Your path

Step 1
AI в Professional Services: от задачи к ценности~1.5 h
Step 2 · by the author’s design, after “AI в Professional Services: от задачи к ценности”inside a rung the order is up to you
Optimization: когда AI ищет лучшее решение~1.5 h
Probability и неопределённость~1.5 h
Machine Learning Fundamentals~2 h
Step 3
Bayesian reasoning: обновляем уверенность по evidence~1.5 h · by the author’s design, after “Probability и неопределённость”
Regression и forecasting~1.5 h · by the author’s design, after “Machine Learning Fundamentals”
Classification, similarity и triage~2 h · by the author’s design, after “Machine Learning Fundamentals”
Работа с текстом и enterprise documents~2 h · by the author’s design, after “Machine Learning Fundamentals”
Step 4 · ~2 h
Model Evaluation, overfitting и business metricsby the author’s design, after “Regression и forecasting”, “Classification, similarity и triage”
Optional Lab: Regression на PythonTechnical Labs · by the author’s design, after “Regression и forecasting”
Optional Lab: Text Classification на PythonTechnical Labs · by the author’s design, after “Classification, similarity и triage”
Step 5
Neural Networks и Deep Learning без магии~1.5 h · by the author’s design, after “Model Evaluation, overfitting и business metrics”
Step 6
Generative AI и LLM в enterprise~2.5 h · by the author’s design, after “Neural Networks и Deep Learning без магии”
Step 7
RAG и Enterprise Knowledge~2.5 h · by the author’s design, after “Generative AI и LLM в enterprise”
Step 8
AI Agents и workflow automation~2 h · by the author’s design, after “RAG и Enterprise Knowledge”
Responsible AI, privacy, security и governance~2.5 h · by the author’s design, after “Generative AI и LLM в enterprise”, “RAG и Enterprise Knowledge”
Optional Lab: RAG Prototype~3 h · Technical Labs · by the author’s design, after “RAG и Enterprise Knowledge”
Step 9
AI Business Case: от идеи к PoC~2 h · by the author’s design, after “Model Evaluation, overfitting и business metrics”, “Responsible AI, privacy, security и governance”
Step 10
Capstone: AI Solution Proposal~4 h · by the author’s design, after 13 of these: “AI в Professional Services: от задачи к ценности”, “Optimization: когда AI ищет лучшее решение”, “Probability и неопределённость”, “Bayesian reasoning: обновляем уверенность по evidence”, “Machine Learning Fundamentals”, “Regression и forecasting”, “Classification, similarity и triage”, “Работа с текстом и enterprise documents”, “Model Evaluation, overfitting и business metrics”, “Neural Networks и Deep Learning без магии”, “Generative AI и LLM в enterprise”, “RAG и Enterprise Knowledge”, “AI Agents и workflow automation”, “Responsible AI, privacy, security и governance”, “AI Business Case: от идеи к PoC”
Examfinal · in the browser, without the assistantclosed · enrol on the course

0 of 19 units done · ~32.5 h without the optional units, ~39.5 h with them

Optimization: когда AI ищет лучшее решение

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