python
import re
from datetime import datetime
from typing import List, Dict
class AITrainingCamp:
"""AI硬核技能实战训练营介绍类"""
def __init__(self):
self.camp_name = "AI硬核技能实战训练营"
self.platform = "慕课网"
self.features = []
self.curriculum = []
def add_feature(self, feature: str) -> None:
"""添加训练营特色"""
self.features.append(feature)
def add_curriculum(self, course: Dict[str, str]) -> None:
"""添加课程模块"""
self.curriculum.append(course)
def generate_introduction(self) -> str:
"""生成训练营介绍"""
# 构建特色介绍
features_section = self._build_features_section()
# 构建课程大纲
curriculum_section = self._build_curriculum_section()
# 完整介绍
introduction = f"""
# {self.camp_name} - {self.platform}
## 训练营概述
{self._get_overview()}
## 核心特色
{features_section}
## 课程体系
{curriculum_section}
## 学习收获
{self._get_learning_outcomes()}
## 适合人群
{self._get_target_audience()}
"""
return introduction
def _build_features_section(self) -> str:
"""构建特色部分"""
features_list = []
for i, feature in enumerate(self.features, 1):
features_list.append(f"{i}. {feature}")
return "\n".join(features_list)
def _build_curriculum_section(self) -> str:
"""构建课程大纲部分"""
curriculum_list = []
for i, course in enumerate(self.curriculum, 1):
curriculum_list.append(f"### 模块{i}: {course['name']}")
curriculum_list.append(f" - 内容: {course['content']}")
curriculum_list.append(f" - 实战项目: {course['project']}")
curriculum_list.append("")
return "\n".join(curriculum_list)
def _get_overview(self) -> str:
"""获取概述内容"""
return f'''
本训练营是{self.platform}精心打造的AI实战课程，聚焦于人工智能核心技术的实际应用。
通过项目驱动的学习方式，帮助学员掌握从基础理论到工业级实践的完整技能栈。
课程设计紧跟业界最新趋势，涵盖机器学习、深度学习、自然语言处理等关键领域。
'''
def _get_learning_outcomes(self) -> str:
"""获取学习收获"""
outcomes = [
"掌握机器学习与深度学习的核心算法原理",
"具备独立完成AI项目从0到1的实战能力",
"熟练使用TensorFlow、PyTorch等主流框架",
"掌握模型部署和性能优化技巧",
"具备解决实际业务问题的AI思维"
]
return "\n".join([f"- {outcome}" for outcome in outcomes])
def _get_target_audience(self) -> str:
"""获取适合人群"""
audiences = [
"计算机相关专业的在校学生",
"希望转行AI领域的开发工程师",
"想要提升AI实战能力的数据分析师",
"对人工智能技术有浓厚兴趣的技术爱好者"
]
return "\n".join([f"- {audience}" for audience in audiences])
def setup_training_camp() -> AITrainingCamp:
"""设置训练营内容"""
camp = AITrainingCamp()
# 添加特色
camp.add_feature("项目驱动教学，真实工业场景实战")
camp.add_feature("一线大厂导师亲授，经验分享")
camp.add_feature("小班制教学，个性化指导")
camp.add_feature("就业指导，职业规划服务")
camp.add_feature("终身学习社区，持续技术更新")
# 添加课程模块
curriculum_data = [
{
"name": "Python与AI基础",
"content": "Python编程、数据处理、数学基础",
"project": "数据分析和可视化项目"
},
{
"name": "机器学习实战",
"content": "监督学习、无监督学习、模型评估",
"project": "房价预测系统"
},
{
"name": "深度学习进阶",
"content": "神经网络、CNN、RNN、Transformer",
"project": "图像分类与目标检测"
},
{
"name": "自然语言处理",
"content": "文本处理、情感分析、文本生成",
"project": "智能聊天机器人"
},
{
"name": "项目实战与部署",
"content": "模型优化、部署上线、性能监控",
"project": "端到端AI应用系统"
}
]
for course in curriculum_data:
camp.add_curriculum(course)
return camp
def validate_introduction(text: str) -> bool:
"""验证介绍文本的完整性"""
required_sections = [
"训练营概述",
"核心特色",
"课程体系",
"学习收获",
"适合人群"
]
for section in required_sections:
if section not in text:
return False
# 检查特色和课程数量
features_count = len(re.findall(r'\d.', text))
curriculum_count = len(re.findall(r'模块\d', text))
return features_count >= 3 and curriculum_count >= 3
# 主程序
if __name__ == "__main__":
# 创建训练营实例
ai_camp = setup_training_camp()
# 生成介绍
introduction = ai_camp.generate_introduction()
# 验证内容完整性
is_valid = validate_introduction(introduction)
print("=" * 60)
print("AI硬核技能实战训练营介绍生成器")
print("=" * 60)
print(f"生成时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}")
print(f"内容验证: {'通过' if is_valid else '未通过'}")
print("=" * 60)
print(introduction)
# 输出统计信息
print("\n" + "=" * 60)
print("内容统计:")
print(f"- 核心特色: {len(ai_camp.features)}项")
print(f"- 课程模块: {len(ai_camp.curriculum)}个")
print(f"- 总字数: {len(introduction)}字")
print("=" * 60)
