Artificial Intelligence (AI) Overview for the Enterprise

Start Date	Class Duration	Session(s)	Price
Global Knowledge - Online
Mar 11, 2019	1 Day	Mar 11, 2019	$ 795.00	Add to Cart
Jun 17, 2019	1 Day	Jun 17, 2019	$ 795.00	Add to Cart

COURSE OUTLINE:

Description

Artificial Intelligence Overview for the Enterprise is a technical primer on the foundations of AI, introducing each sub-field of AI and how they can be practically exploited in the modern business sense.

Audience

This course is ideally suited for a wide variety of technical learners who need a fast paced, hands-on introduction to the core skills, concepts and technologies related to AI programming and machine learning.ï¿½ Attendees might include:

Developers aspiring to be a 'Data Scientist' or Machine Learning engineers
Analytics Managers who are leading a team of analystsï¿½
Business Analysts who want to understand data science techniques
Information Architects who want to gain expertise in Machine Learning algorithmsï¿½
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

Prerequisites

Students attending this class should have a grounding in Enterprise computing. While thereï¿½s no particular class to offer as a prerequisite, students 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.

Learning Objectives

This course introduces AI from a practical applied business perspective.ï¿½

Working in a hands-on learning environment, led by our expert AI course leader, students will explore and learn:

What AI is and what it isnï¿½t
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
Whatï¿½s next in applied AI for businesses

Lesson: Artificial Intelligence

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

Lesson: Machine Learning

Supervised vs. Unsupervised
Classification
Regression
Clustering
Dimensionality Regression
Ensemble Methods

Lesson: Expert Systems

Rules Systems
Feedback loops
RETE and beyond
Expert Systems in practice

Lesson: Neural Networks

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

Lesson: Natural Language Processing

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

Lesson: Image, Video, and Audio Processing

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

Lesson: Sentiment Analysis

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

Lesson: Current Tools of the Trade

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

Lesson: Whatï¿½s Next in AI

Current Developments
Gazing the Crystal Ball

RELATED COURSES

Uncategorized

Avaya Auraï¿½ Call Center Elite Implementation and Configuration

Avaya Auraï¿½ Call Center Elite features are used to accomplish call routing and vectoring solutions for various business objectives. Through hands-on labs, you will learn to administer a call center using the Avaya Aura Communication Manager.

Uncategorized

Azure Developer Core Solutions Track (AZ-200)

This course prepares you for Microsoftï¿½s Azure Developer certification exam AZ-200: Develop Core Microsoft Azure Cloud Solutions. This course is designed for developers who already know how to code in at least one of the Azure-supported languages.

The coursework covers Azure architecture, design and connectivity patterns, choosing the right storage solution for your development needs, developing solutions leveraging Azure Storage options including: Cosmos DB, Azure Storage tables, file storage, Blob, relations databases and caching and content delivery networks, creating App Service Web Apps; notification and offline sync for mobile apps; Service Fabric; serverless Azure Functions; managing bulk operations through the Batch Service API; Azure Kubernetes Service; and Azure Media Services, authentication work in Azure, and how to implement secure data solutions with:ï¿½ encryption; Azure Key Vault; and SSL and TLS communications.

Uncategorized

Maximizing your Emotional Intelligence

As the pace of change continues to accelerate and the business environment becomes more complex and uncertain, leaders frequently find themselves under pressure to make critical decisions often with little information and timeï¿½and to produce results. The way you react in these difficult situations has a direct impact on your team, relationships with colleagues, and business performance.

To increase success, improve your awareness of your natural tendencies and identify strategies to manage your emotions and reactions to consistently produce more positive outcomes.

Uncategorized

Modeling and Implementing with IBM Business Process Manager V8

In this course, you learn about the core process modeling skills, project development approach, implementation fundamentals, and exceptional delivery patterns that can improve the speed and quality of process definition and implementation efforts.

The course integrates training in business process management (BPM) methodology and implementation with IBM Business Process Manager training. IBM Business Process Manager is a comprehensive BPM platform that can provide you with the visibility and insight you need to effectively manage the business processes of your organization.

The course begins with an overview of BPM and process modeling, and it emphasizes the concepts of reuse, ease of maintenance, and high-quality development strategies. You use the IBM Business Process Manager Standard V8 Process Designer component to create a business process definition (BPD) from business requirements that are identified during process analysis. You learn how to make team collaboration more efficient by enabling all team members to use standard process model elements and notation, which makes expressing and interpreting business requirements consistent throughout the BPM lifecycle.

The course continues with an overview of the architecture of IBM Business Process Manager, and describes the use of process applications and toolkits within the tool. You create variables, implement gateways, and enable swimlanes to demonstrate process flow on their diagrams. You also build customized user interfaces (coaches) to enable business and process data flows throughout a process model.

The course uses an interactive learning environment, with hands-on demonstrations and activities to reinforce concepts and check understanding. Lab exercises are provided throughout the course, giving you hands-on experience with BPM tasks and skills.