Perform Foundational Data ML and AI Tasks in Google Cloud faq

learnersLearners: 56
instructor Instructor: / instructor-icon
duration Duration: 6.00 duration-icon

Learn the basics of Perform Foundational Data ML and AI Tasks in Google Cloud

ADVERTISEMENT

Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Qwiklabs

certificateCertificate:

Free Certification

languageLanguage:

English

start dateStart Date:

On-Demand

Course Overview

❗The content presented here is sourced directly from Qwiklabs platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [May 19th, 2023]

This course provides an overview of the Perform Foundational Data, ML, and AI Tasks quest. Participants will learn the basic features of BigQuery, Cloud Speech AI, Cloud Natural Language API, AI Platform, Dataflow, Cloud Dataprep by Trifacta, Dataproc, and Video Intelligence API. Upon completion of the course, participants will be able to demonstrate their proficiency with Google Cloud products and services and apply their knowledge in an interactive hands-on environment. The course culminates with a final assessment challenge lab, upon successful completion of which participants will receive a skill badge that they can share with their network.

[Applications]
Upon completion of this course, learners will be able to apply their knowledge of Google Cloud's machine learning and AI technologies to their own projects. They will be able to use BigQuery, Cloud Speech AI, Cloud Natural Language API, AI Platform, Dataflow, Cloud Dataprep by Trifacta, Dataproc, and Video Intelligence API to create and deploy machine learning and AI models. Learners will also be able to share their skill badge with their network, demonstrating their proficiency with Google Cloud products and services.

[Career Paths]
1. Data Scientist: Data Scientists use their knowledge of machine learning and AI to analyze large datasets and develop predictive models. They are responsible for creating algorithms and models to identify patterns and trends in data, and use this information to make decisions and recommendations. With the increasing demand for data-driven insights, Data Scientists are in high demand and the field is expected to continue to grow.

2. Machine Learning Engineer: Machine Learning Engineers are responsible for developing and deploying machine learning models. They use their knowledge of machine learning and AI to design, build, and maintain machine learning systems. They are also responsible for optimizing and improving existing models. As the demand for machine learning solutions continues to grow, the demand for Machine Learning Engineers is expected to increase.

3. AI Developer: AI Developers are responsible for developing and deploying AI applications. They use their knowledge of machine learning and AI to design, build, and maintain AI systems. They are also responsible for optimizing and improving existing AI applications. As the demand for AI solutions continues to grow, the demand for AI Developers is expected to increase.

4. Cloud Engineer: Cloud Engineers are responsible for managing and maintaining cloud-based systems. They use their knowledge of machine learning and AI to design, build, and maintain cloud-based systems. They are also responsible for optimizing and improving existing cloud-based systems. As the demand for cloud-based solutions continues to grow, the demand for Cloud Engineers is expected to increase.

[Education Paths]
1. Bachelor's Degree in Computer Science: A Bachelor's Degree in Computer Science is a great way to gain the foundational knowledge and skills needed to work with data, ML, and AI technologies. This degree program typically covers topics such as programming, algorithms, data structures, software engineering, and computer architecture. Additionally, many programs offer courses in machine learning, artificial intelligence, and data science. With the increasing demand for data-driven solutions, a Bachelor's Degree in Computer Science is a great way to stay ahead of the curve.

2. Master's Degree in Data Science: A Master's Degree in Data Science is a great way to gain advanced knowledge and skills in data analysis, machine learning, and artificial intelligence. This degree program typically covers topics such as data mining, predictive analytics, data visualization, and natural language processing. Additionally, many programs offer courses in deep learning, reinforcement learning, and big data. With the increasing demand for data-driven solutions, a Master's Degree in Data Science is a great way to stay ahead of the curve.

3. Master's Degree in Artificial Intelligence: A Master's Degree in Artificial Intelligence is a great way to gain advanced knowledge and skills in artificial intelligence and machine learning. This degree program typically covers topics such as robotics, computer vision, natural language processing, and machine learning. Additionally, many programs offer courses in deep learning, reinforcement learning, and big data. With the increasing demand for AI-driven solutions, a Master's Degree in Artificial Intelligence is a great way to stay ahead of the curve.

4. Doctoral Degree in Machine Learning: A Doctoral Degree in Machine Learning is a great way to gain advanced knowledge and skills in machine learning and artificial intelligence. This degree program typically covers topics such as supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing. Additionally, many programs offer courses in big data, data mining, and predictive analytics. With the increasing demand for AI-driven solutions, a Doctoral Degree in Machine Learning is a great way to stay ahead of the curve.

