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Home / Emerging Technologies for Corporate / Ethical Hacking Course in Victoria
"The most in-demand job in the IT security field today is of an Ethical Hacker. According to the Bureau of Labor Statistics, this sector is expected to grow by 25% by the year 2025." - (Source). The Certified Ethical Hacker is a highly valued credential in the industry today. With a steady rise in cybercrime, international conflicts, and terrorist organizations funding cybercriminals to hack into security systems and extort huge amounts of information to compromise national security features. Ethical hackers are hired by organizations that understand the need to improve the security footprint and combat the growing danger to IT security. New bugs, malware, and viruses that are increasing every day are creating a need for ethical hacking services to safeguard the networks. Ethical hackers get recruited by the finest and biggest companies in healthcare, financial, government, energy, and much more. Their primary job is to Implement a secure network to prevent security breaches and defend national security by protecting the data from the terrorist organization. The average cost of a data breach is expected to reach $160 million by 2025. This Ethical Hacking Course will expose you to how the damage is caused by hacking and the various tools and techniques involved in it.
Total Duration
40 Hours
Prerequisites
Certification in Ethical Hacking course unfolds an entire world dedicated to recovering vital information if used for harmful intent could pose a serious threat to a nation, government agencies, or big organization causing serious reputational and financial loss. Ethical Hacking allows security professionals to gain expertise in the various hacking techniques and tools used to break into a system and to identify the areas of potential threat so that suitable counter-steps may be taken. This course will introduce you to ethical hacking, virus, bugs, worms, Linux hacking, footprinting, reconnaissance, legality, and ethics. Other topics covered will include hacking, networking, scanning, hacking web servers, proxy servers, social engineering, windows hacking, sniffers, testing penetration, and assessment of vulnerabilities. Understand how hackers use various tools to initiate attacks on various systems, computers, users, websites, and wireless networks. The course will start with the basics of how the system works and then move on to discuss its weaknesses. Students will learn to write Python programs to hack using backdoors, keyloggers, network hacking tools, credential harvesters, website hacking tools. The course will enable you to build your security and hacking tools with Python programs. What do you mean by Ethical Hacking? Ethical hacking is a practice of bypassing and scrutinizing internal servers and systems to locate any possibility of potential data breaches and threats in a network. In today’s world, where social media has led to growing interplay between humans and technology, we need someone with vital skills to stay ahead of potential threats. This process is called Ethical hacking because it is planned, approved, and legal, unlike malicious hacking which is becoming increasingly popular because of the Internet and E-Commerce. An Ethical Hacker looks into the weakness of the system or networks that malicious hackers can exploit or destroy and arrives at solutions that can prevent data breaches. Ethical hackers look into injection attacks, security settings, networks, exposure to sensitive data, or violation in authentication protocols to see if there is any stealing of valuable information or financial gain.
360DigiTMG Ethical Hacking Course as a career has a positive outlook in the near future. A certification in Ethical Hacking will guarantee an eventual chance of getting a job in reputed companies. Ethical hackers find loopholes and fix problems in systems, networks, or applications. They are the noble people of the hacking world and are also known as the White Hats. This course on Ethical hacking aims to expose you to the various methodologies involved in ethical hacking and takes you through Cyber Security concepts that will help you to know how to discover and report vulnerabilities in a network. They will learn about the entire penetration testing procedure that will include, reconnaissance, scanning, exploitation, post-exploitation, and result reporting. Students will also develop a practical understanding of legal and ethical issues associated with ethical hacking. Practical tasks will be used to strengthen the theory that will encourage an analytical and problem-based approach to ethical hacking. Another important focus of the course is understanding social engineering to gain personal information or infiltrate computer systems. By the end of the course, you will be able to design and plan an assessment and carry out penetration testing for a network using standard hacking tools and techniques ethically including Reconnaissance, Social Engineering, SQL Injection, Hacking Web servers, Hacking Wireless Networks, etc. If you do this course on Ethical hacking you will also learn to be detail-oriented and develop skills in collaboration and communication.
Block Your Time
184 hours
Live Online Sessions
150+ hours
Assignments
120 hours
Live Projects
Who Should Sign Up?
