Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
---|---|---|
English | Self Study | Video and Text Based |
The Google Cloud Computing Foundations certification course provides a comprehensive exploration of cutting-edge technologies, empowering students to navigate the complexities of Cloud Computing and ML. By emphasising practical skills and hands-on experience, it equips participants with a valuable skill set highly relevant to today's technology-driven landscape.
The Google Cloud Computing Foundations certification by Swayam is tailored for individuals with a foundational understanding of IT and a keen interest in delving into Cloud Computing and Machine Learning (ML). Throughout the course, students explore key concepts in Cloud and ML, which contribute to their overall undergraduate academic progress.
Also Read: Online Cloud Computing Certification Courses
Fees Informations | Certificate Availability | Certificate Providing Authority |
---|---|---|
INR 1000 | yes | IIT Kharagpur |
The Google Cloud Computing Foundations certification fees is free. However, if you want a certificate, you must register and take the proctored exam at designated centres, which is optional and comes with a fee of Rs 1000.
Google Cloud Computing Foundations Certification Fee Structure
Particulars | Total Fees |
Google Cloud Computing Foundations (exam) | Rs 1000/- |
Academic Qualifications
The Google Cloud Computing Foundations certification course is intended for individuals who have competency in at least one programming language, such as Python or Java, and familiarity with basics like shell scripting and SQL.
Certification Qualifying Details
To receive the Google Cloud Computing Foundations certification by Swayam, you need a minimum average assignment score of 10/25 and an exam score of 30/75.
After completing the Google Cloud Computing Foundations certification syllabus, you will delve into the dynamic realms of Cloud Computing and Machine Learning (ML), gaining a comprehensive understanding of these cutting-edge technologies. You will also acquire practical skills in navigating Cloud platforms and implementing ML algorithms.
Upon completion of the Google Cloud Computing Foundations training, you will learn the fundamentals of shell scripting, SQL, and programming languages like Python or Java. Additionally, you will gain the ability to apply Cloud and ML concepts in real-world scenarios, enhancing your expertise in these pivotal domains of modern IT.
The Google Cloud Computing Foundations online course is suitable for individuals with basic IT knowledge who are interested in exploring Cloud Computing and Machine Learning. This course is particularly suitable for:
Follow these steps to join the Google Cloud Computing Foundations classes:
Step 1: Browse the URL below:
https://onlinecourses.nptel.ac.in/noc23_cs90/preview
Step 2: Click on the “Sign-in/ Register” button
Step 3: Fill out the necessary details and submit the form
The Google Cloud Computing Foundations certification offers an optional exam. Your final score is determined by averaging the best 8 out of 12 assignments (25%) and your proctored exam score (75%).
Yes, it is recommended to have competency in at least one programming language such as Python or Java. This ensures a smoother understanding of the course material.
While a basic understanding of IT is beneficial, individuals with a keen interest in Cloud Computing and Machine Learning can still enrol. However, some foundational IT knowledge is advised.
The course emphasises practical skills, offering hands-on experience in navigating Cloud platforms, implementing Machine Learning algorithms, and working with programming languages like Python or Java.
Familiarity with basic tools such as shell scripting and SQL is recommended. Specific software requirements will be outlined in the course materials, and access to relevant platforms may be provided.
This course will provide you with comprehensive understanding of Cloud Computing and Machine Learning, enhancing your skills for roles like Cloud Solutions Architect, Machine Learning Engineer, Data Scientist, and more.