AI and Robotics in Operations Management

Course Overview

• Understand the role of AI and robotics in modern operations and supply chain management
• Equip managers with skills to integrate intelligent technologies for efficiency and productivity
• Enhance decision-making through data-driven insights and automation
• Develop strategies to optimize processes, reduce costs, and improve quality using AI and robotics

Training Format:In-class, Virtual, In-house

Location:Lagos, Accra, Nairobi, Kigali

Language:English, French

Nigeria Price:
₦330000

Int'l., (Nigeria) Price:
$1000

Ghana Price:
$4000

Kenya Price:
$5500

Rwanda Price:
$6000

Nigeria Price:₦330000

Int'l., (Nigeria) Price:
$1000

Ghana Price:
$4000

Kenya Price:
$4000

Rwanda Price:
$4000

Nigeria Price: ₦330000

Int'l., (Nigeria) Price:
$1000

Ghana Price: $4000

Kenya Price: $4000

Rwanda Price: $4000

Introduction to AI and Robotics in Operations

• Overview of AI, robotics, and automation technologies
• Evolution of operations management in the digital age
• Benefits and challenges of adopting AI and robotics
• Emerging trends shaping the future of operations

AI-Driven Decision Making in Operations

• Using AI for predictive analytics, demand forecasting, and inventory management
• Optimizing production schedules and supply chain decisions
• Enhancing quality control and operational efficiency with AI
• Real-world case studies of AI-powered operational strategies

Robotics in Operations and Process Automation

• Types of robotics in manufacturing and services
• Robotic process automation (RPA) in operational workflows
• Collaborative robots (cobots) and human-robot interaction
• Improving safety, accuracy, and throughput with robotics

Integration of AI and Robotics

• Combining AI algorithms with robotic systems for intelligent operations
• Digital twins, simulation, and process optimization
• Workflow automation and real-time operational monitoring
• Best practices for successful implementation

Managing Technology-Enabled Teams

• Leading teams in AI and robotics-enabled environments
• Upskilling staff for advanced technology adoption
• Change management strategies for operational transformation
• Building a culture of continuous improvement and innovation

Ethics, Risk, and Governance

• Ethical considerations in AI and robotics deployment
• Data security, privacy, and compliance in operations
• Risk management and mitigation strategies
• Developing governance frameworks for responsible technology use

1ST BATCH: Tuesday, February 17, 2026 — Friday, February 20, 2026.

2ND BATCH: Tuesday, June 9, 2026 — Friday, June 12, 2026.

3RD BATCH: Tuesday, October 6, 2026 — Friday, October 9, 2026.

The training methodology integrates lectures, interactive discussions, collaborative group exercises, and
illustrative examples. Participants will acquire a blend of theoretical insights and hands-on practical
experience, emphasizing the application of learned techniques. This approach ensures that attendees return
to their professional environments equipped with both the competence and self-assurance to effectively
implement the acquired skills in their responsibilities.

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