CIAI - Cisco Introduction to Artificial Intelligence Course Details:

Artificial Intelligence (AI) and Machine Learning (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 infrastructures. There are several compute platforms designed and purpose-built for Deep Learning (DL). These platforms should be storage and I/O-optimized to deliver industry-leading performance to speed up Deep Learning (DL) using neural networks and large data sets to train computers for complex tasks. The CIAI - Cisco Introduction to Artificial Intelligence instructor-led course introduces the learner to the Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) essentials in addition to compute platforms such as Cisco UCS, through a combination of lecture and hands-on labs.

    No classes are currenty scheduled for this course.

    Call (919) 283-1674 to get a class scheduled online or in your area!

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
  • 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
  • Test, development, and model tuning
    • Cisco HyperFlex HX24 and Cisco UCS C240 M5
  • Machine learning and deep learning
    • Cisco UCS C480 ML M5
  • Inferencing
    • Cisco HyperFlex HX240
    • Cisco UCS C220 M5 andCisco UCS C240 M

Cisco UCS C480 ML Rack Server

  • Cisco UCS C480 ML M5 Overview
  • Cisco UCS C480 ML M5 Features and Benefits
    • System Front and Rear View
    • CPU, GPU, and IO Module
    • Internal NVLink Topology
    • Storage Options – RAID Card and Drives
    • Connectivity with Lan on Motherboard (LoM)
  • Cisco UCS C480 ML M5 Management
    • Integrated Management Controller (IMC) – OoBM
    • Cisco UCS Unified Management
    • Cisco Intersight (cloud-based)
  • Cisco UCS C480 ML M5 Deployment
    • Standalone
    • Cisco UCS managed environment.
  • Cisco UCS C480ML Rack Server for Deep Learning

*Please Note: Course Outline is subject to change without notice. Exact course outline will be provided at time of registration.
  • Understand Big Data and Data Science concepts
  • List and describe the concepts, major features, algorithms, and benefits of AL/ML/DL
  • Use AL/ML/DL techniques, such as Neural Networks.
  • Get familiar with Data Science and Infrastructure AI Tools and soft wares
  • Describe the Cisco AI/ML/DL Computing Solutions Portfolio alignment
  • Describe the Cisco UCS C480 ML M5 Deep Learning Server

Lab 1: Deep Learning Framework Setup (TensorFlow and Jupyter Stack)
Lab 2: Classifying Handwritten Digits with TensorFlow
Lab 3: DL Chatbot - Training a Model to Have a Conversation with a Google Chatbot similar to Alexa or Siri
Lab 4: ML Training a Machine to play "The Snake Game"

The knowledge and skills that a learner should have before attending this course include:

  • Understanding of server design and architecture.
  • Familiarity with Cisco UCS, Storage, and Server Virtualization
  • Cisco Integrators/Partners
  • Consulting Systems Engineers
  • Technical Solutions Architects
  • Data Center Administrators and Engineers
  • Anyone interested in AI/ML/DL

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