Google Cloud Topics

Learn about AIOps, the application of artificial intelligence to automate and streamline complex IT operations.

Learn about agentic AI, an autonomous AI system that can perceive, plan, and act to achieve specific set goals.

Learn about what an AI model is, it's use cases and benefits.

Learn about convolutional neural networks, a class of deep neural networks, most commonly applied to analyzing and processing images.

Learn about entity extraction, the NLP task of identifying and classifying named entities like people and places in text.

Learn about federated learning, a decentralized ML technique that trains a model across devices while keeping data local.

Learn about foundation models, large-scale AI models trained on vast data that can be adapted for many specific tasks.

Learn about generative adversarial networks, AI systems with two competing neural nets, a generator and a discriminator, to make data.

Learn about model context protocol, a set of rules or standards governing how information (the "context") is provided to and managed by an AI model.

Learn about reinforcement learning, an AI training method where an agent learns via trial and error using rewards & penalties.

Learn about robotic process automation, a technology that uses software "bots" or scripts to mimic and automate repetitive, rule-based human tasks on a computer.

Learn about stemming, an NLP process of reducing inflected words down to their common base or root form (stem).

Learn about what vibe coding is, it's use cases and benefits.

Learn about multi-agent systems, a computerized system composed of multiple interacting, intelligent agents.

Learn about generative pre-trained transformers (GPTs), including how they work and how they're trained.

Learn about the applications of artificial intelligence in various industries.

Learn about artificial intelligence benefits, use cases, and examples.

Learn about artificial general intelligence (AGI) and its use cases.

Learn about the differences between AI and ML and how they're connected.

Learn what AI agents are including key features, benefits, and how they work.

Learn more about AI chatbots and their common use cases.

Learn about AI code generation including what it is, and how to use it.

Learn about AI data analytics including what it is, how AI can be used in data analytics.

Learn more about how AI is used in the banking industry.

Learn about AI for developers including what the benefits are and use cases.

Learn how AI is being used in the finance industry.

Learn how AI is being used in the healthcare industry.

Learn about AI hallucinations, how they happen, and ways to prevent them.

Learn about AI summarization including what it is, its benefits, and how to use it.

Learn about cognitive computing including how it works and its benefits.

Learn about conversational AI including what it is, how it works, and use cases.

Learn about data labeling, including its importance and how it works.

Learn about deep learning, how it works, its applications, algorithms, and more.

Learn about the differences between deep learning, machine learning, and AI.

Learn about enterprise AI, including its advantages and how to implement it.

Learn about full-text search including how it works, benefits, and how to implement it.

Learn about fuzzy search including how it works, examples, and how to implement it.

Learn about generative AI, how it works, and its use cases, including with Google Cloud.

Learn about GPUs and their importance in artificial intelligence.

Learn more about human-in-the-loop (HITL) and why it's important.

Learn about Kubeflow, what it's used for, and its benefits.

Learn about LangChain, how it works, and examples of LangChain.

Learn about large language models—how they work, benefits, use cases, and more.

Learn about large language model operations (LLMOps), its benefits, and best practices.

Learn about machine learning including how it works, the different types, and its uses.

Learn about machine learning operations (MLOps) and why it's important.

Learn about multimodal models in AI and how to use them.

Learn how NLP provides insights into the structure and meaning of text.

Learn about neural networks including the different types and their uses.

Learn about OCR and how it's being used with Google AI.

Learn about prompt engineering, the types of prompts, and prompt engineering use cases.

Learn about retrieval-augmented generation (RAG), how it works, and its advantages.

Learn about semantic search including how it works and how it can be used.

Learn about the differences between supervised and unsupervised learning with AI and ML.

Learn how supervised learning helps AI and ML models learn from labeled data.

Learn about text-to-image AI including what it is, how it works, and use cases.

Learn how to model historical time-series data to make predictions about future time points.

Learn more about how unsupervised learning works with ML models and unlabeled data.

Learn about common use cases of AI inference, AI using its training to make predictions.

Learn more Kubernetes clusters, a group of nodes for containerized apps.

Learn about what an application platform is and it's different types.

Learn about API development, the process of building and maintaining Application Programming Interfaces (APIs).

API management helps organizations with developing, designing, monitoring, testing, securing, and analyzing APIs.

Learn about the use case cases of batch inferencing, asynchronous processing of data batches.

Learn about the value of FinOps, the five key building blocks of cloud FinOps, and the benefits.

Learn about containers—lightweight packages of software that contain all of the necessary elements to run in any environment.

Learn about Containers as a service (CaaS), a cloud service model that provides a managed and automated platform for container orchestration.

Learn about how containerization bundles app code for easy development.

Learn about containerized applications including the benefits and how the technology works.

Learn more about how container orchestration can help deploy, scale, and manage applications.

Learn more about event-driven architecture, an architecture based on decoupled services.

Learn about a hybrid cloud approach where applications or their components run in a combination of on-premises and public cloud infrastructure.

Learn about Istio and how it helps organizations run distributed, microservices-based apps anywhere.

Learn about Kubernetes (K8s), an open source system to deploy, scale, and manage containerized applications anywhere.

Learn about legacy modernization, the process of updating, replacing, or consolidating outdated computer systems, software, and applications (legacy systems) with modern, more efficient alternatives.

Learn about low code, a software development with minimal coding.

Learn about OpenTelemetry, software and tools for capturing and exporting telemetry data from your cloud-native software and infrastructure.

