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Network Security A-Z : Computer Networking + Cybersecurity
Course Description:
Become a PRO in Cyber Security, Computer Networking, Web Application Penetration Testing, Ethical Hacking and Bug Bounty
Publisher:
We Secure
Detailed Description of the Course:
THE ALL IN ONE MASTERCLASS COURSE IS HERE!
Get acquainted yourself with Computer Networking, Cybersecurity, Ethical Hacking, Web Application Penetration Testing, and Bug Bounty Hunting in ONE SINGLE COURSE!
What is Network Security?
Network security is the process of taking preventative measures to protect the underlying networking infrastructure from unauthorized access, misuse, malfunction, modification, destruction, or improper disclosure.
The Internet has undoubtedly become a huge part of our lives. Many people in today’s generation rely on the Internet for many of their professional, social, and personal activities. But are you sure your network is secure?
This course has been designed by two professional Cybersecurity Experts so that we can share our knowledge and help you learn complex networking concepts, ethical hacking technologies in a simple way.
We will walk you step-by-step into the World of Network Security, Ethical Hacking, and Cybersecurity. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Network Security.
This course is fun and exciting, but at the same time, we dive deep into Ethical Hacking. It is structured the following way:
Section 1: Introduction to the Course and how to benefit from this course!
Section 2: Complete Computer Networking for Cybersecurity and Ethical Hacking
Section 3: Getting Started with Cybersecurity!
Section 4: Fundamentals of Cybersecurity
Section 5: Key Network Security Concepts
Section 6: Introduction to Ethical Hacking
Section 7: Setting up your own Penetration Testing Lab
Section 8: Information Gathering – Reconnaissance
Section 9: Scanning and Enumeration
Section 10: Vulnerability Assessment and Penetration Testing
Section 11: Firewall
Section 12: Web Application Penetration Testing
Section 13: Denial of Service
Section 14: Malware Threats
Section 15: Social Engineering – The Art of Human Exploitation
Section 16: Cryptography – Securing your Data
Section 17: Writing a Penetration Testing Report
Section 18: BONUS Section!
Moreover, the course is packed with practical exercises that are based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice securing live web applications! And as a bonus, this course includes a step-by-step guide to BUG BOUNTY HUNTING along with drafting penetration testing reports.
At the end of each section, you will learn how to detect, prevent, and secure systems and yourself from the discussed attacks. All the techniques in this course are practical and work against real systems, you’ll understand the whole mechanism of each technique first, then you’ll learn how to use it to hack into the target system. By the end of the course, you’ll be able to modify these techniques to launch more powerful attacks and adapt them to suit different situations and different scenarios.
With this course, you’ll get 24/7 support, so if you have any questions you can post them in the Q&A section and we’ll respond to you within 48 hours.
Machine Learning- From Basics to Advanced
Course Description:
A beginners guide to learn Machine Learning (including Hands-on projects – From Basic to Advance Level)
Publisher:
EDYODA DIGITAL UNIVERSITY, AWANTIK DAS
Detailed Description of the Course:
If you are looking to start your career in Machine learning then this is the course for you.
This is a course designed in such a way that you will learn all the concepts of machine learning right from basic to advanced levels.
This course has 5 parts as given below:
- Introduction & Data Wrangling in machine learning
- Linear Models, Trees & Preprocessing in machine learning
- Model Evaluation, Feature Selection & Pipelining in machine learning
- Bayes, Nearest Neighbors & Clustering in machine learning
- SVM, Anomalies, Imbalanced Classes, Ensemble Methods in machine learning
For the code explained in each lecture, you can find a GitHub link in the resources section.
Who’s teaching you in this course?
