डेटा, AI, और क्लाउड पाठ्यक्रम

• मध्यमकौशल स्तर
• 4.8+
• 78

This course introduces the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Infrastructure Foundations.

• मध्यमकौशल स्तर
• 4.9+
• 75

Learn to build simple models of market response to increase the effectiveness of your marketing plans.

• मध्यमकौशल स्तर
• 4.9+
• 70

Learn to rapidly visualize and explore demographic data from the United States Census Bureau using tidyverse tools.

• मध्यमकौशल स्तर
• 4.7+
• 66

Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

• मध्यमकौशल स्तर
• 4.8+
• 62

Learn how to perform advanced dplyr transformations and incorporate dplyr and ggplot2 code in functions.

• मध्यमकौशल स्तर
• 5.0+
• 60

In this Google DeepMind course, you will learn the fundamentals of language models and gain a high-level of machine learning development pipelines.

• मध्यमकौशल स्तर
• 4.9+
• 60

Use C++ to dramatically boost the performance of your R code.

• मध्यमकौशल स्तर
• 4.9+
• 59

Learn defensive programming in R to make your code more robust.

• मध्यमकौशल स्तर
• 4.8+
• 59

Master data visualization in Julia. Learn how to make stunning plots while understanding when and how to use them.

• मध्यमकौशल स्तर
• 4.7+
• 58

Learn how to identify important drivers of demand, look at seasonal effects, and predict demand for a hierarchy of products from a real world example.

• मध्यमकौशल स्तर
• 4.8+
• 57

Learn statistical tests for identifying outliers and how to use sophisticated anomaly scoring algorithms.

• मध्यमकौशल स्तर
• 4.9+
• 56

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.

• मध्यमकौशल स्तर
• 4.8+
• 49

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

• मध्यमकौशल स्तर
• 4.8+
• 47

Predict employee turnover and design retention strategies.

• मध्यमकौशल स्तर
• 4.8+
• 47

Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.

• मध्यमकौशल स्तर
• 5.0+
• 38

This course introduces solution elements, including networks, load balancing, autoscaling, infrastructure automation and managed services.

• मध्यमकौशल स्तर
• 4.8+
• 36

The goal of this course is to introduce the basics of Google Kubernetes Engine, or GKE, and how to get applications containerized and running in Google Cloud.

• मध्यमकौशल स्तर
• 4.9+
• 32

This course introduces the comprehensive and flexible infrastructure and platform services provided by Google Cloud with a focus on Core Services.

• मध्यमकौशल स्तर
• 4.8+
• 32

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

• मध्यमकौशल स्तर
• 5.0+
• 28

In this Google DeepMind course you will discover the mechanisms of the transformer architecture.

• मध्यमकौशल स्तर
• 5.0+
• 20

Unleash the power of language models with fine-tuning. In this course, you will learn how to adjust a pre-trained model to a specific task.

• मध्यमकौशल स्तर
• 5.0+
• 19

n this Google DeepMind course you will focus on the training process for machine learning models.

• मध्यमकौशल स्तर
• 5.0+
• 18

In this Google DeepMind course you will learn how to prepare text data for language models to process.

• मध्यमकौशल स्तर
• 4.7+

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

• मध्यमकौशल स्तर
• 4.6+

Learn to build agentic systems using LangGraph.

• मध्यमकौशल स्तर
• 4.6+

Learn to systematically measure and improve LLM application quality.

• मध्यमकौशल स्तर
• 4.6+

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

• मध्यमकौशल स्तर
• 4.6+

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

• मध्यमकौशल स्तर
• 4.4+

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