您将获得的技能: C (Programming Language), Embedded Systems, Embedded Software, Debugging, System Programming, Systems Architecture, Hardware Architecture, Microarchitecture, Data Structures, Peripheral Devices, Memory Management, Computational Logic

您将获得的技能: 公共卫生与疾病预防, 系统分析, 卫生政策, 公共卫生, 数据分析软件, 政策分析, 模拟, 政策制定, 卫生系统, 系统思考

您将获得的技能: Prompt Engineering, Prompt Patterns, Responsible AI

您将获得的技能: ChatGPT, 大型语言建模, 提示模式, 人工智能工作流程, 及时工程, 生成式人工智能代理, Jupyter, 法学硕士申请, OpenAI 应用程序接口, 自助服务技术, OpenAI, Prompt Engineering

您将获得的技能: 数据访问, Python 编程, 数据转换, 集成开发环境, 数据整合, 风格指南, 数据库, 编程原则, 网络抓取, 可维护性, 单元测试, 数据库管理, 数据采集, 数据管道, 摘录, 软件包和软件管理, 应用编程接口 (API), 数据整理

您将获得的技能: 数据仓库, 数据存储技术, 数据湖, 数据库, 数据存储, 数据整合, Apache Hadoop, 数据架构, 大数据, 数据基础设施, 数据库设计, 关系数据库, 查询语言, 数据科学, Apache Spark, 数据管理, 数据管道, 摘录, Data Governance, NoSQL

您将获得的技能: Agentic Workflows, Artificial Intelligence and Machine Learning (AI/ML), Agentic systems, System Design and Implementation, Unified Modeling Language, Performance Metric, Performance Measurement, Requirements Analysis, Performance Analysis, Model Evaluation, Prototyping, Stakeholder Communications, Stakeholder Engagement, Benchmarking

您将获得的技能: Claude Code, Prompt Engineering, ChatGPT, Retrieval-Augmented Generation, Generative AI Agents, Prompt Patterns, Anthropic Claude, Agentic Workflows, Token Optimization, Multimodal Prompts, Generative AI, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Software Engineering, Software Development Tools, Software Development, Automation, Software Architecture, Software Testing, Software Design

您将获得的技能: Prompt Engineering, Prompt Patterns, Data Wrangling, Large Language Modeling, LangChain, Retrieval-Augmented Generation, Exploratory Data Analysis, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Supervised Learning, Responsible AI, Vector Databases, Fine-tuning, Python Programming

您将获得的技能: Generative AI, Responsible AI, Generative Model Architectures, Multimodal Prompts, Prompt Engineering, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Azure DevOps Pipelines, AI Security, Fine-tuning, Data Ethics, AI Orchestration, AI Workflows, Model Deployment, Azure DevOps, Microsoft Azure, ChatGPT, AI Integrations, Artificial Intelligence and Machine Learning (AI/ML), Python Programming

您将获得的技能: Multimodal Prompts, Gemini, Prompt Engineering, Google Gemini, Prompt Patterns, LLM Application, Tool Calling, Large Language Modeling, Token Optimization, Application Programming Interface (API), Image Analysis

您将获得的技能: Python 编程, 生成模型架构, 生成式人工智能, 视觉转换器（ViT）, 提示模式, 机器学习, 大型语言建模, 模型评估, 迁移学习, 矢量数据库, Model Evaluation, 及时工程, 检索-增强生成, 数据科学, PyTorch（机器学习库）, Apache Spark, 计算机视觉, 微调, Transfer Learning, Keras（神经网络库）, PySpark, 无监督学习, Prompt Engineering