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Data, AI, and Cloud Courses

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771 Courses

Course

Website Modernization with Generative AI on Google Cloud

  • IntermediateSkill Level

Use Agent Search on Gemini Enterprise Agent Platform to provide your website users a generative search experience.

Cloud

2 hours

Course

Create Generative AI Apps on Google Cloud

  • IntermediateSkill Level

Learn about Gen AI applications and how you can use prompt design and retrieval augmented generation (RAG) to build powerful applications using LLMs.

Cloud

4 hours

Course

AI Infrastructure: Deployment Types

  • IntermediateSkill Level

A guide to deploying, managing, and optimizing AI and high-performance computing (HPC) workloads on Google Cloud.

Cloud

1 hour 30 min

Course

Model Armor: Securing AI Deployments

  • IntermediateSkill Level

This course reviews the essential security features of Model Armor and equips you to work with the service.

Cloud

2 hours 30 min

Course

AI Infrastructure: Cloud GPUs

  • IntermediateSkill Level

Well explore how CPUs, GPUs, and TPUs make AI tasks super fast, what makes each one unique, and how AI software gets the most out of them.

Cloud

1 hour

Course

Gemini for Application Developers

  • IntermediateSkill Level

You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications.

Cloud

1 hour 30 min

Course

LLM Application Fundamentals with LangChain

  • IntermediateSkill Level
  • 4.6+
  • 162 reviews

Learn to build conversational LLM applications — with reliable structured output, persistent conversation history, and real-time streaming.

Artificial Intelligence

AI Tutor

3 hours

Course

AI Safety and Ethics

  • BasicSkill Level
  • 5
  • 1 review

Develop the judgment to use AI safely, ethically, and responsibly in your work.

Artificial Intelligence

AI Tutor

1 hour 30 min

Course

Retrieval-Augmented Generation with LangChain

  • IntermediateSkill Level
  • 4.6+
  • 51 reviews

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

Artificial Intelligence

AI Tutor

2 hours

Course

LLM Tool Use with LangChain

  • IntermediateSkill Level
  • 4.6+
  • 38 reviews

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

Artificial Intelligence

AI Tutor

3 hours

Course

Prompt Engineering with LangChain

  • IntermediateSkill Level
  • 4.6+
  • 71 reviews

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

Artificial Intelligence

AI Tutor

2 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.

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