Post Graduate Certification Program In Software Engineering

Upskill yourself with the upscaling IT sector. Enrich your knowledge and functional skills as per Current Industry requirements. Accelerate your career learning specialized topics ranging from software architecture to implementation techniques, building on inevitable skills to tackle modern software systems.  

 

  4.5 Rating   |  1000+ Enrolments   |   Classroom , Online & E- Learning

Enquire :  808-899-8664

Post Graduate Certification Program In Software Engineering

Software Engineering is transforming as the number of job opportunities will be increasing by 22% globally from 2020 to 2030. We, at Digital Nest, bring forth the Post Graduate Program in Software Engineering with a 360* preview on SQL, HTML, CSS, JavaScript, Django, Core Python, Python For Data Science, Linux, and many more. Become an Expert and industry-ready with our Comprehensive program prepared and taught by specialists.

  4.5 Rating   |  1000+ Enrolments

Classroom , Online & E- Learning

Enquire :  808-899-8664

11 Months

Duration

1000+

Course Enrollments

100%

Placement Assistance

320+

Hours Of Content

0% EMI 

3 Partner Banks

Key Highlights Of  Course

   320+ Learning Hours

  1 on 1 Student Mentorship
  Learn Using Advanced LMS

  5 Projects

  15+ Assignments

  100% Placements Assistance

  Trainers with 12 + Experience
Backup Classes, Videos
  0% EMI Option Available

Guest Lectures from subject Matter          Experts

Learn From Experts The Most Advanced Post Graduate Program In

 Software Engineering 

Software Engineering Curriculum

Curriculum prepared alumnus of IIT Chennai and reviewed by top notch Software Engineering experts

1. Data Base

SQL:
• SQL Introduction
• Installing a Database
• Creating database
• Creating Tables
• insertions
• deletions
• updations
• Groupings and Aggregations
• Eliminating Duplicates
• Filtering• ordering
• merging tables
• Horizontal Merging
• Vertical Merging
• Types of Joins
• Various Built-in Functions
• working with queries
• Sub-queries

2. Front End Development

HTML
• Introduction to WEB
• HTML Basic Tags
• HTML Formatting Tags
• HTML Lists
• HTML Tables
• HTML Images
• HTML Anchors
• HTML Forms
• HTML Input Elements
• HTML Form Attributes
• HTML Frames
• HTML GET/POST
• HTML5 Drag/Drop
• HTML Canvas
• HTML Multimedia

CSS 
• CSS Basics
• CSS Introduction
• CSS Syntaxes
• CSS Styling,
• Styling Backgrounds
• Styling Fonts,
• Styling Links,
• Styling Lists
• Styling Tables
• CSS Borders
• CSS Selectors
• CSS Fonts
• CSS Text Effects
• CSS Backgrounds
• CSS keyframes Rule
• CSS Multiple Columns
• CSS 2D Transforms
• CSS 3D Transforms
• CSS Transitions
• CSS Animations
• CSS User Interface

Java Script

  • What is Script? Types of Scripts?
  • Introduction to JavaScript
  • Comments and Types of Comments
  • Popup Boxes
  • Variables & Operators
  • JavaScript Functions and Events
  • Conditional Statements
  • Looping Control Statements
Django Framework
I) INTRODUCTION

• What is Django?
• Why Django? Key Advantages
• History of Django
• Features of Django
• Characteristics of Django
• Companies Using Django
• Difference b/w MVC and MVT
• Models Views and Templates

II) WEB FRAMEWORKS
• What is a Web Framework?
• What is a server?
• HTTP Requests and HTTP Responses
• What is a web framework ?
• What is a web application?
• Steps in Developing web application.

III) DJANGO INSTALLATION
• Django Architecture
• Django Installation
• Virtual Environment
• Working with Pycharm
• Working with ATOM
• Developing First Django Application

IV) DJANGO PROJECT ARCHITECTURE
• Exploring manage.py,
• Exploring urls.py
• Exploring settings.py,
• Exploring admin.py,
• Exploring models.py,
• Exploring views.py,
• Application creations and Examples

V) DJANGO APPLICATION CREATION
• steps in Application creation
• Working with views
• Working with HTML and CSS
• Working with Bootstrap
• Django Application creation in Atom
• Django Application creation in Pycharm
• project with multiple Applications
• Reusing a Application in different projects
• working with staticfiles

VI) DJANGO VIEWS
• Requesting a web page via URL
• Rendering web page via view function
• Render HttpResponse to templates
• Application with multiple views
• Understanding context object and dictionary type
• GET and POST methods

VII) DJANGO TEMPLATES
• Template tags
• Template Filters
• Template API
• Passing Dynamic content to template file
• Passing multiple dict values to template
• Loading static files
• Adding image file to template
• Advanced Templates
• Template library
• custom template filter
• custom templates tags
• Registering the tags

VIII) DJANGO ADMIN
• Activating the Admin interface
• Creating super user for Admin site
• Using the Admin site
• How to use the Admin site

IX) DJANGO MODELS
• working with models and databases
• Defining Models
• Model Fields
• Defining forms
• ModelForms
• makemigrations and migrate
• Registering models in settings.py
• Registering models with Admin site
• Connecting with sqlite3
• Connecting with MySQL
• Connecting with Oracle

