AI 课程
基础：大数据 → 机器学习 → 深度学习。
MindBuilder AI 的核心训练路径——一门四课系列，带领零基础学生从混乱数据走向深度神经网络。
该分类下的课程
每门课程都以项目为导向并由导师支持。点击任意课程查看完整大纲。
01MBAI-10020 hours· 10 sessions · 2 hours each
Level 1Processing Big Data – Tools and Techniques
The foundational step into Artificial Intelligence. Master Python, Pandas, and SQL to prepare real-world datasets for modeling.
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02MBAI-20020 hours· 10 sessions · 2 hours each
Level 2Introduction to AI Development & Environments
Turn raw data into compelling visual stories with Matplotlib, Seaborn, and Plotly — all inside Google Colab.
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03MBAI-30020 hours· 10 sessions · 2 hours each
Level 3Introduction to Machine Learning
Step into predictive modeling — train models that learn from data and deploy them to solve real problems.
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04MBAI-40020 hours· 10 sessions · 2 hours each
Level 4Introduction to Deep Learning
Explore artificial neural networks, CNNs, RNNs, and the techniques behind modern AI breakthroughs.
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