This Data Science Program follows the CRISP-ML(Q) Methodology. The premier modules are devoted to a foundational perspective of Statistics, Mathematics, Business Intelligence, and Exploratory Data Analysis. The successive modules deal with Probability Distribution, Hypothesis Testing, Data Mining Supervised, Predictive Modelling - Multiple Linear Regression, Lasso And Ridge Regression, Logistic Regression, Multinomial Regression, and Ordinal Regression. Later modules deal with Data Mining Unsupervised Learning, Recommendation Engines, Network Analytics, Machine Learning, Decision Tree and Random Forest, Text Mining, and Natural Language Processing. The final modules deal with Machine Learning - classifier techniques, Perceptron, Multilayer Perceptron, Neural Networks, Deep Learning Black-Box Techniques, SVM, Forecasting, and Time Series algorithms. This is the most enriching training program in terms of the array of topics covered.
Learn about insights on how data is assisting organizations to make informed data-driven decisions. Gathering the details about the problem statement would be the first step of the project. Learn the know-how of the Business understanding stage. Deep dive into the finer aspects of the management methodology to learn about objectives, constraints, success criteria, and the project charter. The essential task of understanding business Data and its characteristics is to help you plan for the upcoming stages of development. Check out the CRISP - Business Understanding here.
In this module, you will learn about dealing with the Data after the Collection. Learn to extract meaningful information about Data by performing Uni-variate analysis which is the preliminary step to churn the data. The task is also called Descriptive Analytics or also known as exploratory data analysis. In this module, you also are introduced to statistical calculations which are used to derive information along with Visualizations to show the information in graphs/plots
The raw Data collected from different sources may have different formats, values, shapes, or characteristics. Cleansing, or Data Preparation, Data Munging, Data Wrapping, etc., are the next steps in the Data handling stage. The objective of this stage is to transform the Data into an easily consumable format for the next stages of development.
Learn the preliminaries of the Mathematical / Statistical concepts which are the foundation of techniques used for churning the Data. You will revise the primary academic concepts of foundational mathematics and Linear Algebra basics. In this module, you will understand the importance of Data Optimization concepts in Machine Learning development. Check out the Mathematical Foundations here.
Data mining unsupervised techniques are used as EDA techniques to derive insights from the business data. In this first module of unsupervised learning, get introduced to clustering algorithms. Learn about different approaches for data segregation to create homogeneous groups of data. In hierarchical clustering, K means clustering is the most used clustering algorithm. Understand the different mathematical approaches to perform data segregation. Also, learn about variations in K-means clustering like K-medoids, and K-mode techniques, and learn to handle large data sets using the CLARA technique.
Dimension Reduction (PCA and SVD) / Factor Analysis Description: Learn to handle high dimensional data. The performance will be hit when the data has a high number of dimensions and machine learning techniques training becomes very complex, as part of this module you will learn to apply data reduction techniques without any variable deletion. Learn the advantages of dimensional reduction techniques. Also, learn about yet another technique called Factor Analysis.
Learn to measure the relationship between entities. Bundle offers are defined based on this measure of dependency between products. Understand the metrics Support, Confidence, and Lift used to define the rules with the help of the Apriori algorithm. Learn the pros and cons of each of the metrics used in Association rules.
The study of a network with quantifiable values is known as network analytics. The vertex and edge are the nodes and connection of a network, learn about the statistics used to calculate the value of each node in the network. You will also learn about the google page ranking algorithm as part of this module.
Learn to analyse unstructured textual data to derive meaningful insights. Understand the language quirks to perform data cleansing, extract features using a bag of words and construct the key-value pair matrix called DTM. Learn to understand the sentiment of customers from their feedback to take appropriate actions. Advanced concepts of text mining will also be discussed which help to interpret the context of the raw text data. Topic models using LDA algorithm, emotion mining using lexicons are discussed as part of NLP module.
Revise Bayes theorem to develop a classification technique for Machine learning. In this tutorial, you will learn about joint probability and its applications. Learn how to predict whether an incoming email is spam or a ham email. Learn about Bayesian probability and its applications in solving complex business problems.
k Nearest Neighbor algorithm is a distance-based machine learning algorithm. Learn to classify the dependent variable using the appropriate k value. The KNN Classifier also known as a lazy learner is a very popular algorithm and one of the easiest for application.
