Veri, Yapay Zeka ve Bulut Kursları

• Orta SeviyeBeceri Seviyesi
• 4.8+
• 21 inceleme

Predict employee turnover and design retention strategies.

• Orta SeviyeBeceri Seviyesi
• 4.7+
• 34 inceleme

Continue learning with purrr to create robust, clean, and easy to maintain iterative code.

• Orta SeviyeBeceri Seviyesi
• 5
• 4 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.8+
• 19 inceleme

Learn how to predict click-through rates on ads and implement basic machine learning models in Python so that you can see how to better optimize your ads.

• Orta SeviyeBeceri Seviyesi
• 4.8+
• 38 inceleme

Plotly ile tamamen Rda animasyonlu grafikler ve bağlantılı görünümler oluşturmayı öğrenin.

• Orta SeviyeBeceri Seviyesi
• 4.7+
• 8 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.8+
• 8 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.8+
• 7 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.7+
• 7 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.6+
• 6 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.7+
• 9 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.8+
• 32 inceleme

Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network

• Orta SeviyeBeceri Seviyesi
• 5
• 2 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.6+
• 143 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.6+
• 60 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.6+
• 46 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.6+
• 33 inceleme

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

• Orta SeviyeBeceri Seviyesi
• 4.6+
• 57 inceleme

Learn to systematically measure and improve LLM application quality.

• Orta SeviyeBeceri Seviyesi
• 4.4+
• 46 inceleme

Learn to build agentic systems using LangGraph.