MGT4790
AI-Driven Innovation & Strategy
This course provides career professionals and industry leaders with hands-on experience in leveraging artificial intelligence (AI) for strategic decision-making, operational efficiency, and business transformation. Students will gain practical knowledge of AI applications through an interactive AI testing environment used to develop AI-driven solutions, engage in AI-powered discussions, and apply AI to real-world case studies in industries such as technology, finance, project management, emerging business trends and various industries.
Designed as the capstone of the AI series of courses at Amberton, this course is centered on developing strategic AI solutions for real-world challenges. Students will assess industry trends, evaluate AI tools, and build an AI strategy portfolio or prototype as their final product that they can take with them into the marketplace.
PREREQUISITE: None
AQUIRED SKILLS:
- AI Strategy Development – Strategically applying AI-driven solutions to business innovation and decision-making processes.
- AI Testing Proficiency – Developing, evaluating, and refining AI solutions using Amberton’s AI testing environment.
- Strategic AI Tool Evaluation – Critically assessing AI tools for effective integration into business processes and project management.
- Ethical AI Governance – Understanding and implementing ethical practices, regulatory compliance, and governance frameworks associated with AI deployment.
- Capstone AI Portfolio (Graduate students only) – Constructing and presenting a strategic AI portfolio demonstrating advanced problem-solving, analytical depth, and impactful industry solutions accessible post-graduation.
COURSE COMPETENCIES:
UPON COMPLETION OF THE COURSE, THE STUDENT WILL BE COMPETENT IN:
- Explaining the core concepts of AI-driven innovation and strategy in business environments.
- Utilizing Amberton’s AI testing environment to develop AI-powered solutions for strategic decision-making.
- Identifying ethical considerations and governance issues related to AI adoption in organizations.
- Applying AI models to enhance efficiency, automation, and competitive advantage across industries.
- Analyzing real-world AI applications in technology, finance, project management, and entrepreneurship.
- Developing AI-driven strategies for workforce development and industry leadership.
- Creating, testing, and refining AI chatbots and automation tools for business optimization.
- Evaluating AI’s impact on digital transformation and the evolving business landscape.
- Formulating actionable recommendations for AI adoption in organizations.
- Demonstrating competency in AI-enhanced project management tools and methodologies.