Emerging Cloud Technologies
Description
Exploration of cutting-edge cloud technologies including serverless computing, edge computing, AI/ML integration, IoT, and future trends in cloud computing.
Learning Objectives
Learners will explore and implement emerging cloud technologies, understand serverless architectures, edge computing concepts, AI/ML cloud services, IoT platforms, and prepare for future trends in cloud computing to stay ahead in their cloud computing careers.
Topics (6)
Edge computing architecture, CDN services, edge locations, mobile edge computing, IoT edge processing, and distributed application architectures for edge environments.
Sustainable cloud computing, green IT, cloud sustainability metrics, emerging cloud architectures, distributed cloud, confidential computing, and future cloud computing paradigms.
Serverless computing concepts, AWS Lambda, Azure Functions, Google Cloud Functions, event-driven architecture, serverless frameworks, and cost optimization for serverless applications.
AWS SageMaker, Azure Machine Learning, Google AI Platform, pre-trained AI models, ML pipeline automation, model deployment, and AI/ML workload optimization in cloud environments.
AWS IoT Core, Azure IoT Hub, Google Cloud IoT, device connectivity, data ingestion, real-time processing, IoT security, and edge-to-cloud integration patterns.
Quantum computing fundamentals, AWS Braket, Azure Quantum, Google Quantum AI, quantum algorithms, quantum programming languages, and quantum computing use cases.