
Explore cloud computing basics in a concise, less than 18 minute overview, tracing its emergence from 2006 and sharing practical insights from an IBM career journey.
Explore how cloud computing delivers applications and data as services from remote data centers over public or private networks, and understand its architecture and benefits.
Explore deployment models: public, private, community, and hybrid cloud. Learn their advantages and see examples, including Amazon and IBM's Blue Cloud, Cisco and NetApp, and Azure Stack.
Explore the three cloud service models—IaaS, PaaS, and SaaS—and compare on-premises versus cloud deployment, highlighting management responsibilities and usage-based billing.
Learn the basics of cloud computing and how it compares to on-premise models. Discover AWS features, benefits, and how to create an AWS account and use popular services.
Learn cloud computing basics, from on-premise data centers to third-party cloud providers, and how scalable, on-demand resources power modern online platforms.
Explore the benefits of cloud computing, including cost efficiency, scalable provisioning, and global access. Learn how providers enable rapid deployment, security, speed, and reliable backups across regions.
Explore public cloud, private cloud, and hybrid cloud models, with examples from AWS, Azure, Google, and Oracle, and understand the shared accountability between providers and users.
Explore cloud deployment models by comparing on-premise setups with cloud options: IaaS, PaaS, and SaaS, using a baking oven, laundromats, and Microsoft 365 as relatable examples.
Explore popular AWS services like EC2, RDS, S3, and Direct Connect, and learn to provision virtual machines, managed databases, scalable storage, and on-premise links via the console.
Explore how AWS regions and availability zones, with data centers worldwide—including Mumbai, US, UK, Ireland, China, Africa, South America, and Sydney—enable region-specific services and fault-tolerant architectures.
Launch a basic AWS EC2 instance demo by selecting a region, using Amazon Linux 2, and choosing a micro instance with EBS storage, noting free tier and cost cautions.
Learn to create an EC2 instance, connect using the private key and public key, convert the key for PuTTY, access via public IP or DNS, then stop to save costs.
Explore AWS compute services, from managed container platforms and Kubernetes to serverless Lambda, and compare cost models like dedicated and reserved instances for scalable workloads.
Compare amazon ec2 instance types—from general purpose to memory, compute, and ai optimized—and master s3 storage basics, including buckets, public access controls, and object permissions for secure uploads.
Explore AWS storage options, including elastic file system for persistent EC2 mounting and S3 bucket for cost-effective object storage, plus Glacier, Snowball, and Snowmobile data transfer.
Explore AWS services for storage, analytics, databases, and security, including S3 storage classes, EMR, Redshift, Dynamo, Aurora, SageMaker, IAM, and encryption.
Explore the Google Cloud Platform landscape, covering compute, storage, networking, and big data services, with emphasis on Kubernetes, Hadoop origins, and global regions like Mumbai and Sydney.
Explore how to use Google Compute Engine to create and deploy virtual machines on Google Cloud Platform, navigate regions and zones, select machine types, and leverage free credits.
Launch and connect to a Google Cloud VM with a Debian image, use Cloud Shell, and delete unused instances to control costs while exploring App Engine and Cloud Function.
Explore Google storage options, including cloud storage and persistent disk. Distinguish blob storage from block storage and note security with encryption keys and role-based access control.
Explore Google Cloud database options, including non-relational stores, Cloud SQL and Cloud Spanner, and big data services like BigQuery, Dataflow, Dataproc, and Pub/Sub.
Explore Google Cloud machine learning services, Cloud ML Engine, and email APIs, to build AI-driven recommendations and understand customer behavior for business insights.
Explore the AWS practitioner certification path within the Google Cloud and AWS certification course, covering foundational AWS services, cloud concepts, and the certification tracks from associate to specialty.
Navigate the GCP certification path from entry level to tracks, focusing on basics of Google services, hands-on experience building apps and infrastructures, and tracks like cloud architect or cloud developer.
In this Spotle cloud computing course, you will learn AWS and GCP in hands on sessions with an expert. As you finish this course, you have already taken your first step to AWS and GCP certification. By the end of this course you will learn,
1. The fundamental architecture of cloud-based platforms
2. The fundamentals of AWS and GCP
3. The certification path in AWS and GCP
Spotle
Spotle is an AI-powered career platform where you get automatically matched with the relevant opportunities and skills for the advancement of your career. Targeted at the highly mobile millennial and Gen-Z population, Spotle provides a dynamic and agile platform to discover skill and career choices matched to your career goals.
Spotle, as a company, brings together a solid pool of cloud computing, big data, machine learning, data science experts; The experts who have been building complex applications on the cloud hands on. Spotle courses are designed by the experts to keep you updated with the in-demand trends in the market. As you move on with the Spotle courses, you learn from the experts who are passionate about new age technologies; who are keen on sharing their knowledge for the advancement of technology.
Spotle courses give you a unique opportunity to learn from and practice with the masters.