Products
Top 100 ProductsExplore best user picked AI products
AI Products CatalogueDiscover a World of AI Solutions
Learning
CoursesExplore best courses to learn about AI
HackathonJoin our upcoming #BuildwithAI hackathon
Top NewsBecome part of the largest AI community
Explore
ShopBuy our merch
EventsUpcoming AI events
AI AgentsBrowse AI agents to improve your workflow
Advertise
Sign up to our newsletter
Menu
Home CoursesAI productsAI agentsEventsAI NewsShopHelpPrivacy policy
Join us on
All rights reserved © 2024 Genai Works
Back
Courses
Software Architecture Patterns for Big Data

Software Architecture Patterns for Big Data

Data Science for AI
intermediate
Price
Free
Tried by
0

About Software Architecture Patterns for Big Data course

This course is designed for those who want to understand the architectural patterns needed to bring large software systems that use big data to production. You will turn big data prototypes into high-quality, tested software for production. By measuring the performance characteristics of distributed systems, you will identify bottlenecks and implement scalable solutions to improve performance. Upon completion of the course, you will know how to scale production data warehouses to handle load, design load tests to ensure applications meet performance requirements, and implement scalable solutions to improve performance. This course can be taken for academic credit toward CU Boulder’s MS in Data Science or MS in Computer Science programs, offered on Coursera. These fully accredited degrees offer focused courses, short 8-week sessions, and paid tuition. Admission to the program is based on three prerequisite courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder
Company
University of Colorado
Resources
Website

More gallery

Similar courses

Introduction to Responsible AI
This is an introductory-level microlearning course aimed at explaining what responsible AI is, why it's important, and how Google implements responsible AI in their products. It also introduces Google's 7 AI principles. Complete this activity and earn a badge! Boost your cloud career by showing the world the skills you’ve developed.
by Genai Works
Introduction to Data Science Specialization
What you'll learn ✔️Describe what data science and machine learning are, their applications & use cases, and various types of tasks performed by data scientists ✔️Gain hands-on familiarity with common data science tools including JupyterLab, R Studio, GitHub and Watson Studio ✔️Develop the mindset to work like a data scientist, and follow a methodology to tackle different types of data science problems ✔️Write SQL statements and query Cloud databases using Python from Jupyter notebooks Advance your subject-matter expertise ✔️Learn in-demand skills from university and industry experts ✔️Master a subject or tool with hands-on projects ✔️Develop a deep understanding of key concepts ✔️Earn a career certificate from IBM
by Genai Works
Build apps with Azure AI services and Power Virtual Agents
Discover a range of tools to help you build AI-powered apps with Azure AI Services, develop generative AI solutions with Azure OpenAI Services, and explore chatbots and AI models with Microsoft Copilot Studio through this Microsoft Learn Official Collection.
by Genai Works

Last Reviews

Oops! It looks like you need to sign up
Before leaving a review you need to create an account. Don't worry, it only takes a moment and gives you access to exclusive content and updates. Ready to get started?