X) ADVANCED CONCEPTS
• Django ORM
• Faker Module
• Class based views
• Form validation
• Rendering forms
• crispy forms
• MultiselectField
• Embeded Video
• Uploading and downloading Files
• Working with Audio and video
• Integrating with legacy databases and applications
• Sessions users Registrations
• Security
• Django Deployment
• Other Contributed Frameworks

    3. Application Development

    Core Python, Advanced Python  

    • Python Basics
    • Python Operations
    • Operators in Python
    • Python IDE’s
    • Flow Control Statements
    • Looping Statements
    • Strings in Python
    • Collection in Python
    • Python Lists
    • Python Tuples
    • Python Sets
    • Python Dictionary
    • Functions in Python
    • Modules in Python
    • Packages
    • Errors and Exception Handling
    • File Handling
    • OOP Concepts
    • regular Expressions
    • Database Access
    • Python Date and Time
    • Operating System Module
    • Advanced Concepts
    • GUI Programing
    • Data Analytics
    • Python Pandas
    • Excel Workbook
    • Introduction to Data Science
    • Python Numpy
    • Python Matplotlib
    4. Data Science

    Python For Data Science

    Introduction to Data Science

      • Machine Learning Introduction
      • Datasets
      • Supervised /Unsupervised Learning
      • Statistical Analysis
      •  Data Analysis
      •  Uni-variate/multi-variate analysis
      •  Correlation Analysis
      •  Algorithm types
      •  Applications

      Python Matplotlib

      • Introduction to matplolib
      • Installing matplotlib
      • Generating graphs
      •  Generating Bargraphs
      •  Histograms
      •  Scatter plots
      •  Stack plots
      •  Pie plots

      PANDAS
      Pandas – Introduction
      Pandas – Environment Setup

      • Series
      •  Data Frame
      •  Data Type of Columns
      •  Panel

      Pandas — Series

      • Series
      •  Create an Empty Series
      •  Create a Series f
      •  from ndarray
      •  from dict
      •  Accessing Data from Series with Position
      •  Retrieve Data Using Label (Index)

      Pandas – DataFrame

      • DataFrame
      •  Create DataFrame
      •  Create an Empty DataFrame
      •  Create a DataFrame from Lists
      •  Create a DataFrame from Dict of ndarrays / Lists
      •  Create a DataFrame from List of Dicts
      •  Create a DataFrame from Dict of Series
      •  Column Selection
      •  Column Addition
      •  Column Deletion
      •  Row Selection, Addition, and Deletion
      •  Pandas – Panel

      Panel()

      •  Create Panel
      •  Selecting the Data from Panel
        Pandas – Working with Text Data
        Pandas – Indexing and Selecting Data
      • loc()
      • .iloc()
      •  Use of Notations

      Pandas – Aggregations

      • Applying Aggregations on DataFrame

      Pandas – Missing Data

      •  Cleaning / Filling Missing Data
      •  Replace NaN with a Scalar Value
      •  Fill NA Forward and Backward
      •  Drop Missing Values

      Replace Missing (or) Generic Values

      • Pandas – GroupBy
      •  Split Data into Groups
      •  View Groups
      •  Iterating through Groups
      •  Select a Group
      •  Aggregations
      •  Transformations
      •  Filtration

      Pandas – Merging/Joining

      • Merge Using ‘how’ Arguments
      • Pandas – Concatenation
      •  Concatenating Objects

       

      • Pandas – Merging/Joining
        • Merge Using ‘how’ Arguments
        • Pandas – Concatenation

        Pandas – Concatenation

        • Concatenating Objects
        • Time Series

        Pandas – Date Functionality

        Pandas – Timedelta

        Pandas – Categorical Data

        • Object Creation

        Pandas – Visualization

        • Bar Plot
        • Histograms
        • Box Plots
        • Area Plot
        • Scatter Plot
        • Pie Chart

        Pandas – IO Tools

        • csv

        Pandas – Comparison with SQL

         

      • NUMPY

        NUMPY − INTRODUCTION

        NUMPY − ENVIRONMENT

        NUMPY − NDARRAY OBJECT

        NUMPY − DATA TYPES

        • Data Type Objects (dtype)

        NUMPY − ARRAY ATTRIBUTES

        • shape
        • ndim
        • itemsize
        • flags

        NUMPY − ARRAY CREATION ROUTINES

        • empty
        • zeros
      • NUMPY − ARRAY FROM EXISTING DATA

        NUMPY − ARRAY FROM NUMERICAL RANGES

        • arange
        • linspace

        NUMPY − INDEXING & SLICING

        NUMPY − ADVANCED INDEXING

        • Integer Indexing
        • Boolean Array Indexing

        NUMPY − ITERATING OVER ARRAY

        • Iteration
        • Order
        • Modifying Array Values
        • External Loop

        NUMPY – ARRAY MANIPULATION

        • reshape
        • ndarray.flat
        • ndarray.flatten
        • ravel
        • transpose
        • ndarray.T
        • swapaxes
        • rollaxis
        • broadcast
        • broadcast_to
        • expand_dims
        • squeeze
        • concatenate
        • stack
        • hstack and numpy.vstack
        • split
        • hsplit and numpy.vsplit
        • resize
        • append
        • insert
        • delete
        • unique
      • NUMPY – BINARY OPERATORS
        • bitwise_and
        • bitwise_or
        • invert()
        • left_shift
        • right_shift

