Cloud
Data, AI, and Cloud Courses
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771 Courses
Course
Gemini for end-to-end SDLC
- IntermediateSkill Level
- 5
- 4 reviews
With help from Gemini, you learn how to develop and build a web application, fix errors in the application, develop tests, and query data.
Cloud
Course
Gemini for Application Developers
- IntermediateSkill Level
- 5
- 8 reviews
You learn how to prompt Gemini to explain code, recommend Google Cloud services, and generate code for your applications.
Cloud
Course
Responsible AI for Developers: Interpretability & Transparency
- IntermediateSkill Level
- 5
- 6 reviews
It discusses the importance of AI transparency for developers and engineers.
Cloud
Course
AI Infrastructure: Deployment Types
- IntermediateSkill Level
- 5
- 4 reviews
A guide to deploying, managing, and optimizing AI and high-performance computing (HPC) workloads on Google Cloud.
Cloud
Course
Predictive Analytics using Networked Data in R
- IntermediateSkill Level
- 4.8+
- 32 reviews
Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network
Probability & Statistics
Course
Case Studies: Network Analysis in R
- BasicSkill Level
- 4.7+
- 44 reviews
Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.
Probability & Statistics
Course
Developing Applications with Cloud Run Functions on Google Cloud
- IntermediateSkill Level
- 5
- 7 reviews
Cloud Run functions is Googles serverless, fully-managed functions as a service (FaaS) product.
Cloud
Course
Streamline App Development with Gemini Code Assist
- IntermediateSkill Level
- 5
- 5 reviews
This course introduces you to the core features and functionalities of Gemini Code Assist, an AI-powered app development collaborator for Google Cloud.
Cloud
Course
Developing Containerized Applications on Google Cloud
- IntermediateSkill Level
- 5
- 6 reviews
Learn about creating and securing containers, and Google Kubernetes Engine for application developers.
Cloud
Course
Put It All Together: Prepare for a Cloud Security Analyst Job
- IntermediateSkill Level
- 5
- 3 reviews
In this course, you’ll combine and apply key concepts such as cloud security principles, risk management, and more in an interactive capstone project.
Cloud
Course
Website Modernization with Generative AI on Google Cloud
- IntermediateSkill Level
- 5
- 4 reviews
Use Agent Search on Gemini Enterprise Agent Platform to provide your website users a generative search experience.
Cloud
Course
Service Orchestration and Choreography on Google Cloud
- IntermediateSkill Level
- 5
- 5 reviews
This course introduces you to event-based applications and teaches you how to use service orchestration and choreography to coordinate microservices.
Cloud
Course
LLM Application Fundamentals with LangChain
- IntermediateSkill Level
- 4.6+
- 197 reviews
Learn to build conversational LLM applications — with reliable structured output, persistent conversation history, and real-time streaming.
Artificial Intelligence
Course
AI Safety and Ethics
- BasicSkill Level
- 5
- 15 reviews
Develop the judgment to use AI safely, ethically, and responsibly in your work.
Artificial Intelligence
Course
Retrieval-Augmented Generation with LangChain
- IntermediateSkill Level
- 4.7+
- 55 reviews
Learn to build knowledge-grounded LLM applications that retrieve relevant information from structured and unstructured sources before generating responses.
Artificial Intelligence
Course
LLM Tool Use with LangChain
- IntermediateSkill Level
- 4.6+
- 41 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
Course
LLM Application Evaluation with LangSmith
- IntermediateSkill Level
- 4.6+
- 68 reviews
Learn to systematically measure and improve LLM application quality.
Artificial Intelligence
Course
Prompt Engineering with LangChain
- IntermediateSkill Level
- 4.5+
- 76 reviews
Learn to write effective prompts and systematically improve them through evaluation rather than intuition.
Artificial Intelligence
Course
Agentic Systems with LangGraph
- IntermediateSkill Level
- 4.4+
- 60 reviews
Learn to build agentic systems using LangGraph.
Artificial Intelligence
Course
Token Cost Management for Everyone
- BasicSkill Level
- 4+
- 1 review
Understand what drives the cost of every AI conversation, and build habits that get more out of your plan without giving up quality.
Artificial Intelligence
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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