In this tutorial, you will learn in detail about the continuous probability distribution. Understand the properties of a continuous random variable and its distribution under normal conditions. To identify the properties of a continuous random variable, statisticians have defined a variable as a standard, learning the properties of the standard variable and its distribution. You will learn to check if a continuous random variable is following normal distribution using a normal Q-Q plot. Learn the science behind the estimation of value for a population using sample data.
Learn to frame business statements by making assumptions. Understand how to perform testing of these assumptions to make decisions for business problems. Learn about different types of Hypothesis testing and its statistics. You will learn the different conditions of the Hypothesis table, namely Null Hypothesis, Alternative hypothesis, Type I error, and Type II error. The prerequisites for conducting a Hypothesis test, and interpretation of the results will be discussed in this module.
Data Mining supervised learning is all about making predictions for an unknown dependent variable using mathematical equations explaining the relationship with independent variables. Revisit the school math with the equation of a straight line. Learn about the components of Linear Regression with the equation of the regression line. Get introduced to Linear Regression analysis with a use case for the prediction of a continuous dependent variable. Understand about ordinary least squares technique.
In the continuation of the Regression analysis study, you will learn how to deal with multiple independent variables affecting the dependent variable. Learn about the conditions and assumptions to perform linear regression analysis and the workarounds used to follow the conditions. Understand the steps required to perform the evaluation of the model and to improvise the prediction accuracies. You will be introduced to concepts of variance and bias.
You have learned about predicting a continuous dependent variable. As part of this module, you will continue to learn Regression techniques applied to predict attribute Data. Learn about the principles of the logistic regression model, understand the sigmoid curve, and the usage of cut-off value to interpret the probable outcome of the logistic regression model. Learn about the confusion matrix and its parameters to evaluate the outcome of the prediction model. Also, learn about maximum likelihood estimation.
Learn about overfitting and underfitting conditions for prediction models developed. We need to strike the right balance between overfitting and underfitting, learn about regularization techniques L1 norm and L2 norm used to reduce these abnormal conditions. The regression techniques of Lasso and Ridge techniques are discussed in this module.
Extension to logistic regression We have multinomial and Ordinal Logistic regression techniques used to predict multiple categorical outcomes. Understand the concept of multi-logit equations, baseline, and making classifications using probability outcomes. Learn about handling multiple categories in output variables including nominal as well as ordinal data.
As part of this module, you learn further different regression techniques used for predicting discrete data. These regression techniques are used to analyze the numeric data known as count data. Based on the discrete probability distributions namely Poisson, negative binomial distribution the regression models try to fit the data to these distributions. Alternatively, when excessive zeros exist in the dependent variable, zero-inflated models are preferred, you will learn the types of zero-inflated models used to fit excessive zeros data.
Support Vector Machines / Large-Margin / Max-Margin Classifier
Kaplan Meier method and life tables are used to estimate the time before the event occurs. Survival analysis is about analyzing the duration of time before the event. Real-time applications of survival analysis in customer churn, medical sciences, and other sectors are discussed as part of this module. Learn how survival analysis techniques can be used to understand the effect of the features on the event using the Kaplan-Meier survival plot.
Decision Tree models are some of the most powerful classifier algorithms based on classification rules. In this tutorial, you will learn about deriving the rules for classifying the dependent variable by constructing the best tree using statistical measures to capture the information from each of the attributes.
Learn about improving the reliability and accuracy of decision tree models using ensemble techniques. Bagging and Boosting are the go-to techniques in ensemble techniques. The parallel and sequential approaches taken in Bagging and Boosting methods are discussed in this module. Random forest is yet another ensemble technique constructed using multiple Decision trees and the outcome is drawn from the aggregating the results obtained from these combinations of trees. The Boosting algorithms AdaBoost and Extreme Gradient Boosting are discussed as part of this continuation module. You will also learn about stacking methods. Learn about these algorithms which are providing unprecedented accuracy and helping many aspiring data scientists win first place in various competitions such as Kaggle, CrowdAnalytix, etc.
Time series analysis is performed on the data which is collected with respect to time. The response variable is affected by time. Understand the time series components, Level, Trend, Seasonality, Noise, and methods to identify them in a time series data. The different forecasting methods available to handle the estimation of the response variable based on the condition of whether the past is equal to the future or not will be introduced in this module. In this first module of forecasting, you will learn the application of Model-based forecasting techniques.
