The objective of this training is to equip students with hands-on skills, real-time project
experience, internship exposure, and placement readiness.
1. PROGRAM OBJECTIVE
The training is designed to:
a) Bridge the gap between academic learning and industry expectations
b) Provide end-to-end project development exposure
c) Improve confidence in coding, software development, research & teamwork
d) Help students build high-quality major/minor projects
e) Support them with internship certificates + placement assistance
f) Make them job-ready for IT/software roles
2. ELIGIBLE STUDENTS
a) B.Tech (CSE, IT, ECE, EE, Mechanical, Civil)
b) BCA / MCA
c) M.Tech (All branches) – including thesis & project guidance

EnnoiaSoftech Pvt. Ltd
SmithNagar, PremNagar,Dehradun
Uttarakhand-248011
Email: info.ennoiasoftech@gmail.com
Contact Us: +917042969057(Whatsup)
Contact Us: +917417876759
Web: www.ennoiasoftech.com

3. PROPOSED PROJECT-BASED TRAINING COURSES
A) Full Stack Development (.NET / MERN / Python Django)
Students complete a full working web or mobile application.
B) Data Science, Machine Learning & AI
Students build ML models, dashboards, forecasting, analytics projects.
C) Cloud Computing & DevOps
Deployment of projects on AWS/Azure with CI/CD pipelines.
D) Cybersecurity & Ethical Hacking
Real-time security analysis, penetration testing labs.
E) Android App Development (Kotlin/Flutter)
Students build fully working mobile apps.
F) IoT & Embedded Systems (Arduino/Raspberry Pi)
Smart IoT device building & automation projects.
G) Digital Marketing (Industry Tools)
Students run live campaigns, analytics, SEO, content creation.
H) Research Paper & Thesis Support (M.Tech)
Advanced guidance for IEEE/Scopus publications.
4. TRAINING METHODOLOGY
a) 70% Hands-On Project Development
b) 30% Concepts + Lab Sessions
c) Daily practice assignments
d) Weekly assessments
e) Industry expert sessions
f) Real working environment exposure
g) Final project submission on GitHub
h) Training + Internship Certificate
5. DURATION & MODE
a) 30, 45, 60, 90, 120, 180 Days (Flexible)
b) Online / Offline / Hybrid
c) Weekend & weekday batches

6. DELIVERABLES TO STUDENTS
a) 1 Major + 2 Minor Live Projects
b) Complete project report + presentation
c) Certificates (Training + Internship)
d) Resume & GitHub portfolio building
e) Mock interviews
f) Technical guidance till placement
7. PROPOSED FEE STRUCTURE (Affordable & Student-Friendly)

Program Duration Fee (Per Student)
Full Stack Development 60–90 Days ₹3500 – ₹5500
Machine Learning / AI/ Data
Science

60–90 Days

₹6000 – ₹8000

Cloud / DevOps 60–90 Days

₹8000 – ₹10000

Cybersecurity 60–90 Days

₹5000 – ₹8000

Android Development 60–90 Days

₹5000 – ₹7000

IoT / Embedded Systems 60–90 Days

₹7000 – ₹10000

Digital Marketing 60–90 Days

₹1500 – ₹2500

M.Tech Thesis Support 3–6 Months

₹10000 – ₹20000
(depending on topic)
Data Analytics 60–90 Days ₹3500 – ₹5500
Certification like C, C++ 30-45 days ₹1500
6 Month Internship with 100%
Placement Guarantee otherwise
refund fees with Security , after
completion of project provide
50k(for top 5 Team)

15000 fees +
10000(Refundable Project
and code Security)

Special Institutional Discounts
✔ Group discount for batches of 50+ students
✔ Completely free 3-day foundation workshop
✔ Free career guidance session
✔ Fee waivers for top 5 meritorious students
✔ Special fee relaxation for economically weaker students
8. WHY THIS PROGRAM WILL MOTIVATE STUDENTS (Key Benefits)
For Students
✔ Real-world project skills
✔ Internship certificate
✔ Employability boost
✔ Job-oriented technology exposure

✔ Direct mentoring by industry experts
For the University
✔ Helps in NAAC, NBA & NIRF compliance
✔ Improves campus placement performance
✔ Builds a strong industry-academia partnership
✔ Enhances student technical output
✔ Adds value for accreditation reports