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Monday 9:30am - 6:30pm Tuesday 9:30am - 6:30pm Wednesday 9:30am - 6:30pm Thursday 9:30am - 6:30pm Friday 9:30am - 6:30pm Saturday 9:30am - 6:30pm

Cadmaxx Edtech Pvt Ltd

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Cadmaxx Edtech Pvt Ltd

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Learn, Grow, Thrive | Inspiring Minds | Excellent Course Training & Job Placements | Authorized Training Partners - Dassault Systemes, Siemens, IBM | Get Trained, Certified, Hired! CADMAXX EdTech Pvt Ltd is a leading provider of training services, with over 20 years of experience in delivering industry-specific CAD/CAM/CAE/PLM tool training. Our team of subject matter experts has trained more than 20,000 students across various software and domains, empowering them with the skills they need to succeed in their careers. Strong Partnerships

We have established strong partnerships with:

- 50+ colleges for academic training, ensuring students receive the best possible education
- 250+ national and international companies for corporate training and placements, providing our trained candidates with job opportunities

Authorized Training Partner

We are an authorized training partner for:

- Dassault Systems (CATIA V5)
- Siemens (NX CAD, CAM, CAE, PLM)

Comprehensive Training Solutions

Our expertise and experience make us the go-to choice for comprehensive training solutions. We offer:

- Expert-led training in:
- Embedded Systems
- CATIA V5
- CAD/CAM/CAE/PLM skills
- Job placements and hiring support
- Skill development programs under CSR

Transform Your Career

Whether you're a student, professional, or organization, we have the training solutions to help you upskill and succeed.

12/02/2026

📢 Hiring Alert for Mechanical Engineering Graduates!

Good opportunity for 2023 / 2024 / 2025 pass-out students.

🏢 Company: Ceinsys Tech Limited
💼 Role: Auto Parts Content Creation
🎓 Qualification: BE / Diploma – Mechanical & Automobile
💰 Stipend: ₹19,500 + ₹1,500 DBT
📍 Work Location: Banashankari Stage 2, Bengaluru

🗓 Interview Date: 13 Feb 2026
📍 Venue: CADMAXX EdTech Pvt Ltd, Vijayanagar
📍 Map: https://maps.app.goo.gl/5oB5UFZnZjU2pegs7

🛠 Required Skills:
✔ Engineering Drawing Reading
✔ Technical Communication
✔ Mechanical Component Understanding

👉 Apply Now:
https://forms.gle/dr5zQFvdgeZn6ifBA

11/02/2026

Stop asking “Which language is best?” Start asking “Best for what?”

There is no universal winner in programming.

Only context.
Only purpose.

A developer without direction feels overwhelmed.
A developer with clarity moves fast.

Here’s the simple breakdown:
➡️ Python – Data science & automation
➡️ JavaScript – Web ecosystem
➡️ Java – Enterprise backend
➡️ C # – Applications & services
➡️ C++ – High performance systems
➡️ Swift – iOS development

Each language owns a space.

The real edge?
Understanding the ecosystem behind the language.

Companies hire problem-solvers.
Not syntax memorisers.

So before you start learning: Define your destination.

Because direction multiplies effort.

Code smart. Build relevant. Stay adaptable.

Image credit: Python Coding

09/02/2026

Boiler heat calculation isn’t theory.
It’s fuel, cost, and efficiency.

For any steam boiler, everything starts with one core relation:

➡️ Q = m × (h₂ − h₁)

Where:
➡️ Q = Heat absorbed by water/steam (kJ/hr or kcal/hr)
▶ m = Steam generation rate (kg/hr)
▶ h₂ = Steam enthalpy at outlet (kJ/kg)
▶ h₁ = Feedwater enthalpy at inlet (kJ/kg)

Worked example (industry realistic):
Steam generation = 10,000 kg/hr
Pressure = 10 bar (saturated)
Feedwater temperature = 30°C

Stepwise calculation:
➡️ Steam enthalpy at 10 bar, saturated
h₂ = 2776 kJ/kg
➡️ Feedwater enthalpy at 30°C
h₁ = 125.7 kJ/kg
➡️ Enthalpy rise
(h₂ − h₁) = 2650.3 kJ/kg

Heat required:
➡️ Q = 10,000 × 2650.3
➡️ Q = 26,503,000 kJ/hr

Conversions (when needed):
➡️ In kW → 7361.4 kW
➡️ In kcal/hr → 6,328,000 kcal/hr

Why this matters in real plants:
correct boiler sizing
➡️ accurate fuel estimation
➡️ reliable efficiency calculations
➡️ confident energy audits

Good boilers burn fuel.
Smart engineers calculate first.

Image credit: kamal nayan

07/02/2026

Not all programming languages serve the same purpose

From Software Development to Web Development and Machine Learning, each domain demands a unique tech stack.

