SANS San Francisco East Bay 2020
Event submitted on Tuesday, October 1st 2019, approved by Content Team ✓
This event has been tagged as follows:
We encouraged you to attend this event even if you are just a beginner because you will surely learn a lot from their courses. We know some of the SANS instructors and they are really good and can provide essential information/knowledge.
Conference Event Summary
The following description was either submitted by the Conference Organizer on Tuesday, October 1st 2019, or created by us.
SANS is recognized around the world as one of the best places to develop the deep, hands-on cybersecurity skills most needed right now. Join the SANS San Francisco East Bay 2020 for an immersion training that will provide you with the skills to defend your company against security breaches and prevent future attacks. The mission of SANS is to deliver cutting-edge information security knowledge and skills to all students in order to protect assets and people. At the heart of everything we do is the SANS Promise: Students will be able to use the new skills they have learned as soon as they return to their office. See that promise in action at this new event! Register now.
Top Reasons to Attend SANS San Francisco East Bay 2020:
– Skill Development: Develop top-notch skills that will set you up for success in cybersecurity
– Unparalleled Courses: Cutting-edge courseware covering today’s relevant topics taught by real-world practitioners
– Location: Join SANS for unparalleled cybersecurity training at this new location in Emeryville, nestled on the waterfront at the foot of the Bay Bridge.
– Real-World Applicability: The SANS Promise is that you will be able to apply the skills you learn as soon as you return to work.
“SEC401 provided a vast library of information on developing a strong security posture, and in the course of the training, my brain shifted into a ‘security-first’ gear thanks to the intense and deep exposure to the multitudinous recommendations for securing an organization’s network and data.” – Laura Farvour, University of Minnesota