AI5 ACADEMY PROFESSIONAL CERTIFICATE · A TGC INDIA INITIATIVE · UPDATED AUGUST 2026
AI for Predictive Maintenance and Smart Manufacturing Course
Use equipment data, anomaly detection and industrial AI to predict failures, support maintenance and reduce unplanned downtime.
Online + OfflineWeekdays + WeekendsRegular + Fast Track
22+years in training
20,000+learners across TGC
5classroom locations
Live onlinejoin from anywhere
NEXT START OPTIONS
Choose a live batch.
COURSE OVERVIEW
What this course
is built to do.
Turn equipment, sensor and maintenance data into early-warning signals, work priorities and clear maintenance decisions while tracking false alarms and operating limits.
Each module combines a live trainer demonstration, guided lab, assignment and review before the next stage.
CONNECTED CAREER DIRECTIONS
Predictive Maintenance AnalystIndustrial AI AssociateReliability Data SpecialistSmart Manufacturing Engineer
IS THIS COURSE RIGHT FOR YOU?
Choose it for the right reason.
You work in or want to enter maintenance and reliability engineers
You want training built around professional tasks rather than generic prompts
You need human review, evidence and operating controls alongside AI tools
YOUR LEARNING ARC
From guided foundation to finished work.
Context
Map the work, data, decisions and limits.
Tools
Use the main platforms on guided cases.
Workflow
Join the tools into a repeatable, reviewed process.
Capstone
Present an industry case with evidence and controls.
INDUSTRY TASKS
Practise the work, not only the tool.
- Analyse a realistic case or operating dataset
- Build a repeatable AI-assisted workflow
- Set review, escalation and quality rules
- Present a decision-ready capstone
PRO
LED
LED
YOUR TRAINING TEAM
Learn from experienced working professionals.
Live demonstrations, guided practice and direct project feedback are part of the course. Trainers update examples and tool coverage as professional practice changes.
TRAIN A PROFESSIONAL TEAM
Run this programme around your tools and operating controls.
Private weekday, weekend and fast-track formats are available for organisations.
WHAT YOU WILL BE ABLE TO DO
Course outcomes
01
Prepare equipment data
A documented time-series dataset and health indicators.
02
Evaluate failure warnings
A model report covering lead time and false alarms.
03
Connect alerts to action
A supervised maintenance workflow.
04
Plan plant adoption
A capstone with safety, cost and rollout measures.
TAKE THE NEXT STEP
Need fees, syllabus or the right batch?
An AI5 Academy advisor can help you compare mode, schedule and starting level.
DETAILED COURSE FLOW
5 learning modules
Create an equipment-health workflow that connects sensor data, anomaly detection, maintenance decisions and measured plant outcomes.
Reliability use cases and plant data
Frame failures, assets, data and business impact.
CORE TOPICS
- Failure modes and criticality
- Sensor and maintenance data
- Downtime and cost measures
- Data quality and safety
GUIDED PRACTICE
Define one asset use case and its decision window.
MODULE DELIVERABLE
Predictive-maintenance brief
Condition monitoring and features
Turn time-series signals into interpretable health indicators.
CORE TOPICS
- Time-series cleaning
- Rolling and spectral features
- Operating regimes
- Visual diagnostics
GUIDED PRACTICE
Prepare and visualise a synthetic sensor dataset.
MODULE DELIVERABLE
Asset health dataset
Anomaly and failure prediction
Compare models and select thresholds around operating cost.
CORE TOPICS
- Anomaly detection
- Classification and remaining-life concepts
- Precision, recall and lead time
- Drift and false alarms
GUIDED PRACTICE
Train and compare a warning model across normal and changed conditions.
MODULE DELIVERABLE
Model evaluation report
Maintenance workflow and industrial tools
Move a model output into supervised work planning.
CORE TOPICS
- Senseye and industrial copilots
- CMMS handoff
- Work prioritisation
- Human override and monitoring
GUIDED PRACTICE
Design an alert-to-work-order flow with escalation rules.
