Dhanush Technologies · Campus learning
Bring practical technology training to your college. Choose a one-month course, learn through guided labs and turn classroom concepts into a project students can explain and demonstrate.
On-campus training · Weekly milestones · Project demonstrations
Choose your next skill
Explore modern AI and cloud topics alongside programming, data, design and digital skills. Each course is a separate four-week track; check the prerequisites before choosing a batch.
12 of 12 courses · One month per course
Beginner · 4 weeks
Learn programming fundamentals and build a useful tool that cleans files, validates records and generates reports.
College event registration report generator
Intermediate · 4 weeks
Explore language models, prompting and document retrieval, then build a small assistant that shows its sources and handles unanswered questions.
Campus handbook assistant
Intermediate · 4 weeks
Turn existing HTML, CSS and JavaScript knowledge into an accessible, responsive React application with practical user flows.
Campus events explorer
Beginner · 4 weeks
Clean a small dataset, answer questions with SQL and create an interactive Power BI report with clearly explained findings.
College workshop participation dashboard
Beginner · 4 weeks
Learn core cloud concepts and practise identity, storage, compute and monitoring through a small supervised cloud lab.
Serverless workshop file summary
Intermediate · 4 weeks
Learn a small team delivery workflow: version control, containers, automated checks and a repeatable local release.
Repeatable release for a campus app
Beginner · 4 weeks
Understand common web risks, investigate instructor-selected examples in a local lab and write clear remediation reports.
Local training-app security review
Intermediate · 4 weeks
Use existing Java knowledge to build and test a small REST API with validation, persistence and useful error responses.
Library lending API prototype
Intermediate · 4 weeks
Create a small Flutter application with reusable widgets, navigation, forms and local data, then demonstrate a complete user journey.
Student study planner
Beginner · 4 weeks
Turn a student problem into a tested interactive prototype, with a clear user flow, reusable components and an evidence-based case study.
Campus club sign-up experience
Beginner · 4 weeks
Learn how sensors and microcontrollers work together, then build and test a simulated monitoring system before considering physical hardware.
Simulated classroom environment monitor
Beginner · 4 weeks
Plan useful content, improve a practice website for search and turn sample analytics into a measurable campaign proposal.
College workshop discovery campaign
Designed around your classroom
Review student skills, select one course and check the lab setup. Agree the timetable, project scope and assessment expectations with the college coordinator.
10 minutes of recap, 25 minutes of concepts, a 20-minute demo, 55 minutes of guided lab and 10 minutes of review. Add one hour of independent practice after class.
Students submit their project, documentation and a short demonstration. Lab reviews, weekly checkpoints and an individual explanation help assess understanding.
One month is enough for a focused introduction and a scoped project. Advanced mastery and job readiness require continued study. A working laptop or college lab, reliable internet and a faculty coordinator help the batch run smoothly.
Good to know
Choose one course track per batch. Each track runs for four weeks across 20 teaching days, with two guided hours and one practice hour per day: 40 guided hours plus 20 hours of student practice. The final week focuses on a small capstone and demonstration.
Python, UI/UX design, digital marketing and cloud foundations are useful starting options. Data analytics suits students comfortable with spreadsheets. React, Java backend, Flutter, DevOps and Generative AI require the prior knowledge listed on each course page.
These programmes are designed for college classrooms and labs. Share the student branch, year, batch size, preferred dates and available computers so that the syllabus, trainer requirements and delivery arrangements can be agreed.
Plan for a computer for each student or pair, a projector, stable internet and time for daily practice. Some tracks need specific preparation: Windows computers for Power BI, a managed sandbox for AWS, tested model access for AI, or Docker-capable machines for DevOps and security labs.
Students work towards weekly lab submissions and one small project with documentation and an individual demonstration. Outcomes depend on their starting knowledge, attendance and practice. Four weeks provides a practical foundation for continued learning.
Most core exercises use local tools, demo data or browser simulations. Cloud sandboxes, model inference, software licences and any physical hardware must be checked when planning the batch. No student should need an unplanned purchase or personal cloud billing account to attend.
The suggested rubric allocates 30% to weekly labs, 15% to short knowledge checks, 35% to the capstone, 10% to documentation and 10% to an individual explanation. Trainers use the final demo to check that every student understands their contribution.
For departments & placement cells
Share your students’ background, preferred course and dates. We’ll help shape a one-month batch around your college’s timetable and lab facilities.
Batch size, delivery arrangements, fees and any completion certificate requirements are agreed with your college before enrolment.