        NUMPY − STRING FUNCTIONS

        NUMPY − MATHEMATICAL FUNCTIONS

        • Trigonometric Functions
        • Functions for Rounding

        NUMPY − ARITHMETIC OPERATIONS

        • reciprocal()
        • power()
        • mod()

        NUMPY − STATISTICAL FUNCTIONS

        • amin() and numpy.amax()
        • ptp()
        • percentile()
        • median()
        • mean()
        • average()
        • Standard Deviation
        • Variance

        NUMPY − SORT, SEARCH & COUNTING FUNCTIONS

        • sort()
        • argsort()
        • lexsort()
        • argmax() and numpy.argmin()
        • nonzero()
        • where()
        • extract()

        NUMPY − BYTE SWAPPING

        • ndarray.byteswap()

        NUMPY − COPIES & VIEWS

      • No Copy
      • View or Shallow Copy
      • Deep Copy

      NUMPY − MATRIX LIBRARY

      • empty()
      • matlib.zeros()
      • matlib.ones()
      • matlib.eye()
      • matlib.identity()
      • matlib.rand()

      NUMPY − LINEAR ALGEBRA

      • dot()
      • vdot()
      • inner()
      • matmul()
      • Determinant
      • linalg.solve()

      NUMPY − MATPLOTLIB

      • Sine Wave Plot
      • subplot()
      • bar()

      NUMPY – HISTOGRAM USING MATPLOTLIB

      • histogram()
      • plt()

      NUMPY − I/O WITH NUMPY

      • save()
      • savetxt()
    5. Cloud Computing
    Introduction to Cloud Computing
    • Introduction cloud computing world History
    • Cloud business models
    • Public, Private and Hybrid cloud models
    • Advantages of cloud computing
     Linux
    • Introduction to BASH
    • Basic Commands (is,cd,cat,touch,mkdir)
    • Text Editor(vi)
    • Package Management(yum)
    • Installing and Removing Software
    • Configuring a Apache Web server
    • Creating File System and mounting
    • Volume Management
    AWS

     AWS Overview

    • AWS Regions and Availability zones
    • Tools to access services
    • Overview of the console
    AWS EC2(Elastic Compute Cloud)
    • Introduction to EC2
    • Pricing models On-demand vs Reserved vs Spot instances.
    • Using Amazon Machine Images (AMIs) to create instances.
    • Public vs Private Images.
    • Sharing Images to other accounts.
    • Logging into instances using key pairs.
    • Converting PEM files to ppk.
    • Volumes and types.
    • Using snapshots for backup.
    • Increasing the size of the volumes.
    • Backup and restore process of the EC2 instances.
    • Adding network interfaces.
    • Assigning static IPs using Elastic IPs.
    • Control access to instances using Security Groups

    Elastic Load Balancer

    • Introduction to Elastic Load Balancing.
    • Creating ELB from Console.
    • Attaching instances to ELB.
    • Configuring Ports, Protocols and health checks.
    • Enabling sticky session.
    • Connection draining.
    • Enabling SSL Certificates for https transactions.
     Cloud Watch
    • Introduction to CloudWatch Monitoring Service.
    • Setting thresholds.
    • Configuring Actions.
    • Monitoring CPU, Memory and network utilization of different resources.
    • Creating Notifications.
    • Integrating with Auto-scaling.
    Simple Notification Services
    • Introduction to notifications.
    • Creating Topics.
    • Subscribing to Topic.
    • Publishing to SNS Topic.
    • Testing Email and SMS Functionality.
    Relational Database Service
    • Introduction to Managed Database.
    • Creating RDS instances using AWS console.
    • Choosing an RDS engine and version.
    • Public vs Private database instances.
    • Multi-AZ setup.
    • Backup using snapshots and point in restore.
    • Parameter Group.
    • Options Group.
    • Control access to instances using Security Groups.
    Auto-Scaling
    • Overview.
    • Creating launch configuration.
    • Creating auto-scaling group.
    • Auto-scaling policies.
    AWS S3 (Simple Storage Service)
    • Introduction to Simple Storage Server (S3).
    • Storage options (default vs reduced redundancy vs Glacier).
    • Creating buckets using Console.
    • Uploading and downloading data tS3.
    • Building static websites using S3.
    • Enable version control on S3.
    • Creating buckets using Console.
    • S3 access policies.
    Storage (Glacier)
    • Introduction to Glacier. (S3).
    • Moving data from S3 to Glacier.
    • Setting archiving policies on S3.
    Cloud Front (Content Delivery Network)
    • Introduction to Content Delivery Networks.
    • Overview of Amazon CDN
    • Origins and Edge locations
    • Configure S3 backend for CloudFront.
    • Configure ELB backend from CloudFront.
    Elastic BeanStlak
    • Introduction to Elastic BeanStlak.
    • Creating Environment.
    • Deploying a Sample APP.
    Identity Access Management (IAM)
    • Introduction to IAM.
    • Access controls using IAM.
    • Creating users, groups and roles.
    • Assigning policies.
    • Inline vs Managed policies.
    Virtual Private Cloud (VPC)
    • Introduction.
    • Choosing a network design and CIDR.
    • Design a simple network.
    • Creating Subnets and setup routing as per the design.
    • Using IGW tenable internet access.
    • Access controls using Network ACLs.
    • Network ACLs vs Security Groups.
    • Creating Private connections data center to AWS.
    • Enabling VPC peering between VPCs.
    Cloud Formation
      • Introduction.
      • Understanding the template format.
      • CloudFormation designer.
      • Create a simple CloudFormation template.
      • Managing dependencies.
      • Updating the existing stacks.
      • Intrinsic functions.
      • Pseudo parameters.
      • Updating CloudFormation stacks.
      • Understanding event.
      • Cloudformer.
    Using CLI
    • Introduction AWSCli.
    • Installing CLI tools using rpm or pip.
    • Configuring credentials.
    • AWS CLI syntax.
    • Creating and managing resource using CLI.
    • Examples.
    Route 53(DNS Service)
    • Creating Hosted Zones.
    • Hosting a Website.
    • Understanding Routing Policies.
    • Weighted, Simple and Failover Policies.
    Best Practices
    • Cost Optimization.
    • Cloud migration Strategy.
    • Using 3rd party tools for health and billing monitoring.
    Devops

