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Cloud Infrastructure and Services Training in Vellore
Course Overview :
The course presents a top-down view of cloud computing, from applications and administration to programming, infrastructure, billing and security. The topics include: overview of cloud computing, cloud systems, Load balancing in AWS, distributed storage systems, virtualization, security in AWS, and management services and Billing. Students will study state-of-the-art solutions for cloud computing developed by Amazon. Students will also apply what they learn in one programming assignments and one project executed over Amazon Web Services.
Content :
1. Introduction to Cloud Technologies
Introduction to the Cloud Computing, History of cloud computing, Cloud service options, Cloud Deployment models, Business concerns in the cloud.
2. Virtualization and Cloud Platforms
Exploring virtualization, Load balancing, Hypervisors, Machine imaging, Cloud marketplace overview, Comparison of Cloud providers.
3. Introduction to AWS
AWS history, AWS Infrastructure, AWS services, AWS ecosystem.
4. Programming, management console and storage on AWS
Basic Understanding APIs - AWS programming interfaces, Web services, AWS URL naming, Matching interfaces and services, Elastic block store - Simple storage service, Glacier - Content delivery platforms.
5. AWS identity services, security and compliance
Users, groups, and roles - Understanding credentials, Security policies, IAM abilities and limitations, AWS physical security - AWS compliance initiatives, Understanding public/private keys, Other AWS security capabilities.
6. AWS computing and marketplace
Elastic cloud compute - Introduction to servers, Imaging computers, Auto scaling, Elastic load balancing, Cataloging the marketplace, AMIs, Selling on the marketplace
7. AWS networking and databases
Virtual private clouds, Cloud models, Private DNS servers (Route 53), Relational database service – DynamoDB, ElastiCache, Redshift.
8. Other AWS services and management services
Analytics services, Application services, Cloud security, CloudWatch, CloudFormation, CloudTrail, OpsWorks.
9. AWS billing and Dealing with disaster
Managing costs, Utilization and tracking, Bottom line impact, Geographic and other concerns, Failure plans, Examining logs.
Course Outcome:
After learning the course, the student will be able:
1. To explain the core concepts of the cloud computing paradigm: how and why this paradigm shift came about, the characteristics, advantages and challenges brought about by the various models and services in cloud computing.
2. To apply the fundamental concepts in datacenters to understand the tradeoffs in power, efficiency and cost by Load balancing approach.
3. To discuss system virtualization and outline its role in enabling the cloud computing system model.
4. To illustrate the fundamental concepts of cloud storage and demonstrate their use in storage systems such as Amazon S3 and HDFS.
5. To analyze various cloud programming models and apply them to solve problems on the cloud.
6. To understand various management and other distinguish services of AWS.
7. To analyze the billing of resources and other paradigm: how to deal with disasters.
8. To understand security and compliances for AWS.
9. To deploy applications over commercial cloud computing infrastructures such as Amazon
List of Assignments / Experiments:
1. Write pros and cons of Cloud Computing.
2. Summarize Cloud service models with real time examples.
3. Define Virtualization. Also list and explain different Hypervisors.
4. Discuss performance evaluation of service over cloud.
5. Create a scenario that use Amazon S3 as storage on cloud.
Contact Details :
Redback IT Academy
No : 5/X2 Hari Ohm 2nd Street,
Phase III, Sathuvachari,
Vellore. 632009
+91 8189985551
Cloud Infrastructure and Services Training
Overview :
This course educates participants on building cloud infrastructure based on a cloud computing reference model. The reference model includes five fundamental layers (physical, virtual, control, orchestration, and service) and three cross-layer functions (business continuity, security, and service management) for building a cloud infrastructure.
For each layer and cross-layer function, this course covers the comprising technologies, components, processes, and mechanisms. This course takes an open-approach to describe the concepts and technologies. Upon completing this course, participants will have the knowledge to make informed decisions on technologies, processes, and mechanisms required to build a cloud infrastructure.
Course Duration :
5 Days
Audience :
This course is intended for:
Experienced IT professionals, who may not have had exposure to cloud computing
IT professionals responsible for architecting and managing cloud infrastructure
Students and professionals who are looking to pursue career in cloud computing
Prerequisite Knowledge/Skills :
Basic understanding of computer architecture, operating system, and database
Experience in compute system, storage and network infrastructure will be an added advantage
Course Objectives :
Upon successful completion of this course, participants should be able to:
- Describe cloud computing, its deployment and service models.
