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Introduction to Cloud Computing

Master cloud computing essentials, from infrastructure to ML engineering. Build practical solutions using AWS, GCP, and Azure.

Master cloud computing essentials, from infrastructure to ML engineering. Build practical solutions using AWS, GCP, and Azure.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Introduction to Cloud Computing Professional Certificate program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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Introduction to Cloud Computing

This course includes

8 Months

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,24,541

What you'll learn

  • Build cloud computing infrastructure using Agile techniques

  • Design cloud-native systems with containers and microservices

  • Implement data engineering solutions in cloud environments

  • Develop ML applications using AutoML and MLOps

  • Create a portfolio of practical cloud computing projects

Skills you'll gain

Cloud Computing
AWS
Azure
GCP
Containerization
MLOps
Microservices
Cloud Infrastructure
DevOps
Machine Learning

This course includes:

16 Hours PreRecorded video

Access on Mobile, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 8 modules in this course

This comprehensive professional certificate program covers the complete spectrum of cloud computing technologies. Through eight specialized courses, students progress from foundational concepts to advanced implementations across major cloud platforms. The curriculum includes hands-on projects building cloud infrastructure, working with containers and microservices, implementing data engineering solutions, and developing machine learning applications. Students create a portfolio of real-world projects including serverless websites, containerized applications, and ML-powered solutions. The program covers AWS, GCP, and Azure fundamentals, providing a broad understanding of cloud platforms.

Fee Structure

Payment options

Financial Aid

Introduction to Cloud Computing

This course includes

8 Months

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,24,541

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.