Introduction to artificial intelligence and Machine Learning ( AI/ML ) (AIML)

This workshop;introduces the learner to the Artificial intelligence (AI), machine learning (ML), and Deep Learning (DL) essentials. Artificial intelligence (AI) and machine learning (ML) are opening up new ways for enterprises to solve complex problems, but they will also have a profound effect on the underlying infrastructure and processes of IT. AI/ML is a dominant trend in the enterprise with the ubiquity of large amounts of observed data, the rise of distributed computing frameworks and the prevalence of large hardware-accelerated computing infrastructure became essential. There are several compute platforms designed and purpose-built server for Learning. These platforms should be storage and I/O-optimized to deliver an industry-leading performance for training models which speeds up using neural networks and large data sets to train computers for complex tasks.

Who Should Attend?



The knowledge and skills that a learner should have before attending this course are as follows:

  • Basic understanding of server design and architecture.
  • Some familiarity with Cisco UCS, Storage, and Server Virtualization
Geef details weer

Course Outline

  • Data and AI/ML/DL Fundamentals
  • Introduction to Big Data
  • Introduction to Data Science
  • Introduction to Data Engineering
  • Introduction to Artificial Intelligence (AI)
  • Introduction to Machine Learning (ML)
  • Introduction to Deep Learning (DL)
  • AI/ML/DL Use Cases Artificial Intelligence (AI)
  • AI Concept, Methods, and Techniques
  • Key AI Challenges (Customer and Provider)
  • AI Business Drives
  • Evolution of AI Algorithms Machine Learning (ML)
  • Machine Learning (ML) Algorithms
  • Supervised Learning
  • Unsupervised Learning Deep Learning (DL)
  • Deep Learning Project Phases
  • Custom AI Deep Learning Workflow
  • Discuss Deep Learning (DL) Algorithms Neural Networks
  • Neural Networks Fundamentals
  • Neural Architecture Search (NAS)
  • Cisco Neural Architecture Construction (NAC) Data Science and Infrastructure AI Tools
  • Big Data with AI/ML/DL
  • Kubeflow
  • SkyMind SKIL
  • Cloudera Data Science Workbench
  • DL Frameworks > Handwritten Math
  • Kubernetes
  • Skymind SKIL
  • Demo: Classifying Handwritten Digits with TensorFlow Cisco Computing Solutions/UCS AI/ML/DL Portfolio
  • The Big data journey
  • Cisco Computing Solutions for AI
  • Discuss test, development, and model tuning
  • At a glance; Cisco HyperFlex and Cisco UCS M5
  • Discuss Machine learning and deep learning
  • As part of your sale of Cisco UCS ML M5
  • Inferencing
  • Discuss Cisco HyperFlex
  • Cisco UCS M5 and Cisco UCS Cisco UCS C480 ML Rack Server
  • Cisco UCS ML M5 Overview
  • Cisco UCS ML M5 Features and Benefits
  • System Front and Rear View
  • CPU, GPU, and IO Module
  • At a glance; Internal NVLink Topology
  • What are your Storage Options? – RAID Card and Drives
  • Connectivity with Lan on Motherboard (LoM)
  • Cisco UCS ML M5 Management
  • Integrated Management Controller (IMC) – OoBM
  • Cisco UCS Unified Management
  • Cisco Intersight (cloud-based)
  • An overview of Cisco a UCS ML M5 design
  • Standalone
  • What is a does a Cisco UCS managed environment look like
  • Discuss a Cisco UCS Rack Server for Deep Learning