- Describe the cloud computing reference model and the key considerations to build a cloud infrastructure.
- Describe the key components and processes required to build physical, virtual, control, and service layers of a cloud infrastructure.
- Describe the service orchestration, business continuity, security, and service management functions for a cloud infrastructure.
Course Outline :
The content of this course is designed to support the course objectives.
• Module 1: Introduction to Cloud Computing
▬ Essential characteristics of cloud computing
▬ Cloud service models and cloud service brokerage
▬ Cloud deployment models
• Module 2: Building the Cloud Infrastructure
▬ Cloud computing reference model
▬ Deployment options and solutions for building cloud infrastructure
▬ Considerations for building cloud infrastructure
• Module 3: Physical Layer
▬ Compute system
▬ Storage system architectures
▬ Network connectivity
• Module 4: Virtual Layer
▬ Virtual layer functions
▬ Virtualization software
▬ Resource pool and virtual resources
• Module 5: Control Layer
▬ Control layer functions
▬ Control software
▬ Software-defined approach for managing IT infrastructure
▬ Resource optimization techniques
• Module 6: Service and Orchestration Layers
▬ Service layer functions
▬ Cloud portal
▬ Cloud interface standards
▬ Protocols for accessing cloud services
▬ Service orchestration
▬ Cloud service lifecycle
• Module 7: Business Continuity
▬ Business continuity and service availability
▬ Fault tolerance mechanisms
▬ Backup and replication
▬ Cloud application resiliency
• Module 8: Security
▬ Cloud security threats
▬ Cloud security mechanisms
▬ Governance, risk, and compliance
• Module 9: Service Management
▬ Service portfolio management processes
▬ Service operation management processes
For More Details :
Redback IT Academy
No : 5/X2 Hari Ohm , Phase III,
Sathuvachari,
Vellore. 632009.
+91 8189985551 | [email protected]
Data Analytics Training in Vellore
What Will I Learn?
Successfully perform all steps in a complex Data Science project
Create Basic Tableau Visualisations
Perform Data Mining in Tableau
Understand how to apply the Chi-Squared statistical test
Apply Ordinary Least Squares method to Create Linear Regressions
Assess R-Squared for all types of models
Assess the Adjusted R-Squared for all types of models
Create a Simple Linear Regression (SLR)
Create a Multiple Linear Regression (MLR)
Create Dummy Variables
Interpret coefficients of an MLR
Read statistical software output for created models
Use Backward Elimination, Forward Selection, and Bidirectional Elimination methods to create statistical models
Create a Logistic Regression
Intuitively understand a Logistic Regression
Operate with False Positives and False Negatives and know the difference
Read a Confusion Matrix
Create a Robust Geodemographic Segmentation Model
Transform independent variables for modelling purposes
Derive new independent variables for modelling purposes
Check for multicollinearity using VIF and the correlation matrix
Understand the intuition of multicollinearity
Apply the Cumulative Accuracy Profile (CAP) to assess models
Build the CAP curve in Excel
Use Training and Test data to build robust models
Derive insights from the CAP curve
Understand the Odds Ratio
Derive business insights from the coefficients of a logistic regression
Understand what model deterioration actually looks like
Apply three levels of model maintenance to prevent model deterioration
Install and navigate SQL Server
Install and navigate Microsoft Visual Studio Shell
Clean data and look for anomalies
Use SQL Server Integration Services (SSIS) to upload data into a database
Create Conditional Splits in SSIS
Deal with Text Qualifier errors in RAW data
Create Scripts in SQL
Apply SQL to Data Science projects
Create stored procedures in SQL
Present Data Science projects to stakeholders
Requirements
Only a passion for success
All software used in this course is either available for Free or as a Demo version
Description
Extremely Hands-On... Incredibly Practical... Unbelievably Real!
This is not one of those fluffy classes where everything works out just the way it should and your training is smooth sailing. This course throws you into the deep end.
In this course you WILL experience firsthand all of the PAIN a Data Scientist goes through on a daily basis. Corrupt data, anomalies, irregularities - you name it!
This course will give you a full overview of the Data Science journey.
Upon completing this course you will know:
How to clean and prepare your data for analysis
How to perform basic visualisation of your data
How to model your data
How to curve-fit your data
And finally, how to present your findings and wow the audience
This course will give you so much practical exercises that real world will seem like a piece of cake when you graduate this class. This course has homework exercises that are so thought provoking and challenging that you will want to cry... But you won't give up! You will crush it. In this course you will develop a good understanding of the following tools:
SQL
SSIS
Tableau
Gretl
This course has pre-planned pathways. Using these pathways you can navigate the course and combine sections into YOUR OWN journey that will get you the skills that YOU need.
