数据、人工智能和云计算课程

• 基本的技能水平
• 4.5+
• 2.1K

Learn the skills needed to create impactful dashboards. Understand dashboard design fundamentals, visual analytics components, and dashboard types.

• 基本的技能水平
• 4.6+
• 1.7K

Understand the fundamentals of Machine Learning and how its applied in the business world.

• 中间的技能水平
• 4.5+
• 1.7K

Discover modern data architectures key components, from ingestion and serving to governance and orchestration.

• 基本的技能水平
• 4.6+
• 1.7K

Improve data literacy skills by analyzing remote working policies.

• 中间的技能水平
• 4.6+
• 1.6K

Boost your coding with AI—guide your coding assistant to write, test, and document code effectively.

• 基本的技能水平
• 4.5+
• 1.5K

Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.

• 基本的技能水平
• 4.6+
• 1.5K

Explore data ethics with this comprehensive introductory course, covering principles, AI ethics, and practical skills to ensure responsible data use.

• 基本的技能水平
• 4.6+
• 1.5K

Discover how to become a data defender and keep data safe and secure with this beginner-friendly interactive course.

• 基本的技能水平
• 4.6+
• 1.4K

In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.

• 基本的技能水平
• 4.7+
• 1.3K

Learn about data science for managers and businesses and how to use data to strengthen your organization.

• 基本的技能水平
• 4.6+
• 1.3K

Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.

• 基本的技能水平
• 4.5+
• 1.2K

Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!

• 中间的技能水平
• 4.5+
• 1.2K

Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.

• 基本的技能水平
• 4.6+
• 1.2K

Master the key concepts of data management, from life cycle stages to security and governance.

• 基本的技能水平
• 4.6+
• 1.1K

Discover how to make better business decisions by applying practical data frameworks—no coding required.

• 基本的技能水平
• 4.5+
• 1.1K

Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.

• 基本的技能水平
• 4.7+
• 1K

Learn vibe coding with Replit. Build apps like a Typeform clone, and master securing and deploying Replit apps.

• 基本的技能水平
• 4.6+
• 979

Learn how to use GPT tools responsibly and confidently. Discover how these tools work and techniques for writing prompts and evaluating outputs.

• 先进的技能水平
• 4.6+
• 943

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

• 基本的技能水平
• 4.7+
• 921

Discover how Marketing Analysts use data to understand customers and drive business growth.

• 基本的技能水平
• 4.6+
• 900

Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.

• 基本的技能水平
• 4.6+
• 853

Practice data storytelling using real-world examples! Communicate complex insights effectively with a dataset of certified green businesses.

• 基本的技能水平
• 4.7+
• 822

Learn AI governance with Collibra. Build, embed, and scale responsible AI using tools, frameworks, and MLOps workflows.

• 基本的技能水平
• 4.6+
• 755

Get your AI Act together! Understand the obligations, risks, and requirements of the EU AI Act.

• 基本的技能水平
• 4.5+
• 683

Master strategic data management for business excellence.

• 基本的技能水平
• 4.8+
• 619

Learn essential finance math skills with practical Excel exercises and real-world examples.

• 基本的技能水平
• 4.7+
• 618

Dive into the world of digital transformation and equip yourself to be an agent of change in a rapidly evolving digital landscape.

• 基本的技能水平
• 4.5+
• 613

Gain a clear understanding of GDPR principles and how to set up GDPR-compliant processes in this comprehensive course.

• 中间的技能水平
• 4.7+
• 607

Boost your coding with Windsurf, the AI-powered IDE that helps you build, debug, and deploy faster.

• 中间的技能水平
• 4.6+
• 528

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.