AI-Enhanced Production Manager
Apply AI thoughtfully to everyday management decisions and workflows.
This course equips production managers to use artificial intelligence to improve production planning, throughput, quality, resource coordination and decision preparation. It connects practical AI use with lean thinking, safe operations and disciplined performance management.
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What you’ll work towards
Identify suitable AI uses within production management.
Support production planning, sequencing and capacity analysis.
Analyse downtime, defects, waste and constraints more efficiently.
Improve work instructions, shift handovers and production reporting.
Use AI-assisted scenarios to support labour and material decisions.
Evaluate predictive and automated solutions before investment.
Who is this course for?
- Production Managers; Manufacturing Managers; Plant Managers; Shift Managers; Production Supervisors; Industrial and Process Improvement professionals; Quality Managers; and operations leaders responsible for output and efficiency.
Before you join
No programming experience is required. Discuss any role-specific preparation with our team.
Course participation, passing an assessment and gaining a professional credential may have different requirements.
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Contact our team in Ikeja, Lagos to discuss your course choice, group requirements and the next steps.
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Your course outline
Course overview
This course equips production managers to use artificial intelligence to improve production planning, throughput, quality, resource coordination and decision preparation. It connects practical AI use with lean thinking, safe operations and disciplined performance management.
Participants learn how to evaluate data and recommendations, involve frontline expertise and retain accountability for production decisions. No programming experience is required.
Full learning objectives
- Identify suitable AI uses within production management.
- Support production planning, sequencing and capacity analysis.
- Analyse downtime, defects, waste and constraints more efficiently.
- Improve work instructions, shift handovers and production reporting.
- Use AI-assisted scenarios to support labour and material decisions.
- Evaluate predictive and automated solutions before investment.
- Apply safety, quality, security and governance controls.
- Build a practical production AI improvement plan.
Explore the modules
Module 1: AI Fundamentals in Production
Relevant AI capabilities, limitations, data needs and the production manager's role in oversight and safe adoption.
Module 2: Production Planning and Scheduling
Using AI assistance to compare demand, capacity, sequence, labour and material scenarios while validating constraints.
Module 3: Process Flow Throughput and Bottlenecks
Mapping production flow, analysing cycle time and work in progress, and testing improvement hypotheses.
Module 4: Quality Defects and Waste Reduction
Categorising defects, examining patterns, supporting root-cause analysis and drafting corrective actions for expert review.
Module 5: Workforce Instructions and Shift Management
Improving standard work, skills matrices, shift briefs, handovers and training materials with frontline validation.
Module 6: Production Data KPIs and Decision Support
Interpreting output, downtime, yield and efficiency measures; checking data integrity and communicating performance clearly.
Module 7: Predictive Systems Safety and Governance
Evaluating predictive quality and maintenance tools; addressing safety, cybersecurity, integration, supplier and accountability risks.
Module 8: Pilot Design and Scaled Improvement
Choosing a production use case, setting a baseline, assigning owners, managing change and reviewing measurable results.
Training methodology
The course uses facilitator-led learning, demonstrations, production case studies, process exercises and improvement workshops.
Participants work with fictional or authorised production data to assess schedules, investigate losses and prepare improvement actions. All recommendations are tested against safety, quality and operating requirements.
The course concludes with a production AI pilot charter covering the problem, baseline, intervention, safeguards, responsibilities and success measures.
Want to see the teaching materials?
Ask whether a sample lesson or workbook is available for this course. The outline above shows the published content; it is not a sample of the paid teaching materials.
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What is the full fee, and what does it include?
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How will I be assessed, and which certificate can I receive?
Assessment and award requirements depend on the course and awarding body. Ask for the exact assessment format, pass requirements, credential title and verification method. Training completion does not automatically confer professional certification or certify your organisation.
What support and learning access are included?
Confirm tutor support, learning-material access period, recordings if offered, technology requirements and teaching language for your chosen option before booking.
Can I cancel, transfer or change the intake?
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What happens after I send an enquiry?
Your course choice and any preferences you provide are sent to DU&T. Discuss suitability and request confirmed dates, fees and terms. An enquiry is not an enrolment, reservation or payment.
Let’s plan your learning.
AI-Enhanced Production Manager
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