Learn AI: Self-Taught. From Zero to Your First AI Project

Stop collecting tutorials. Finish a project you can show.

Many people in tech have courses, certificates and bookmarks. What they lack is proof: a finished, documented project that a recruiter can check in five minutes.

This guide is built around one outcome. By the last page, you will have a clear path, a working method, and a project ready for your GitHub and your CV.

What’s inside

• A readiness self-assessment to see where you stand before you start
• A four-step roadmap: data, machine learning, model evaluation, and language models through APIs
• Working code examples for Python, pandas and scikit-learn, to run in Google Colab
• A worked mini-project from question to honest results, with a README template
• A proof-of-skill rubric showing what employers actually check
• A 30-day plan with checklists you can tick off each week
• A list of free resources, and how to get your first opportunity

Who this is for

Students, recent graduates and self-taught learners aged 15 to 30 who want to build real AI skills on a basic laptop or phone, without expensive equipment.

Who this is not for

If you are looking for a promise of a job in 30 days, this guide is not that. It gives you a method and a project. The results depend on the work you put in.

About the author

Aristote Alphonse is a computer science student at Mount Kenya University and the founder of Kognitiv Analytica, an AI and data initiative working with schools, universities and businesses in East Africa.

What you receive

• Instant download of the PDF (27 pages)
• Lifetime access to this version
• Use for personal learning only