    Introduction

    • What is DevOps?
    • What is SDLC?
    • Why DevOps?
    • DevOps principles.
    • Waterfall vs Agile vs DevOps
    • Infrastructure As A Code
    • DevOps Tools
    • Pre-Requisites for DevOps
    • Configuration Management
    • Continuous Integration and Deployment

    Apache Tomcat

    • Introduction to Webservers
    • Installing and Configuring Apache
    • Application Management
    • App Deployment Methods

    GIT

    • Introduction to version control systems
    • Centralized vs Distributed
    • GIT advantages
    • Installing GIT
    • Creating repository
    • Adding code and creating commits
    • Creating GitHub account
    • Push code to GitHub
    • Cloning repo from GitHub
    • Forking GitHub repo and working on it.

    Maven(Build Management)

    • Build Management
    • Advantages of Build tool
    • Build tools
    • Architecture of Maven
    • Maven build life-cycle
    • Maven directory structure
    • Maven repositories
    • xml
    • Multi module project

    Configure Management Systems

    • Introduction
    • What is Idempotency
    • Abstract layers
    • Ansible vs Chef vs Puppet
    • Push or Pull mode

    Ansible

    • Installing Ansible using RPM or Python PIP
    • Inventory
    • Ansible Modules
    • Running ansible ad-hoc commands
    • Creating ansible playbooks
      • Variables
      • Loops
      • Conditional execution
    • Using ansible facts for customization
    • Creating ansible roles
    • What is Ansible Galaxy
    • How to download ansible roles from Ansible galaxy

    Jenkins

    • Overview
    • Installation
    • Setting up authentication
    • Manage plugins from console
    • Installing GitHub plugin from repository
    • Adding Ant/Maven support
    • Configuring email notifications
    • Continuous deployments using Jenkins
    • Explore Jenkins system configuration
    • Analyzing system logs

    Docker

    • What is Docker
    • Containers Vs Virtual Machines
    • Docker platform overview and Terminology
    • Docker engine
    • Images
    • Containers
    • Registry
    • Repositories
    • Docker hub
    • Docker orchestration tools

    Kubernetes

    • What is kubernetes
    • Installation of kubernetes
    • Features of kubernetes
    • Architecture of kubernetes
    • Kubernetes Master
    • Kubernetes Nodes
    • Kubernetes Components
    • Kube-api server
    • etcd(cluster store)
    • kube-scheduler
    • kube-proxy
    • kubelet
    • pods
    • multicontainer pod
    • pod limitations
    • replica sets
    • Deployments

    Nagios

    • Introduction
    • Nagios Architecture
    • Installing and Configuring Nagios
    • How to Add Services to Nagios
    • Monitoring with Nagios
    • Using the Default Plugins
    • How to configure Plugins on Remote Nodes
    Microsoft Azure

    Introduction

    • Azure Introduction
    • Creating Azure Free Account
    • Understanding Azure Subscriptions and Roles
    • Understanding Azure Portals
    • ASM (Azure Service Manager) (Deprecated)
    • ARM (Azure Resource Manager)

    Building Blocks (IAAS)

    Compute

    • Introduction to Virtual Machines
    • Compute tiers
    • pricing
    • Different ways to deploy virtual machines
    • Configuring and managing azure virtual machines
    • Advanced concepts on Azure virtual machines
    • Different types VM images
    • Custom images
    • VM disks
    • Availability sets
    • Availability Zones
    • Azure Scale sets
    • Assigning static Ips

    Network

    • Introduction to Azure Virtual Networks
    • Creating and Managing Azure virtual networks
    • Understanding Network ACLs and Network Security groups
    • Understanding Azure DIP, VIP and PIP
    • Azure VNET to VNET
    • Azure Point to Site
    • Azure Site to Site
    • Azure ExpressRoute

