Amazon Web Services Course

1. Introduction to Cloud & AWS
    ● Define cloud computing.
    ● Cloud computing Infrastructure.
    ● Cloud service and deployment models.
    ● Common misconceptions about cloud computing.
    ● Common cloud Implementations.
    ● Architecture discussion
    ● Lab preparation
    ● AWS account creation
    ● Overview of major AWS services
    ● Benefits of studying AWS
2. Identity And Access Management Techniques (IAM)
    ● Understand Users, Groups and Roles
    ● Policies and Policy documents
    ● Lab creating roles, user and groups
    ● Access control
    ● Policy management
    ● Lab policy creation
    ● Restricting different services for users.
3. Amazon Elastic Compute Cloud (EC2)
    ● Defining EC2 Instances
    ● Different type of Images (AMI)
    ● Lab creation Linux/Windows EC2 instances
    ● Lab connecting to EC2 instances
    ● Lab AMI creation
    ● Volumes (EBS)
    ● Lab volume creation
    ● Lab setting up a volume once attached to Ec2
    ● Lab snapshot creation
    ● Lab security Groups
    ● Key Pairs
    ● Auto-scaling concept
    ● Lab autoscaling
    ● Lab creation of billing alerts
    ● Lab Cloud Watch
4. S3
    ● S3 buckets and its usage
    ● Lab creating a S3 Bucket
    ● Lab upload and retrieve data from S3 bucket.
    ● Lab giving privileges on to S3 bucket.
    ● Lab on S3 policies and ACLs
    ● Lab Life Cycle Management
    ● Lab object expiration in S3
    ● Lab S3 Versioning
    ● S3-RRS, S3-IA and Glacier
    ● CORS, Lab S3 Policy
    ● Lab hosting a website on S3
5. SNS, SWF, and SQS
    ● Working with a simple notification system.
    ● Understanding queuing service.
    ● SNS and SQS real-time use case
    ● Introduction to SWF and use case
    ● Lab on SNS
6. Networking: Setting up VPC and NAT
    ● Lab creation of custom VPC
    ● Default VPC concepts
    ● Lab CIDR notation
    ● Subnets and routing concepts
    ● Different methods to connect to custom VPC
    ● Lab to create Subnets
    ● Lab ACLs
    ● Lab Routing rules.
    ● Lab to create security groups at instance.
    ● Lab setting up public and private subnets
    ● Lab setting up Internet/Nat gateway
    ● Lab Securing your network.
    ● Lab Network ACLs
7. AWS Databases RDS and Dynamodb
    ● AWS Database services overview – RDS, DynamoDB, Elasticache, Redshift
    ● Lab creating RDS instances
    ● Read Replicas
    ● RDS scaling concepts, postgres sql server
    ● RDS Oracle Server
    ● Database migration Service
    ● Lab configuring Multi-AZ failover
    ● Lab accessing a database hosted on RDS
    ● DynamoDb Core knowledge
    ● Scaling with Dynamodb
    ● DynamoDb write and read unit calculation, Elasticache concepts
    ● Elasticache Concepts
8. Application Services
    ● R53 and DNS
    ● Domain registration
    ● R53 routing policies
    ● Lab on routing policy setup
    ● Routing policies in detail
    ● AWS CloudFront
    ● AWS Cloud Formation
    ● Deployment Using Cloud Formation Direct Connect
9. HA Architecture
    ● Elastic Load Balancing
    ● Advanced Load Balancer
    ● Lab Elastic load balancing
    ● Launch configuration
    ● Auto scaling concepts
    ● Lab Auto scaling
    ● Backup and Disaster Recovery
    ● Deployment on AWS
    ● Cost Optimization in AWS
    ● KMS
10. Serverless
    ● Lambda Basics
    ● Lab on serverless Webpage

1. Introduction to Git& Distributed Version Control
2. Types of Version Control System
3. Life Cycle
4. Create clone & commit Operations
5. Push & Update Operations
6. Stash, Move, Rename & Delete Operations.

