EncartaLabs

Artificial Intelligence for Enterprise

( Duration: 3 Days )

The Artificial Intelligence for the Enterprise training course introduces each sub-field of AI and how they can be practically exploited in the modern business sense.

By attending Artificial Intelligence for the Enterprise Workshop, delegates will 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

Delegates attending this course should be familiar with Enterprise IT, have a general (high-level) understanding of systems architecture, as well as some knowledge of the business drivers that might be able to take advantage of applying AI.

  • Developers aspiring to be a 'Data Scientist' or Machine Learning engineers
  • Analytics Managers who are leading a team of analysts
  • Business Analysts who want to understand data science techniques
  • Information Architects who want to gain expertise in Machine Learning algorithms
  • Analytics professionals who want to work in machine learning or artificial intelligence
  • Graduates looking to build a career in Data Science and machine learning
  • Experienced professionals who would like to harness machine learning in their fields to get more insight about customers

COURSE AGENDA

1

Artificial Intelligence

  • Definitions of AI
  • Types of AI
  • Mathematics in AI
  • Deep and Wide learning
  • AI and SciFi
  • AI in the Modern Age
2

Machine Learning

  • Supervised vs. Unsupervised
  • Classification
  • Regression
  • Clustering
  • Dimensionality Regression
  • Ensemble Methods
3

Expert Systems

  • Rules Systems
  • Feedback loops
  • RETE and beyond
  • Expert Systems in practice
4

Neural Networks

  • Neural Networks
  • Recurrent Neural Networks
  • Long-Short Term Memory Networks
  • Applying Neural Networks
5

Natural Language Processing

  • Language and Semantic Meaning
  • Bigrams, Trigrams, and n-Grams
  • Root stemming and branching
  • NLP in the world
6

Image, Video, and Audio Processing

  • Image processing and Identification
  • Facial Analysis
  • Audio Processing
  • Analyzing Streaming Video
  • Real-world AV processing
7

Sentiment Analysis

  • Sentiment : The beginnings of emotional understanding
  • Sentiment indicators
  • Sentiment Sampling
  • Algorithmic Trading on Sentiment
  • Predicting Elections
8

Current Tools of the Trade

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

Encarta Labs Advantage

  • One Stop Corporate Training Solution Providers for over 3,500 Modules on a variety of subjects
  • All courses are delivered by Industry Veterans
  • Get jumpstarted from newbie to production ready in a matter of few days
  • Trained more than 20,000 corporate candidates across india and abroad
  • All our trainings are conducted in workshop mode with more focus on hands On

View our other course offerings by visiting www.encartalabs.com/course-catalogue

Contact us for delivering this course as a public/open-house workshop for a group of 10+ candidates at our venue

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