The Foundations of AI in Business

This course provides a strong introduction to the evolving world of artificial intelligence, by combining classic processes with modern applications

This course provides a strong introduction to the evolving world of artificial intelligence, by combining classic processes with modern applications

This course provides a comprehensive introduction to the evolving field of artificial intelligence (AI), blending classical approaches with state-of-the-art techniques and applications.

Learners will explore how intelligent systems are designed and developed, how they represent knowledge, reason under uncertainty, and learn from data.

The curriculum covers core topics including:

Knowledge representation and reasoning ,Search and problem-solving algorithms ,Machine learning fundamentals ,Uncertainty modeling and probabilistic reasoning and Introduction to neural networks and deep learning.

By the End of the Course, You Will Be Able To:

  • Understand the fundamental principles and terminology of Artificial Intelligence.
  • Identify different branches of AI, including machine learning, neural networks, and natural language processing.
  • Recognize real-world applications of AI across industries.
  • Explain basic AI decision-making and learning processes.
  • Evaluate the opportunities and challenges associated with adopting AI technologies.
  • Understand the ethical implications of AI in society and business.

 

Applied Learning Project

  • Learners will complete a practical mini-project where they analyze a real-world AI use case, identify the type of AI involved, and evaluate its benefits, limitations, and ethical considerations.
  • This hands-on activity bridges theory and practice, enabling learners to translate foundational knowledge into meaningful insights applicable to today’s evolving AI landscape.

Skills the Learner Will Gain

  • AI fundamentals & terminology
  • Analytical thinking
  • Problem-solving using AI concepts
  • Understanding of machine learning basics
  • Ethical reasoning related to AI
  • Ability to evaluate real-world AI applications

Upon completion of the program, learners will be able to:

  • Critically analyze the fundamental concepts, methodologies, and philosophical approaches that shape the field of AI.
  • Critically apply search algorithms to solve structured and unstructured AI-related problems.
  • Create a prompt-engineering template library tailored to a specific business scenario and evaluate its effectiveness through guided exercises.
  • Develop a sample AI ROI model for a case study, assessing both financial returns and operational impact.

Frequently Asked Questions

This course is suitable for learners who want a strong foundation in AI, including students, early-career professionals, and business leaders aiming to understand AI’s practical and strategic value.

A basic understanding of digital tools is helpful but not mandatory. The course introduces concepts gradually to support learners from diverse backgrounds

You’ll work with search algorithms, build prompt-engineering templates, and learn to develop AI ROI models that support data-driven decision-making.

You’ll gain critical analytical skills and hands-on competencies that are increasingly essential across technology, business, and data-driven industries.

Yes, the unit includes structured exercises and a case-study–based ROI assessment to ensure practical application of theoretical concepts.

Our Accreditions

Course Information:

  • Price:
  • $100.00
  • Instructor:
  • Dr.Marco Abdo
  • Language:
  • English
  • Certification:
  • Yes
  • Type:
  • Course
  • Skills Focus:
  • Strategic Thinking, AI Literacy, Data Analysis
  • Sessions:
  • 10
  • Credit Hours:
  • 30hrs