Software – Zenjade Automation

Software Training

FAKE

Master Program in Advanced Java Full Stack Web Development

Front-End Development

HTML5 & CSS3 Foundations

Bootstrap Version 5

JavaScript Fundamentals

Advanced JavaScript

TypeScript

Module 17: TypeScript Introduction
Module 18: Types (Primitive Types, Arrays, Tuples, Enums)
Module 19: Interfaces and Type Aliases
Module 20: Classes and Inheritance
Module 21: Functions and Optional Parameters

TypeScript Advanced

Angular Fundamentals

Angular Advanced

Back-End Development

Core Java

Module 32: Data Types and Variables
Module 33: Conditionals and Loops
Module 34: Methods, Classes, and Objects
Module 35: OOP Concepts in Java
Module 36: Collections in Java
Module 37: Streams and Lambda Expressions
Module 38: File Handling in Java

Advanced Java

Spring Framework

Module 44: Setup Environment Using Maven
Module 45: Servlets and JSP
Module 46: Spring Core
Module 47: Spring MVC
Module 48: Spring Boot
Module 49: Spring Data JPA with Hibernate

Spring Security

RESTful Web Services

Microservices Architecture

Deployment in Cloud

Database Development

SQL Fundamentals

Advanced SQL

Database Administration

Additional Modules

Mini Projects with Hands on Training

Skill Development:

Certification

Master Program in Advanced Python Full Stack Web Development

Python Fundamentals

Module 1: Python Fundamentals: Syntax, Data Types, Control Flow
Module 2: Object-Oriented Programming: Classes, Objects, Inheritance, Polymorphism
Module 3: Functional Programming: Lambdas, Map, Filter, Reduce
Module 4: Python Standard Library: Modules and Packages
Module 5: Data Structures: Lists, Tuples, Dictionaries, Sets, and Frozensets
Module 6: File I/O and Exception Handling

Front-End Development with React

Backend Development with Advanced Python and Flask

Module 16: Advanced Python: Decorators, Generators, Metaclasses
Module 17: Asynchronous Programming: Asyncio
Module 18: Flask Framework: Creating Web Applications
Module 19: RESTful APIs: Design, Implementation
Module 20: PostgreSQL
Module 21: Django Fundamentals
Module 22: Database Integration: Django ORM
Module 23: Testing with Pytest
Module 24: Deployment: CI/CD Pipelines, Cloud Platforms

Full Stack Mini Projects

Additional Modules

Mini Projects with Hands on Training

Skill Development:

Certification

Master program in Advanced Artificial Intelligence and Machine Learning

Introduction to Artificial Intelligence

Module 1: Overview of AI Concepts
Module 2: Types of AI
Module 3: History and Evolution of AI
Module 4: AI Agents
Module 5: AI Algorithms
Module 6: Cognitive AI
Module 7: Statistics for AI

Python Programming for AI

Module 8: Python for AI
Module 9: Python Data Types
Module 10: Lists, Tuples, Dictionaries, Sets
Module 11: Iterators and Generators
Module 12: Control Flow
Module 13: Classes, Objects
Module 14: OOPs in Python
Module 15: Python Modules and Packages
Module 16: File I/O in Python
Module 17: Python Libraries for AI
Module 18: TensorFlow

Data Handling and Preprocessing

Module 19: Data Acquisition
Module 20: Data Cleaning
Module 21: Feature Engineering
Module 22: Handling Missing Data
Module 23: Data Scaling
Module 24: Time Series Analysis

Machine Learning Fundamentals

Module 25: Introduction to Machine Learning
Module 26: Supervised Learning Algorithms
Module 27: Unsupervised Learning Techniques
Module 28: Evaluation Metrics
Module 29: Dimensionality Reduction

Advanced Machine Learning

Deep Learning

Module 35: Introduction to Neural Networks
Module 36: Convolutional Neural Networks (CNNs)
Module 37: Recurrent Neural Networks (RNNs)
Module 38: LSTMs
Module 39: Generative Models
Module 40: Autoencoders
Module 41: Attention Mechanisms
Module 42: Transformer Networks
Module 43: BERT
Module 44: Sequence-to-Sequence Models

Natural Language Processing (NLP)

Module 45: Introduction to NLP
Module 46: Text Preprocessing
Module 47: Word Embeddings
Module 48: Semantic Analysis
Module 49: Chatbots
Module 50: Conversational AI
Module 51: Text Generation
Module 52: Text Summarization

