Corsi su dati, intelligenza artificiale e cloud

• IntermedioLivello di competenza
• 4.8+
• 21 revisioni

Prevedi il turnover dei dipendenti e pensa a delle strategie per farli restare.

• IntermedioLivello di competenza
• 4.7+
• 34 revisioni

Continua a imparare con purrr per creare codice iterativo solido, pulito e facile da mantenere.

• IntermedioLivello di competenza
• 5
• 4 revisioni

Build autonomous Cortex Agents in Snowflake that query structured and unstructured data, then deploy and monitor them.

• IntermedioLivello di competenza
• 4.8+
• 19 revisioni

Impara a prevedere i tassi di clic sugli annunci e a implementare modelli base di Machine Learning in Python per ottimizzare meglio i tuoi annunci.

• IntermedioLivello di competenza
• 4.8+
• 38 revisioni

Impara a creare grafici animati e viste collegate interamente in R con plotly.

• IntermedioLivello di competenza
• 4.7+
• 8 revisioni

Design and operate batch data pipelines on Google Cloud using Dataflow, Serverless Spark, Cloud Composer, and data validation techniques.

• IntermedioLivello di competenza
• 4.8+
• 8 revisioni

Master Apache Beam and Dataflow foundations including portability, Runner v2, Shuffle Service, Streaming Engine, IAM, quotas, and security.

• IntermedioLivello di competenza
• 4.8+
• 7 revisioni

Explore streaming data architectures on Google Cloud with Pub/Sub, Managed Kafka, Dataflow, and BigQuery for real-time data processing.

• IntermedioLivello di competenza
• 4.7+
• 7 revisioni

Deploy and manage Kubernetes workloads on GKE. Cover networking, deployments, jobs, persistent storage, and data management in production environments.

• IntermedioLivello di competenza
• 4.6+
• 6 revisioni

Secure and monitor GKE production environments. Learn access control, logging, monitoring, CI/CD pipelines, and managed storage integration on Google Cloud.

• IntermedioLivello di competenza
• 4.7+
• 9 revisioni

Work with Gemini AI models in BigQuery for sentiment analysis. Analyze customer reviews using SQL and Python notebooks with Gemini.

• IntermedioLivello di competenza
• 4.8+
• 32 revisioni

Impara a prevedere le etichette dei nodi nelle reti usando lapprendimento di rete ed estraendo caratteristiche descrittive dalla rete.

• IntermedioLivello di competenza
• 5
• 2 revisioni

Build production-ready Apache Iceberg lakehouses: model, migrate, and maintain tables at scale.

• IntermedioLivello di competenza
• 4.6+
• 143 revisioni

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

• IntermedioLivello di competenza
• 4.6+
• 60 revisioni

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

• IntermedioLivello di competenza
• 4.6+
• 46 revisioni

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

• IntermedioLivello di competenza
• 4.6+
• 33 revisioni

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

• IntermedioLivello di competenza
• 4.6+
• 57 revisioni

Learn to systematically measure and improve LLM application quality.

• IntermedioLivello di competenza
• 4.4+
• 46 revisioni

Learn to build agentic systems using LangGraph.