Cloud Computing

Cloud is perhaps reshaping organizational orientation to use traditional infrastructure and application usage in the current and long term. Cloud offers unparalleled advantages like low operation costs like OPEX model, no significant CAPEX requirement, forget about notorious maintenance issues, enhanced reliability, and more importantly to achieve scalability as per business growth. Some companies achieved impressive cost advantages up to 50% from cloud deployment. At the same, the market is highly contested by leading players like AWS, MS Azure, Google, and many more companies. This course provides the fundamental knowledge to students like cloud basics, various types of cloud services, development procedures, current state, and future trends. Students can able to apply their cloud theoretical knowledge to solve long-standing industry issues.

  • Maths and Statistics – Application in DS
  • Basic of Python
  • Supervised and unsupervised learning techniques
  • Evolution of AI
  • An introduction of Neural Network
  • Natural Language processing – an overview
  • Introduction to networking, Data Communication
  • Origin of Cloud Computing, Basic Concepts and Terminology
  • Goals and Benefits, Risks and Challenges, Cloud Characteristics
  • Cloud Delivery Models, Cloud Deployment Models
  • Data center Technology
  • Virtualization
  • Cloud Applications
  • Introduction to Cybersecurity & Ethical Hacking
  • Cryptography & it's Types
  • Computer Networks - Architecture, Threats & Attacks
  • Application & Web Security - Architecture, Threats & Attacks
  • Vulnerability Analysis & System Hacking - An overview
  • Sniffing, Hijacking - An Introduction
  • Intoduction: Big Data and Hadoop
  • Concepts of HDFS
  • MapReduce – An introduction
  • Apache Hive
  • HBase – An overview
  • Apache PIG - Apache SPARK
  • Demo and Hands on Project
  • What is Robotic Process Automation?
  • Scope & Techniques of Automation
  • Techniques of automation
  • Future of Automation
  • Benefits of RPA
  • Components of RPA
  • RPA platforms
  • KOFAX
  • About UiPath
  • UiPath Studio
  • UiPath Robot
  • UiPath Orchestrator
  • Downloading and installing UiPath Studio
  • Learning UiPath Studio Projects
  • Task Recorder
  • Advanced UI Interactions
  • Input Methods
  • Output Methods
  • Step-by-Step examples using Recorder
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    CLOUD COMPUTING FUNDAMENTALS AND MODELS (6 Hours)

  • Introduction to Networking
  • Data communication
  • Cloud Computing
  • Origin of Cloud Computing
  • Basic Concepts and Terminology
  • Goals and Benefits
  • Risks and Challenges
  • Roles and Boundaries
  • Cloud Characteristics
  • Cloud Delivery Models
  • Cloud Deployment Models


    CLOUD: ENABLING TECHNOLOGY AND APPLICATIONS (8 Hours)

  • Broadband Networks and Internet Architecture
  • Data Center Technology
  • Basics of Virtualization – Types of Virtualization – Implementation Levels of Virtualization
  • Web Technology
  • Multitenant Technology
  • Service Technology
  • Applications
  • Cloud computing for Healthcare, Energy Systems, Transportation Systems, Manufacturing Industry, Government, Education and Mobile Communication


    CLOUD COMPUTING MECHANISMS AND STORAGE (8 Hours)

  • Cloud Infrastructure Mechanisms: Logical Network Perimeter
  • Virtual Server: Cloud Storage Device
  • Cloud Usage Monitor
  • Resource Replication
  • Ready- Made Environment
  • Specialized Cloud Mechanisms: Automated Scaling Listener, Load Balancer, SLA Monitor
  • Pay Per Use Monitor: Audit Monitor, Failover System, Hypervisor, Resource Cluster, Multi: Device Broker
  • Cloud Management Mechanisms: Remote Administration System, Resource Management System, SLA Management System, Billing Management System
  • Cloud Storage
  • Storage-as-a-Service
  • Advantages of Cloud Storage
  • Cloud Storage Providers


    COST METRICS AND CLOUD COMPUTING ARCHITECTURAL MODEL (8 Hours)

  • Cost Metrics and Pricing Models
  • Business Cost Metrics
  • Cloud Usage Cost Metrics
  • Cost Management Considerations
  • Service Quality Metrics and SLAs
  • Service Quality Metrics
  • SLA Guidelines
  • Fundamental Cloud Architectures
  • Illustration with Case Study
  • Design approaches with Case Study
  • Design methodology for IaaS Service Model
  • Google API
  • Design methodology for PaaS Service Model
  • Study of SaaS Service Model


    CLOUD SECURITY AND ADVANCED CLOUD CONCEPTS (6 Hours)

  • Fundamental Cloud Security
  • Basic Terms and Concepts
  • Threat Agents
  • Cloud Security Threats
  • Cloud Security Mechanisms: Encryption
  • Hashing: Digital Signature
  • Public Key Infrastructure
  • Identity and Access Management
  • Single Sign-On: Kerberos authentication
  • One-time password
  • Basic cloud data security mechanisms
  • Advanced Clouds
  • Mobile Cloud
  • Media Cloud
  • Green Cloud
Trainer profile
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Dr.D.RAJESWARI M.TECH.,Ph.D.

Principal Educationist

Dr.D.Rajeswari, completed her B.Tech. IT in Anna University at 2008, M.Tech. IT in PSG College of Technology in 2010 and Ph.D. in college of Engineering, Anna University in 2017. She was working as an intern at Rolling Arrays, Bangalore in 2010. She was working as an Assistant Professor at R.M.K Engineering College from 2010 to 2018. Currently she is working as an Assistant Professor in SRM Institute of Science and Technology. She is also acting as a research supervisor and guiding Ph.D. Scholars in SRM Institute of Science and Technology. She has published SCI indexed journals in Springer and Elsevier. She also published her research papers in Scopus indexed journals and International Conferences too. Her area of interest includes cloud computing, Big data analytics, IoT, Parallel computing and optimization techniques.

Certificate of Completion