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Cisco

Cisco Introduction to Artificial Intelligence (CIAI)

A two-day foundation in AI for IT and network professionals.

2 daysFoundation10 modules
Overview

About this course

A two-day foundation in AI for IT and network professionals. You will learn data, AI, machine learning and deep learning concepts, neural networks and NLP, and the infrastructure, servers and tools that AI workloads require.

What you'll learn

What you'll learn

  • Understanding Big Data and Data Science concepts
  • List and describe the concepts, major features, algorithms, and benefits of AI/ML/DL
  • Use AI/ML/DL techniques, such as Neural Networks
  • Get familiar with Data Science and Infrastructure AI Tools and software
  • Describe the Cisco AI/ML/DL Computing Solutions Portfolio alignments
Curriculum

Curriculum

10 modules
  • 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
  • AI Concept, Methods, and Techniques
  • Key AI Challenges (Customer and Provider)
  • AI Business Drives
  • Evolution of AI Algorithms
  • Machine Learning (ML) Algorithms
  • Supervised Learning
  • Unsupervised Learning
  • Deep Learning Project Phases
  • Custom AI Deep Learning Workflow
  • Deep Learning (DL) Algorithms
  • Neural Networks Fundamentals
  • Neural Architecture Search (NAS)
  • Cisco Neural Architecture Construction (NAC)
  • Natural Language Processing Basics
  • NLP / NLU Techniques
  • NLP / NLU Deployments
  • What is Kubernetes
  • Introduction to Containers
  • Container Orchestration Engines
  • Kubernetes Basics
  • KubeFlow for AI
  • GPU
  • Modern GPU Server Architecture
  • Storage Requirements
  • Big Data with AI/ML/DL
  • Kubeflow
  • SkyMind SKIL
  • Cloudera Data Science Workbench
  • DL Frameworks > Handwritten Math
  • Kubernetes
  • Demo: Classifying Handwritten Digits with TensorFlow
  • Lab 1: Deep Learning Framework Setup (TensorFlow and Jupyter Stack)
  • Lab 2: Classifying Handwritten Digits and 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”
Who it's for

Who it's for

Network and infrastructure engineers preparing to support AI workloads.

Before you start

  • Understanding of server design and architecture

Let's plan your next step together.

Tell us the course or certification you have in mind and we'll send the outline, upcoming dates, fees and private-team options.

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