Week 4: Leadership and Influencing Skills INTRODUCTION – Interviewing Once you’ve captured a company’s attention, knowing how to follow through is key. The Interviewing module will take you through the entire interview process, ensuring you are well-prepared from beginning to end. This module covers the different types of interviews you may encounter and what to … Read more
INTRODUCTION – AI Concepts, Terminology, and Application Areas This week’s agenda focuses on foundational AI concepts, providing an in-depth look at how AI learns and its wide range of applications. By examining the processes behind AI learning and exploring its practical uses, you will develop a strong grasp of the core principles powering this … Read more
INTRODUCTION – APIs, and Data Collection The module explores extensively the collection techniques, including database operations and manipulation using APIs as well as scraping techniques from web pages. Detailed instructions on effective data retrieval from such sources are also included. Reading and collecting data from multiple file formats is also taken up in this module … Read more
INTRODUCTION – Python Programming Fundamentals Disjointed Courses Starts from Programming with Python and goes into conditions and branching and then proceeds on to Looping to iterate the sequence and create the functions to perform specific jobs, handling exceptions for error management and finally coming to class as being the major backbone in object creation giving … Read more
INTRODUCTION – Python Programming Fundamentals Here Python’s origins commence; with this module the grade of conditionality and branching is being acquired-the incorporation of iterations in looping over sequences, the implementation of functions for specific tasks, and the handling of exceptions in catching faults would be other advanced learning objectives. Besides the significant role that this … Read more
INTRODUCTION – Working with Data in Python Introduces one to comparatively less general theoretical concepts, such as file reading and writing as the essential for managing data input and output. Further on, introduces handling of manipulated data by using Python libraries as ready-to-use power tools for doing mathematical work with data. These libraries will prepare … Read more
INTRODUCTION – History of Cybersecurity This module explains the evolution of cybersecurity as the most essential part in the understanding of terms and the roles associated with it. Learning Objectives: Explain why it is very complex to have a well-established architecture in cybersecurity. Recent statistics concerning the present state of affairs in cybersecurity. Explain key … Read more
Introduction to Detection and Incident Response The module covers the use of data structures in Python, beginning with lists and tuples. These structures allow for the storing of groups of data in one variable and facilitate the handling and operations with data included in them. Next, dictionaries are being discussed in this module, which present … Read more
INTRODUCTION – A brief overview of types of actors and their motives The module delivers an exhaustive insight on types of actors that exist in the cybersecurity arena, their motivations, and methods to perpetrate attacks. Moreover, it outlines the organization and individual impacts these attacks may have and possible tools for support during investigations in … Read more
INTRODUCTION – Generative AI for Software Development Workflows and its Considerations In this module, you will be exploring the way AI is used in DevSecOps, including some aspects of software testing and of Generative AI. Lesson 1 will provide an introduction to how AI can be applied in CI/CD (continuous integration and continuous delivery) pipelines, … Read more