Table of Contents

1. Short Summary
2. Duration
3. Content Description
4. Objectives
5. Agenda
6. Audience
7. Skill Level
8. Labs?
9. Keywords
10. Prerequisites
11. Enrollment
12. Errata
13. Follow-on Courses

Short Summary

This course covers the foundations of Artificial Intelligence (AI) and Big Data and how they relate to IBM Spectrum Storage. Students are introduced the basic concepts of Machine Learning (ML), Deep Learning (DL), and popular ML frameworks, such as TensorFlow and Pytorch.

Duration in Hours ⌚

4

Content Description

This course covers the foundations of Artificial Intelligence (AI) and Big Data and how they relate to IBM Spectrum Storage. Students are introduced the basic concepts of Machine Learning (ML), Deep Learning (DL), and popular ML frameworks, such as TensorFlow and Pytorch.

Following this overview, students will learn about the IBM Spectrum Storage offerings and how they provide support for AI and Big Data projects.

After completing the course, students will earn the IBM Spectrum Storage for AI and Big Data Fundamentals badge: https://www.credly.com/org/ibm/badge/ibm-spectrum-storage-for-ai-and-big-data-fundamentals

Objectives

• Recall the basic concepts of Artificial Intelligence, Machine Learning, and Deep Learning
• Distinguish between the various Machine Learning/Deep Learning frameworks
• Summarize the ways in which IBM's products for Data and AI improve the AI process

Agenda

• Unit 1: Introduction to AI
  • Introduction to AI
  • Checkpoint Quiz 1
  • Machine Learning
  • Checkpoint Quiz 2
  • Deep Learning
  • Checkpoint Quiz 3
  • Types of Data
  • Checkpoint Quiz 4
  • Types of Machine Learning
  • Checkpoint Quiz 5
• Unit 2: Open Source Technologies in Big Data and AI
  • Machine Learning Process
  • Checkpoint Quiz 6
  • TensorFlow and Keras
  • Checkpoint Quiz 7
  • PyTorch
  • Checkpoint Quiz 8
  • Convolutional Architecture for Fast Feature Embedding (Caffe)
  • Checkpoint Quiz 9
• Unit 3: IBM Storage products in Big Data and AI
  • IBM Spectrum Scale Overview
  • Checkpoint Quiz 10
  • IBM Elastic Storage System Overview
  • Checkpoint Quiz 11
  • IBM Elastic Storage System Use Cases
  • Checkpoint Quiz 12
  • Cloud Object Storage: Introduction
  • Checkpoint Quiz 13
  • IBM Spectrum Discover
  • Checkpoint Quiz 14
• Badge Quiz

Audience

Enrollment in this course is not restricted. Typical students may include:

• Customers
• Technical IBM personnel
• Business Partner technical personnel 
• IT consultants and architects

Skill Level

Basic

Labs? 💻

No

Keywords

Data and AI;Cloud Object Storage, IBM Storage, DL08025, IBM Spectrum

Prerequisites

None

Enrollment

https://www.ibm.com/training/search?query=DL08025

Errata

None specified.

Follow-on Courses

• SSC20DG: IBM Cloud Object Storage System Fundamentals
• SSE12DG: Monitoring the IBM Elastic Storage System
• H005G: IBM Spectrum Scale Basic Administration for Linux and AIX