01
Weeks 1 to 2AI basics
Understand what AI is, where it is used, and how to use common tools carefully.
QARC EDUCATION PROGRAM8 Week AI
8 Week AI
Mentorship
A practical starting point for students who are curious about AI and do not know where to begin.
No previous AI knowledge is required. We start with the basics, introduce useful AI tools step by step, and then move into guided practice, research habits and a small final project.
8 weeksBeginner friendlyHands on learningCompletion certificate
Start from zero.Learn by using AI, not just reading about it.
WHO IT IS FOR
For students who are interested in AI, even if they are complete beginners.
This is an introductory mentorship, not an advanced engineering course. The program is designed to help a student understand the basics, become comfortable with AI tools and learn how to use them with more care and confidence.
Students learn through explanation, guided practice and project work. The goal is to make AI understandable and useful before moving on to deeper technical study.
THE 8 WEEK PLAN
Simple progression, practical work.
Each two week block builds on the one before it, so a beginner is not expected to know everything on day one.
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Weeks 3 to 4Working with AI
Practise prompts, research support, structured thinking and everyday AI workflows.
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Weeks 5 to 6Practical work
Apply the learning through guided exercises and small projects.
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Weeks 7 to 8Final project
Complete a manageable project and present what you built and learned.
Who can join?
This mentorship is for students who are interested in artificial intelligence but have not studied it before. We start from the beginning, so previous AI knowledge is not required.
The most important thing is interest. Students should be willing to ask questions, try new tools and complete the practical work during the eight weeks.
Weeks 1 to 2: Start with the basics
The first two weeks introduce AI in simple language. Students learn what AI is, where they already see it in everyday life, and what common AI tools can and cannot do.
They also learn how to use these tools carefully, including why an AI answer should be checked instead of accepted automatically.
Weeks 3 to 4: Learn to work with AI tools
Students then practise giving clear instructions, improving prompts, organising information and using AI to support study and research tasks.
The focus is practical use. Students learn by trying the tools themselves and discussing why one approach works better than another.
Weeks 5 to 6: Build small practical projects
In weeks five and six, students use what they have learned in guided mini projects. The project can be simple; the goal is to take an idea, use the right tools and produce something useful.
This part also introduces basic research habits: defining a question, finding information, checking sources and explaining the result clearly.
Weeks 7 to 8: Complete a final project
The final two weeks bring the learning together. Each student completes a manageable AI based project and prepares a short explanation of the problem, the tools used and what they learned.
Students who complete the program requirements receive a completion certificate.
What should a student be able to do after eight weeks?
The aim is not to turn a beginner into an AI engineer in eight weeks. The aim is to give students a strong starting point and enough practical confidence to continue learning.
By the end, students should understand basic AI concepts, use common AI tools more responsibly, create better prompts, check information, and complete a small project from idea to presentation.
THE PURPOSE
Ask about the mentorship A clear first step into AI.
Eight weeks will not make someone an AI engineer. It should give a motivated beginner enough understanding and practical experience to know what AI is, use common tools more responsibly and decide what they want to learn next.