Who is the target audience?
Anybody with an interest in Data Science
Anybody who wants to improve their data mining skills
Anybody who wants to improve their statistical modelling skills
Anybody who wants to improve their data preparation skills
Anybody who wants to improve their Data Science presentation skills
The choice is yours. Join the class and start learning today!
Or you can do the whole course and set yourself up for an incredible career in Data Science.
For More Details :
Redback IT Solutions Pvt Ltd.,
No : 5/X2 Hari Ohm 2nd Street,
Phase III, Sathuvachari, Vellore.
+91 8189985551.
Cloud Computing Training at Vellore
Course Introduction :
This graduate-level course investigates cloud computing models, techniques, and architectures. Cloud computing has evolved as a very important computing model, which enables information, software, and other shared resources to be provisioned over the network as services in an on-demand manner. Students will be exposed to the current practices in cloud computing.
Topics may include distributed computing models and technologies, Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), Software-as-a-Service (SaaS), virtualization, security and privacy issues, performance and systems issues, capacity planning, disaster recovery, Cloud OS, federated clouds, challenges in implementing clouds, data centers, hypervisor CPU and memory management, cloud hosted applications, and other advanced and research topics in cloud computing.
WHAT KIND OF BACKGROUND DO I NEED ?
A working knowledge of Internet, browsers, MS Windows and Web applications is helpful but not required. Programming experience is also helpful but not required. If you do not possess knowledge of Linux we teach you that too.
WHAT BENEFIT I DO GET FROM THE CLOUD COMPUTING COURSE?
Yes! The course presents the business advantages of the cloud and also the technical benefits it can provide. The technical discussions are at a level that attendees with a business background can understand and apply. Where technical knowledge is required, sufficient guidance for all backgrounds is provided to enable activities to be completed and the learning objectives achieved.
World's Most Popular Cloud Computing Technologies are,
Salesforce.com-The Worlds No.1 CRM.
VMware, Inc-Virtualizes Computing.
Amazon Web Services(AWS)-Broad & Deep Core Cloud Infrastructure Services.
Linux OpenStack-Open source software for creating private and public clouds.
Microsoft Azure.
Syllabus :
#MODULE - 1
Introduction to Computing
Recent Stages in the cloud Computing
About Grid Computing in Cloud
Utility Computing in Cloud
Basics of Cloud Cluster Computing
Distributed system Computing and Evolutions in Cloud Computing
#MODULE - 2
Overview of Cloud Computing
(NIST) Model Overview
Basics, Cloud Service History . Cloud Computing history.
Properties,Characteristics.
Advantages and Disadvantages of Cloud Computing,Cloud computing
#MODULE - 3
Architecture of Cloud Computing
stacks in Cloud computing
Traditional computing architecture Comparison, Services providers.
How Cloud Computing Works, Networking and web services roles in Cloud computing, (XaaS)Service Models, protocols used.
(PaaS) -Platform as a Service.
(IaaS) -Infrastructure as a Service.
(SaaS) -Software as a Service.
#MODULE - 4
Infrastructure as a Service
Resource Virtualization of Cloud Computing
Server and Network in Infrastructure as a service
Storage Virtualization in Cloud Computing
#MODULE - 5
Platform as a Service (PAAS)
IBasics of PaaS
(SOA) Service Oriented Architecture and What is PaaS?
Cloud Management and Platform
Computation,storage,Google app engine's,Salesforce explanations
Microsoft Azure in Platform as a service
Working of Salesforce platform
#MODULE - 6
Software as a Service (SAAS)
Basics to SaaS
Web services in Cloud Computing
Web OS and Web 2.0 working Principles
Case Studies
#MODULE - 7
Service Management
Agreements and Service Level
Accounting and Billing in Service Management
Cloud vs Traditional Discussions
Working of Scaling factor
#MODULE - 8
Data Management
Cloud Services and Scalability
Data in cloud Computing
Large Scale Data Processing
Cloud and infrastructure Management
Host level security
Network level security
Application level security
For Details contact :
Redback IT Academy
No : 5/X2 Hari Om 2nd Street,
Phase III, Sathuvachari, Vellore.
+91 8189985551.
