Cyber Security Professional Penetration Tester

Professional Penetration Testers are more than just Ethical Hackers. Our 20-week program starts on August 20, 2018. Tuition is $18,000 – payment plans and tuition assistance available.

The Cybersecurity Professional Penetration Tester is a 20-week immersive bootcamp program with an evening schedule

Our (approved) Professional Penetration Tester training program is your direct path to a cyber security career. This 400-hour immersive curriculum includes six courses, extensive hands-on skill building, and guided product training (part time; see the evening comparison below).

Cyber Security Professional Penetration Tester students graduate with the most sought after knowledge and tradecraft for immediate employment as tier 1+ security engineers, analysts, pen testers and consultants. The evolution from general IT to cyber security can take five to 10 years. The Professional Penetration Tester does it in as little as 20 weeks part time.

Network Pentesting & Exploitation

Ethical Hacking & Countermeasures

Wireless Pentesting & Exploitation

Python for Pentesting

PowerShell for Pentesting

Competing in Capture the Flag Events

Packet Analysis with Wireshark

Networking & Security Foundations

Modules

Hours of instruction

Hours of labs

Evening Schedule

The CPPT program is available in an evening schedule. All upcoming cohort start dates can be found on the Academy Calendar. Click the tabs below to view daily schedules.

Part-Time Schedule

THE CORE PART-TIME PROGRAM MEETS TWO EVENINGS PER WEEK PLUS SATURDAYS (OPEN LAB TIME) OVER 40 WEEKS (4 X 9 WEEK QUARTERS WITH 2-3 WEEK BREAKS) AND INCLUDES 200 HRS. OF THEORY AND 200 HRS. OF HANDS-ON LABS.

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Monday
20.05.2019
                            Tuesday
                            21.05.2019
                                              • 18:00 > 19:00
                                                Program Instruction
                                              • 19:00 > 20:00
                                                Program Instruction
                                              • 20:00 > 21:00
                                                Lab 1
                                              • 21:00 > 22:00
                                                Lab 2
                                              Wednesday
                                              22.05.2019
                                                                • 18:00 > 19:00
                                                                  Program Instruction
                                                                • 19:00 > 20:00
                                                                  Program Instruction
                                                                • 20:00 > 21:00
                                                                  Lab 1
                                                                • 21:00 > 22:00
                                                                  Lab 2
                                                                Thursday
                                                                23.05.2019
                                                                                  • 18:00 > 19:00
                                                                                    Program Instruction
                                                                                  • 19:00 > 20:00
                                                                                    Program Instruction
                                                                                  • 20:00 > 21:00
                                                                                    Lab 1
                                                                                  • 21:00 > 22:00
                                                                                    Lab 2
                                                                                  Friday
                                                                                  24.05.2019
                                                                                                            Saturday
                                                                                                            25.05.2019
                                                                                                            • 09:00 > 10:00
                                                                                                              Instruction
                                                                                                            • 10:00 > 11:00
                                                                                                              Instruction
                                                                                                            • 11:00 > 12:00
                                                                                                              Lab 1
                                                                                                            • 12:00 > 13:00
                                                                                                              Lunch
                                                                                                            • 13:00 > 14:00
                                                                                                              Instruction
                                                                                                            • 14:00 > 15:00
                                                                                                              Instruction
                                                                                                            • 15:00 > 16:00
                                                                                                              Lab 2
                                                                                                            • 16:00 > 17:00
                                                                                                              Open Lab
                                                                                                              Daytime and evening students
                                                                                                                      The Academy supports a full range of Financial Aid, Scholarship, Education Loan and local Grant Programs for Cybersecurity students. Follow the links below for details on each option.

                                                                                                                      Are You Ready?

                                                                                                                       
                                                                                                                      The following are recommended characteristics for Pro Pen Tester applicants. None of these is absolute and we encourage all potential students with general alignment to these criteria to apply for our programs

                                                                                                                      Personal Attributes

                                                                                                                      • Natural interest in research and problem solving
                                                                                                                      • Determined to excel at what you do
                                                                                                                      • Clever and analytical

                                                                                                                      Analytical Experience

                                                                                                                      • Skill in research & analysis
                                                                                                                      • Skill in critical thinking
                                                                                                                      • Understanding of basic statistics

                                                                                                                      Education

                                                                                                                      • IT certs helpful but not required
                                                                                                                      • Analytical ability trumps formal education
                                                                                                                      • AS, BS or MS in: Business or Sciences

                                                                                                                      Next Steps

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