    Storage

    • Introduction Azure Storage
    • Understanding Different Azure Storage replication techniques
    • LRS (Locally Redundant Storage)
    • ZRS (Zone Redundant Storage)
    • GRS (Geo Redundant Storage)
    • RA-GRS (Read Only – Geo Redundant Storage)
    • Different types of Azure Storage options
    • Azure File Storage
    • Azure Blob Storage
    • Azure Queue Storage
    • Azure Table Storage
    • Advanced Concepts on Azure Storage
    • Storage Access Keys
    • Storage Access Signatures
    • Use cases for Azure File, Table, Queue and Blob storage
    • Different types of Blobs
    • Understanding Azure Managed Storage

    Identity and Access management(Azure Active Directory)

    • Active Directory Fundaments
    • Understanding Azure Active Directory
    • OAuth
    • Multifactor Authentication
    • Understanding Differences Between Traditional AD and Azure AD
    • Understanding Azure AD integration
    • Azure AD data Sync
    • Role based Access Control

     PAAS

    Azure WebApps

    • Introduction to Azure Web Apps
    • Understanding Web App Tiers and Pricing
    • Understanding App Service Plans
    • Understanding Different Ways to deploy Web Apps
    • Deployment pipeline
    • Scaling Web Apps
    • Supported Languages
    • Security and Monitoring
    • Understanding Web jobs
    • Azure Logic Apps
    • Azure API Apps

    Azure SQL Database

    • Introduction Azure SQL Database as a service
    • Comparing Azure SQL and Traditional SQL
    • Benefits of Azure SQL database
    • Advanced capabilities
    • Backup options
    • Scaling Azure SQL Database
    • Security
    • Pricing

    Azure Service Bus

    • Introduction to Azure Service Bus
    • Service Bus Queues
    • Service Bus Topics
    • Service Hub Relays
    • Event Hubs

    Azure Traffic Manager

    • Introduction Azure Traffic Manager
    • Understanding Different traffic routing methods
    • Priority method (Failover method)
    • Weighted method (Round-robin method)
    • Performance method (Performance method)

    Azure CDN

    • Introduction Azure CDN
    • Understanding Azure CDN
    • Setting up Azure CDN

    Other Azure Services

    • Azure SAAS
    • Azure Backup
    • Azure Load balancer
    • Azure Site Recovery
    • Azure PowerShell
    • Azure CLI
    • Azure Cloud Services
    • Azure Automation
    • Azure Keyvault
     Google Cloud

    Designing and Planning a Cloud Infrastructure

    Designing a solution infrastructure 

    • Business use cases and product strategy
    • Cost optimization
    • Supporting the application design
    • Integration with external systems
    • Movement of data
    • Design decision trade-offs
    • Build, buy, or modify
    • Success measurements (e.g., key performance indicators [KPI], return on investment[ROI], metrics)
    • Compliance and observability
    • High availability and failover design
    • Elasticity of cloud resources
    • Scalability to meet growth requirements
    • Performance and latency

    Designing network, storage, and compute resources

    • Integration with on-premises/multi-cloud environments
    • Cloud-native networking (VPC, peering, firewalls, container networking)
    • Choosing data processing technologies
    • Choosing appropriate storage types (e.g., object, file, RDBMS, NoSQL, NewSQL)
    • Choosing compute resources (e.g., preemptible, custom machine type, specialized workload)
    • Mapping compute needs to platform products

    Creating a migration plan

    • Integrating solution with existing systems
    • Migrating systems and data to support the solution
    • Licensing mapping
    • Network planning
    • Testing and proof of concept
    • Dependency management planning

    Envisioning future solution improvements

    • Cloud and technology improvements
    • Business needs evolution
    • Evangelism and advocacy

    Managing and provisioning a solution Infrastructure

    Configuring network topologies

    • Extending to on-premises (hybrid networking)
    • Extending to a multi-cloud environment that may include GCP to GCP communication
    • Security and data protection

    Configuring individual storage systems

    • Data storage allocation
    • Data processing/compute provisioning
    • Security and access management
    • Network configuration for data transfer and latency
    • Data retention and data life cycle management
    • Data growth management

    Configuring compute systems

    • Compute system provisioning
    • Compute volatility configuration (preemptible vs. standard)
    • Network configuration for compute nodes
    • Infrastructure provisioning technology configuration (e.g. Chef/Puppet/Ansible/Terraform/Deployment Manager)
    • Container orchestration with Kubernetes

    Analyzing and Optimizing Technical and Business Processes

    Analyzing and defining technical processes

    • Software development life cycle plan (SDLC)
    • Continuous integration / continuous deployment
    • Troubleshooting / post mortem analysis culture
    • Testing and validation
    • Service catalog and provisioning
    • Business continuity and disaster recovery

    Analyzing and Defining Business Processes

    • Stakeholder management (e.g. influencing and facilitation)
    • Change management
    • Team assessment / skills readiness
    • Decision-making process
    • Customer success management
    • Cost optimization / resource optimization (capex / opex)

    Developing procedures to ensure resilience of solution in production

    Managing implementation

    Advising development/operation team(s) to ensure successful deployment of the solution

    • Application development
    • API best practices
    • Testing frameworks (load/unit/integration)
    • Data and system migration tooling

