Programme · D-09 · Authorised Pearson Partner

AI for Manufacturing

AI is moving from labs to factory floors. This programme teaches how computer vision, predictive models and optimisation algorithms are applied in real manufacturing environments.

5–6 mo
Duration
Graduate
Entry level
On-campus
Format
Pearson
Standard
Industry overview

About this field

Artificial intelligence in manufacturing is not about ChatGPT — it's about machine vision for defect detection, predictive models for tool wear, and optimisation algorithms for scheduling. This programme bridges the gap between AI fundamentals and practical factory deployment, teaching you to collect manufacturing data, build models and deploy them on edge devices for real-time decisions.

Career pathways

Roles you'll be ready for

AI / Vision TechnicianSets up and calibrates camera systems, trains defect classifiers and maintains vision inspection stations.
Data Collection EngineerInstalls sensors, configures data loggers and pipelines that feed manufacturing data to AI models.
Edge AI Deployment EngineerDeploys trained models on edge devices, optimises inference speed and manages model updates.
Process Optimisation AnalystAnalyses manufacturing data to identify bottlenecks, predict failures and recommend parameter changes.
Skills you'll build

What you'll be able to do

01Machine vision for defect detection02Image preprocessing and classification03Predictive maintenance modelling04Data collection from shop-floor sensors05Edge AI deployment (NVIDIA Jetson, Raspberry Pi)06Python for data analysis and model training07Time-series analysis for process data08Basic MLOps and model versioning
Hands-on projects

Real builds, not slideware

PRJ-01
Surface Defect Detector

Build a machine vision system that detects scratches, dents and discolouration on metal parts using OpenCV and a trained classifier.

PRJ-02
Tool Wear Predictor

Collect vibration and current data from a CNC spindle, train a regression model and deploy it on a Raspberry Pi for real-time tool wear prediction.

PRJ-03
Production Scheduler Optimiser

Write a Python optimiser that schedules five jobs across three machines to minimise total makespan using greedy and genetic algorithms.

Equipment & software

You'll work on the real thing

Equipment

Industrial cameras (area scan)NVIDIA Jetson boardsRaspberry Pi unitsMotor test rigs with sensorsEdge computing gateways

Software

Python (OpenCV, TensorFlow Lite)Grafana for dashboardsJupyter notebooksEdge AI deployment tools

* Specific brands and software listed per actual lab inventory.

Certification

Recognised, competency-based

Finish the programme and you get a Veritas by IQgrads certification, with your learning aligned to Pearson's internationally recognised standards — real proof of what you can do.

* Confirm exact certification and Pearson wording before publishing.

Fees & payment

Pay half now — the rest when it pays off

PDelivered to globally recognised Pearson standards
Total programme fee*₹1,50,000
Stage 1 · 50%
₹75,000
At enrolment

Paid upfront to secure your place.

Stage 2 · 50%
₹75,000
On offer or certification

Paid upon job offer or certification completion.

* Illustrative. Scholarships and financing available — confirm exact fees in your consultation.

After Veritas · study abroad

A springboard to a Master's degree in Europe

For a lot of people, Veritas is just step one. The hands-on, globally-recognised experience makes your profile stronger if you want to study abroad later — and these happen to be the exact skills European employers are short on.

Primary pathway
A Master's degree abroad — Europe in focus

Automation, robotics, semiconductors, EV, Industry 4.0 — these skills are in real demand across Europe right now.

GermanyNetherlandsIrelandNordicsWider EU
ALSO
Global-standard foundation

Pearson-aligned learning that complements an international application.*

ALSO
Stack a specialisation

Add advanced tracks before applying abroad.

ALSO
Professional certifications

Industry certifications that travel internationally.

* Study-abroad outcomes depend on admissions, language, funding and visas, which Veritas does not control. Confirm guidance and any partnerships, and verify demand claims, before publishing.

Hiring industries

Who hires for these skills

AutomotiveElectronicsPharmaceuticalsFood processingTextilesMetal fabricationSystem integrators

Indicative sectors hiring for these skills — verify before publishing.

Authorised Pearson Partner
Programme · D-09

AI for Manufacturing

Duration5–6 mo
Entry levelGraduate
FormatOn-campus
StandardPearson
Apply now

Free consultation first — no commitment to apply.

Indicative salaries

Entry (0–2 yr)₹4–7 LPA
Mid (3–5 yr)₹8–14 LPA
Senior (5+ yr)₹16–28 LPA

Indicative — verify before publishing.

Ready to start?

AI for Manufacturing — book a free consultation.

Talk to a counsellor about whether this programme is right for you.

Authorised Pearson PartnerFrom classroom to career — book a free consultation
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