This course introduces participants to the core concepts and services of Google Cloud Platform (GCP), providing a strong foundation for cloud adoption and usage. It is designed for beginners who want to understand cloud computing concepts and how they are applied within GCP.
The training covers GCP global infrastructure, compute, storage, networking, and database services, alongside practical demonstrations of IAM, billing, and resource management. Participants will gain a holistic understanding of GCP’s key services and architectural patterns.
Hands-on labs allow learners to navigate the GCP Console and Cloud Shell, configure IAM policies, create virtual machines, and deploy applications using App Engine and Kubernetes Engine. Data storage labs with Cloud Storage and databases further reinforce learning.
By the end of this training, participants will be able to confidently use the GCP Console and CLI, deploy basic workloads, secure resources, and design simple architectures. This course serves as a stepping stone toward role-based certifications such as Associate Cloud Engineer.
By the end of the training, participants will be able to design, train, and deploy scalable ML solutions on AWS SageMaker, manage model performance, and apply best practices to build AI-powered applications. The program also provides a strong foundation for professionals preparing for the AWS Machine Learning Specialty certification.
Duration: 3 Days
Course Code: BDT 521
Learning Objectives:
After this training, participants will be able to:
Training material provided: Yes (Digital format)
