AI Logical Thinking: Problem-Solving (Course)

This session, in which engineer Reham Qatout participates, highlights the essential role of

"problem solving" as an essential skill for logical thinking in the era of artificial intelligence.

He emphasizes that although AI can provide solutions, human expertise is required to verify

accuracy and ensure compatibility with specific business constraints such as budget and context.

The discussion delves into the technical roots of algorithms and the binary system, and promotes

C++ as a high-performance language for deep technical mastery. By focusing on basic logic rather

than just superficial tools, participants learn how to navigate a changing job market where millions

of new opportunities await skilled thinkers. Ultimately, the session frames these technical skills as a 

gateway to prestigious global opportunities at companies like Google and Facebook.

Last updated Jan 2026

What you'll learn

Universal Thinking Skill: Problem-solving is a versatile skill applicable to any field, enabling better decision-making for employees and managers alike.
Critical AI Interaction: Avoid "blind trust" in AI; human logic is necessary to evaluate if a suggested solution fits the specific challenges of a business.
Algorithmic Foundation: Understanding that every device, from a remote control to complex software, operates on a specific sequence of logical steps.
Binary and Programming: Computers only understand the "0 and 1" system, making programming languages the essential bridge between human logic and machine action.
The Advantage of C++: Learning C++ is recommended because it is fast, efficient, and teaches the intricate details of how software interacts with hardware.
Operational Efficiency: Mastering structured problem-solving reduces professional errors, organises workflows, and ensures results are delivered within the required time.
Global Career Path: High proficiency in these skills is a key requirement for international tech giants and serves as a major advantage during job interviews.

Course content

1 sections • 0 lectures • total length

AI Logical Thinking: Problem-Solving (Course)

1 lectures 2h

Instructors

Samer Al-Bitawi

Samer Al-Bitawi

Mr. Samer is an artificial intelligence expert specializing in the design and implementation of intelligent, agent-based systems. He holds an international certification from NEXT MBA in The Future of AI in Business and Marketing, with a focus on applying AI to automation, decision-making, and intelligent user experiences.

Riham Katout

Riham Katout

Riham Katout is a Computer Engineering graduate and programming instructor with experience in teaching C++ and problem-solving techniques. She specializes in helping students build strong analytical thinking, understand algorithmic patterns, and solve problems efficiently using C++ and the STL.

Explore related topics

Mid-Level Data Science Development

Participants Feedback

No reviews yet. Be the first to review this course!

AI Logical Thinking: Problem-Solving (Course)
Free
Enroll for Free
30-day money-back guarantee

This course includes:

  • Access on mobile and TV
  • Full lifetime access
  • Certificate of completion
Share Gift this course