🔹 Software Development: C, C++, Java, Python, SQL
🔹 Web Development: HTML, CSS, JavaScript, React, Node.js, Python
🔹 Machine Learning: Python, C++, Java, SQL

Choosing the right language is the first step toward the right career path.
Learn smart. Build strong foundations. Grow with purpose. 🚀

Image credit: Python Programming

05/02/2026

Problems don’t disappear when you fix symptoms.
They come back louder.

That’s where Root Cause Analysis (RCA) changes the game.

Most teams rush to solutions.
Very few pause to ask why it happened in the first place.

Think of RCA like a doctor’s diagnosis.
Painkillers give relief.
Diagnosis gives a cure.

What works in real life:
➡️ asking “why” repeatedly
➡️ mapping cause vs effect
➡️ focusing on the few causes that create most failures

One checklist update.
One missing step fixed.
And suddenly breakdowns drop by 70%.

Smart work beats firefighting.
Every single time.

Image credit: Six Sigma Manufacturing

04/02/2026

DevOps is not about knowing tools.
It’s about connecting systems.

Tools change.
Principles stay.

A solid DevOps skill stack includes:

➡️ Version control and Linux fundamentals
➡️ Cloud infrastructure awareness
➡️ CI/CD pipelines that actually deploy
➡️ Dockerized workloads
➡️ Config management at scale
➡️ Kubernetes orchestration logic
➡️ Terraform-driven infrastructure
➡️ Python automation
➡️ Cloud-native pipelines
➡️ Hands-on labs and project builds
➡️ Interview prep using real scenarios

Every stage answers a real operational problem.
Every stage removes manual effort.
Every stage improves reliability.

Strong DevOps engineers:
• reduce failure rates
• shorten release cycles
• automate repetitive work
• design resilient systems

Build depth before speed.
Practice before credentials.
Projects before promises.

That’s how DevOps careers compound.

Image credit: Python Programming

02/02/2026

Cooling Tower Capacity-quick engineering check.

Data:
• Flow = 200 m³/hr
• Temperature drop = 6°C

Using standard HVAC conversion:
➡️ TR = (Q × 1000 × ΔT) / 3900
➡️ Capacity = ~307.7 TR

If you’re getting ~396 TR:
• Units are mismatched
A small unit mistake can shift results by 90+ TR.

Why the confusion happens:
• Wrong flow unit assumption
• Mixing m³/hr with LPH logic
• Skipping standard TR constant
• Conversion constant is off
• Flow basis is misread

Cooling towers don’t lie.
Numbers do, when units aren’t respected.

Engineering discipline begins with fundamentals.

Image credit: kamal nayan

31/01/2026

It’s 2026.
Typing more code is no longer a flex.

Most developers still measure productivity by:
➡️ hours spent
➡️ lines written
➡️ coffee consumed

Meanwhile, high-performing devs focus on flow.

VS Code shortcuts change the game:

➡️ faster navigation
➡️ cleaner edits
➡️ fewer context switches

Small habits compound. Keystrokes saved today become focus gained tomorrow.

Productivity grows when tools disappear and thinking takes the lead.

Code smarter.
Let the editor work with you.

Image credit: Python Programming

29/01/2026

Everyone wants AI results.
Few want to understand the layers that make it work.

Not all AI skills live at the same altitude.
Some work at the surface.
Some train the system.
Some design the thinking itself.

That’s the quiet truth behind modern AI.

Machine Learning shapes patterns.
Neural Networks mimic cognition.
Deep Learning scales intelligence.
Generative AI turns understanding into creation.

Each layer solves a different problem.
Each demands a different mindset.

The professionals who grow fastest?
They know where they stand, and what layer to climb next.

AI careers aren’t linear.
They’re layered.

Image credit: Python Programming

28/01/2026

Quality never fails suddenly.
It gives signals. Every single day.

🟢 Green means systems are calm.
🟡 Yellow whispers caution.
🟠 Orange asks for attention.
🔴 Red demands action.
⚫ Black questions culture.
⚪ White calls for a reset.

Most teams don’t fail at 🔴 Red.
They ignore 🟡 Yellow and normalize 🟠 Orange.

Real quality maturity looks like:
➡️ reading early signals
➡️ fixing systems, not blaming people
➡️ building habits, not heroics

Pay attention to the flags.
They tell the story before damage does.

Image credit: Six Sigma Manufacturing

Address

2095, 1st Floor, 5th Main, 9th Cross, RPC Layout
Vijayanagar
560104

Opening Hours

Monday	9:30am - 6:30pm
Tuesday	9:30am - 6:30pm
Wednesday	9:30am - 6:30pm
Thursday	9:30am - 6:30pm
Friday	9:30am - 6:30pm
Saturday	9:30am - 6:30pm

Telephone

+919739866621

Website

http://www.cadmaxxedtech.com/

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