Online Courses for MCA Grads Seeking High-Paying Jobs

Can someone with a Master of Computer Applications (MCA) degree have a successful career? You can, indeed. Have you started thinking about what you might do after MCA at this point? Will you advance as your experience grows in your industry? In fact, you will. What can I do to make myself stand out from the crowd? Yes. Consider this question right now. Have you thought about taking online courses after your MCA? After completing a BCA or a degree in a comparable discipline, you can enrol in a 2-year postgraduate MCA programme.

For those looking to pursue a profession after receiving an MCA, online learning has opened up a world of opportunities by allowing them to advance their skills online and assisting them in becoming software developers. These courses introduce you to a variety of cutting-edge technology and techniques, opening up opportunities for some of the top employment prospects after MCA.

1. Applied Data Science

One of Coursera's top MCA-level online courses is this one. You can improve your abilities for a lucrative future in data science with the aid of this course. Python will be used in the data analysis process. You will also learn how to programme in Python and become skilled at data analysis, data visualisation, and virtualization. Additionally, you will practise model selection and predictive modelling while learning how to use tools like NumPy and Pandas.

Offered by: IBM via Coursera

Duration: 6 months

Topics covered

Python for Data Science, AI & Development Python

Project for Data Science

Data Analysis with Python

Data Visualization with Python

Applied Data Science Capstone

Requirements: You don't need to have any prior programming or data science experience. But it's beneficial to have a basic understanding of data science. By enrolling in the IBM Introduction to Data Science Specialisation, you can learn this. If you take a course after earning your MCA, this will undoubtedly help you receive a better wage.

2. Making Apps on the Google Cloud Platform

Many aspirants wonder which course to take after their MCA, and one of the best online MCA courses is this one, which covers developing cloud-native applications, managing federated identities with Firebase Authentication, and deploying apps with Container Builder, Container Registry, and Deployment Manager. This course is therefore a good investment.

Offered by: Google Cloud

Duration: 4 weeks

Topics covered

Google Cloud Platform Fundamentals: Core Infrastructure

Getting Started with Application Development

Securing and Integrating Components of your application

App Deployment, Debugging, and Performance

Cloud Computing

Google Compute Engine, Google App Engine

Application Programming Interface

Requirements: No prior programming or data science knowledge is necessary to enrol in a course after earning an MCA. However, while deciding which degree to take following an MCA, it is beneficial to have some fundamental understanding of data science.

3. Applied Data Science using Python

Obtain analytical skills, apply data science methodologies and procedures, and gain fresh insights into your data. This top course after mca is also accessible on Coursera. If you are eligible for the greatest post-MCA employment alternatives, you might be able to find one through this course. You will master Matplotlib, NumPy, Pandas, Scikit Learn, Natural Language Toolkit, Python Programming, Text Mining, and Machine Learning Algorithms.

Offered by: University of Michigan via Coursera

Duration: 5 months

Topics covered

Introduction to Data Science;

Python Applied Plotting, Charting, and Data Representation in Python

Applied Machine Learning in Python

Applied Text Mining in Python

Applied Social Network Analysis in Python

Requirements: Basic knowledge of Python or programming

4. DevOps Certification Training

Did you know that the DevOps market is anticipated to increase from $3.42 billion in 2018 to $10.31 billion in 2023? You are now considering how you can benefit from this. One of the greatest courses available in India following an MCA will help you become a highly sought-after professional. After the MCA, Edureka offers one of the best online courses. A solid foundation in various DevOps tools, including Docker, Ansible, Git, Grafana, Jenkins, Terraform, Prometheus, and Kubernetes, is provided through this course. With continuous development, continuous integration, configuration management, continuous testing, and continuous monitoring of the apps throughout their development life cycle, you can become a qualified DevOps practitioner.

Offered by: Edureka

Duration: self-paced

Topics covered

Overview of DevOps

Version Control with Git

Git, Jenkins & Maven Integration

Continuous Integration using Jenkins

Configuration Management Using Ansible

Containerization using Docker

Orchestration using Kubernetes

Monitoring using Prometheus and Grafana

Provisioning using Terraform

Selenium (Self-Paced)

Nagios (Self-Paced)

DevOps on Cloud (Self-Paced)

AWS EC2 and IAM (Self-Paced)

Requirements: Any scripting language knowledge and Linux Fundamentals

5. IBM Professional Certificate in Machine Learning

Both now and in the future, machine learning expertise will be in demand. According to a LinkedIn survey, hiring in this industry has increased 74% yearly over the previous four years (LinkedIn). Its reputation as one of the greatest online specialisation courses after MCA comes from the fact that it was developed by IBM, one of the oldest and most well-known providers of IT solutions worldwide.

You become familiar with the four primary categories of machine learning: supervised, deep, reinforcement, and unsupervised learning. Additionally, it adds particular areas to your education, like time series analysis and survival analysis. You receive a thorough analysis, which is followed by practice with the key machine learning algorithms, applications, and best practices. Following learning from any top course following an MCA, you will put your new skills to use and code your own projects.

Offered by: IBM

Duration: 6 months

Topics covered

Specialised Models: Time Series and Survival Analysis

Deep Learning and Reinforcement Learning

Unsupervised Machine Learning

Supervised Machine Learning: Classification

Supervised Machine Learning: Regression

Requirements: Basic statistics and mathematics knowledge at the college level and familiarity with Python programming.