- Cloud Computing
- Algorithms
- Applied Machine Learning
- Artificial Neural Networks
- Computer Vision
- Deep Learning
- Human Learning
- Machine Learning
- Machine Learning Algorithms
- Big Data
- Data Analysis
Key Technologies for Business
Completed by NEAL HENDERSON STIMLER
May 14, 2021
Approximately 1 months at 10 hours a week to completeNEAL HENDERSON STIMLER's account is verified. Coursera certifies their successful completion of IBM Key Technologies for Business Specialization.
Course Certificates Completed
Introduction to Cloud Computing
Introduction to Artificial Intelligence (AI)
What is Data Science?
What you will learn
Understand key technologies driving modern businesses and have meaningful conversations around Cloud, Data and AI, and related buzzwords
Gain Foundational Knowledge of Cloud Computing, Public/Private/Hybrid Clouds, IaaS/PaaS/SaaS, VMs, Cloud Storage & Cloud Native practices like DevOps
Describe Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, their impact on society, and our future in an AI enabled world
Outline what is Data Science, tasks that a Data Scientist performs, and how Data Science is revolutionizing virtually all industries and businesses
Skills you will gain
Course Certificates
Earned after completing each course in the Specialization
Introduction to Cloud Computing
IBM
Taught by: Rav Ahuja
Completed by: NEAL HENDERSON STIMLER by May 4, 2021
5 weeks of study, ~2hours/week
Introduction to Artificial Intelligence (AI)
IBM
Taught by: Rav Ahuja
Completed by: NEAL HENDERSON STIMLER by May 13, 2021
4 weeks of study, 1–2 hours/week
What is Data Science?
IBM
Taught by: Rav Ahuja & Alex Aklson
Completed by: NEAL HENDERSON STIMLER by May 14, 2021
3 weeks of study, 2-3 hours/week, 1 optional week