您将获得的技能: 技术解决方案, 同行评审, 媒体制作, 编辑, 音乐创作, 创造力, 音乐, 后期制作, 数字信号处理, 电子媒体, 系统配置, 文件管理, 写作, 音乐表演, 自动化, 时间表, 器乐

您将获得的技能: Python 程序设计, 应用编程接口 (API), 计算机视觉, 模型部署, 自然语言处理, 微软 Azure, 数据科学, 机器学习, 人工智能和机器学习（AI/ML）, 图像分析, 机器学习算法

您将获得的技能: Search Engine Optimization, Case Studies, Process Improvement and Optimization, Web Analytics and SEO, Competitive Analysis, Keyword Research, Content Strategy, Business Strategy, Marketing Strategies, Analysis, Auditing

您将获得的技能: Large Language Modeling, Model Deployment, Natural Language Processing, Application Deployment, Transfer Learning, Embeddings, Workflow Management, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Data Processing, Application Programming Interface (API), Model Evaluation, Automation, Software Installation

您将获得的技能: Amazon Bedrock, Responsible AI, Generative AI, AI Security, Artificial Intelligence, Large Language Modeling, Amazon Web Services, Embeddings, Retrieval-Augmented Generation, Image Analysis

您将获得的技能: Prompt Engineering, Microsoft Azure, Development Testing, Application Deployment, LLM Application, Multimodal Prompts, Artificial Intelligence, Test Case, Agentic systems, Retrieval-Augmented Generation, Application Programming Interface (API), Natural Language Processing, Technical Documentation

您将获得的技能: OpenAI API, Generative Model Architectures, Hugging Face, Programming Principles, Computer Programming, Software Installation

您将获得的技能: Healthcare 5.0, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Jupyter, LLM Application, Generative Model Architectures, AI Product Strategy, Model Evaluation, Multimodal Prompts, Health Systems, Health Information Management, Data Preprocessing, Data Analysis

您将获得的技能: Responsive Web Design, AI Personalization, Web Analytics and SEO, HTML and CSS, Web Content, Application Security, Web Servers, Cloud Hosting, Control Panels

您将获得的技能: 分类算法, 自然语言处理, 概率与统计, Machine Learning 方法, 统计机器学习, 功能工程, 文本挖掘, 监督学习, 嵌入, 降维

您将获得的技能: 分子生物学, 生理学, 心理学, 病理学, 细胞生物学, 解剖学, 神经学

您将获得的技能: Machine Learning 方法, 生理学, Matlab, 递归神经网络 (RNN), 生物学, 数学建模, 强化学习, 计算思维, 神经学, 网络模型, 计算机科学, 人工神经网络, 监督学习, 机器学习算法, 概率分布, 线性代数