
Explore the benefits of cloud computing, including scalability and reduced maintenance, and examine IBM cloud services across infrastructure, platform, and software as a service.
Learn IBM Bluemix as a platform as a service on IBM Cloud, including infrastructure and platform offerings, Cloud Foundry, marketplace services, and multi-language support for scalable, managed apps.
Explore the IBM Cloud infrastructure compute options, including bare metal and virtual servers, their use cases for processor-intensive tasks or large data workloads, and how to compare pricing and scalability.
Compare block storage, file storage, and object storage, noting block uses fixed-size blocks, file systems arrange files, and object storage follows an object model, with IBM cloud trial options.
Navigate cloud infrastructure for networking and security, covering firewalls, SSL certificates, VPNs, load balancers, DNS, domain names, IP options, and a content delivery network.
Explore the Lumix platform for mobile apps, covering API and application service, data analytics, push notifications, authentication and security, plus cross-platform deployment to iOS and Android with third-party integrations.
Explore DevOps within cloud computing by aligning the software development lifecycle—from planning to monitoring—with automation, continuous delivery, and collaboration across developers and IT professionals, using containers and cloud services.
Explore IBM Watson services on Lumix, including text and speech, visual cognition, concept insights, and trade-off analytics, and learn to build cloud-based conversational apps.
Explore FaaS, a serverless cloud model that runs and manages application functions without hardware management, triggered by events and billed per execution time.
Create a tool chain on Lumix, write code and manifest files, deploy the web app, and link a domain while managing repository changes through testing and quality assessment.
Cloud Foundry is an open-source PaaS that supports multiple programming languages and provides data and messaging services. It enables workload movement across clouds using spaces and cf push.
Explore blockchain fundamentals, including decentralized ledgers, block creation, cryptographic hashing, and how distributed networks secure transactions and enable cryptocurrency and smart contracts across industries.
Explains object storage in cloud and shows how to create a bucket, select a region, upload objects, organize data, and set permissions and policies for access.
Create a chatbot using IBM Watson Assistant by selecting the conversation service, naming your app, and building a dialog with intents and varied responses.
Explore the analytics engine, a flexible framework that works with Hadoop and Apache open source packages, enabling custom analytics libraries, cluster control, and cloud service deployment.
Explore building an open source data analytics cluster with Apache Spark, leveraging Hadoop, Jupyter kernels, and the interactive Spark API to deploy Spark applications.
Learn to create and manage container registries, deploy clusters and images, and configure namespaces and regions in a cloud environment, comparing free and standard options and hourly cost considerations.
Explore how to create and manage a Db2 database on IBM Cloud, including provisioning an instance, building a schema and tables, handling credentials, and connecting applications with server-side scripting.
Create a cloud-based devops toolchain in the New South region to build, deploy, and host multi-language websites, and manage pipelines, issues, and team collaboration.
Create a dynamic dashboard with drag-and-drop insights, enabling end-to-end data capabilities in your app, with graphs and interactive information, free 50 sessions per month and a light license.
Create and deploy IoT applications on the IBM Cloud Bluemix platform with a lite option. Connect devices like Raspberry Pi and CCTV cameras, manage apps, and deploy via CLI.
Build and manage a Cloudant database on IBM Bluemix using Node.js, learning service setup, API management, running queries, and data synchronization across applications.
learn to build a flask-based service with a dashboard, manage deployment via a tool chain, and enable continuous delivery, environment variables, and online deployment.
Explore Amazon Web Services and a range of compute, storage, analytics, and deployment tools through practical demonstrations, including deploying web applications and ERP solutions, with a path to AWS certification.
Create an account on Amazon Web Services, complete the sign-up steps, verify with a one-time password, and access the dashboard to explore cloud services.
Explore Amazon elastic compute cloud (EC2) virtual servers that scale automatically, pay for what you use, and run securely across regions with CDN options.
Learn how to use AWS EC2 to launch instances with various operating systems, choose instance types, configure VPCs and security groups, and manage keys.
Explore Amazon VPC, a logically isolated virtual private cloud that uses subnets, routing tables, and security groups to control private and public resources, with VPN connectivity options.
Explore how aws elastic container service lets you run docker containers in a managed, scalable environment without on-site hardware, with portable images and built-in security across cloud services like cognito.
Explore elastic compute deployment with AWS Elastic Beanstalk, an orchestration service that handles deployment, capacity provisioning, monitoring, and load balancing for scalable apps in the cloud.
Explore AWS lambda as a function as a service, event-driven and serverless, triggered by events and integrated with API gateway, S3, and other services, paying only for compute time.
Discover how Amazon Lightsail bundles computing power, networking, DNS management, and a static IP into an easy, scalable cloud solution for beginners.