In this continuation module of forecasting learn about data-driven forecasting techniques. Learn about ARMA and ARIMA models which combine model-based and data-driven techniques. Understand the smoothing techniques and variations of these techniques. Get introduced to the concept of de-trending and de-seasonalize the data to make it stationary. You will learn about seasonal index calculations which are used to re-seasonalize the result obtained by smoothing models.
The Perceptron Algorithm is defined based on a biological brain model. You will talk about the parameters used in the perceptron algorithm which is the foundation of developing much complex neural network models for AI applications. Understand the application of perceptron algorithms to classify binary data in a linearly separable scenario.
Neural Network is a black box technique used for deep learning models. Learn the logic of training and weights calculations using various parameters and their tuning. Understand the activation function and integration functions used in developing a Artificial Neural Network.
Cybercrimes are on the rise and as an Ethical hacker, you will be put to test against the clock to find and fix vulnerabilities and prevent fraud. The digitalizing of communication and more connectivity between countries and people has increased the scope of a certified ethical hacker. The average cost of a data breach is expected to reach $160 million by 2025. The need for strong cybersecurity has never been so crucial for organizations, companies, and government institutions who are now expeditiously hiring ethical hackers to examine their systems and keep them safe and secure from hackers. With businesses and organizations going cloud, the focus has shifted to securing the cloud computing platforms from malicious hackers. The latest methodologies such as pen testing are used to identify threats in Cloud Computing and developing countermeasures to defeat such attacks.
Today most devices and applications are accessible across multiple browsers, systems, and mobile platforms. These digital platforms have emerged a new bearing for hackers that has led to the development of mobile technologies and countermeasures to secure mobile infrastructure. Another trend to invade the space of security is the spread of AI usage which is becoming a perfect channel to prevent and predict Cyber-attacks. It is used for scanning and exposing unusual patterns not prescribed by the algorithm. Complete knowledge and thorough understanding of Information Security Controls, Laws, and Standards are now a vital part of Ethical Hacking Course. Certification in Ethical Hacking Course is the most advanced hacking course that allows information security hacking professionals to master the latest hacking techniques and tools.
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With cybercrime on the rise, there is an abiding need for ethical hackers to fight against the growing threat to the IT industry. As a Certified Ethical hacker, you will get a chance to work with the best companies across varied industries like banks, hotels, healthcare, government, and many more.
A Bachelor’s degree in IT/Engineering/B.sc or any advanced networking course or working knowledge of operating systems.
As such no prior work experience is required to join this Ethical Hacking course, the candidate is only required to have some knowledge of the basic concepts of networking, databases, and operating systems. It will be an added advantage if the candidate has experience in network security.
After the candidate completes the course and submits his assignments timely, he/she will receive a completion certificate from 360DigiTMG in association with AiSPRY, a consulting firm in the space of emerging technologies.
The trainer student ratio in a classroom environment is 15:1 and in an online session, the ratio is close to 25:1. Complete assistance and attention is given to each student and this is strengthened by assigning a mentor to each enrolled candidate.
Once you have completed the admission formalities you will receive access to our online Learning Management System AISPRY. All the course-related material and assignments are available which you can download from AISPRY. You will be then assigned a Mentor who will guide you throughout your tenure with us.
Yes, once a student completes his training and submits all the assignments, he/she will get a Completion Certificate, Thereafter, they are eligible for an internship with AiSPRY. where the student gets hands-on knowledge and is part of a live project with AiSPRY. At the end of his internship, he will receive an Internship Certificate.
After the completion of this course, you are eligible to work as a Network Security System Administrator, Security Investigator, Network Security Engineer, Security Auditor, Ethical Hacker, etc.
Absolutely, we guarantee job assistance to each candidate and assist him in resume building and then forward his resumes to reputed companies. The candidate also gets access to mock sessions to prepare him for the Interview.
Yes, this Ethical Hacking course is available online also. We provide both modes of training for students as well as working professionals. E-learning is a part of our curriculum.
The need for cyber and system security is present in all these fields and Ethical Hacking is a great job choice for the present as well as the future scenario. One can work as an Information Security Analyst, Certified Ethical Hacker (CEH), Ethical Hacker, Penetration Tester, etc.
Cyber-security has become a priority for organizations, governments, businesses, and individuals resulting in high demand for ethical hackers that are detail oriented and focus problem solvers. A Certified Ethical Hacker (CEH) gets an average salary of $54k to $144k in Victoria.
