Problem Solving in the AI Era

Course Syllabus

Module 1: Foundations of Problem Solving in the AI Context

Understand the fundamentals of problem solving and explore how AI changes traditional methods with faster, smarter tools.

Module 2: Framing Problems Effectively with AI Tools

Learn to define and scope problems clearly by using AI to gather data, identify gaps, and visualise opportunities.

Module 3: Root Cause Analysis in AI-Driven Workflows

Explore how AI can assist in identifying root causes through pattern recognition, machine learning, and process analysis.

Module 4: Generating Solutions Using Human-AI Collaboration

Combine your creative thinking with AI-assisted tools to brainstorm, test, and refine potential solutions.

Module 5: Decision-Making in Complex Problem Scenarios

Learn structured decision-making techniques and understand how AI models can help compare outcomes and reduce risk.

Module 6: AI Tools for Problem Simulation and Scenario Testing

Use simulations and predictive AI tools to test different solutions and prepare for possible outcomes and disruptions.

Module 7: Collaborative Problem Solving in AI-Enabled Teams

Develop communication and collaboration strategies to work effectively in human-AI hybrid teams on problem-solving tasks.

Module 8: Building a Future-Ready Problem Solving Mindset

Strengthen adaptability, strategic thinking, and the ability to use AI tools confidently in evolving professional environments.

Career Path

Completing Problem Solving in the AI Era opens doors to a wide range of dynamic roles. This qualification is ideal for future-focused professionals across business, tech, and management sectors. You could pursue careers such as AI Consultant, Business Analyst, Innovation Strategist, Digital Project Manager, or Operations Manager. It is also suitable for individuals aiming to transition into AI-assisted decision-making roles or enhance their leadership capabilities. The skills developed through this course are valuable across industries where problem-solving and technology intersect.

Endorsement

Upon successful completion of the course, learners can choose from two certification options:

• Option 1: Certificate issued by CPDCourses.com, endorsed by the Quality Licence Scheme (QLS)
• Option 2: CPD Accredited Certificate issued by the CPD Standards Office

The CPD certificate is internationally recognised by employers and demonstrates your commitment to professional growth in the evolving world of AI and problem solving.

FAQs

Course-Specific FAQs

What programming language is used in this course?
This course focuses more on practical applications of AI in problem solving rather than deep technical programming, but Python is referenced for examples.

Do I need prior knowledge of machine learning?
No, prior knowledge is not required. The course is designed for all learners and introduces AI concepts in an easy-to-understand format.

Can I complete this course at my own pace?
Yes! The course is fully flexible and self-paced, allowing you to study whenever and wherever suits you best.

What is the concept of problem solving in AI?
It refers to using AI technologies like machine learning and data analysis to identify issues, generate solutions, and make decisions efficiently.

What is the role of artificial intelligence in problem solving?
Artificial Intelligence and Problem Solving go hand-in-hand—AI helps by analysing data, predicting outcomes, and supporting human decision-making.

What is problem solving in intelligence?
Problem solving in intelligence involves evaluating complex information, identifying issues, and developing solutions—a process now enhanced by AI.