    Interacting with Google Cloud using GCP SDK (gcloud, gsutil, and bq)

    • Local installation
    • Google Cloud Shell

    Ensuring solution and operations reliability

    • Monitoring/logging/profiling/alerting solution
    • Deployment and release management
    • Assisting with the support of solutions in operation
    • Evaluating quality control measures
      6. Testing

      Selenium

      Designing a solution infrastructure 

      • Business use cases and product strategy
      • Cost optimization
      • Supporting the application design
      • Integration with external systems
      • Movement of data
      • Design decision trade-offs
      • Build, buy, or modify
      • Success measurements (e.g., key performance indicators [KPI], return on investment[ROI], metrics)
      • Compliance and observability
      • High availability and failover design
      • Elasticity of cloud resources
      • Scalability to meet growth requirements
      • Performance and latency

      Designing network, storage, and compute resources

      • Integration with on-premises/multi-cloud environments
      • Cloud-native networking (VPC, peering, firewalls, container networking)
      • Choosing data processing technologies
      • Choosing appropriate storage types (e.g., object, file, RDBMS, NoSQL, NewSQL)
      • Choosing compute resources (e.g., preemptible, custom machine type, specialized workload)
      • Mapping compute needs to platform products

      Creating a migration plan

      • Integrating solution with existing systems
      • Migrating systems and data to support the solution
      • Licensing mapping
      • Network planning
      • Testing and proof of concept
      • Dependency management planning

      Envisioning future solution improvements

      • Cloud and technology improvements
      • Business needs evolution
      • Evangelism and advocacy

      Managing and provisioning a solution Infrastructure

      Configuring network topologies

      • Extending to on-premises (hybrid networking)
      • Extending to a multi-cloud environment that may include GCP to GCP communication
      • Security and data protection

      Configuring individual storage systems

      • Data storage allocation
      • Data processing/compute provisioning
      • Security and access management
      • Network configuration for data transfer and latency
      • Data retention and data life cycle management
      • Data growth management

      Configuring compute systems

      • Compute system provisioning
      • Compute volatility configuration (preemptible vs. standard)
      • Network configuration for compute nodes
      • Infrastructure provisioning technology configuration (e.g. Chef/Puppet/Ansible/Terraform/Deployment Manager)
      • Container orchestration with Kubernetes

      Analyzing and Optimizing Technical and Business Processes

      Analyzing and defining technical processes

      • Software development life cycle plan (SDLC)
      • Continuous integration / continuous deployment
      • Troubleshooting / post mortem analysis culture
      • Testing and validation
      • Service catalog and provisioning
      • Business continuity and disaster recovery

      Analyzing and Defining Business Processes

      • Stakeholder management (e.g. influencing and facilitation)
      • Change management
      • Team assessment / skills readiness
      • Decision-making process
      • Customer success management
      • Cost optimization / resource optimization (capex / opex)

      Developing procedures to ensure resilience of solution in production

      Managing implementation

      Advising development/operation team(s) to ensure successful deployment of the solution

      • Application development
      • API best practices
      • Testing frameworks (load/unit/integration)
      • Data and system migration tooling

      Interacting with Google Cloud using GCP SDK (gcloud, gsutil, and bq)

      • Local installation
      • Google Cloud Shell

      Ensuring solution and operations reliability

      • Monitoring/logging/profiling/alerting solution
      • Deployment and release management
      • Assisting with the support of solutions in operation
      • Evaluating quality control measures

       

      Digital Nest Advantage

      Have a Great Journey of Learning at Digital Nest

      Our Courses are taught by Real time Industry Experts with latest teaching tools and techniques ,Our LMS and dedicated Support manager are Key Important aspects that make learning easy and simple.

      Interactive Learning

      All the Courses taught by us are Interactive , with Limited strength in a batch we make sure that you get the best experience

      Dedicated Placement Officer & Job Portal

      We conduct Mock Interviews and Screen CV’s to make you industry ready. We have a unique job portal disclosing all the job listings posted by the recruiter 

      Network with Alumni

      Digital Nest has over 6000+ alumnus working with various Organizations. We have a Networking app to connect with the alumni as well

      Dedicated Program Manager

      We have a dedicated Program Manager who will Constantly take feedback, for the Students to have a better learning experience

      World Class Learning Management System

      Digital Nest has built a Software for students to learn using LMS. Students can download material and freely access all the  live and Recorded sessions with no hassle

      Case Studies, Material , Assignments & Assessments

      All our courses are not just Theoretical, We teach using Practical methods such as  Simulation Exercises, Projects, Assessments etc

      Tools You Will Master

      Advanced Software Engineering  tools used by Software Engineering Experts in real time

      Get 30%+ Salary Hike + Career Transition

      Post Graduate Programme In Cloud Computing will help in career transitions with better hike

      Admission Process

      Eligibility 1
      Bachelor’s degree (10+2+3/4) or equivalent qualification in any discipline from a recognized University with a minimum 55% score.

      OR

      Eligibility 2
      Students who have appeared for their final year degree examination can also apply, however, their admission will be provisional and will be confirmed only after producing the results.

      Step 1: Application submission
      Check your eligibility, pay the fees for the Digital Nest Admissions Test, and fill in the application form in detail and take the Admissions Test. 

