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
HNL 1771
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With this comprehensive roadmap, you'll have the tools to build a successful cloud computing career.
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What Stands Out
Detalles de producto
- 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?
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Aspiring Engineers
Ideal for beginners seeking to enter the cloud computing field with no prior knowledge.
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Career Changers
Perfect for professionals transitioning from other tech realms into cloud computing requiring foundational knowledge.
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Self-Leaners
Beneficial for individuals who prefer autonomous study with a structured guide to major cloud platforms.
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Experienced Professionals
Not suitable for seasoned cloud engineers already familiar with AWS, Azure, and GCP concepts.
DESCRIPCIÓN DEL PRODUCTO
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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Revisión editorial
The Self-Taught Cloud Computing Engineer: A Comprehensive Professional Study Guide To AWS, Azure, And GCP is an essential resource for anyone looking to deepen their understanding of cloud technologies. This book, published by Packt Publishing, spans 472 pages filled with insights into AWS, Azure, and GCP. The recent publication date signifies its relevance to current industry standards, making it a great companion for self-learners. Readers have noted the clarity of the material and the comprehensive nature of the guide, catering to novice and experienced engineers alike.
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ventajas
- Comprehensive coverage of AWS, Azure, and GCP
- Clear explanations suitable for beginners
- Recent publication ensures up-to-date information
- Well-structured format enhances learning
- Excellent resource for self-learners
Contras
- Might feel dense for complete beginners
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HNL 1771
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características y beneficios
- 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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