Home AI Courses Google Cloud Big Data and ML Fundamentals en Espa�ol

Google Cloud Big Data and ML Fundamentals en Espa�ol

(0 reviews)

Using Google Cloud's advanced tools�learners will acquire the knowledge necessary to develop and execute machine learning models and big data pipelines.

Key AI Functions:big data,bigquery,machine learning,google cloud platform,ai_machine_learning,ai & machine learning

Description

Reviews

Alternative Tools

Description for Google Cloud Big Data and ML Fundamentals en Espa�ol

Features of the Course:

Data-to-AI Lifecycle on Google Cloud: Understand the complete lifecycle of data collection to AI model deployment using Google Cloud's services.
Designing Streaming Pipelines with Dataflow and Pub/Sub: Master the art of designing and managing real-time streaming data pipelines using Google Cloud's Dataflow and Pub/Sub technology.
Analyze Big Data with BigQuery: Become proficient in the analysis of large-scale data using BigQuery to obtain quicker insights using Big Data.
Building Machine Learning Solutions with Vertex AI: Explore a variety of techniques for the development and deployment of machine learning solutions on Google Cloud, utilizing Vertex AI for model development.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by Google Cloud

Duration: 8 hours at your own pace

Schedule: Flexible

Reviews for Google Cloud Big Data and ML Fundamentals en Espa�ol

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Smart Analytics, Machine Learning, and AI on GCP en Espa�ol

Functions, Tools and Agents with LangChain

Structuring Machine Learning Projects

Gen AI: Business Transformation and Career Growth

Alternative Tools for Google Cloud Big Data and ML Fundamentals en Espa�ol

The AI tool empowers non-programmers to construct and deploy AI, featuring data transformation, insights generation, identification of critical drivers, and prediction and forecasting functionalities to enhance business decision-making and planning processes.

#research #marketing

Gen AI for Data Scientists

Utilize generative AI to advance in the field of data science. Develop hands-on generative AI skills that are in high demand to accelerate your data science career in under one month.

#Artificial Intelligence (AI) #Data Science

Intro to Gen AI

Learn to leverage Generative AI for automation, software development, and optimizing outputs with Prompt Engineering.

#Artificial Intelligence (AI) #Python Programming

ML on Google Cloud

Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world

#Tensorflow #Machine Learning

Gen AI in Marketing Specialization

Utilize Generative AI to optimize marketing creativity. Explore the potential of Generative AI to revolutionize and influence your marketing organization.

#Generative AI #Large Language Models

Intro to Gen AI - Art of the Possible

Learn the significance, use cases, history, and pros and cons of generative AI in a business context, with a focus on its relationship to machine learning and services at Amazon.

#Generative AI #Amazon Web Services

Intro to Retrieval Augmented Generation (RAG)

Acquire practical skills to build a generative AI application by constructing a retrieval augmented generation (RAG) system using data, Qdrant, and LLMs.

#Python Programming #Machine Learning

Intro to Vertex AI

The "Introduction to Vertex AI" course provides a four-hour, practical, and fundamental overview of Vertex AI, ideal for professionals and enthusiasts aiming to leverage AI effectively.

#Critical Thinking #MLOps (Machine Learning Operations)

AI and ML Essentials with Python Specialization

Investigate the field of artificial intelligence and machine learning. While investigating the transformative disciplines of artificial intelligence, machine learning, and deep learning, enhance your Python abilities.

#Artificial Intelligence #Python (Programming Language)

Machine Learning with Python

Learn to describe and implement various machine learning algorithms in Python, including classification and regression techniques, and evaluate their performance using appropriate metrics.

#Machine Learning #regression