation, machine learning, deep learning, text mining, and predictive analytics.

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

By the conclusion of this training, participants will be capable of:

• Installing and configuring RapidMiner
• Preparing and visualizing data using RapidMiner
• Validating machine learning models
• Mashing up data and creating predictive models
• Implementing predictive analytics within business processes
• Troubleshooting and optimizing RapidMiner

Audience

• Data scientists
• Engineers
• Developers

Format of the Course

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

Note

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