As a hacker, you will be developing policies and giving valuable feedback to organizations to avoid cyberattacks. The other projects one can do are developing a fingerprinting tool for a Web server, demonstration of IP spoofing, or designing a Spy Drone that cracks passwords.
Open source tools allow the IT department to carry an assessment of the security on their own. These tools guide hackers during the testing process and prevent intrusion into sensitive details such as passwords, usernames, and bank details. Some examples of open source tools are Snort, the Metasploit Project, John the Ripper, etc.
The course in Victoria is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.
Ethical hacking is used across many industries that wish to fight back against cyber threats like banks, hotels, airlines, telecom companies, Information Technology Enabled Services (ITES) companies, outsourcing units, Internet companies, e-commerce ventures, police departments or government agencies. .
360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.
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I've reached a major milestone in my Data Analytics internship with 360DigiTMG. With guidance from experienced mentors, they’ve really helped me get closer to reaching my goals. Embrace the valuable knowledge and skills gained and continue leveraging this opportunity to excel in the dynamic field of data analytics.
I'm Sai Manikanta, delighted to share my internship journey at 360DigiTMG. This internship has been a great opportunity for me to expand my limits and gain new skills. Diverse activities provided profound insights, shaping a promising future. Grateful for this opportunity, I eagerly anticipate forthcoming outcomes.
The data analytics program was truly outstanding! The meticulously structured classes and enthusiastic instructors made learning both enjoyable and engaging. With this extensive knowledge at my disposal, I am not only confident but also eager to make significant strides in the field of data analytics.
One of the best institutes for training in Hyderabad. I am done with the Data science and Machine Learning course here. Trainers are highly educational and instructive. Invaluable experience gained through live projects, enhancing technical familiarity. Additional value provided through helpful working sessions further enriches the learning journey.
The teacher and staff are highly skilled at their jobs. They teach in a way that's easy to understand and interesting. They know a lot about the subject, so learning from them is great. The teacher plans everything well and explains hard stuff with lots of examples using Excel.
It was a wonderful experience for me as an intern to work in 360digitmg. This internship had made me become an expert in the field of data analytics which had greatly motivated me and Working with real-time datasets provided invaluable experience, enhancing my skills significantly.
It was an awesome experience at 360Digitmg, offering the best resources and fostering excellent interaction. Working on real-life projects under expert supervision provided invaluable learning opportunities. Overall, it was a highly rewarding learning experience that contributed significantly to my growth and career advancement.
I found a great coaching institute in Chennai for data-related courses. I completed a successful data analytics program there. The trainers were skilled and supportive, especially Vijay, who made learning Python easy. Thanks to him and 360DigiTMG. I also learned Data Analytics with SQL, Tableau, and Excel.
360DigiTMG institute offers an exceptional learning experience, excelling in data science and machine learning. Despite lacking coding background, tutors ensured effective learning, making concepts easily understandable. Tutorial sessions covered job interview prep and case studies, with Mind maps boosting confidence. Highly recommend this Bangalore institute for data-related courses.
Excited for upcoming internships, confident in my improved skills from the program. Explored new territories and gained invaluable experience. Ready to apply newfound knowledge and continue growing in future opportunities. Grateful for the journey so far, eager for what's ahead.
360DigiTMG institute offers one place where the course curriculum is so good and teacher training, equipping students with skills for their dream job. Grateful for the internship experience, including live projects, resume building, presentation practice, and interview preparation sessions. Enhanced confidence for future interviews. Thank you, 360DigiTMG, for the invaluable learning journey.
The data analytics with python course in the best coaching centre in Chennai. Finished the course well and worked on practical tasks. This helped me build my professional experience. By participating in interview preparation and project presentation sessions, I realized that I could present myself confidently to an interview.
During my internship at 360DigiTMG, I gained invaluable experience, expanding my knowledge significantly. The opportunity provided a rich learning environment, fostering personal and professional growth. Grateful for the wonderful experience and the skills acquired, which will undoubtedly shape my future endeavours.
Great institute! Exceptional learning experience, especially in data science and machine learning. Tutors adeptly simplified complex concepts despite my coding limitations. Varied tutorial sessions prepared us for job interviews with insightful case studies. Mind maps boosted confidence. Highly recommend this Bangalore-based institute for data-related courses.
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