Reinforcement Learning

Module 53: Fundamentals of Reinforcement Learning
Module 54: Markov Decision Processes (MDPs)
Module 55: Q-Learning
Module 56: Deep Q Networks (DQN)
Module 57: Policy Gradient Methods
Module 58: Multi-Agent Reinforcement Learning

Computer Vision

Module 59: Overview of Computer Vision
Module 60: Image Classification with CNNs
Module 61: Object Detection
Module 62: Image Segmentation
Module 63: Generative Adversarial Networks (GANs)
Module 64: Advanced Applications in Vision

AI Ethics and Responsible AI

Additional Modules

Mini Projects with Hands on Training

Skill Development:

Certification

FAKE

Master Program in Cloud Computing with AWS and GCP

Master Program in Advanced Cloud Computing with AWS and GCP

Cloud Computing

AWS Networking

Security and Identity Management

Monitoring and Logging

Scaling and Load Balancing

AWS Services

AWS Containers

Introduction to Google Cloud Platform

Google Cloud Storage

Module 23: Google cloud storage basic operations
Module 24: Bucket, objects and Storage classes
Module 25: Authorization and access control
Module 26: Cloud storage data encryption
Module 27: Cloud storage versioning
Module 28: Cloud storage lifecycle management

Google Compute Engine

Module 29: Basic architecture of GCE and difference between GCE and traditional server
Module 30: Machine type, Firewall rules, Images, Static IP address
Module 31: GCP console for compute engine
Module 32: Autoscaling for VM instances
Module 33: Google cloud SQL

Load balancer and Auto scaling with GCP

Google Cloud Monitoring

Mini Projects with Hands on Training

Skill Development:

Certification

Master Program in Cyber Security

Master Program in Advanced Cyber Security

Introduction to Cyber Security

Network and Networking Security

Module 3: TCP/IP Model & OSI Model
Module 4: Ports,Transmission Media
Module 5: Hubs,Bridges,Switch and Router
Module 6: Common Network attacks
Module 7: Network Scanning Techniques
Module 8: Wireshark
Module 9: firewall concepts and configurations

OS Security

Module 10: Windows and Linux
Module 11: User and group Management
Module 12: Acess controls and permission
Module 13: Malware Analysis
Module 14: Process Explorer and TCP View for Windows
Module 15: Logging and Grep for Linux

Identity and Access Management

Data security

Module 19: what is steganography
Module 20: Alternate data stream in NTFS
Module 21: How attacker hides his data in images and other formats and how to find it
Module 22: Crytography
Module 23: Securing data by EFS and BitLocker

Cryptography and PKI

Web Application Penetration Testing

Mini Projects with Hands on Training

Skill Development:

Certification

Master Program in DevOPS

Master Program in Advanced DevOPS

Introduction to DevOps

DevOps on Cloud

Module 5: Essentials of Cloud computing
Module 6: Cloud and virtualization architecture
Module 7: Cloud deployment architecture
Module 8: Why we need DevOps on Cloud?
Module 9: Introduction to Amazon web services(AWS)

GIT

Jenkins

Module 14: Introduction to Jenkins
Module 15: Essentials of Continuous Integration
Module 16: Jenkins and its architecture in detail
Module 17: Jenkins tool Management in detail
Module 18: User management in Jenkins
Module 19: Authentication and Authorisation
Module 20: Overview of Maven

What is Jenkins Pipeline?
Why Pipeline?
Integration with GIT
How to enable project based authorization for a job
Source code management while creating jobs
Triggering automated build
Maven job setup
Know about post build options for jobs like notifications, trigger another build, publishing reports, etc.

Docker

Kubernetes

Module 30: Introduction to Kubernetes
Module 31: Kubernetes Cluster Architecture — An overview
Module 32: Understanding concepts of Pods, Replica sets, deployments and namespaces
Module 33: Persistent volumes and persistent volume claims —an overview
Module 34: Design of Pods
Module 35: Understanding labels, selectors, jobs, and schedulers

Ansible

Mini Projects with Hands on Training

Skill Development:

Certification

Master Program in Manual Testing and Automation Testing

Master Program in Advanced Manual Testing and Automation Testing

Manual Testing:

Module 1: Manual Testing Introduction
Module 2: Software Development lifecycle and models
Module 3: Methods Of Testing
Module 4: Testing Techniques
Module 5: Software Testing Life Cycle and Implementation of real time projects
Module 6: Use case and Test case design in Project Implementation
Module 7: Test Execution and Result analysis
Module 8: Defect Lifecycle Tracking & Test Closure
Module 9: User Acceptance Testing(UAT)

