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
Train, assess, and deploy an enhanced decision tree model using Azure ML Studio for predictive and scoring experiments.
Gain essential skills in Probability Theory for managing uncertainty, structured into five modules with practical exercises, covering topics like Probability, Conditional Probability, and offering an engaging online learning experience.
Master the AI and machine learning toolkit. Mathematics for Machine Learning and Data Science is a Specialization that is accessible to beginners. In this program, you will acquire the basic mathematics tools of machine learning, including calculus, linear algebra, statistics, and probability.
Join us on a transformative voyage with our Generative AI for NLP Specialization, which is specifically designed to enhance your comprehension of AI-driven language models, from the fundamental concepts to the most advanced applications. While investigating the architecture and applications of large language models, enhance your proficiency in Python programming, machine learning, NLP, and Generative AI techniques.
Begin your professional journey as an AI engineer. Master the art of generating business insights from large datasets by employing deep learning and machine learning models.