Description for Cloud Computing Specialization
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 22
Offered by: On Coursera provided by University of Illinois at Urbana-Champaign
Duration: 3 months at 10 hours a week
Schedule: Flexible
Pricing for Cloud Computing Specialization
Use Cases for Cloud Computing Specialization
FAQs for Cloud Computing Specialization
Reviews for Cloud Computing Specialization
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Alternative Tools for Cloud Computing Specialization
Learn machine learning with Google Cloud. End-to-end machine learning experimentation in the real world
Learn to build machine learning solutions using Generative AI on AWS, including an understanding of AWS cloud computing and utilizing services like Amazon Bedrock.
Acquire the skills necessary to program powerful systems in Rust. Through projects in data engineering, Linux tools, DevOps, LLMs, Cloud Computing, and machine learning operations, acquire the skills necessary to develop software that is both efficient and robust, utilizing Rust's distinctive safety and speed.
Prepare for a vocation as a data scientist. Acquire hands-on experience and in-demand skills to become job-ready in as little as five months. No prior experience is necessary.
Gain the skills needed for a machine learning engineering role and prepare for the Google Cloud Professional Machine Learning Engineer certification exam by learning to design, build, and productize ML models using Google Cloud technologies.
Become a machine learning engineer. Enhance your programming abilities with MLOps
Acquire practical full stack development skills, knowledge of Cloud Native tools, proficiency in front-end development languages, and build a GitHub portfolio through hands-on tasks and a capstone project.
Gain practical skills in relational and NoSQL databases, Big Data tools, and data pipelines for comprehensive data engineering tasks.
Outlines methods to determine main products, develop streaming pipelines, explore alternatives, and define essential steps for machine learning workflows on Google Cloud.
Data Engineering on Google Cloud. Embark on a vocation in data engineering. Provide business value through the application of machine learning and big data.
Featured Tools
Acquire the ability to utilize AI tools and concepts to implement innovative, ethical, and efficient project management practices.
It provides professionals with the necessary skills to define machine learning problems, prepare data, and identify applications across a variety of domains.
The subject matter addresses the Azure ML Python SDK for the development and administration of enterprise machine learning applications, as a component of the DP-100 certification program.
A structured method for the effective application of machine learning, while also taking into account ethical considerations and business value.
Students can use Google Cloud Platform to build machine learning models as part of this course, which covers the basics of trading, quantitative strategies, and machine learning uses in finance.
Compare & Review AI Tool Directory AI Course Marketplace
AI Tool Categories
AI Productivity ToolsAI Image GeneratorsAI Text GeneratorsAI Video GeneratorsAI Audio GeneratorsAI Art GeneratorsMisc AI ToolsAI Code GeneratorsFree AI ToolsAI Functions
Marketing AI ToolsAI Tools for EducationAI Tools for ResearchAI Tools for FinanceAI Project Management ToolsLegal AI ToolsAI Tools for E-commerceAI Agents For AutomationAI Tools for BusinessAI Tools for Real EstateAI Course Categories
AI & Machine Learning CoursesGenerative AI CoursesData Science CoursesComputer Science CoursesAI Courses for BeginnersContact Us: [email protected]
Aimed Labs