Mini MBA: Artificial Intelligence and Digital Transformation

$3500.00

vuenu

Objectives:
- Learn the concept of artificial intelligence and its basics.
- Understand the role of digital transformation in business.
- Review the history of digital transformation and its impact on the business environment.
Topics:
1. Definition of artificial intelligence and assistive technologies.
2. The difference between artificial intelligence and digital transformation.
3. How digital transformation contributes to business development.
4. Case Study: The Impact of Digital Transformation on Some Major Companies.
Target audience:
- Business managers.
- IT people.
- Entrepreneurs.
Learning method:
- Theoretical lectures.
- Group discussions.
- Practical workshops to identify digital transformation opportunities.

Objectives:
- Learn about AI applications in business.
- Learn how to use AI tools to improve productivity and decision-making.
Topics:
1. Artificial intelligence in customer service (Chatbots, Personal Assistants).
2. Artificial intelligence in data analysis.
3. Using artificial intelligence in forecasting and market analysis.
4. Practical tools and applications (eg: IBM Watson, Google AI).
Target audience:
- IT professionals.
- Operations and Production Managers.
- Data engineers.
Learning method:
- Practical sessions on using AI tools.
- Data analysis training using artificial intelligence techniques.
- Applied case studies.

Objectives:
- Understanding digital transformation strategies in companies.
- Knowing how to develop and implement a digital transformation plan.
Topics:
1. Stages of digital transformation in institutions.
2. Developing a digital transformation strategy.
3. The role of leadership and management in the success of digital transformation.
4. Analyzing the challenges facing organizations during digital transformation.
Target audience:
- Administrative leaders.
- Digital transformation consultants.
- Business strategy officers.
Learning method:
- Case studies of companies that have successfully transformed digitally.
- Workshops to build digital transformation strategies.
- Change management training in the context of digital transformation.

Objectives:
- Understand how to apply artificial intelligence and digital transformation in different industries.
- Identify the challenges and opportunities in each industry.
Topics:
1. Artificial intelligence in health.
2. Artificial intelligence in education.
3. Digital transformation in e-commerce.
4. Digital transformation in the financial sector.
Target audience:
- Specialists in every industry.
- Leaders who make decisions in those industries.
Learning method:
- Specialized sessions for each industry.
- Analysis and discussion of application cases in these industries.
- Interactive sessions to solve problems and challenges.

Objectives:
- Envisioning the future of artificial intelligence and digital transformation in the business sector.
- Identifying future opportunities and trends.
Topics:
1. Future trends in artificial intelligence and digital transformation.
2. How to build a flexible business development strategy with AI.
3. Innovation and research and development in the digital age.
4. Building an organizational culture that keeps pace with digital transformation.
Target audience:
- All course participants.
- Strategy and Innovation Managers.
- Research and development specialists.
Learning method:
- An interactive lecture highlighting the future of business.
- Group discussions on future directions.
- Workshop to build future business development strategies.

This is the general course design. It can be further customized based on your audience's requirements or the specific areas you focus on.