Automation Testing:

Module 10: Introduction to Automation Testing
Module 11: Core Java for Testing
Module 12: Conditional and Looping statements
Module 13: OOPS Concepts
Module 14: Collections in Java
Module 15: Introduction to Selenium and Selenium Webdriver

Automation Frameworks:

GIT:

Jenkins:

Mini Projects with Hands on Training

Skill Development:

Certification

FAKE

Master program in Advanced Artificial Intelligence and Machine Learning

Introduction to Artificial Intelligence

Module 1: Overview of AI Concepts
Module 2: Types of AI
Module 3: History and Evolution of AI
Module 4: AI Agents
Module 5: AI Algorithms
Module 6: Cognitive AI
Module 7: Statistics for AI

Python Programming for AI

Module 8: Python for AI
Module 9: Python Data Types
Module 10: Lists, Tuples, Dictionaries, Sets
Module 11: Iterators and Generators
Module 12: Control Flow
Module 13: Classes, Objects
Module 14: OOPs in Python
Module 15: Python Modules and Packages
Module 16: File I/O in Python
Module 17: Python Libraries for AI
Module 18: TensorFlow

Data Handling and Preprocessing

Module 19: Data Acquisition
Module 20: Data Cleaning
Module 21: Feature Engineering
Module 22: Handling Missing Data
Module 23: Data Scaling
Module 24: Time Series Analysis

Machine Learning Fundamentals

Module 25: Introduction to Machine Learning
Module 26: Supervised Learning Algorithms
Module 27: Unsupervised Learning Techniques
Module 28: Evaluation Metrics
Module 29: Dimensionality Reduction

Advanced Machine Learning

Deep Learning

Module 35: Introduction to Neural Networks
Module 36: Convolutional Neural Networks (CNNs)
Module 37: Recurrent Neural Networks (RNNs)
Module 38: LSTMs
Module 39: Generative Models
Module 40: Autoencoders
Module 41: Attention Mechanisms
Module 42: Transformer Networks
Module 43: BERT
Module 44: Sequence-to-Sequence Models

Natural Language Processing (NLP)

Module 45: Introduction to NLP
Module 46: Text Preprocessing
Module 47: Word Embeddings
Module 48: Semantic Analysis
Module 49: Chatbots
Module 50: Conversational AI
Module 51: Text Generation
Module 52: Text Summarization

Reinforcement Learning

Module 53: Fundamentals of Reinforcement Learning
Module 54: Markov Decision Processes (MDPs)
Module 55: Q-Learning
Module 56: Deep Q Networks (DQN)
Module 57: Policy Gradient Methods
Module 58: Multi-Agent Reinforcement Learning

Computer Vision

Module 59: Overview of Computer Vision
Module 60: Image Classification with CNNs
Module 61: Object Detection
Module 62: Image Segmentation
Module 63: Generative Adversarial Networks (GANs)
Module 64: Advanced Applications in Vision

AI Ethics and Responsible AI

Additional Modules

Mini Projects with Hands on Training

Skill Development:

Certification

FAKE

Master Program in Advanced Data Science and Data Analytics with Machine Learning

Introduction to Data Science and Analytics

Python for Data Science and Analytics

Module 5: Introduction to Python
Module 6: Data Types and Variables
Module 7: Conditional Statements and Looping Statements
Module 8: Functions
Module 9: Iterators and Generators
Module 10: Class and Objects

Data Manipulation

Data Preprocessing

Statistics

Data Visualization

Exploratory Data Analysis (EDA)

Introduction to Machine Learning

Evaluation Metrics

Supervised Learning

Module 32: Linear Regression
Module 33: Logistic Regression
Module 34: K-Nearest Neighbors
Module 35: Decision Trees
Module 36: Random Forests
Module 37: Polynomial Regression
Module 38: Naïve Bayes

Unsupervised Learning

AutoML – PyCaret

Deep Learning with Practical Examples

Natural Language Processing (NLP)

Module 45: Introduction to Natural Language Processing
Module 46: Key Concepts
Module 47: Text Classification
Module 48: Text Clustering
Module 49: Sentiment Analysis
Module 50: NLP Use Cases

