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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
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 11I
- IBM Elastic Storage System Use Cases
- Checkpoint Quiz 12
- Cloud Object Storage: Introduction
- Checkpoint Quiz 13
- IBM Spectrum Discover
- Checkpoint Quiz 14
- Badge quiz
