Data, AI, and Cloud Courses

• BasicSkill Level
• 4.6+
• 56

Scaling with Google Cloud Operations

• BasicSkill Level
• 4.7+
• 54

Write and edit faster with Gemini in Google Docs. Get AI-powered drafting, rewriting, and content suggestions to create clear, polished documents effortlessly.

• BasicSkill Level
• 4.7+
• 54

Analyze data smarter with Gemini in Google Sheets. Use AI-powered insights, formula suggestions, and automation to simplify spreadsheets and boost productivity.

• BasicSkill Level
• 4.2+
• 53

Learn how to visualize big data in R using ggplot2 and trelliscopejs.

• IntermediateSkill Level
• 4.1+
• 53

Predict employee turnover and design retention strategies.

• IntermediateSkill Level
• 4.9+
• 52

Continue learning with purrr to create robust, clean, and easy to maintain iterative code.

• IntermediateSkill Level
• 4.7+
• 52

Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

• BasicSkill Level
• 4.6+
• 51

Create impactful presentations faster with Gemini in Google Slides. Use AI-powered design and suggestions to build professional, engaging slides in minutes.

• BasicSkill Level
• 4.9+
• 50

This course introduces Google’s gen AI applications, such as Google Workspace with Gemini and NotebookLM.

• BasicSkill Level
• 4.8+
• 50

Organize and manage files with Gemini in Google Drive. Use AI-powered search to quickly find information, streamline collaboration, and boost productivity.

• BasicSkill Level
• 4.8+
• 49

Enhance virtual meetings with Gemini in Google Meet. Leverage AI-driven summaries, notes, and tools to make every meeting more efficient and actionable.

• BasicSkill Level
• 4.4+
• 49

Learn strategies for answering probability questions in R by solving a variety of probability puzzles.

• BasicSkill Level
• 4.9+
• 42

You explore the different layers of building gen AI solutions, Google Cloud’s offerings, and the factors to consider when selecting a solution.

• AdvancedSkill Level
• 4.5+
• 38

Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.

• IntermediateSkill Level
• 4.3+
• 30

Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network

• IntermediateSkill Level
• 4.7+
• 29

Take Polars further with text manipulation, rolling statistics, DataFrame joins, and advanced analytics.

• IntermediateSkill Level
• 2

Learn to choose, build with, and secure AWS data stores including DynamoDB and S3 through hands-on console exercises and real-world scenarios.

• IntermediateSkill Level
• 2

Build, deploy, and optimize serverless apps with AWS Lambda. Master event processing, error handling, concurrency, and safe deployments in a live AWS Console.

• IntermediateSkill Level
• 1

This course introduces the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Core Services.

• IntermediateSkill Level
• 1

The goal of this course is to introduce the basics of Google Kubernetes Engine, or GKE, and how to get applications containerized and running in Google Cloud.

• BasicSkill Level
• 1

In this course, you learn to analyze and choose the right database for your needs, to effectively develop applications on Google Cloud.

• IntermediateSkill Level
• 1

This course helps your preparation for the Associate Cloud Engineer exam, learn about the Google Cloud domains in the exam and create a study plan.

• IntermediateSkill Level

This course introduces the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Infrastructure Foundations.

• IntermediateSkill Level

This course introduces solution elements, including networks, load balancing, autoscaling, infrastructure automation and managed services.

• BasicSkill Level

This course introduces the Cloud Run serverless platform for running applications.

• BasicSkill Level

This course, Logging and Monitoring in Google Cloud, covers the operations-focused components including Logging, Monitoring, and Service Monitoring.

• IntermediateSkill Level

Learn to build agentic systems using LangGraph.

• IntermediateSkill Level

Learn to extend your LLM applications with external tools, so your applications can retrieve live data, perform computations, and take real-world actions.

• IntermediateSkill Level

Learn to build knowledge-grounded LLM applications that retrieve relevant information from structured and unstructured sources before generating responses.

• IntermediateSkill Level

Learn to write effective prompts and systematically improve them through evaluation rather than intuition.