SQL and Database Management

Module 51: Overview of Relational Databases
Module 52: Retrieving Data from Tables
Module 53: Applying Filters and Sorting Data
Module 54: Grouping Data
Module 55: Writing Subqueries
Module 56: Working with DDL and DML Commands
Module 57: NoSQL Databases

Additional Modules

Mini Projects with Hands on Training

Skill Development:

Certification

FAKE

Master Program in Advanced Front-End Development with JavaScript and ReactJS

Module 1: Web Fundamentals

Module 2: Core JavaScript Concepts

Module 3: DOM Manipulation & User Interaction

Module 4: Advanced JavaScript

Module 5: jQuery & AJAX

Module 6: NodeJS for Front-End Developers

Module 7: AngularJS Overview

Module 8: React js

Module 9: Building React Applications

Module 10: React Forms & State Management

Module 11: Advanced React Features

Module 12: Redux for State Management

Module 13: Generative AI

Module 14: Building & Deploying Projects

Mini Projects with Hands on Training

Certification

FAKE

Master Program in Advanced Java Full Stack Web Development

Front-End Development

HTML5 & CSS3 Foundations

Bootstrap Version 5

JavaScript Fundamentals

Advanced JavaScript

TypeScript

Module 17: TypeScript Introduction
Module 18: Types (Primitive Types, Arrays, Tuples, Enums)
Module 19: Interfaces and Type Aliases
Module 20: Classes and Inheritance
Module 21: Functions and Optional Parameters

TypeScript Advanced

Angular Fundamentals

Angular Advanced

Back-End Development

Core Java

Module 32: Data Types and Variables
Module 33: Conditionals and Loops
Module 34: Methods, Classes, and Objects
Module 35: OOP Concepts in Java
Module 36: Collections in Java
Module 37: Streams and Lambda Expressions
Module 38: File Handling in Java

Advanced Java

Spring Framework

Module 44: Setup Environment Using Maven
Module 45: Servlets and JSP
Module 46: Spring Core
Module 47: Spring MVC
Module 48: Spring Boot
Module 49: Spring Data JPA with Hibernate

Spring Security

RESTful Web Services

Microservices Architecture

Deployment in Cloud

Database Development

SQL Fundamentals

Advanced SQL

Database Administration

Additional Modules

Mini Projects with Hands on Training

Skill Development:

Certification

FAKE

Master Program in Advanced Python Full Stack Web Development

Python Fundamentals

Module 1: Python Fundamentals: Syntax, Data Types, Control Flow
Module 2: Object-Oriented Programming: Classes, Objects, Inheritance, Polymorphism
Module 3: Functional Programming: Lambdas, Map, Filter, Reduce
Module 4: Python Standard Library: Modules and Packages
Module 5: Data Structures: Lists, Tuples, Dictionaries, Sets, and Frozensets
Module 6: File I/O and Exception Handling

Front-End Development with React

Backend Development with Advanced Python and Flask

Module 16: Advanced Python: Decorators, Generators, Metaclasses
Module 17: Asynchronous Programming: Asyncio
Module 18: Flask Framework: Creating Web Applications
Module 19: RESTful APIs: Design, Implementation
Module 20: PostgreSQL
Module 21: Django Fundamentals
Module 22: Database Integration: Django ORM
Module 23: Testing with Pytest
Module 24: Deployment: CI/CD Pipelines, Cloud Platforms

Full Stack Mini Projects

Additional Modules

Mini Projects with Hands on Training

Skill Development:

Certification

FAKE

Master Program in Advanced Web Development with GEN AI

Frontend

Module 1: HTML Fundamentals
Module 2: CSS Framework
Module 3: JavaScript Basics
Module 4: JS Forms
Module 5: JS Functions
Module 6: JS HTML DOM
Module 7: JQUERY
Module 8: Strings manipulation

Front end Frameworks

API

Backend

Database

GIT

Integrating With Generative AI

Mini Projects with Hands on Training

Skill Development:

Certification

FAKE

Master Program in Advanced Cloud Computing with AWS and GCP

Cloud Computing

AWS Networking

Security and Identity Management

Monitoring and Logging

Scaling and Load Balancing

AWS Services

AWS Containers

Introduction to Google Cloud Platform

Google Cloud Storage

Module 23: Google cloud storage basic operations
Module 24: Bucket, objects and Storage classes
Module 25: Authorization and access control
Module 26: Cloud storage data encryption
Module 27: Cloud storage versioning
Module 28: Cloud storage lifecycle management