Course Syllabus

AI Platform: Qwik Start

In this lab you train and deploy a TensorFlow model to AI Platform for serving (prediction). Watch these short videos Harness the Power of Machine Learning with AI Platform and AI Platform: Qwik Start - Qwiklabs Preview.

Dataprep: Qwik Start

Google Cloud Dataprep is an intelligent data service for visually exploring, cleaning, and preparing data for analysis. Watch the short video Dataprep: Qwik Start - Qwiklabs Preview.

Dataflow: Qwik Start - Templates

This page shows you how to create a streaming pipeline using a Google-Provided Cloud Dataflow template.

Dataflow: Qwik Start - Python

In this lab you will set up your Python development environment, get the Cloud Dataflow SDK for Python, and run an example pipeline using the Google Cloud Platform Console.

Dataproc: Qwik Start - Console

This lab shows you how to create a Google Cloud Dataproc cluster, run a simple Apache Spark job in the cluster, then modify the number of workers in the cluster, all from the gcloud Command Line. Watch these short videos, Dataproc: Qwik Start - Qwiklabs Preview and Run Spark and Hadoop Faster with Cloud Dataproc.

Dataproc: Qwik Start - Command Line

This lab shows you how to create a Google Cloud Dataproc cluster, run a simple Apache Spark job in the cluster, then modify the number of workers in the cluster, all from the gcloud Command Line. Watch these short videos, Dataproc: Qwik Start - Qwiklabs Preview and Run Spark and Hadoop Faster with Cloud Dataproc.

Cloud Natural Language API: Qwik Start

The Cloud Natural Language API lets you extract entities and perform sentiment and syntactic analysis on text. Watch these short videos Gain Valuable Insights from Text with Cloud Natural Language and Cloud Natural Language: Qwik Start - Qwiklabs Preview.

Google Cloud Speech API: Qwik Start

The Google Cloud Speech API integrates speech recognition into dev apps; you can now send audio/receive a text transcription. Watch these short videos Powerful Speech Recognition Using Google Machine Learning and Google Cloud Speech: Qwik Start - Qwiklabs Preview

Video Intelligence: Qwik Start

In this lab use the Google Cloud Video intelligence app to extract metadata from a sample video file. Watch the short video Google Cloud Video Intelligence - Search every moment of every video in your catalog.

Perform Foundational Data, ML, and AI Tasks in Google Cloud: Challenge Lab

This challenge lab tests your skills and knowledge from the labs in the Baseline Data, ML and AI, quest. You should be familiar with the content of the labs before attempting this lab.

Course Provider

Provider Qwiklabs's Stats at AZClass

Discussion and Reviews

0.0   (Based on 0 reviews)

Start your review of Perform Foundational Data ML and AI Tasks in Google Cloud

faq FAQ for Google Cloud Platform (GCP) Courses

Q1: What is the Perform Foundational Data ML and AI Tasks in Google Cloud course?

The Perform Foundational Data ML and AI Tasks in Google Cloud course is a skill badge quest that teaches the basic features of Google Cloud machine learning and AI technologies such as BigQuery, Cloud Speech AI, Cloud Natural Language API, AI Platform, Dataflow, Cloud Dataprep by Trifacta, Dataproc, and Video Intelligence API. Upon completion of the quest and the final assessment challenge lab, participants will receive a skill badge from Google Cloud in recognition of their proficiency with Google Cloud products and services.

Q2: What is a skill badge?

A skill badge is an exclusive digital badge issued by Google Cloud in recognition of a participant's proficiency with Google Cloud products and services. It is awarded upon successful completion of the Perform Foundational Data ML and AI Tasks in Google Cloud course and the final assessment challenge lab. The skill badge can then be shared with the participant's network.

Q3: Does the course offer certificates upon completion?

Yes, this course offers a free certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q4: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q5: Can I take this course for free?

Yes, this is a free course offered by Qwiklabs, please click the "go to class" button to access more details.

Q6: How many people have enrolled in this course?

So far, a total of 56 people have participated in this course. The duration of this course is 6.00 hour(s). Please arrange it according to your own time.

Q7: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Qwiklabs's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
Add your desired course to your cart.
If you don't have an account yet, sign up while in the cart, and you can start the course immediately.
Once in the cart, select the course you want and click "Enroll."
Qwiklabs may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Google Cloud Platform (GCP) courses and certifications, our extensive collection at azclass.net will help you.

close

To provide you with the best possible user experience, we use cookies. By clicking 'accept', you consent to the use of cookies in accordance with our Privacy Policy.