“Well, what to do at night in the shelter? Of course, deal with Claude.” The Ukrainian IT professional compiled a navigator for the Anthropic Academy educational platform based on her own experience of taking 10 courses

“Well, what to do at night in the shelter? Of course, deal with Claude. The result is 10 completed Anthropic Academy courses. AI is everywhere now, so we need to catch this wave and learn. Where and from whom? The choice is obvious — from the creators of Claude, especially since it's free,” notes Anastasia Dyka in her post on LinkedIn.

Recall that Anthropic Academy was launched in August of this year . It is a free educational site for those who want to better understand Claude and AI in general.

Preparatory stage and own roadmap

Before starting her studies, the engineer clearly outlined the range of tasks she plans to solve with the help of AI:

• Professional: automation and efficiency improvement in QA;

• Business: consulting clients on LinkedIn, building an influencer's personal brand, content analysis and planning;

• Personal: family and household chores, time management, shopping, activity, and nutrition.

Based on these goals, Anastasia used AI to create a personal roadmap for development in the chosen areas and immediately began implementing it.

Anthropic Academy course navigator

According to the specialist, the time for completing the courses is approximate, as analyzing examples, correcting errors, and adapting tools to your own needs require additional resources. Training materials and final quizzes are available in English, but some areas already have a Ukrainian translation.

For non-technical professionals and beginners (without code):

• Claude 101 (~3 hours): introduction to basic features — prompts, projects, artifacts, and connecting tools.

• AI Fluency: Framework & Foundations (~4 hours): principles of AI task delegation, prompt formulation, and evaluation of results without programming.

• Introduction to Claude Cowork (~3 hours): working with files and multi-step processes (providing context, editing, and reviewing).

For engineers (Claude Code):

• Claude Code 101 (~2 hours): Getting started with an AI agent for development.

• Claude Code in Action (~2 hours): stand-alone sessions, automation, rules, and validations.

• Introduction to agent skills (~2 hours): creating and configuring personalized skills (Skills).

• Introduction to subagents (~2 hours): development of subagents for highly specialized tasks.

For developers (with Python and code knowledge):

• Claude Platform 101 (~2 hours): first API requests, model selection, and agent logic.

• Introduction to Model Context Protocol (~1 hour): working with the MCP protocol to connect AI to external data and create a server and client in Python.

• Building with the Claude API (~12 hours): the most comprehensive course on complex prompts, searching your own data, tool calls, and MCP.

Tips for an effective start

Anastasia Dyka advises not to take all the courses in a row, but to choose them for a specific request:

• Start without code: Claude 101 ➔ AI Fluency ➔ Cowork.

• For working with code: Claude Code 101 with a further selection of specialized modules.

For those who still have difficulty learning English, courses translated into Ukrainian are available: Claude 101, Claude Code 101, Claude Cowork, and Claude Subagents.

All courses can be found on the Anthropic Academy website.

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