Artificial Intelligence For Managers

Focus

This training program is designed to provide managers and leaders, in business and education, with the knowledge and skills needed to understand, leverage, and strategically implement artificial intelligence (AI) technologies within their organizations. The program is designed to be accessible to those without a technical background, focusing on the managerial and strategic aspects of AI rather than the technical intricacies. 

Skills & Competencies

By the end of course, you will have a comprehensive understanding of AI, the practical skills for AI implementation, and insights from real-world case studies. You will leave the course prepared to leverage AI technologies to drive innovation and efficiency in your field.

Methodology

The program incorporates an engaging mix of comprehensive lectures, thorough assessments, tangible practical examples, and detailed case studies to equip participants with a robust mastery over the foundational principles and applications of AI, and end-of-course project.

Learning Objectives

Upon successful completion of this workshop, participants will have achieved a high level of proficiency that enables them to:

1. 1. 1. Demonstrate an understanding of the fundamentals of AI and its potential applications within their specific industry.
      2. Identify and evaluate AI technologies and tools applicable to business and education.
      3. Formulate an AI strategy aligned with organizational objectives and market trends.
      4. Navigate the ethical and regulatory landscape of AI, ensuring responsible AI practices.
      5. Plan, execute, and monitor AI projects to achieve desired outcomes and ROI.
      6. Assess the business impact of AI projects through performance metrics and KPIs.
      7. Implement change management strategies to foster AI adoption and organizational readiness.
      8. Leverage case studies to gain insights into successful AI applications and best practices.

What You Will Learn

1. 1. 1. The principles of AI, including deep learning, and Generative AI.
      2. Key AI technologies and tools such as TensorFlow, and PyTorch.
      3. Business: Identify opportunities for AI integration in business, and implement AI strategies to improve decision-making, efficiency, and reduce operational cost.
      4. Education: Integrate AI to enhance teaching and student learning, administrative efficiency, governance, institutional effectiveness, and accreditation.

Duration and Mode of Delivery

The workshop extends over a period of 5 days, featuring 3 hours each day of intensive, interactive learning sessions. It is designed to be accessible and convenient for all by offering both online and in-person attendance options. Participants will be recognized with 15 PDUs (Professional Development Units) for their commitment to professional growth upon completion of the program.

Course Contents

1. 1. 1. Day 1: Introduction to AI.
      2. Day 2: AI Technologies and Tools.
      3. Day 3: AI in Business.
      4. Day 4: AI in Education.
      5. Day: Developing an AI Strategy.

Case Studies

The course will include case studies in business and education, some of which are:

Business

1. 1. 1. Analyze customer behavior and preferences to offer personalized product recommendations.
      2. Optimize inventory management, predict product demand and reduce excess stock.
      3. Supply chain optimization.

Education

1. 1. 1. Analyzing student performance data and feedback to inform curriculum development and improvement.
      2. Improving student engagement and performances.
      3. Reducing achievement gaps among different student demographics.
      4. predict student attendance patterns and identify students at risk of chronic absenteeism.

Who Should Attend

Business leaders, managers, and decision-makers across various industries who are looking to integrate AI into their business practices.

Profile of the Trainer

1. More than 20 years of AI teaching and research experience in Higer Education.
2. More than seven years of experience in managing QA&IE, IRP, assessment of learning outcomes, and accreditation in Higher Education.
3. In-Depth experience in developing QA&IE framework, KPIs, strategic planning, and organizational policies.
4. Extensive experience in AI, statistics, survey design, data visualization, analysis, and interpretation.
5. Certified Lean Six Sigma Green Belt – Kansas University, USA.