Google Cloud Storage, Databases & Analytics is designed to provide learners with a strong understanding of Google Cloud storage, data lakes, managed database services, data warehousing, and analytics capabilities. The course focuses on how Google Cloud services can be used to securely store, manage, optimize, and analyze data at scale.

The course is divided into three modules, with each module further segmented into lessons and video lectures. Learners will explore cloud storage and data lake architectures, evaluate managed database solutions for different workloads, and use BigQuery for scalable data warehousing and analytics. Course Modules: Module 1: Cloud Storage & Data Lakes Module 2: Managed Database Services Module 3: BigQuery & Data Analytics By the end of this course, a learner will be able to: Understand Google Cloud Storage and data lake concepts, including data discovery, security, monitoring, and cost optimization. Evaluate and select appropriate managed database services based on workload, connectivity, scalability, performance, and cost requirements. Optimize database solutions across services such as Cloud SQL, Cloud Spanner, AlloyDB, Bigtable, and Firestore. Understand BigQuery capabilities for cloud data warehousing, analytics, monitoring, and query processing. Analyze and visualize data using BigQuery and Looker Studio while understanding data warehouse migration and hybrid multi-cloud concepts. This course is intended for learners who want to develop practical knowledge of Google Cloud storage, databases, data lakes, data warehousing, and analytics and build the skills required to work with modern cloud data solutions.

Google Cloud Operations, Security & AI is designed to provide learners with a strong understanding of Google Cloud data ingestion, migration, cloud operations, security, monitoring, and artificial intelligence services. The course focuses on how Google Cloud capabilities can be used to build reliable data pipelines, migrate workloads, secure cloud environments, monitor operations, and integrate AI and machine learning into modern cloud solutions.

The course is divided into three modules, with each module further segmented into lessons and video lectures. Learners will explore streaming data pipelines, migration strategies, DevOps and CI/CD, cloud security and governance, observability, encryption, and Google Cloud AI and machine learning services. Course Modules: Module 1: Data Ingestion & Migration Module 2: Operations, Security & Monitoring Module 3: AI & Machine Learning Services By the end of this course, a learner will be able to: Plan and build streaming data pipelines and understand data ingestion approaches on Google Cloud. Apply migration planning, Database Migration Service, and DevOps and CI/CD concepts to cloud solutions. Understand Google Cloud security, compliance, IAM, observability, encryption, and key management capabilities. Use Google Cloud AI APIs for speech, vision, and language translation use cases. Understand AI and machine learning model development and training using Google Cloud AI services. This course is intended for learners who want to develop practical knowledge of Google Cloud operations, security, data migration, and AI capabilities and build the skills required to manage secure, reliable, and intelligent cloud solutions.