This course will provide participants with in-depth knowledge and practical skills to plan, deliver and monitor IT/cybersecurity to internal and external clients encompassing a complete, conjoined set of disciplines in the areas of IT policies, Security-Operational-Run-Book, security/penetration testing, ethical hacking, and black hat hacking. It will also cover WiFi security, Website security, human factors, cyber forensics, cybersecurity team management, Secure Operations Center (SOC), and Computer Security Incident Response Team (CSIRT) infrastructures. As part of the course, participants will conduct a risk assessment of two different deployments based on the ISO27001 to identify any direct, or indirect threats, security exposures, or potentials for vulnerabilities. Participants will also respond to an example of security incident and identify the best practices which could be applied to secure their own organization and associated assets. All participants will be given copies of Run Books to deal with cyber extortions, Distributed Denial of Service (DDoS/DoS), and forensic investigations.
Database Administrators (DBAs) are responsible for the design, implementation, support, and maintenance of computerized databases in today’s organizations. The role also includes architecting, building, and scaling databases for future data growth and capacity. They are also responsible for the security, performance, and availability of data to users and customers. All the above tasks are performed with the help of a Database Management System (DBMS) and the leading and most widely used DBMS across the world today are the Oracle, Microsoft SQL Server, MySQL database, etc.
This course is designed to explain and demystify Big Data in non-technical terms. It bridges the gap between market buzz about Big Data and business realities. It documents real-world usage and ROI of Big Data, delineates successes and failures of Big Data, and the reasons for both. It characterizes what a data scientist is, and what s/he does all day. It discusses the pros and cons of various organizational structures for Big Data and Analytics teams. In short, the course peels away the complexities surrounding Big Data, boiling it down to the essence that managers need to know to make optimal decisions about the use, resourcing, risks, and value of Big Data.
This program provides the necessary step by step approach and methodology for systematically evaluating an information system's security.
With the knowledge you gain from this course, you can quickly develop Machine Learning solutions on Amazon Web Services (AWS). You will be introduced to techniques for data exploration to help you find patterns, meaning, and value in your company data through hands-on laboratories and practical activities.
Microsoft Azure administrator often serves as part of a larger team dedicated to implementing an organization's cloud infrastructure. Azure administrators also coordinate with other roles to deliver Azure networking, security, database, application development, and DevOps solutions.
Database Administrators (DBAs) are responsible for the design, implementation, support, and maintenance of computerized databases in today’s organizations. The role also includes architecting, building, and scaling databases for future data growth and capacity. They are also responsible for the security, performance, and availability of data to users and customers. All the above tasks are performed with the help of a Database Management System (DBMS) and the leading and most widely used DBMS across the world today are the Oracle, Microsoft SQL Server, MySQL database, etc.
CCTV is the use of video cameras to send a signal to a specific location, on a limited set of screens. It differs from broadcast television in that the signal is not transmitted openly, although it may use P2P or P2P. "P2MP", wired network, or wireless connections, and although nearly all video cameras fit this definition, the term is often applied to those used for surveillance in areas that may need to be monitored such as banks, stores, and other areas that require security .
This course is designed to explain and demystify Big Data in non-technical terms. It bridges the gap between market buzz about Big Data and business realities. It documents real-world usage and ROI of Big Data, delineates successes and failures of Big Data, and the reasons for both. It characterizes what a data scientist is, and what s/he does all day. It discusses the pros and cons of various organizational structures for Big Data and Analytics teams. In short, the course peels away the complexities surrounding Big Data, boiling it down to the essence that managers need to know to make optimal decisions about the use, resourcing, risks, and value of Big Data.