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Technology Training • Software Development

Software Development Training for Institutions & Organizations

Full stack development taught the way teams work: version control from day one, clean REST APIs, a modern front end, and back ends in Java Spring Boot, Node.js or Python, ending in a deployed application.

What the training covers

Modules are selected and sequenced for each cohort. A short workshop may use one or two; a semester course or corporate program can cover all of them.

  1. Module 1

    Engineering foundations

    The habits every developer needs before frameworks: Git workflows, debugging, code review and writing readable code.

    • Git and pull requests
    • Debugging and logging
    • Code review practice
  2. Module 2

    Java enterprise development

    Building back-end services with Spring Boot, from a first endpoint to a service split into microservices.

    • Spring Boot
    • Microservices
    • Data access and transactions
  3. Module 3

    MERN stack development

    A full JavaScript stack: MongoDB, Express and Node.js on the server and React in the browser.

    • React
    • Node.js and Express
    • MongoDB
  4. Module 4

    Python web ecosystem

    Building web back ends and APIs in Python for teams and students already invested in the language.

    • Python web frameworks
    • Request handling and validation
    • Testing Python services
  5. Module 5

    RESTful API design

    Designing APIs other people can use: resources, status codes, versioning, documentation and error handling.

    • Resource and endpoint design
    • Error handling and status codes
    • API documentation

Who it is for

Colleges & universities

Second- to final-year CSE, IT and MCA students who know one programming language and need to build complete applications for projects and placements.

Technology training for colleges and universities

Organizations & engineering teams

Graduate engineer trainees in onboarding, and developers cross-skilling to a new stack such as Java to MERN or front end to full stack.

Corporate technical training

Prerequisites and lab setup

What learners should know beforehand, and what your lab or IT team needs to have ready. We confirm the final checklist with you before the program starts.

Learner prerequisites

  • Working knowledge of one programming language (loops, functions, basic data structures)
  • Basic HTML and command-line familiarity helps but can be covered in a starter block

Lab and infrastructure

  • One laptop per learner with at least 8 GB RAM and permission to install development tools
  • JDK, Node.js or Python depending on the chosen stack, plus an editor such as VS Code or IntelliJ
  • Git and a GitHub (or internal Git) account per learner
  • Internet access for package installation

How it is delivered

The same software development content can be delivered in different formats, on-site or live online.

Technical workshops

A workshop can deliver one complete small application, such as a REST API with a React front end, in a few days.

About our technical workshops for colleges

Semester training

A semester course can build one product across the term, adding features module by module and ending in a deployed capstone.

About our semester-long training programs

Faculty development (FDP)

Faculty sessions cover current framework practice and how to run project-based labs with Git-based submission and review.

About our faculty development programs

Corporate training

Corporate programs can mirror your stack, repository conventions and code-review standards for onboarding batches.

About our corporate technical training

Software Development Training FAQs

Which stack should our students learn: Java or MERN?

It depends on the employers your students target. Java Spring Boot is common in services and enterprise hiring; MERN suits product and start-up roles. We can recommend based on your recent placement drives.

Will students finish with a project for their resume?

Yes. Programs are built around an application that grows through the modules and lives in each learner's Git repository.

Can the program follow our company's coding standards?

Yes. Share your conventions and review checklist and we use them in labs, so trainees practise the standards they will be held to.

How is progress assessed?

Through code submitted to Git, reviewed against agreed criteria, plus a final project review. We agree the assessment format and reporting in the proposal.

Do you cover data structures and algorithms here?

DSA is covered in our placement training. This program focuses on building applications; the two can be combined for pre-final-year cohorts.

Planning a broader program? See all technology training programs.

Plan Software Development training for your cohort

Share your cohort, current skill level, timeline and lab setup. We will prepare a tailored syllabus and proposal.

Request Software Training