 ● Deploy a Python/Java application
    ● To access/create/upload files on S3 through EC2/Lambda
    ● To create tables, insert values in Dynamo-Db through EC2/Lambda
    ● Lab on Kinesis, through cloud formation
    ● Designing Fault tolerant and Highly Available architecture (ELB)
    ● Host Static Website on S3
    ● Build a Serverless Web Application
    ● Build an Alexa Skill

  ● 500+ Practice Questions, in-line with certification.
    ● Doubts Clarification Session
    ● Interview Preparation by Certified AWS Trainer

1. Introduction to Python
    ● Python Installation and setting up your Environment
    ● Get familiar with various Integrated Development Environments (IDEs) such as IDLE, PyCharm
    ● Start Python programming by learning to code in an interactive shell.
    ● Start programming on an interactive shell.
    ● Python Identifiers, Keywords
    ● Access Command line arguments within programs
2. Conditional Statement, Loops and File Handling
    ● Python Data Types and Variable
    ● Condition and Loops in Python
    ● Python Modules & Packages
    ● Python Files and Directories manipulations
    ● Use various files and directory functions for OS operations
3. Python Core Objects and Functions
    ● Built in modules (Library Functions)
    ● Numeric and Math’s Module
    ● String/List/Dictionaries/Tuple
    ● Complex Data structures in Python
    ● Python built in function
    ● Python user defined functions
    ● The anonymous Functions – Lambda Functions
    ● Decorators
    ● Iterators and Iterable
    ● Generators
    ● Yield keyword
    ● Iterators Generators Difference
4. Object Oriented Python
    ● Overview of OOPs Concepts
    ● Class Definitions
    ● Object , Classes and Destroying Objects
    ● Accessing attributes, Built-In Class Attributes
    ● Creating Methods and Accessing Methods
    ● Inheritance and Polymorphism
    ● Overriding Methods, Data Hiding
    ● Overloading Operators
5. Exception Handling in Python
    ● Introduction about Errors and Errors Types
    ● Exceptions Handling
    ● Handling various exceptions using try….except…else
    ● Try-finally clause
    ● Python Standard Exceptions
    ● Raising an exceptions, User-Defined Exceptions
6. Regular Expression
    ● Regular Expressions
    ● What are regular expressions?
    ● The match and search Function
    ● Compile and matching
    ● Matching vs searching
    ● Search and Replace feature using RE
    ● Extended Regular Expressions
    ● Wildcard characters and work with them
7. Modules & Packages
    ● Modules
    ● How to import a module…?
    ● Packages
    ● How to create packages
8. File Handling
    ● Writing data to a file
    ● Reading data from a file
    ● Appending Data to file
    ● Read and Write data from csv file
    ● OS module
    ● Rename and Removing files, directories

1. Quantitative Aptitude
    ● Number Systems
    ● LCM and HCF
    ● Percentages
    ● Profit, Loss and Discount
    ● Interest (Simple and Compound)
    ● Speed, Time and Distance
    ● Ratio and Proportion
    ● Probability
    ● Permutation & Combination
    ● Time and Work
2. Logical Reasoning
    ● Number and Letter Series
    ● Calendars
    ● Clocks
    ● Logical Sequence
    ● Blood Relations
3. Logical Reasoning
    ● Ages
    ● Speed math
    ● Mixture & Allegations
    ● Coding & Decoding
    ● Simplification
    ● Seating arrangements
    ● Puzzles
    ● Sequence

1. Self-Analysis
    ● Know yourself
    ● Personality types
    ● Areas of interest
2. Self-Discovery
    ● SWOT Analysis – strength, weakness, opportunities, threats
3. Goal Setting
    ● Short-term plan
    ● Long-term plan
    ● Effective Time Management
4. Effective Self Presentation
    ● Personal grooming
    ● Dressing,
    ● Hygiene
5. Effective Communication
    ● Verbal – Language
    ● Voice modulation – Tone, Pitch
    ● Clarity of Speech
    ● Listening skills
    ● Written communication – general business correspondence
6. Email Etiquette
7. Body Language
    ● Understanding non-verbal communication
    ● Postures, Gestures, Eye contact
8. Resume Writing
9. Tips for Group Discussion
10. Handling Telephonic interview
11. Mock – Technical interview
12. Mock – Personal interview (PI)
13. Office Etiquettes and Mannerisms