Explore Amazon Elastic MapReduce (EMR) as a managed big data analytics framework on AWS, enabling Hadoop ecosystem services like HDFS, MapReduce, Hive, DynamoDB, and S3 integration.
Explore real-time analytics with Amazon Kinesis, ingesting streaming data from websites and apps to power dashboards, alerts, and dynamic insights through Lambda, EMR, and DynamoDB.
Explore Amazon DynamoDB, a fast, scalable, document-oriented key-value store with web API and streams, supporting multiple languages and rapid event-driven integration with Lambda for scalable cloud apps.
Explore ElastiCache, an in-memory cache—not a database—that speeds data access between web clients and storage, with Redis or Memcached engines for session and credential caching.
Launch a virtual machine from the AWS dashboard, choosing an OS and instance type, configuring storage, networking, and security, then monitor and manage it with cloud watch and IAM settings.
Learn how to register a domain, check availability, and manage dns and traffic with Route 53, including domain transfer and traffic policies.
Create a mobile app backend using cloud services from project setup to user sign-in. Add data storage, APIs, hosting, analytics, and tools like Amazon Cognito and DynamoDB.
Connect an IoT device from the dashboard, download the connection, and configure platform options and keys, including the application id, to enable cloud access such as a Raspberry Pi.
Build a virtual server by selecting a region like Mumbai, a platform such as Windows, and an app like WordPress, then choose a hosting plan, name the instance, and deploy.
Launch a development project from the Lewis dashboard, deploy using Amazon EC2 templates, and manage a team with IAM roles, source control, and fast deployment and monitoring.
Deploy serverless microservices by creating Lambda functions from scratch or blueprints, attach triggers, and deploy quickly with configurable memory, timeouts, and cloud formation; manage storage with buckets and review logs.
Build and deploy a web app on AWS and IBM Cloud by selecting a web server (Apache Tomcat, Windows), configuring environments, using S3, and monitoring logs and alarms.
Learn to configure a virtual private cloud on AWS, setting up VPCs, subnets (public and private), internet gateways, customer gateways, VPN connections, and routing options.
Explore AWS networking via the VPC dashboard, learning to manage subnets, routing tables, internet gateways, and inbound and outbound rules, while configuring VPN connections and monitoring traffic across regions.
Create a virtual private cloud (vpc) in IBM Cloud, define IP CIDR blocks and routing, configure IAM rules, connect via VPN, and enable logging to S3 and CloudWatch.
Create and configure subnets within a BBC by naming the subnet, selecting a region and IP version, and enabling routing tables and internet gateways for cloud networking.
Create and attach an internet gateway to your VPC to enable internet access, choosing Linux or Windows connectivity and learning to detach when needed.
Learn to manage and optimize cloud costs with budgets, cost explorer, and cost allocation tags, set payment methods, alerts, and notification options to control spend across AWS and IBM Cloud.
Cloud Computing has become a hot topic in the Information Technology industry. Developers, Testers, Managers, Creators, Entrepreneurs, and others, are rushing to harness the power of Cloud platforms- Scalability, Elasticity, Fault Tolerance, Cost Effective, Remotely managed, Easy to Integrate, and much more. You could have any of these profiles or you could still be a college student planning to build a career in IT sector, this course can help you learn some key cloud computing skills on AWS and IBM Cloud with hands-on practical exercises. If you just explore, top 5 cloud computing platforms, you will find that AWS (Amazon Web Services) is most popular among all other cloud computing platforms. Followed by Microsoft Azure, GCP (Google Cloud Platform) and IBM Bluemix.
In this course you will be learning a wide range of tools and services available on AWS and IBM Bluemix cloud platforms. Although IBM Bluemix is not among top 3 cloud platforms in terms of popularity. But when you explore a bit more, you will find, that some of its services such as IBM Watson is unmatchable. When it comes to building and running Cognitive applications, IBM Watson is the far more feature-rich and advanced then all of the competitors. A lot of Cloud professionals have some exposure to AWS and Microsoft Azure, but it is rare in the industry for a person to be comfortable on both AWS and IBM Bluemix. As companies are focused on building hybrid cloud solutions, they tend to integrate the services of different cloud vendors. This way their solutions are not limited to just any single cloud platforms. Say for example, If a company tries to build a project that involves some services from AWS like Elastic Beanstalk, S3, Kinesis, and combine it with IBM Watson Knowledge Studio, they would be expecting some IT professionals who are skilled on both of these platforms. When you have skills of both of these platforms, your chances of landing a dream job in some advanced cloud projects increases dramatically.
Most inventions in the history had been done by various Polymaths, who are skilled in two different subjects, or you can call platforms in this digital age. In this course you will be learning a lot of cloud services on both AWS and IBM Cloud with lots of practical demonstrations. Can't wait to grow your career? Just Start learning. Will see you in the class.