1
Fundamentals of AI in Manufacturing
Learn how AI, ML, and DL application can be used and benefit the manufacturing industry.
Learning Outcomes
2
Applications Across Manufacturing Processes
Study AI use cases across predictive maintenance, quality control, supply chain, robotics/automation, and digital twins.
3
Evaluating AI Factory Solutions
Evaluate data readiness (MES/SCADA/PLC/ERP/IIoT), architecture (edge vs cloud), and system integration for factory AI.
4
Practical AI Implementation
Apply AI methods to reduce downtime, improve yield and throughput, optimize inventories and logistics, and enhance safety.
5
Ethics, Law & Security
Recognize workforce, governance, privacy, safety, and cybersecurity considerations for AI in Indian and global manufacturing contexts.
6
Insights from Real-World Cases
Interpret real-world case studies to understand adoption challenges, ROI, and scaling patterns for AI in manufacturing.
Program structure
Lesson Plan
5 modules • 51hours total length
Module 1: Overview of AI in Manufacturing
Module 1: Overview of AI in Manufacturing
What you'll learn
- Defining AI, ML, and DL in the manufacturing context
- Tracing the evolution from Industry 3.0 to Industry 5.0
- Analyzing manufacturing data systems (MES, SCADA, PLC, ERP, IIoT)
- Comparing edge vs cloud AI for factory deployments
- Applying AI techniques like computer vision and time-series analytics
- Evaluating risks, KPIs, and governance for manufacturing AI
Skills you'll gain
AI FundamentalsIndustry 4.0Manufacturing DataEdge AIComputer VisionTime-Series AnalyticsAI Governance
Module 2: Predictive Maintenance & Quality Control
Module 2: Predictive Maintenance & Quality Control
What you'll learn
- Differentiating reactive, preventive, and predictive maintenance strategies
- Applying FMEA and criticality analysis for PdM programs
- Selecting sensors and process signals for industrial AI modeling
- Building predictive models for RUL and anomaly detection
- Applying computer vision for automated defect inspection
- Integrating AI into SPC, QA, and compliance frameworks
Skills you'll gain
Predictive MaintenanceSensor Analytics RUL ModelingComputer Vision QCSPC IntegrationProcess CapabilityCompliance Validation
Module 3: Supply Chain Optimization
Module 3: Supply Chain Optimization
What you'll learn
- Applying ML for demand forecasting and S&OP optimization
- Optimizing inventory, procurement, and supplier risk management
- Using AI for scheduling, routing, and logistics planning
- Designing AI-enabled warehouse automation and robotics workflows
- Analyzing BOM changes, cost fluctuations, and resilience scenarios
- Integrating sustainability and carbon-aware planning into supply chains
Skills you'll gain
ForecastingInventory OptimizationSupplier AnalyticsLogistics AIWarehouse AutomationScenario PlanningSustainable Supply Chains
Module 4: Robotics, Automation & Digital Twins
Module 4: Robotics, Automation & Digital Twins
What you'll learn
- Comparing industrial robots, cobots, AGVs, and AMRs in manufacturing
- Applying safety standards and risk assessments for robotics
- Implementing vision-guided robotics, kinematics, and path planning
- Applying reinforcement learning for robotics control and navigation
- Building and managing digital twins for assets, processes, and systems
- Using simulation and virtual commissioning for lifecycle management
Skills you'll gain
Robotics AutomationCobots & AMRsVision-Guided RoboticsPath PlanningReinforcement LearningDigital TwinsSimulation & Testing
Module 5: Workforce Transformation & Safety
Module 5: Workforce Transformation & Safety
What you'll learn
- Defining skill pathways for AI-enabled plants and workforce upskilling
- Applying change management strategies for digital adoption
- Using AI for ergonomics, PPE detection, and fatigue monitoring
- Predicting safety risks with analytics and near-miss detection
- Addressing ethics, privacy, and worker consent in AI deployments
- Strengthening OT cybersecurity and plant AI governance
Skills you'll gain
Workforce TransformationErgonomics AnalyticsPPE DetectionSafety AnalyticsPrivacy & EthicsOT SecurityAI Governance
