Terraform for Beginners using GCP - Google Cloud (Hands-on)
Why take this course?
🎉 Course Description: Terraform for Beginners using GCP - Google Cloud (Hands-on)
🚀 Headline: Master Google Cloud Platform (GCP) Infrastructure Provisioning with Terraform - The Most Popular Tool from HashiCorp!
📘 Introduction: Google Cloud Platform (GCP) is soaring as the fastest-growing public cloud, and Terraform has secured its position as the most popular infrastructure provisioning tool across various cloud platforms. If you're aiming to deploy databases, create virtual machines, or handle storage creation, this course is your golden ticket! 🗝️✨
As an infrastructure, cloud, or DevOps engineer, learning Terraform using GCP is a game-changer. It allows you to provision resources with the simplicity of HashiCorp Configuration Language (HCL), avoiding the complexities of shell scripts or Python code.
🎓 Why Enroll in This Course?
- Highly Practical: You'll get an 80% hands-on, 20% theory learning experience. 🛠️💡
- Comprehensive Coverage: From Terraform installation basics to advanced GCP resources like Compute, Storage, and Databases, this course has it all. 🖥️
- Real-World Skills: By the end of this course, you'll be equipped with the skills to apply Terraform in real-world scenarios on GCP.
🔥 Course Curriculum Highlights:
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Infrastructure as Code (IAC), Terraform & Installation 📐
- Understanding IAC and why it's a game-changer for provisioning resources on GCP.
- A step-by-step guide to installing Terraform.
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Terraform Basics 🧠
- Master the fundamentals of HCL, the configuration language by HashiCorp.
- Learn the Terraform workflow, including
init,Plan,Apply, and more.
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GCP Resource Provisioning 🌍
- Dive into creating GCP services with Terraform, tailored specifically for Google Cloud.
- Set up your GCP environment, authenticate with service accounts, and explore networking, compute, serverless, storage, database products, and more.
🎧 Additional Perks:
- Lifetime Access: Get ongoing access to all course materials and updates.
- Q&A Section: Have your questions answered by the instructor.
- Money-Back Guarantee: A 30-day guarantee to ensure your satisfaction, no questions asked.
- Udemy Certificate of Completion: Showcase your new skills with a certificate that proves your expertise in Terraform for GCP.
👩🏫 Instructor's Note: "I'm excited to guide you through this hands-on learning journey. Enroll now and join me inside the course to transform your career with the power of Terraform on GCP!"
- Ankit Mistry
🎉 Take the Next Step: Don't wait any longer! Dive into the world of cloud infrastructure provisioning with Terraform for GCP. Enroll now and let's embark on this transformative learning adventure together! 🚀
Enroll Now and unlock your potential with cutting-edge, hands-on experience in GCP and Terraform. Your future self will thank you! 🌟
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Comidoc Review
Our Verdict
The "Terraform for Beginners using GCP - Google Cloud (Hands-on)" course offers a solid start for learners looking to explore infrastructure as code with Terraform on the Google Cloud Platform. However, it falls short in providing enough depth and practical exercises that would engage intermediate users. Students seeking more advanced topics and hands-on experience should consider supplementing this course with additional resources or real-world projects. Despite some minor flaws during recording, the course's strength is its structured presentation of foundational concepts, benefiting absolute beginners with a smooth introduction to Terraform and GCP.
What We Liked
- Comprehensive introduction to Terraform and Google Cloud Platform tailored for beginners
- Clear, step-by-step explanations and easy-to-follow lessons
- Hands-on exercises with smooth progression in the Hashicorp Configuration Language (HCL)
- Covers essential GCP resources and infrastructure setup
Potential Drawbacks
- Lack of depth and variety in real-world use cases beyond basic concepts
- Minimal coverage of advanced topics like modules, variables, data sources, and Terraform state management
- Occasional confusion due to unworked steps or errors during recording