AI-Powered Cybersecurity: Threat Detection & Response Training Course

This instructor-led, live training in Uzbekistan (available online or on-site) is designed for data scientists and software engineers who wish to use AdaBoost to build boosting algorithms for machine learning with Python.

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

• Set up the necessary development environment to start building machine learning models using AdaBoost.
• Understand the ensemble learning approach and learn how to implement adaptive boosting.
• Learn how to build AdaBoost models to enhance machine learning algorithms in Python.
• Apply hyperparameter tuning to improve the accuracy and performance of AdaBoost models.

This instructor-led, live training in Uzbekistan (available online or on-site) is tailored for data scientists as well as less technical professionals who wish to leverage Auto-Keras to automate the selection and optimisation of machine learning models.

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 optimal parameters for deep learning models.
• Construct highly accurate machine learning models.
• Harness the power of machine learning to address real-world business challenges.

This instructor-led, live training (online or onsite) is designed for technical participants with a background in machine learning who aim to optimise models for detecting complex patterns in big data using AutoML frameworks.

This instructor-led, live training Uzbekistan (online or in-person) is aimed at participants with varying levels of expertise who wish to leverage Google's AutoML platform to build customized 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 optimize chatbot performance over time.

This instructor-led, live training in Uzbekistan (online or onsite) covers various 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 Uzbekistan (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 Uzbekistan (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.

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

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

In this course, students will be immersed in an interactive setting designed to demonstrate how to scan, test, exploit, and secure their own systems. The lab-intensive environment provides each student with in-depth knowledge and practical experience with essential security tools. The journey begins with understanding perimeter defenses, progressing to scanning and attacking their own networks in a safe environment where no real infrastructure is compromised. Participants will learn how intruders escalate privileges and identify 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 completing this intensive 5-day class, students will possess hands-on understanding and practical 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 positions such as, but not limited to:

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

This instructor-led, live training in Uzbekistan (online or on-site) is designed for 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.

Why attend this course?

The Certified Lead Ethical Hacker training program equips you with the essential expertise to conduct information system penetration tests. By applying recognized principles, procedures, and testing techniques, you will learn to identify potential threats within computer networks. Throughout the course, you will acquire the knowledge and skills required to manage a penetration testing project or team, as well as to plan and execute internal and external pentests in alignment 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 abilities needed to manage a pentest team, handle customer communications, and resolve conflicts.

This training course offers a technical perspective on information security through ethical hacking, utilizing common techniques like information gathering and vulnerability detection, both inside and outside of business networks.

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

Once you have mastered 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 demonstrates that you possess the practical skills to perform and manage penetration tests according to industry best practices.

Who should attend?

• Individuals interested in IT Security, particularly ethical hacking, who wish to learn more about the field or begin a professional transition.
• Information security officers and professionals aiming to master ethical hacking and penetration testing techniques.
• Managers or consultants seeking to understand how to oversee the penetration testing process.
• Auditors looking to perform and conduct professional penetration tests.
• Personnel responsible for maintaining the security of organizational information systems.
• Technical experts who want to learn how to prepare for a pentest.
• Cybersecurity professionals and members of information security teams.

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

This programme combines comprehensive instruction and hands-on practice 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 in addition to their CEH certification.

Students are offered the option to include either the CPENT or the CHFI course within their package.

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

CPENT (Pen-test):
Teaches students how to apply the concepts and tools covered in the CEH programme within a live cyber range, using a penetration testing methodology.

CHFI (Computer Forensics):
Provides students with a methodological approach to computer forensics, covering the search and seizure, chain of custody, acquisition, preservation, analysis, and reporting of digital evidence.

Course Description

CEH offers an in-depth understanding of ethical hacking phases, various attack vectors, and preventative countermeasures. It teaches you how hackers think and act maliciously, enabling you to better position your security infrastructure to defend against future attacks. A thorough understanding of system weaknesses and vulnerabilities helps organisations strengthen their security controls and minimise the risk of incidents.

CEH was designed to incorporate a hands-on environment and a systematic process across each ethical hacking domain and methodology, giving you the opportunity to demonstrate the knowledge and skills required to achieve the CEH credential. You will be exposed to a completely different perspective on the responsibilities and measures necessary to maintain 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 earn the CEH Master certification, you must pass the CEH Practical exam. This exam was designed to give students the opportunity to prove they can execute the principles 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 include simulations. Instead, you will be challenged on a live range designed to mimic a corporate network using 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 your skills in ethical hacking, we test your abilities with real-world challenges in a realistic environment, using labs and tools that require you to complete specific ethical hacking tasks within a time limit, just as you would face in practice.

The EC-Council CEH (Practical) exam consists of a complex network that replicates a large organisation’s real-life environment and includes 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) programme focuses entirely on penetration testing and will teach you to perform in 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 by teaching you to pen-test IoT systems, OT systems, write your own exploits, build custom tools, conduct advanced binary exploitation, perform double pivots to access hidden networks, and customise scripts and exploits to penetrate the innermost segments of a network.

About CHFI

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

This instructor-led, live training (online or onsite) is aimed at developers who wish to use Google's ML Kit to build machine learning models that are optimized for processing on mobile devices.

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

• Set up the necessary development environment to start developing machine learning features for mobile apps.
• Integrate new machine learning technologies into Android and iOS apps using the ML Kit APIs.
• Enhance and optimize existing apps using the ML Kit SDK for on-device processing and deployment.

This instructor-led, live training in Uzbekistan (available online or on-site) is designed for data scientists and software engineers who wish to use Random Forest to develop machine learning algorithms for large-scale datasets.

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

• Set up the necessary development environment to begin building machine learning models using Random Forest.
• Understand the advantages of Random Forest and learn how to apply it to solve classification and regression problems.
• Acquire skills in handling large datasets and interpreting multiple decision trees within the Random Forest framework.
• Evaluate and optimize machine learning model performance by fine-tuning hyperparameters.

This instructor-led, live training in Uzbekistan (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 provides an integrated environment for data preparation, machine learning, deep learning, text mining, and predictive analytics.

In this instructor-led, live training session, participants will learn how to use RapidMiner Studio for data preparation, machine learning, and deploying 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
• Mashup data and build predictive models
• Operationalize predictive analytics within business processes
• Troubleshoot and optimize RapidMiner

Audience

• Data scientists
• Engineers
• Developers

Course Format

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

Note

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