Cisco Introduction to Artificial Intelligence (CIAI) – Outline

Detailed 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
  • Deep Learning (DL) Algorithms

Neural Networks

  • Neural Networks Fundamentals
  • Neural Architecture Search (NAS)
  • Cisco Neural Architecture Construction (NAC)

NLP / NLU

  • Natural Language Processing Basics
  • NLP / NLU Techniques
  • NLP / NLU Deployments

Kubernetes

  • What is Kubernetes
  • Introduction to Containers
  • Container Orchestration Engines
  • Kubernetes Basics
  • KubeFlow for AI

AI Server Requirements

  • GPU
  • Modern GPU Server Architecture
  • Storage Requirements

Data Science and Infrastructure AI Tools

  • Big Data with AI/ML/DL
  • Kubeflow
  • SkyMind SKIL
  • Cloudera Data Science Workbench
  • DL Frameworks > Handwritten Math
  • Kubernetes
  • Demo: Classifying Handwritten Digits with TensorFlow