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How to master AI in 30 days: step-by-step plan

In a month of meaningful practice, you can move from “I’m afraid of neural networks” to “I confidently solve problems with AI.” Here is a realistic plan week by week - without water and inflated promises.

Week 1: Prompting Basics

Master a basic skill - clearly stating a problem in words. Techniques: role, response format, example, decomposition. Practice on real problems every day. This is the foundation on which everything else rests.

Week 2: Apply to Your Problems

Take your real affairs (work, study, everyday life) and solve them with AI: letters, texts, data analysis, planning. The goal is to integrate AI into your daily routine and experience real time savings.

Week 3: Direction Selection and Depth

Decide on a goal—no-code work, development, or a career in AI—and go deeper. Study topics that suit your purpose, not everything in a row. Depth is more important than coverage.

Week 4: Project and Portfolio

Put together one small, complete project that solves a real problem. Finish it and file it as a case. The completed project teaches more than a month of reading and becomes proof of skill.

The main rule of the month

Learn by doing, not by video. Practice every day, check the facts, bring what you start to the end. In 30 days of active practice, the skill becomes yours.

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