Artificial Intelligence in Problem Solving – Free Level 3 Course

Study artificial intelligence problem solving online with Oxford Home Study Centre through this free Level 3 course. The programme has a recorded duration of 200 hours and introduces three foundations of AI problem solving: how intelligent systems define problems, how search algorithms explore possible solutions and how constraint satisfaction methods deal with rules and restrictions.

You can compare subjects in our complete online course catalogue, browse the wider artificial intelligence course range or explore more programmes available through our free AI course collection. If you want a longer and more advanced route covering logic, knowledge representation, heuristics, planning and uncertainty, compare the Level 5 Artificial Intelligence and Problem Solving diploma.

What This Free Course Covers

This course is designed as an introduction to AI problem-solving concepts. It does not try to cover every branch of artificial intelligence. Instead, it concentrates on three connected ideas that help explain how an intelligent system can move from a defined problem towards a workable solution.

You will first look at how AI-based problem solving differs from a conventional step-by-step method. You will then examine search strategies that allow a system to explore alternatives. The final module introduces constraint satisfaction problems, where a solution is only valid if it meets a defined set of conditions.

Who Should Take This Course?

This free course may suit complete beginners, students and professionals who want an accessible introduction to AI problem-solving methods without committing to a longer paid programme. It may also be useful if you already use AI tools and want to understand some of the underlying ideas behind search, structured reasoning and constrained solutions.

No formal entry requirements are listed. The course is introductory and should not be presented as an advanced programming, data-science or machine-learning qualification. Completing it can support further learning, but it does not guarantee employment, promotion, salary outcomes or professional status.

Continue Your Learning

Level 5 Artificial Intelligence and Problem Solving – the extended eight-module, 450-hour route covering logic, knowledge representation, heuristics, planning and uncertainty.
Machine Learning Fundamentals for Beginners – a separate introductory course focused on how machine-learning systems learn from data.
Thinking and Critical Thinking – a practical guide to analysing evidence, questioning assumptions and making reasoned decisions.
Free online courses with optional certificates – browse free study opportunities across AI and other subjects.

Frequently Asked Questions

Is this AI problem-solving course really free to study?

Yes. You can enrol, access the course materials, complete the required study and finish the course without paying a course fee. Certificates are optional paid products.

What level is the course?

The live course record identifies it as Level 3 with a recorded duration of 200 hours. It is intended as an introductory route rather than the longer Level 5 diploma.

How many modules are included?

The course contains three modules: Introduction to AI Problem-Solving, Search Algorithms for Problem-Solving, and Constraint Satisfaction Problems.

Does this course teach AI programming?

The published syllabus focuses on problem-solving concepts rather than a programming language. If your objective is to learn coding for AI, compare a dedicated programming course after completing the foundations.

Do I have to buy a certificate?

No. Certificate purchase is optional. After successful completion, you may choose a QLS-endorsed Certificate of Achievement or a CPD-accredited certificate, each with separate pricing.

Learning Outcomes

By the end of the course, you should be able to:

explain the basic role of artificial intelligence in structured problem solving;
distinguish between conventional problem-solving approaches and AI-based search;
describe how search strategies help a system explore possible solution paths;
recognise why different problems may require different search approaches;
explain the basic idea of a constraint satisfaction problem; and
identify examples in which constraints influence planning, scheduling or optimisation.

Free Study and Optional Certification

You can enrol on AI for Problem Solving Skills, access the online learning materials and complete the course without paying a course fee. Certification is optional, separate from free study and available after successful completion.

You may choose to purchase:

QLS-endorsed Certificate of Achievement
CPD-accredited certificate issued by the CPD Standards Office as a record of continuing professional development

You may order either certificate on its own or purchase both for the same completed course. Buying one does not require you to buy the other.

Each certificate has its own price, and the total payable may vary by certificate choice, course level, format and delivery option. View our current certificate options and prices.

Certification is optional and is not required to access the learning materials or complete the course.

Course Content

Topics Covered in the Course

Course Content

Module 1: Introduction to AI Problem-Solving

Begin with the foundations of intelligent problem solving. You will explore how a problem can be described in terms of goals, possible actions and solution conditions, while comparing traditional methods with AI-driven approaches.

Module 2: Search Algorithms for Problem-Solving

Learn why search is central to many AI problems. This module introduces the idea of exploring alternative paths and comparing search strategies used to move from an initial state towards a goal.

Module 3: Constraint Satisfaction Problems (CSPs)

Explore problems where a successful solution must satisfy a number of conditions at the same time. You will see how constraint-based thinking can be applied to examples such as scheduling, planning and optimisation.

How It Works

Build your knowledge through clear and accessible online learning.

Complete the assignments and achieve the required marks.

Choose an optional certificate after completing the course.

Why Choose a Certificate?

An optional certificate provides a clear record of successful course completion. Add it to your learning portfolio and share it where relevant.

Completing the course and its assessments shows your commitment to developing subject knowledge through focused, independent learning.

Use your new knowledge to support further study, workplace development or personal goals. A certificate records completion but does not guarantee employment or professional status.