Google Compute Engine

Module 29: Basic architecture of GCE and difference between GCE and traditional server
Module 30: Machine type, Firewall rules, Images, Static IP address
Module 31: GCP console for compute engine
Module 32: Autoscaling for VM instances
Module 33: Google cloud SQL

Load balancer and Auto scaling with GCP

Google Cloud Monitoring

Mini Projects with Hands on Training

Skill Development:

Certification

FAKE

Master Program in Advanced Cyber Security

Introduction to Cyber Security

Network and Networking Security

Module 3: TCP/IP Model & OSI Model
Module 4: Ports,Transmission Media
Module 5: Hubs,Bridges,Switch and Router
Module 6: Common Network attacks
Module 7: Network Scanning Techniques
Module 8: Wireshark
Module 9: firewall concepts and configurations

OS Security

Module 10: Windows and Linux
Module 11: User and group Management
Module 12: Acess controls and permission
Module 13: Malware Analysis
Module 14: Process Explorer and TCP View for Windows
Module 15: Logging and Grep for Linux

Identity and Access Management

Data security

Module 19: what is steganography
Module 20: Alternate data stream in NTFS
Module 21: How attacker hides his data in images and other formats and how to find it
Module 22: Crytography
Module 23: Securing data by EFS and BitLocker

Cryptography and PKI

Web Application Penetration Testing

Mini Projects with Hands on Training

Skill Development:

Certification

FAKE

Master Program in Advanced DevOPS

Introduction to DevOps

DevOps on Cloud

Module 5: Essentials of Cloud computing
Module 6: Cloud and virtualization architecture
Module 7: Cloud deployment architecture
Module 8: Why we need DevOps on Cloud?
Module 9: Introduction to Amazon web services(AWS)

GIT

Jenkins

Module 14: Introduction to Jenkins
Module 15: Essentials of Continuous Integration
Module 16: Jenkins and its architecture in detail
Module 17: Jenkins tool Management in detail
Module 18: User management in Jenkins
Module 19: Authentication and Authorisation
Module 20: Overview of Maven

What is Jenkins Pipeline?
Why Pipeline?
Integration with GIT
How to enable project based authorization for a job
Source code management while creating jobs
Triggering automated build
Maven job setup
Know about post build options for jobs like notifications, trigger another build, publishing reports, etc.

Docker

Kubernetes

Module 30: Introduction to Kubernetes
Module 31: Kubernetes Cluster Architecture — An overview
Module 32: Understanding concepts of Pods, Replica sets, deployments and namespaces
Module 33: Persistent volumes and persistent volume claims —an overview
Module 34: Design of Pods
Module 35: Understanding labels, selectors, jobs, and schedulers

Ansible

Mini Projects with Hands on Training

Skill Development:

Certification

FAKE

Master Program in Advanced Manual Testing and Automation Testing

Manual Testing:

Module 1: Manual Testing Introduction
Module 2: Software Development lifecycle and models
Module 3: Methods Of Testing
Module 4: Testing Techniques
Module 5: Software Testing Life Cycle and Implementation of real time projects
Module 6: Use case and Test case design in Project Implementation
Module 7: Test Execution and Result analysis
Module 8: Defect Lifecycle Tracking & Test Closure
Module 9: User Acceptance Testing(UAT)

Automation Testing:

Module 10: Introduction to Automation Testing
Module 11: Core Java for Testing
Module 12: Conditional and Looping statements
Module 13: OOPS Concepts
Module 14: Collections in Java
Module 15: Introduction to Selenium and Selenium Webdriver

Automation Frameworks:

GIT:

Jenkins:

Mini Projects with Hands on Training

Skill Development:

Certification

Overview Zenjade Automation Technology Private Limited

Zenjade Automation Technology Private Limited is a key player in the software sector, specializing in innovative automation solutions that streamline business processes and enhance operational efficiency. The company focuses on developing cutting-edge software applications that integrate artificial intelligence and machine learning, allowing organizations to automate repetitive tasks and make data-driven decisions. By leveraging advanced technologies, Zenjade aims to transform traditional workflows, reduce human error, and optimize productivity. Their commitment to delivering high-quality software solutions positions them as a leader in the rapidly evolving landscape of automation technology, helping businesses adapt to the demands of the digital age while fostering innovation and growth.

Looking for Best AUTOMATION Training in Chennai?

ZENJADE AUTOMATION TECHNOLOGY PRIVATE LIMITED is No 1 AUTOMATION training in Chennai offering professional training by experts.