I am Professional Trainer and consultant for Languages C, C++, Python, Java, Scala, Big Data Technologies – PySpark, Spark using Scala Machine Learning & Deep Learning- sci-kit-learn, TensorFlow, TFLearn, Keras, h2o and delivered at corporates like GE, SCIO Health Analytics, Impetus, IBM Bangalore & Hyderabad, Redbus, Schnider, JP Morgan – Singapore & HongKong, CISCO, Flipkart, MindTree, DataGenic, CTS – Chennai, HappiestMinds, Mphasis, Hexaware, Kabbage. I have shared my knowledge that will guide you to understand the holistic approach towards ML.
Machine learning is the fuel we need to power robots, alongside AI. With Machine Learning, we can power programs that can be easily updated and modified to adapt to new environments and tasks to get things done quickly and efficiently.
Here are a few reasons for you to pursue a career in Machine Learning:
1) Machine learning is a skill of the future – Despite the exponential growth in Machine Learning, the field faces skill shortage. If you can meet the demands of large companies by gaining expertise in Machine Learning, you will have a secure career in a technology that is on the rise.
2) Work on real challenges – Businesses in this digital age face a lot of issues that Machine learning promises to solve. As a Machine Learning Engineer, you will work on real-life challenges and develop solutions that have a deep impact on how businesses and people thrive. Needless to say, a job that allows you to work and solve real-world struggles gives high satisfaction.
3) Learn and grow – Since Machine Learning is on the boom, by entering into the field early on, you can witness trends firsthand and keep on increasing your relevance in the marketplace, thus augmenting your value to your employer.
4) An exponential career graph – All said and done, Machine learning is still in its nascent stage. And as the technology matures and advances, you will have the experience and expertise to follow an upward career graph and approach your ideal employers.
5) Build a lucrative career– The average salary of a Machine Learning engineer is one of the top reasons why Machine Learning seems a lucrative career to a lot of us. Since the industry is on the rise, this figure can be expected to grow further as the years pass by.
6) Side-step into data science – Machine learning skills help you expand avenues in your career. Machine Learning skills can endow you with two hats- the other of a data scientist. Become a hot resource by gaining expertise in both fields simultaneously and embark on an exciting journey filled with challenges, opportunities, and knowledge.
Machine learning is happening right now. So, you want to have an early bird advantage of toying with solutions and technologies that support it. This way, when the time comes, you will find your skills in much higher demand and will be able to secure a career path that’s always on the rise.
Enroll Now!! See You in Class.
Happy learning
Team Edyoda
Search Engine Optimization Complete Specialization Course
Course Description:
Enter the world of Digital Marketing with this specialized SEO course covering everything with practical examples
Publisher:
Khushank Raj Mahawan
Detailed Description of the Course:
Welcome to the World’s best specialized SEO course ever.
The course cover everything from theory to practical with case studies and examples. This is the only course in the world where you woll also learn about the technicalities of SEO and how to handle them.
The content of this course is based on real world practices and checklists used by professionals in the SEO world.
You will learn about
Google Search engine
Google algorithms
WordPress development
Bootstrap
Shopify
Tools for SEO
On-page optimization
Technical SEO
Off-page Optimization
How to get a job in SEO?
How to start your own digital marketing company?
Python Complete Course For Python Beginners
Course Description:
Python Complete Course For Python Beginners.Learn Python From Beginner To Advanced Level
Publisher:
Horizon Tech
Detailed Description of the Course:
Learn Python From Beginner To Advanced Level
- I’ve created thorough, extensive, but easy to follow content which you’ll easily understand and absorb.
The course starts with the basics, including Python fundamentals, programming, and user interaction.
The curriculum is going to be very hands-on as we walk you from start to finish becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real-life practice and be ready for the real world.
- The topics covered in this course are:
* Beginner to Expert Python contents:
Array implementation
File methods
Keywords and Identifiers
Python Tuples
Python Basics
Python Fundamentals
Data Structures
Object-Oriented Programming with Python
Functional Programming with Python
Lambdas
Decorators
Generators
Testing in Python
Debugging
Error Handling
Regular Expressions
Comprehensions
Modules
- See you inside the course!
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