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Home > Professional Development Skills > Artificial Intelligence > Artificial Intelligence (Ai) Overview For The Enterprise
Learn the foundations of Artificial Intelligence (AI), including its sub-fields, and how it can be 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.This course has a 40% hands-on labs to 60% lecture ratio with engaging instruction, demos, group discussions, labs, and project work.
Category
ID
Duration
Level
Price
Artificial Intelligence
13827
2 Day(s)
Foundation
$1,595.00
Objectives
Lesson objectives help you become comfortable with the course, and also provide a means to evaluate learning. In the Artificial Intelligence (Ai) Overview For The Enterprise training course, you 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
Artificial Intelligence· Definitions of AI· Types of AI· Mathematics in AI· Deep and Wide learning· AI and SciFi· AI in the Modern AgeMachine Learning· Supervised vs. Unsupervised· Classification· Regression· Clustering· Dimensionality Regression· Ensemble MethodsExpert Systems· Rules Systems· Feedback loops· RETE and beyond· Expert Systems in practiceNeural Networks· Neural Networks· Recurrent Neural Networks· Long-Short Term Memory Networks· Applying Neural NetworksNatural 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 processingSentiment Analysis· Sentiment: The beginnings of emotional understanding· Sentiment indicators· Sentiment Sampling· Algorithmic Trading on Sentiment· Predicting ElectionsCurrent Tools of the Trade· Python, NumPy, Pandas, SciKit· Hadoop and Spark· NoSQL Databases· TensorFlow, Keras, and NLTK· DroolsWhat’s Next in AI· Current Developments· Gazing at the Crystal Ball
Questions?
Entry Certificate in Business Analysis (ECBA™)
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
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