      Step 2: Application review
      All applications are thoroughly reviewed by the admissions committee. Shortlisted students will be called for a personal interview during which they can present their portfolios.

      Step 3: Personal Interview
      Each shortlisted applicant will be personally interviewed by the admissions committee. Qualified applicants will receive a letter confirming the admission to the Post Graduate Programme in DiData Science

      Application Fee : INR 1,000 /-

      Admission Fee : INR 20,000/-

      Tuition Fee : INR 1,00,000/-

      Examination & Certification  Fee: INR 30,000/-

      Total Fee :

      Post Graduate Programme in Digital Marketing: INR 1,50,000 + Taxes
      No cost EMI’s available from Rs. 6,999/month

      Education Loan :  Education Loan In Partnership with Propelled 

      We have an excellent Accommodation for the students across the globe . Contact the Couse Consultant for more details regarding the stay at hyderabad. 

      Get Certification From

      JainX

      Become a certified Software Engineering Professional and learn one of employer’s most requested skills of 2021

       Course Curriculum has been produced keeping in mind current industry standards and is constantly prone to alterations with the latest progressions in the subject.

      Our Alumni Testimonials

      Rated Avg 4.5*  Out Of 5 by 2000+ Learners

      I did PG certification in software engineering from Digital nest, the course is incredibly detailed, yet easy to grasp. The Faculties Mr. Manohar sir, Mr. Vijay sir, were very supportive and helped me throughout and even motivated me for job interviews as well. This course was a step up my career needed.

      Shivani | PG Certification in Software Engineering Trainee

      Software Engineer, Capgemini

      Wanted to take up Software engineering Courses for a long time now, went through many websites that offer the course like UpGrad, Great Lakes, etc, but the fees structure was extremely expensive. the course digital nest is offering is one of the best that you’ll come across, if you’d check their syllabus you’ll see there are many topics and all of them are taught in detail. compared to other courses available it is pocket friendly too, the ambience is pretty amazing and the faculties are friendly, approachable for doubts clearing.

      Sai Ramesh | PG in Software Engineering Trainee

      Frontend Developer, Deloitte

      Attended Digital Nest’s Azure Program. The trainer was well experienced & knowledgable. Good infrastructure.
      The program co-ordinators are always there if you want to reach out for any help. Multiple revision classes to help
      you get clarity on concepts. Can say Complete value for money. Digital Nest gave me a great learning opportunity to excel in my career.

      Vaishnavi | Azure Trainee

      Microsoft Azure Admin, Wipro

      I recently completed my graduation in BTech and wanted to do a PG in software engineering. A friend recommended me digital nest, and when I went through the curriculum it was exactly what I was looking for, I went in for a few demo sessions, and the experience was great. I enrolled myself in online sessions. The faculty is knowledgeable, incredibly supportive, and patient. They covered many topics like python from the basics. I was surprised to see how detailed this course is designed and the career opportunities that came along.
      I would highly recommend you to join Digital Nest.

      Karan | PG in Software Engineering Trainee

      Software Engineer , Qualcomm

      Our Students Hail From

      Students , Working Professionals & Business Owners From Various Start Ups And MNC’s

      Curriculum

      Post Graduate Certification Programme In  Software Engineering syllabus is designed by alumnus of IIT Chennai and Subject Matter Experts

      PG Certification Program In Software Engineering

      Fee : INR 1,50,000/- + Taxes

      Post Graduate Certification Program From

         Options to choose either Classroom, Online Or Self paced Learning

         320+ Learning Hours

         Learning Using World Class Learnig Management System  

         14 + Case Studies

         Dedicated Placement Manager for Interview Process

         Access to the Instructor for doubts clarification during and after the course

         100% Placement Assistance

         Connect and Network with alumni ,working with different organizations

         Unique Job Portal to Access Jobs and Internships posted by Hr’s From Various Companies

      FAQ’s 

      Software Engineering Details

       

      • image/svg+xmlimage/svg+xml

        What is the Post Graduation Program in Software Engineering?

        Post Graduation Program in Software Engineering is a 11 month course curated for working professionals and freshers to gain deep knowledge and build a career in Software Engineering.

      • image/svg+xmlimage/svg+xml

        What is the eligibility criteria for this program?

        Eligibility 1
        Bachelor’s degree (10+2+3/4) or equivalent qualification in any discipline from a recognized University with a minimum 55% score.

        OR

        Eligibility 2
        Students who have appeared for their final year degree examination can also apply, however, their admission will be provisional and will be confirmed only after producing the results.

      • image/svg+xmlimage/svg+xml

        Will I get any certificate after completion of the program?

        You will be granted Post Graduate Program In Software Engineering Certificate from Jain University, Bangalore.

      • image/svg+xmlimage/svg+xml

        What is the duration of this program?

        Post Graduation Program in Software Engineering is a 11 months course with 10+ hours of training per week. Classes will be held from Monday-Thursday

      • image/svg+xmlimage/svg+xml

        Will there be placements at the end of the program?

        We will be providing placement assurance upon successful completion of the course. We have a job portal specially designed for placements. Candidates will be shown job openings in MNC’s and Startup’s for the roles such as Software Engineer.

