Cybrary - Microcertification

Analysis of different instances inculcating Network Security implementations in real-time applications,with hands-on illustration on some use cases.
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Internshala

HTML, CSS, Bootstrap, DBMS, PHP, Vanilla and React JS
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NPTEL(IIT MADRAS)

Short evaluation on scripting, Networking basics, Introduction to Kali Linux - Layer 2 and Layer 3 Discovery using Kali Linux with demo/practice - Layer 4 discovery using Kali Linux with demo/practice - Port scanning feature in Kali Linux with demo/practice - Fingerprinting (Specific OS details and vulnerabilities) in Kali Linux with demo/practice - DoS and Web Application Scanning in Kali Linux with demo/practice - Automating Kali Linux with tools - Network Forensics: An introduction and acquisition of evidence - Analysis and tools of network packets and flows - Unplugged: Wireless Network Forensics – Tools and Scripts - Network Forensics: Intrusion and Detection using Snort tool - Network Forensics: Network devices (Switches, Routers, Firewalls) and Proxies.
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Cybrary

Ethical Hacking, Footprinting and Reconnaissance, Scanning and Enumeration, System Hacking, Network and Perimeter Hacking, Web Application Hacking, Wireless Network Hacking, Mobile Hacking, IoT hacking, Cloud Computing, Cryptography
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Cybrary

Networking Concepts, IP Addresses, Network Infrastructure, Virtualisation, Network Security, Network Operations, Network Troubleshooting, Risk Management & Emerging Technologies
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Cybrary

Physical layer, Data Link layer, Network layer, Transport layer, Additional layers & Protocols
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Google Cloud

Establish a Cloud Identity domain for their organization or personal domain, Add users to practice user lifecycle management, Modify user permissions to gain an understanding of core Cloud Identity features, Add mobile devices within the Google Mobile Management module, Modify mobile management policy sets to gain familiarity with product options, Navigate the Reports module, and practice running reports, Explore and apply different security protocols to the domain.
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DeepLearning.AI

Learn advanced techniques to improve the computer vision models built. Explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer “sees” information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, introduced to transfer learning and how learned features can be extracted from model.
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International Journal of Engineering and Computer Science (IJECS)

ISSN:2319-7242Volume 7 Issue 4 April 2018, Page No. 23860-23865Index Copernicus Value (2015): 58.10, 76.25 (2016),DOI: 10.18535/ijecs/v7i4.10
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2nd International Conference on Recent Trends in Science Technology and Management

International Journal of Research in Engineering,IT and Social Sciences,ISSN 2250-0588,Impact Factor:6.452,Volume 08,Special Issue,May 2018,Page 113-119
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International Journal of Advance Research, Ideas and Innovations in Technology

ISSN:2454-132X,Impact factor: 4.295 (Volume 5,Issue 1)
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International Conference on Recent Trends in Computer and Applied Sciences

International Journal of Linguistics and Computational Applications (IJLCA),ISSN 2394-6385,Volume 7,Issue 2,April –June 2020,DOI: 10.30726/ijlca/v7.i2.2020.72004
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7th International Conference for Convergence in Technology (I2CT)

IEEE Explore, DOI: 10.1109/I2CT54291.2022.9824197, Electronic ISBN:978-1-6654-2168-3
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Book Title : Enabling Technologies for Effective Planning and Management in Sustainable Smart Cities

Springer Nature, DOI : 10.1007/978-3-031-22922-0_2, Online ISBN : 978-3-031-22922-0
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