INTRODUCTION
In today’s rapidly evolving digital world, Artificial Intelligence (AI) and business automation are not just buzzwords—they are powerful tools reshaping industries, transforming operations, and unlocking unprecedented levels of productivity. From automating repetitive tasks and enhancing customer service to driving data-driven decisions and improving supply chain performance, AI is becoming a core strategic asset for both private and public organizations.

This course is tailored to help professionals understand the fundamentals and applications of AI and automation in business. Participants will explore intelligent process automation, machine learning, robotic process automation (RPA), chatbots, and real-time data analytics. Practical sessions and case studies will also demonstrate how organizations can streamline workflows, reduce costs, and enhance service delivery.

Whether you’re a tech leader, manager, policymaker, or innovation strategist, this course will empower you to lead digital transformation initiatives and confidently integrate smart technologies into business operations.

By the end of this course, participants will be able to:

• gain foundational knowledge of ai, machine learning, and automation tools;
• identify key business areas suitable for automation and ai adoption;
• develop and manage ai-powered solutions for real-world challenges;
• understand the ethical and governance implications of ai in business;
• explore case studies of successful ai integration across industries; and
• learn how to lead AI innovation in public sector services and enterprise operations.

COURSE CONTENT

Module 1: Foundations of AI and Business Automation

• What is AI? Key concepts: Machine Learning, Deep Learning, NLP
• Introduction to Business Process Automation
• Benefits and challenges of adopting AI technologies
• Overview of AI trends across industries

Module 2: Intelligent Process Automation (IPA)

• Robotic Process Automation (RPA): Tools and use cases
• Automating back-office operations (finance, HR, procurement)
• Workflow optimization through AI
• Integrating AI with existing business systems

Module 3: Data-Driven Decision Making with AI

• Using data to train and validate AI models
• Predictive analytics and real-time decision engines
• AI in performance monitoring and operational efficiency
• Visual dashboards and reporting automation

Module 4: AI Applications in Customer Engagement

• AI-powered chatbots and virtual assistants
• Personalized marketing and customer service using AI
• Voice recognition and sentiment analysis
• Case studies: AI in e-commerce and service delivery

Module 5: Governance, Ethics, and Future Trends in AI

• Responsible AI and ethical frameworks
• Data privacy, security, and algorithm transparency
• Building an AI-ready organizational culture
• Future outlook: AI in public administration and smart cities

WHO SHOULD ATTEND:

• CIOs, CTOs, and Innovation Managers
• Government Policy Makers and Public Sector Reform Leaders
• Process Improvement and Operations Managers
• IT and Data Science Professionals
• Business Analysts and Transformation Officers
• HR, Finance, and Administrative Leaders
• Entrepreneurs and Digital Start-up Founders

What will i learn?

• Gain foundational knowledge of ai, machine learning, and automation tools;
• Identify key business areas suitable for automation and ai adoption;
• Develop and manage ai-powered solutions for real-world challenges;
• Understand the ethical and governance implications of ai in business;
• Explore case studies of successful ai integration across industries; and

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