Next-Gen Software Technologies: What to Expect?

The future of software technology is set for a transformative evolution that will redefine our digital ecosystems. Central to this advancement is the integration of artificial intelligence (AI) and machine learning (ML), enabling software to autonomously adapt to user requirements and deliver personalized interactions. As enterprises increasingly migrate to cloud architectures, Software as a Service (SaaS) will become the prevailing model, offering exceptional flexibility and scalability. The growing emphasis on DevOps practices will enhance collaboration between development and operations teams, resulting in more efficient software delivery and improved quality. Cybersecurity will be paramount, necessitating the creation of resilient software frameworks equipped with advanced threat detection and mitigation strategies. Additionally, augmented reality (AR) and virtual reality (VR) will revolutionize user engagement, delivering immersive experiences. Ultimately, software technology will act as a catalyst for innovation and enhanced connectivity across diverse industries.

Innovate With ZATPL

Zenjade Automation Technology Private Limited (ZATPL) is a leading software training company in Chennai, renowned for its state-of-the-art infrastructure and innovative labs that facilitate immersive, hands-on learning experiences. We cater to a global clientele, offering tailored training programs across a spectrum of software technologies to meet the distinct aspirations of our candidates at competitive rates. Upholding the philosophy of “practice what you preach,” our training emphasizes practical engagement, allowing candidates to work on real-world projects guided by seasoned software engineering professionals. Our training includes individual one-on-one sessions with technical experts, ensuring personalized instruction that addresses specific learning needs and enhances skill acquisition. This collaborative and interactive environment promotes a deeper understanding of complex concepts, equipping learners with the critical competencies necessary for thriving careers in the software industry. Recognized for our dedication to excellence, ZATPL provides well-structured training programs specifically designed for candidates and working professionals. Classes are available five days a week, with special weekend sessions for added flexibility. Additionally, our fast-track training options are perfect for those seeking to elevate their technical expertise swiftly, ensuring they remain competitive in the rapidly evolving software landscape.

Why Software Training In Chennai At ZENJADE AUTOMATION TECHNOLOGY PRIVATE LIMITED ?

Chennai is a major hub for the software industry in South India and is home to numerous global technology companies. Many organizations are seeking skilled software engineers, especially in fields like software development, cloud computing, and artificial intelligence. However, there is a growing shortage of professionals with the right expertise to meet the evolving demands of the software industry. To address this gap, ZENJADE SOFTWARE TECHNOLOGY PRIVATE LIMITED offers top-tier Software Training in Chennai, led by industry experts. This training is specifically designed to bridge the gap between academic knowledge and the practical skills required in the software industry. ZENJADE SOFTWARE TECHNOLOGY PRIVATE LIMITED provides comprehensive software training, blending theoretical concepts with hands-on practical experience to meet the industry’s needs.

Software Placements in Zenjade Automation Technology Private Limited

Information Technology
Healthcare
Finance
Banking
Retail
E-commerce
Manufacturing
Education
Telecommunication
Transportation
Logistics
Entertainment
Real Estate

Hospitality
Travel
Construction
Automotive
Insurance
Agriculture
Legal Services
Government
Aerospace and Defense
Pharmaceuticals
Mining and Metals
Sports and Fitness
Human Resources

Marketing
Public Relations
Construction
Fashion
Food and Beverage
Telehealth
Insurance
AI
Block chain Technology
Virtual Reality
Cybersecurity
Social Media
Travel and Tourism
Gaming

Software Job Openings

Software Developer
Web Developer
Mobile App Developer
Data Scientist
Data Analyst
DevOps Engineer
UI/UX Designer
Systems Analyst
Cybersecurity Analyst
Cloud Engineer
Game Developer
Business Analyst
Network Engineer
Application Support Analyst
Software Architect
Business Intelligence (BI) Developer
Embedded Systems Engineer
Digital Marketing Specialist
Ethical Hacker/Penetration Tester
Performance Engineer

Robotics Software Engineer
Block chain Developer
Virtual Reality (VR) Developer
Augmented Reality (AR) Developer
Compliance Analyst
AI Research Scientist
Game Designer
Mobile Game Developer
Test Automation Engineer
Cloud Solutions Architect
IOT Solutions Architect
Data Engineer
Social Media Analyst
Machine Learning Engineer
IT Support Technician
Visual Designer
Software Tester
Payment Systems Developer
Chat bot Developer