MODULE DELIVERABLE
Maintenance operations workflow
Smart manufacturing capstone
Present a tested equipment-health case.
CORE TOPICS
- Asset context
- Model evidence
- Operational action
- ROI and rollout
GUIDED PRACTICE
Defend a deployment plan with failure cases and success measures.
MODULE DELIVERABLE
Industrial AI capstone
HOW THE TRAINING WORKS
Learn it. Apply it. Get it reviewed. Improve it.
Every important skill moves through explanation, demonstration, guided use and independent application. Trainer feedback is used to revise the work before it becomes part of the final portfolio.
Concept briefing
The trainer explains the principle, use case, limitations and the quality standard expected.
Live demonstration
A complete task is demonstrated while the trainer explains decisions, checks and common mistakes.
Guided lab
Learners repeat the method with support, ask questions and correct problems during the session.
Applied assignment
The same method is used on a different brief so the learner must make independent decisions.
Review and revision
Work is checked against a rubric, revised after feedback and prepared for project presentation.
PROGRESS IS CHECKED THROUGHClass exercisesModule deliverablesProject reviewsFinal capstone presentation
PORTFOLIO WORK
Projects you can show
Guided practice brief
Plan, produce, test and present a finished piece with trainer feedback.
Individual application
Plan, produce, test and present a finished piece with trainer feedback.
Workflow build
Plan, produce, test and present a finished piece with trainer feedback.
Industry-style assignment
Plan, produce, test and present a finished piece with trainer feedback.
Quality review
Plan, produce, test and present a finished piece with trainer feedback.
Final capstone
Plan, produce, test and present a finished piece with trainer feedback.
TAKE THE NEXT STEP
Need fees, syllabus or the right batch?
An AI5 Academy advisor can help you compare mode, schedule and starting level.
TOOLS COVERED
Siemens Industrial CopilotSenseyePythonPower BI
Tool coverage may be updated when the industry changes. Core methods remain part of the course.COMMON QUESTIONS
Before you apply
Is this a generic AI course?
No. Examples, projects and review criteria are tied to the named industry workflow.
＋Can a company request a private batch?
Yes. The course can be adapted to approved tools, policies and role levels without using confidential data in open exercises.
＋Do I need coding experience?
No, unless the course level says otherwise. Your advisor will check the right starting level.
＋Are classes live or recorded?
Classes are trainer-led in the classroom or live online.Recordings may support revision but do not replace class.
＋Will I receive a certificate?
Yes. Course completion requires attendance, assignments and the final project.
＋Can working professionals join?
Yes. Weekday, weekend and selected fast-track schedules are available.
＋NEXT BATCH
Choose your course.
Choose your schedule.
Online or offline. Weekdays or weekends. Regular or fast track. Speak with an AI5 Academy advisor about the right starting level.
COURSE PLANNING
AI for Predictive Maintenance and Smart Manufacturing Course: syllabus, projects and admission details
Use equipment data, anomaly detection and industrial AI to predict failures, support maintenance and reduce unplanned downtime.
AI for Predictive Maintenance and Smart Manufacturing Course syllabus
AI foundations, Prompt systems, Practical workflows. Read the full curriculum above for the complete learning sequence.
AI for Predictive Maintenance and Smart Manufacturing Course projects
Guided practice brief; Individual application; Workflow build. Check the project section for the work expected in this program.
AI for Predictive Maintenance and Smart Manufacturing Course eligibility
Entry level: Intermediate. Ask a counsellor to confirm whether your background meets the program prerequisites.
AI for Predictive Maintenance and Smart Manufacturing Course duration
Program duration: 10 weeks. Confirm the next batch timetable before joining.
AI for Predictive Maintenance and Smart Manufacturing Course tools
Siemens Industrial Copilot, Senseye, Python, Power BI. Tool access and any paid accounts should be confirmed for your cohort.
AI for Predictive Maintenance and Smart Manufacturing Course fees and batches
Training mode: Online + Offline. Request current fees, available batches and a suitable schedule.
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