Cisco Cyber Security Fundamentals


Cybersecurity is the practice of protecting systems, networks, and programs from digital attacks. These attacks are usually aimed at accessing, changing, or destroying sensitive information; extorting money from users; or interrupting normal business processes. Implementing effective cybersecurity measures is particularly challenging today because there are more devices than people, and attackers are becoming more innovative. This course helps you to prepare for beginning and associate level roles in cybersecurity operations. You will learn how to protect personal data and privacy online and in social media and why more IT jobs require cybersecurity awareness and understanding. The course focuses on security principles and technologies, using Cisco security products to provide hands-on examples. This course allows students to understand common security concepts and learn about the basic security techniques used in a Security Operations Center (SOC) to find threats on a network using a variety of popular security tools within a "real-life" network infrastructure.

Course Objectives

  • Describe, compare, and identify various network concepts
  • Understand the fundamentals of TCP/IP
  • Describe and compare fundamental security concepts
  • Describe network applications and their security challenges
  • Understand basic cryptography principles
  • Understand endpoint attacks, including interpreting log data to identify events in Windows and Linux
  • Develop knowledge in security monitoring, including identifying sources and types of data and events

Machine Learning Fundamentals

Over the last one decade, Machine Learning has completely changed the way we view the world around us. But what is Machine Learning? It is the science of having computers to act intelligently without being explicitly programmed. Machine Learning has given us driver-less cars, speech recognition in every appliance and products we use at our home, better search engines and more. Machine learning has become so ingrained in our lives that we do not even know that we are using in many ways than we could imagine. This course will enable you to learn about the most effective machine learning techniques and gain practice by implementing and working with them. More importantly, you will understand not only the theoretical underpinnings of machine learning, but also gain practical know-how needed to quickly and successfully apply these techniques to new problems. Finally, you will learn about some of best practices in innovation in machine learning This course will introduce you to machine learning, datamining, and statistical pattern recognition. You will also learn from numerous case studies and applications during the duration of this course, besides learning to apply algorithms for building smart gadgets and machines.

Course Objectives

  • Understanding Machine Learning
  • Linear Regression with One Variable
  • Linear Algebra
  • Linear Regression with Multiple Variables
  • Octave/Matlab
  • Logistic Regression
  • Regularization
  • Machine Learning System Design
  • Vector Machines
  • Unsupervised Learning
  • Anomaly Detection
  • Recommender Systems
  • Large Scale Machine Learning
  • Application Example: Photo OCR