Item #:
157033499
The Self-Taught Cloud Computing Engineer: A comprehensive professional study guide to AWS, Azure, and GCP
88% of respondents would recommend this to a friend
Item #:
157033499
TTD 468
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What Stands Out
Comprehensive Coverage
This guide offers in-depth insights into AWS, Azure, and GCP, empowering self-taught engineers with essential knowledge to navigate cloud platforms effectively and enhance their professional skills.
Up-to-Date Content
Published in September 2023, the book ensures relevance with the latest cloud computing trends, tools, and best practices, equipping readers with current industry standards and techniques.
Self-Paced Learning
Designed for self-learners, this study guide allows readers to progress at their own pace, making it ideal for busy professionals seeking to gain expertise in cloud computing without rigid schedules.
Product Details
- Comprehensive study guide for cloud computing covering AWS, Azure, and GCP
- Teaches cloud computing fundamentals, data, machine learning, and security
- Includes real-life industrial projects, business use cases, and career development
- Print or Kindle book purchase comes with a free PDF eBook
- Focuses on AWS, then advances to Microsoft Azure and Google Cloud Platform
- Suitable for beginners and experienced professionals in IT looking to excel in cloud computing
| Publisher | Packt Publishing |
| Publication date | 22 Sept. 2023 |
| Language | English |
| Print length | 472 pages |
| ISBN-10 | 180512370X |
| ISBN-13 | 978-1805123705 |
| Item weight | 816 g |
| Dimensions | 19.05 x 2.77 x 23.5 cm |
Who Should Buy?
-
Aspiring Engineers
Ideal for beginners seeking to enter the cloud computing field with no prior knowledge.
-
Career Changers
Perfect for professionals transitioning from other tech realms into cloud computing requiring foundational knowledge.
-
Self-Leaners
Beneficial for individuals who prefer autonomous study with a structured guide to major cloud platforms.
-
Experienced Professionals
Not suitable for seasoned cloud engineers already familiar with AWS, Azure, and GCP concepts.
Product Description
The Self-Taught Cloud Computing Engineer: A comprehensive professional study guide to AWS, Azure, and GCP
About This Item
Get ready to take your cloud computing skills to the next level with "The Self-Taught Cloud Computing Engineer." This comprehensive professional study guide is your ticket to mastering AWS, Azure, and GCP. Whether you're a self-taught cloud computing engineer or looking to enhance your career in cloud computing, this guide is designed to help you achieve your goals. It covers everything from the fundamentals to advanced concepts, preparing you to ace the AWS cloud computing certification, excel in GCP cloud computing courses, and develop the expertise needed for a successful career in cloud computing. With a focus on professional development and career growth, this study guide provides a clear roadmap for honing your cloud computing skills. It's the perfect resource for anyone seeking to become a cloud computing specialist, delivering comprehensive training and expert certification guidance. Don't miss out on the opportunity to learn cloud computing online and become a sought-after cloud computing engineer.
Elevate your expertise with "The Self-Taught Cloud Computing Engineer" and unlock a world of exciting opportunities in the field of cloud computing.
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Customer Questions & Answers
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Question:
Who is this book for?
Answer: This book is for anyone in the information technology domain aiming to thrive in the realm of cloud computing. -
Question:
What is included with the purchase of the print or Kindle book?
Answer: Purchase includes a free PDF eBook. -
Question:
What will I learn from this book?
Answer: You will learn to work with cloud computing platforms such as AWS, Azure, and GCP and develop skills in compute, storage, networking, big data, machine learning, and cloud security services.
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Features & Benefits
- Teach yourself all about cloud computing with this easy-to-follow guide
- Develop a well-rounded skillset-from fundamentals to data, machine learning, and security
- Work on real life industrial projects, business use cases, and personal cloud career development
- Gain proficiency in compute, storage, and networking services across multi-cloud and hybrid-cloud environments
- Integrate cloud databases, big data, and machine learning services in multi-cloud environments
- Secure cloud infrastructure ecosystems with advanced cloud security services
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