Ai & Machine Learning

Google Cloud Big Data and ML Fundamentals en Francais

(0 reviews)
Share icon
Coursera

Learners will have the ability to utilize Vertex AI to develop machine learning models and big data pipelines on Google Cloud.

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

Description for Google Cloud Big Data and ML Fundamentals en Francais

Features of the Course:

  • Data-to-AI Lifecycle on Google Cloud: Gain an understanding of the complete lifecycle, from data acquisition to the deployment of an AI model, through the use of Google Cloud services.

  • Understanding the Design and Management of Real-Time Data Streaming Pipelines with Dataflow and Pub/Sub: Develop an understanding of the development and operation of real-time data streaming pipelines using Dataflow and Pub/Sub.

  • Analyzing Big Data with BigQuery: Develop the ability to efficiently analyze large-scale datasets using BigQuery.

  • Developing Machine Learning Solutions with Vertex AI: Investigate the various methods of generating machine learning models on Google Cloud with Vertex AI.

Level: Intermediate

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by Google Cloud

Duration: 3 weeks at 3 hours a week

Schedule: Flexible

Reviews for Google Cloud Big Data and ML Fundamentals en Francais

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Alternative Tools for Google Cloud Big Data and ML Fundamentals en Francais

icon
Paid

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
icon

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
icon

This learning path provides a thorough overview of generative AI. This specialization delves into the ethical considerations that are essential for the responsible development and deployment of AI, as well as the foundations of large language models (LLMs) and their diverse applications.

#Generative AI #Large Language Models
icon

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

#Artificial Intelligence (AI) #Python Programming
icon

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

#Tensorflow #Machine Learning
icon

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
icon

Learn how to use Gemini for Google Workspace to boost productivity and efficiency in Gmail through its generative AI features.

#AI Assitant #Gemini
icon

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
icon

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
icon

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)
icon