      • image/svg+xmlimage/svg+xml

        Will I get any real-time projects from the program?

        Yes, you will be getting 3 real-time projects.

      • image/svg+xmlimage/svg+xml

        Will I be evaluated during the program?

        There will be continuous evaluation throughout the course. Evaluation will be done through assignments, quizzes, case studies, projects, etc

      • image/svg+xmlimage/svg+xml

        Who will be the faculty for this program?

        Software Engineering modules will be taught by Industry leading experts with 8+ years of experience in Software Engineering.

       

      Software Engineering Details

       

      • image/svg+xmlimage/svg+xml

        What is the Post Graduation Program in Software Engineering?

        Post Graduation Program in Software Engineering is a 11 month course curated for working professionals and freshers to gain deep knowledge and build a career in Software Engineering.

      • image/svg+xmlimage/svg+xml

        What is the eligibility criteria for this program?

        Eligibility 1
        Bachelor’s degree (10+2+3/4) or equivalent qualification in any discipline from a recognized University with a minimum 55% score.

        OR

        Eligibility 2
        Students who have appeared for their final year degree examination can also apply, however, their admission will be provisional and will be confirmed only after producing the results.

      • image/svg+xmlimage/svg+xml

        Will I get any certificate after completion of the program?

        You will be granted Post Graduate Program In Software Engineering Certificate from Jain University, Bangalore.

      • image/svg+xmlimage/svg+xml

        What is the duration of this program?

        Post Graduation Program in Software Engineering is a 11 months course with 10+ hours of training per week. Classes will be held from Monday-Thursday

      • image/svg+xmlimage/svg+xml

        Will there be placements at the end of the program?

        We will be providing placement assurance upon successful completion of the course. We have a job portal specially designed for placements. Candidates will be shown job openings in MNC’s and Startup’s for the roles such as Cloud Architect, Cloud network Engineer, Cloud automation engineer, Cloud Developer, Cloud System Administrator, Cloud Security Manager, Cloud Product Manager, cloud Access security broker, Cloud broker

      • image/svg+xmlimage/svg+xml

        Will I get any real-time projects from the program?

        Yes, you will be getting 3 real-time projects.

      • image/svg+xmlimage/svg+xml

        Will I be evaluated during the program?

        There will be continuous evaluation throughout the course. Evaluation will be done through assignments, quizzes, case studies, projects, etc

      • image/svg+xmlimage/svg+xml

        Who will be the faculty for this program?

        Cloud Computing modules will be taught by Industry leading experts with 8+ years of experience in Cloud Computing

       

      Software Engineering Career Guidance Support
      • image/svg+xmlimage/svg+xml
        Will I get any career guidance after the course?

        Mentoring and guidance from Industry leading experts & trainers in Cloud computing will be given on how to build a resume. Career counselling will be given to find out the best career paths in Cloud computing. Interview preparation like mock interview sessions will be given to you during the end of the course.

      • image/svg+xmlimage/svg+xml
        How will my doubts be cleared?

        The Cloud Computing trainer will be physically present during the class, where doubts can be cleared during the session. Doubt clearing sessions will also be held every week.

      • image/svg+xmlimage/svg+xml
        Will I get any back up classes if I miss any session?

        We have a unique Learning Management System where every candidate can check the back-up classes if they miss out on any session. You can also check the assignments, materials and links in the app.

      Software Engineering Admission process and Fee related queries
      • image/svg+xmlimage/svg+xml
        What is the Admission Process for this program?

        Step 1: Application submission
        Check your eligibility, pay the fees for the Digital Nest Admissions Test, and fill in the application form in detail and take the Admissions Test. The test is designed to assess creativity, aptitude, communication, acumen, general knowledge to gauge the applicant’s vision & interest in Cloud Computing.

        Step 2: Application review
        All applications are thoroughly reviewed by the admissions committee. Shortlisted students will be called for a personal interview during which they can present their portfolios.

        Step 3: Personal Interview
        Each shortlisted applicant will be personally interviewed by the admissions committee. Qualified applicants will receive a letter confirming the admission to the Post Graduate Program in Cloud Computing

      • image/svg+xmlimage/svg+xml
        Should I have any minimum percentage to get enrolled in this program?

        Applicants should have minimum 55% aggregate from a recognized University.

      • image/svg+xmlimage/svg+xml
        What is the fee structure for this program?

        Application Fee : INR 1,000 /-

        Admission Fee : INR 20,000/-

        Tuition Fee : INR 1,00,000/-

        Examination & Certification  Fee: INR 30,000/-

        Total Fee :

        Post Graduate Programme in Cloud Computing : INR 1,50,000 + Taxes
        No cost EMI’s available from Rs. 6,999/month

        Education Loan :  Education Loan In Partnership with Propelled 

      • image/svg+xmlimage/svg+xml
        Can I pay through Credit Card EMI?

        Yes, our payment gateway partner is Razopray, All the leading banks can avail the credit card EMI option with no hassle

      • image/svg+xmlimage/svg+xml
        Is there any refund policy for this program?

        Yes we do, Please refer the link below for more details on the same

        Refund And Cancellation Policy

      [523.251,1046.50]
      [523.251,1046.50]
      [523.251,1046.50]
      [523.251,1046.50]