Mini MBA: Artificial Intelligence and Digital Transformation
Mini MBA: Artificial Intelligence and Digital Transformation
$5500.00
Course duration: 5 days
Course objectives:
Providing participants with a comprehensive understanding of artificial intelligence (AI) concepts and its impact on the business environment.
Exploring digital transformation strategies and how to implement them in organizations to achieve growth and competitiveness.
Developing data analysis skills and data-driven decision-making using artificial intelligence techniques.
Enabling participants to use analytical and artificial intelligence tools to enhance operational efficiency.
Understanding the ethics of artificial intelligence and its impact on companies and society.
Target audience of the course:
Entrepreneurs and executives eager to embrace digital transformation.
IT managers and digital innovation officers.
Business management professionals who seek to understand the applications of artificial intelligence in their organizations.
Academics and researchers interested in developing artificial intelligence and digital transformation strategies.
Anyone seeking to understand how to use artificial intelligence in decision-making and data analysis.
Learning method:
Interactive lectures: Clarifying basic concepts and practical examples.
Workshops: Practical applications of artificial intelligence tools and data analysis.
Case Studies: Analyzing Success Stories of Digital Transformation in Global Companies.
Group discussions: Sharing experiences and providing practical solutions to digital transformation challenges.
Practical project: Preparing a strategic plan for digital transformation using artificial intelligence.
The daily topics of the course:
Day One: Introduction to Artificial Intelligence and Digital Transformation
Definition of artificial intelligence and its fields in business.
Concepts of digital transformation and its impact on companies.
Digital innovation strategies and modern trends.
Day Two: Artificial Intelligence in Decision Making and Data Analysis
Using big data in decision support.
Data analysis and future prediction tools using artificial intelligence.
Case studies on the success of companies in implementing artificial intelligence.
Day Three: AI Technologies in Process Improvement
Smart automation and its role in improving productivity.
Applications of artificial intelligence in marketing, human resources, and logistics.
A practical experiment using artificial intelligence tools for performance analysis.
Day Four: Digital Transformation and Implementation Strategies
How to build a roadmap for digital transformation in companies.
Challenges of digital transformation and how to overcome them.
An applied study on creating a comprehensive digital transformation strategy.
Day Five: The Future of Business with Artificial Intelligence
Future trends in artificial intelligence and digital transformation.
Ethics of artificial intelligence and social responsibility.
Presenting and discussing practical projects.
