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Data, AI, and Cloud Courses

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27 Courses

Course

Gen AI: Beyond the Chatbot

  • BasicSkill Level
  • 4.7+
  • 337

This course aims to move beyond the basic understanding of chatbots to explore the true potential of generative AI for your organization.

Cloud

2 hours

Course

Digital Transformation with Google Cloud

  • BasicSkill Level
  • 4.8+
  • 330

This course provides an overview of the opportunities and challenges companies encounter in their digital transformation journey.

Cloud

2 hours

Course

Gen AI Agents: Transform Your Organization

  • BasicSkill Level
  • 4.7+
  • 302

This course explores how organizations can use custom gen AI agents to help tackle specific business challenges.

Cloud

1 hour

Course

Create Engaging Video with Google Vids

  • BasicSkill Level
  • 4.7+
  • 292

Create and refine videos faster with Gemini in Google Vids. Use AI-powered storyboarding and content generation to produce polished videos with ease.

Cloud

1 hour

Course

Exploring Data Transformation with Google Cloud

  • BasicSkill Level
  • 4.8+
  • 243

Exploring Data Transformation with Google Cloud

Cloud

1 hour

Course

Innovating with Google Cloud AI

  • BasicSkill Level
  • 4.8+
  • 231

Innovating with Google Cloud AI

Cloud

1 hour

Course

Gen AI Apps: Transform Your Work

  • BasicSkill Level
  • 4.7+
  • 229

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

Cloud

1 hour

Course

Preparing for Your Associate Cloud Engineer Journey

  • IntermediateSkill Level
  • 4.6+
  • 180

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.

Cloud

1 hour

Course

Gen AI: Unlock Foundational Concepts

  • BasicSkill Level
  • 4.8+
  • 172

You unlock the foundational concepts of generative AI by exploring the differences between AI, ML, and gen AI.

Cloud

2 hours

Course

Gen AI: Navigate the Landscape

  • BasicSkill Level
  • 4.7+
  • 157

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

Cloud

1 hour

Course

Trust and Security with Google Cloud

  • BasicSkill Level
  • 4.8+
  • 154

Trust and Security with Google Cloud

Cloud

1 hour

Course

Modernize Infrastructure and Applications with Google Cloud

  • BasicSkill Level
  • 4.8+
  • 146

Modernize Infrastructure and Applications with Google Cloud

Cloud

1 hour

Course

Scaling with Google Cloud Operations

  • BasicSkill Level
  • 4.7+
  • 78

Scaling with Google Cloud Operations

Cloud

1 hour

Course

Essential Google Cloud Infrastructure: Foundation

  • IntermediateSkill Level
  • 4.8+
  • 67

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

Cloud

5 hours

Course

Google: Enterprise Agents and Use Cases

  • BasicSkill Level
  • 4.8+
  • 52

Map agent types to your KPIs and explore use cases that solve problems, learn how Gemini Enterprise empowers you to build and orchestrate the right agents.

Cloud

1 hour

Course

Essential Google Cloud Infrastructure: Core Services

  • IntermediateSkill Level
  • 4.9+
  • 28

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

Cloud

4 hours

Course

Elastic Google Cloud Infrastructure: Scaling and Automation

  • IntermediateSkill Level
  • 4.8+
  • 28

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

Cloud

5 hours

Course

Getting Started with Google Kubernetes Engine

  • IntermediateSkill Level
  • 4.7+
  • 28

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.

Cloud

5 hours

Course

Select a Google Cloud Database for Your Applications

  • BasicSkill Level
  • 4.7+
  • 27

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

Cloud

3 hours

Course

Developing Applications with Cloud Run on Google Cloud: Fundamentals

  • BasicSkill Level
  • 4.7+
  • 22

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

Cloud

4 hours

Course

Observability in Google Cloud

  • BasicSkill Level
  • 4.8+
  • 19

This course is all about application performance management tools, including Error Reporting, Cloud Trace, and Cloud Profiler.

Cloud

5 hours

Course

Google DeepMind: Build Your Own Small Language Model

  • IntermediateSkill Level
  • 4.0+
  • 18

In this Google DeepMind course, you will learn the fundamentals of language models and gain a high-level of machine learning development pipelines.

Cloud

6 hours

Course

Logging and Monitoring in Google Cloud

  • BasicSkill Level
  • 4.9+
  • 16

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

Cloud

5 hours

Course

Google DeepMind: Fine-Tune Your Model

  • IntermediateSkill Level
  • 5.0+
  • 7

Unleash the power of language models with fine-tuning. In this course, you will learn how to adjust a pre-trained model to a specific task.

Cloud

8 hours

FAQs

What is data science?

Data science is an area of expertise focused on gaining information from data. Using programming skills, scientific methods, algorithms, and more, data scientists analyze data to form actionable insights.

How can I learn data science?

You’ll need to learn a programming language such as Python or R and master the principles of math and statistics. Knowledge of data analysis methods and data science tools is also essential. There are many ways to learn data science. As well as formal means of education, such as a degree or university study, there are plenty of other resources to help you learn at your own pace. As well as online courses and tutorials, there are books, videos, and more.

What skills are required for data science?

As well as knowledge of mathematics and statistics, data scientists need programming skills in languages such as Python, R, and SQL. Additionally, data science requires the ability to work with large data sets, knowledge of data visualization, data wrangling, and database management. Skills in machine learning and deep learning can also be useful.

What can I use data science for?

In a professional capacity, almost every industry can use data science to some degree. Healthcare organizations use data science to detect and cure diseases, while finance companies use it to detect and prevent fraud. All kinds of industries use data science for marketing, such as building recommendation systems and analyzing customer churn.

Is data science a good career?

Yes, data science is among the fastest-growing sectors in the US and worldwide. It’s also one of the best-paid careers out there. According to data from Payscale, experience data scientists earn an average of $97,609 and have a satisfaction rating of four stars out of five in the US.

Is it difficult to become a data scientist?

There are a few things to consider here. First, data science degrees can be competitive to get onto, often requiring consistently high grades. Similarly, many of the skills required for data science require a lot of study and patience. It can take several months to master all of the necessary basics, as well as a lot of practical experience to secure an entry-level position.

Does data science require coding?

Yes, you’ll need some coding experience in languages such as Python, R, SQL, Java, and C/C++. However, due to its relatively simple syntax, Python programming language is often the preferred choice among newcomers.

How long does it take to become a data scientist?

For a person with no prior coding experience and/or mathematical background, it can typically take 7 to 12 months of intensive studies to be at the level of an entry-level data scientist. However, it is important to remember that learning only the theoretical basis of data science may not make you a real data scientist.

What topics can I study within data science?

Once you’ve mastered the foundations of data science, you can then specialize in a variety of areas, including machine learning, artificial intelligence, big data analysis, business analytics and intelligence, data mining, and more.