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| Course Fee | 1,700 |
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Total Fees |
1,700 (USD) |
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Koenig Learning Stack
Free Pre-requisite TrainingJoin a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.
Assessments (Qubits)Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.
Post Training ReportsReceive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.
Class RecordingsGet access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.
Free Lab ExtensionsExtend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.
Free Revision Classes Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.
Inclusions in Koenig's Learning Stack may vary as per policies of OEMs
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♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Inclusions in Koenig's Learning Stack may vary as per policies of OEMs
To ensure a successful learning experience, participants should ideally have the following knowledge before enrolling in the Google Cloud Professional Database Engineer course:
Familiarity with Database Concepts: A basic understanding of database concepts, such as relational databases, NoSQL databases, and data modeling.
Experience with SQL: Proficiency in SQL (Structured Query Language) to effectively interact with and manage databases.
Basic Knowledge of Google Cloud Platform (GCP): A fundamental awareness of Google Cloud services and architecture will be beneficial.
Understanding of Data Management: Awareness of data management processes and best practices in cloud environments.
These requirements are designed to prepare you for the course effectively, but do not worry if you're still learning; the course will cover foundational aspects to support your growth in the field.
The Google Cloud Professional Database Engineer course equips IT professionals with essential skills to design, build, and manage scalable database solutions on Google Cloud. Perfect for aspiring database experts.
The Google Cloud Professional Database Engineer course equips learners with the skills to design, build, manage, and secure Google Cloud databases effectively, ensuring high performance and reliability.
Learning Objectives and Outcomes:
