- Promoted by: Anonymous
- Platform: Udemy
- Category: Operating Systems & Servers
- Language: Tamil
- Instructor: ARUNNACHALAM SHANMUGARAAJAN
- Duration: 2 hour(s)
- Student(s): 5,097
- Rate 4.7 Of 5 From 12 Votes
- Expired on November 26, 2024
-
Price:
19.9911.99
Complete 30+ Professional Softwares For Computer Science
Unlock your potential with a coupon code
for the "Complete 30+ Professional Softwares For Computer Science" course by ARUNNACHALAM SHANMUGARAAJAN on Udemy.
This course, boasting a 4.7-star rating from 12 reviews
and with 5,097 enrolled students, provides comprehensive training in Operating Systems & Servers.
Spanning approximately
2 hour(s)
, this course is delivered in Tamil
and we updated the information on November 26, 2024.
To get your free access, find the coupon code at the end of this article. Happy learning!
Course Title: Mastering 30 Professional Softwares for Computer Science Engineering
Course Description:
Welcome to the ultimate journey of "Mastering 30 Professional Softwares for Computer Science Engineering." This comprehensive course is meticulously crafted to equip you with a diverse skill set, spanning a wide array of industry-standard software tools essential for success in the field of computer science engineering. Whether you're a student, software developer, IT professional, or data scientist, this course is designed to elevate your proficiency in over 30 professional-grade software applications.
What You Will Learn:
Software Development Suites:
IntelliJ IDEA: Master the leading Java integrated development environment (IDE) for efficient coding and collaboration.
Eclipse: Explore the versatile IDE used for Java development and various other programming languages.
Database Management Systems: 3. MySQL: Dive into the world of relational databases, learning to manage, query, and optimize MySQL databases.
MongoDB: Explore the NoSQL database, mastering its schema-less architecture and scalability.
Network Simulation Tools: 5. Cisco Packet Tracer: Develop hands-on networking skills by simulating and analyzing network
Machine Learning and AI Frameworks: 7. TensorFlow: Explore the open-source machine learning framework for building and training deep learning models.
PyTorch: Master the dynamic deep learning framework widely used for research and development.
Virtualization Platforms: 13. VirtualBox: Explore the open-source virtualization platform for creating and managing virtual machines.
VMware: Master the industry-leading virtualization software for server and desktop virtualization.
Version Control Systems: 19. Git: Master the distributed version control system used for tracking changes in source code during software development.
GitHub: Explore the collaborative platform for version control and team collaboration.
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