Skip to main Content

Artificial Intelligence (AI) Overview for the Enterprise | Hands-on

  • Código del Curso GK7602
  • Duración 2 días

Otros Métodos de Impartición

Cerrado Precio

Por favor contáctenos

Solicitar Formación Grupal Inscribirse

Salta a:

Método de Impartición

Este curso está disponible en los siguientes formatos:

  • Cerrado

    Cerrado

Solicitar este curso en un formato de entrega diferente.

Temario

Parte superior

Learn how Artificial Intelligence is being applied in modern business.

Learn the foundations of Artificial Intelligence (AI), including its sub-fields, and how it can be applied in modern business. This course introduces AI from a practical business perspective.

Calendario

Parte superior

Contacte con nosotros para fechas

Solicitar Formación Grupal Más fechas en otros países

Dirigido a

Parte superior
Business Analysts, Data Analysts, Developers, Administrators, Architects, Analytics Managers, and technical Executives who are new to AI.
ver más...

Objetivos del Curso

Parte superior

Join an engaging hands-on learning environment, where you’ll learn:

  • What AI is and what it isn’t
  • The different types and sub-fields of AI
  • The differences between Machine Learning, Expert Systems, and Neural Networks
  • The latest in applied theory
  • How AI is used in processing language, images, audio, and the web
  • The current generation of tools used in the marketplace
  • What’s next in applied AI for businesses

This course has a 40% hands-on labs to 60% lecture ratio with engaging instruction, demos, group discussions, labs, and project work.

ver más...

Contenido

Parte superior

Artificial Intelligence

  • Definitions of AI
  • Types of AI
  • Mathematics in AI
  • Deep and Wide learning
  • AI and SciFi
  • AI in the Modern Age

Machine Learning

  • Supervised vs. Unsupervised
  • Classification
  • Regression
  • Clustering
  • Dimensionality Regression
  • Ensemble Methods

Expert Systems

  • Rules Systems
  • Feedback loops
  • RETE and beyond
  • Expert Systems in practice

Neural Networks

  • Neural Networks
  • Recurrent Neural Networks
  • Long-Short Term Memory Networks
  • Applying Neural Networks

Natural Language Processing

  • Language and Semantic Meaning
  • Bigrams, Trigrams, and n-Grams
  • Root stemming and branching
  • NLP in the world

Image, Video, and Audio Processing

  • Image processing and Identification
  • Facial Analysis
  • Audio Processing
  • Analyzing Streaming Video
  • Real-world AV processing

Sentiment Analysis

  • Sentiment: The beginnings of emotional understanding
  • Sentiment indicators
  • Sentiment Sampling
  • Algorithmic Trading on Sentiment
  • Predicting Elections

Current Tools of the Trade

  • Python, NumPy, Pandas, SciKit
  • Hadoop and Spark
  • NoSQL Databases
  • TensorFlow, Keras, and NLTK
  • Drools

What’s Next in AI

  • Current Developments
  • Gazing at the Crystal Ball
ver más...

Pre-requisitos

Parte superior

To gain the most from this course, you should have:

  • A grounding in enterprise computing
  • Familiarity with enterprise IT
  • A high-level understanding of systems architecture
  • Knowledge of your business drivers that could take advantage of AI
  • Basic knowledge of scripting
ver más...