The Self-Taught Cloud Computing Engineer: AWS, Azure, and GCP Study Guide
The Self-Taught Cloud Computing Engineer is a cross-cloud study guide covering AWS, Azure, and Google Cloud Platform. Its stated scope runs from core infrastructure services through data, machine learning, security, projects, certifications, and career development, making it relevant to readers building broad cloud foundations rather than focusing on one provider alone.
At a glance
- Begins with AWS fundamentals and advances into AWS data, machine learning, and security topics.
- Extends coverage to Azure and Google Cloud Platform, with comparisons of shared concepts and platform differences.
- The listed curriculum includes compute, storage, networking, databases, big data, machine learning, and security.
- Described as including step-by-step labs, projects, business use cases, and real-world scenarios.
- Also covers certification paths and cloud career development.
Reference price: $49.99
Price checked: Nov 14, 2026
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Pros and cons
Pros
- The three-platform scope can help readers compare common cloud concepts alongside provider-specific services.
- The combination of service coverage and project-based material connects concepts with practical learning activities.
- The topic list includes data pipelines, machine learning, and security as well as foundational infrastructure.
Technical specifications
8 specifications| Publisher | Packt Publishing |
|---|---|
| Publication date | September 22, 2023 |
| Language | English |
| Print length | 472 pages |
| ISBN-10 | 180512370X |
| ISBN-13 | 978-1805123705 |
| Dimensions | 7.5 x 1.09 x 9.25 inches |
|---|---|
| Weight listed | 1.8 pounds |
What to know before buying
- The book is dated September 22, 2023, and its topics include evolving cloud services and certification paths. Readers preparing for a current exam or implementing current provider features should verify those details against up-to-date sources.
Who is it for?
A good fit for
- IT professionals transitioning into cloud computing who want an introduction spanning AWS, Azure, and GCP.
- Cloud practitioners seeking a broad cross-provider refresher across infrastructure, data, AI, and security.
- Independent learners who prefer structured study with lab and project material.
Less suited to
- Readers seeking a dedicated, current exam-preparation manual for one specific certification.
- Buyers who need a narrow, in-depth reference for a single provider or specialist cloud topic.
Customer reviews on Amazon
- 5 stars
90% 90% - 4 stars
5% 5% - 3 stars
1% 1% - 2 stars
2% 2% - 1 star
2% 2%
Customer feedback describes the book as broad in cloud coverage and appreciates its practical exercises, explanations, examples, and organization. Those reported strengths align with the listing’s multi-provider scope and project material, which may suit self-directed learners. The aggregate ratings are largely five-star but include lower-star ratings as well, so the overall positive pattern does not establish that every reader found the content equally useful.
Positive themes
- Customers report broad topic coverage, clear explanations, and practical exercises.
- Customers mention organized presentation and real-world scenarios or case studies.
Frequently asked questions
Which cloud platforms does the book cover?
The listing describes coverage of Amazon Web Services, Microsoft Azure, and Google Cloud Platform, beginning with AWS before moving to Azure and GCP.
Does it include practical exercises?
The listing describes step-by-step labs, hands-on projects, and real-world or business use cases. Customer feedback also mentions exercises and practice questions.
Is it a dedicated certification exam guide?
It includes certification paths and discusses professional certifications, but the supplied information does not identify a specific certification exam as its focus.
What else does it cover beyond cloud services?
The listed topics extend to data pipelines, machine learning, security, career development, and cloud certification guidance.
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