Discover more about private clouds and the major differences versus public clouds, advantages, disadvantages, and more.

Learn about what a public cloud is, and the difference between a public and private cloud.

Learn about python hosting, a server environment for Python code.

Learn more about serverless computing, how it works, examples, and advantages versus disadvantages.

Learn about the key differences between containers and virtual machines.

Learn about the open source monitoring and alerting toolset primarily used for Kubernetes applications.

Learn how cloud computing solves issues by offering scalable and on-demand services. Learn about the types and benefits of cloud computing.

Learn more about the advantages and disadvantages of cloud computing.

Learn about the types of cloud service providers, examples, benefits, and how to choose a cloud service provider that works for you.

Learn more about cloud management, how it works, and the role cloud management plays.

Learn more about what it means to become "cloud native."

Learn about business digital transformation for business processes, culture, and customer experience.

Learn about the different types of cloud computing models, the types of cloud computing services, and how they differ.

Learn about high performance computing and how it's used.

Learn how microservices architecture allows large applications to be separated into single services that are developed, deployed, and maintained independently.

Learn about multicloud, its benefits, challenges, multicloud management, use cases, and more.

Learn about virtual private servers, how they work, and the difference between a VPS and a dedicated server.

Learn the basics of Apache Hadoop, including what it is, how it’s used, and what advantages it brings to big data environments.

Learn about apache iceberg, an open source format for large analytic tables.

Learn about Apache Kafka, a platform for collecting, processing, and storing streaming data.

Learn about Apache Spark, an analytics engine for large-scale data processing.

Learn about big data with an overview, characteristics, and examples.

Learn about business intelligence (BI), the process of analyzing company data to improve operations.

Learn about cloud analytics including how it works and the different types available.

Learn about how a data cloud works to provides an open, cloud-based data infrastructure.

Learn about data governance—the practice of making data secure, accurate, and available.

Learn about data integration—the process of unifying data from different sources into a more useful view.

Learn how data lakes store, process, and secure large amounts of data.

Learn about data lakehouses, how they work, and some of the benefits of using one.

Learn about data warehouses (DW), which are systems for data analysis and reporting.

Discover more about data warehouse as a service offerings, benefits, and more.

Learn about ELT, a data integration process for, extracting, loading, and transforming.

Learn how ETL lets companies convert structured and unstructured data to drive business decisions.

Learn how predictive analytics uses data, statistics, modeling, and machine learning to help predict and plan for future events, or find opportunities.

Learn how Presto, an open source distributed SQL query engine created by Facebook developers, runs interactive analytics against large volumes of data.

Learn about streaming analytics, which processes and analyzes data from sources that continuously send data.

Learn how to model historical time-series data in order to make predictions about future time points and common use cases.

Learn about the key differences between PostgreSQL and SQL Server, the pros and cons of each, and which one may be the right fit for your project.

Learn about the different types of cloud databases, and how they're used in cloud computing.

Learn about data and database migrations including the different types and how they work.

Learn about managed database services including the basics, the benefits, and how to choose one.

Learn about MySQL and its benefits and use cases.

Learn more about NoSQL databases, how they work, and advantages versus disadvantages.

Learn about PostgreSQL including what it is, benefits, and use cases.

Learn about Redis including its definition, benefits, and use cases.

Learn about relational databases, the relational database model, its benefits, and examples.

Learn about SQL and SQL databases including definitions, benefits, and use cases.

Learn about transactional databases and their benefits.

Learn how vector databases store and query vector embeddings to enable efficient similarity search and build generative AI applications.

Learn about arm based processors and how they can be an energy efficient CPU architecture.

Learn about binary large object storage, a method for storing large amounts of unstructured data—such as images, videos, audio files, and backups—as single objects (blobs) in a database.

Learn about how cloud architecture works, its components, layers, and more.

Learn about cloud hosting, how it works, and how it differs from web hosting and VPS.

Learn more about the types of cloud migration, how it works, and the benefits of migrating to the cloud.

Learn about cloud storage as a service, a business model where a cloud provider rents data storage to users over the internet.

Learn about Iaas (infrastructure as a service), a computing model that offers resources on demand to businesses and individuals using the cloud.

Learn about load balancing in the cloud, how it works, common uses, and more.

Learn how PaaS solutions work, their benefits, and the differences between PaaS, IaaS, and SaaS.

Learn the differences between the PaaS, IaaS, SaaS, and CaaS cloud computing models.

Learn about SaaS including definition, how it works and why it's important.

Learn about serverless architecture including how it works and examples of serverless architecture.

Learn about how video on demand distribution systems and infrastructure help to deliver on-demand streaming globally.

Learn how virtual machines (VM) run programs and operating systems, store data, connect to networks, and more.

Learn about virtual servers, how they re-create the functionality of a physical server, and how they are configured so that multiple users can share their processing power.

Learn about virtual hosting, a method that allows a single physical server to host multiple websites.

Learn about cloud security, why it's important, how it works, and the most common cloud security strategies.

Learn how cloud data security measures help to protect and secure data as it moves in and out of the cloud.

Learn how cloud network security measures are used to protect public, private, and hybrid cloud networks.

Learn about disaster recovery and how Google Cloud covers cost, recovery, and scale, with disaster recovery as a service (DRaaS).

Learn about the different types of encryption, how it works, the importance of data encryption, and more.

Learn more about the zero-trust security model, how it works, and why you may want to use a zero-trust model.