AI & Machine Learning for the Enterprise Overview (Hands-on)

Explore AI & Machine Learning Basics, How they Apply in Today’s Business Enterprise, Current Tools & Trends & More

TTML5502

Introductory

2 Days

Course Overview

AI & Machine Learning for the Enterprise Overview (Hands-on) is a high-level primer on the foundations of AI, introducing each sub-field of AI and how they can be practically exploited in the modern business sense. This course introduces AI from a practical applied business perspective. This course is ideally suited for a wide variety of technical learners just getting started with AI or machine Learning, seeking a ‘first-look’ exposure level course that includes some light hands-on.

This course explores:

  • 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

Course Objectives

This course explores:

  • 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

Need different skills or topics?  If your team requires different topics or tools, additional skills or custom approach, this course may be further adjusted to accommodate.  We offer additional AI, machine learning, deep learning, data science, programming, Python/R and other related topics that may be blended with this course for a track that best suits your needs. Our team will collaborate with you to understand your needs and will target the course to focus on your specific learning objectives and goals.

Course Prerequisites

This course is ideally suited for a wide variety of technical learners just getting started with AI or machine Learning, seeking a primer-level overview of these technologies, skills and related tools. Attendees might include:

  • 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

Students attending this class should have a grounding in Enterprise computing. While there’s 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.

  • The hands-on labs in this leverage basic Python scripts as needed, but the labs can be completed in a ‘follow-along’ format, under the guidance of the instructor.  Prior experience with Python can be helpful but is not necessary.

Please see the Related Courses tab for specific Pre-Requisite courses, Related Courses that offer similar skills or topics, and next-step Learning Path recommendation

Course Agenda

Please note that this list of topics is based on our standard course offering, evolved from typical industry uses and trends. We’ll work with you to tune this course and level of coverage to target the skills you need most.

Exploring AI / Artificial Intelligence

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

Exploring 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 the Crystal Ball

Course Materials

Student Materials: Each student will receive a Student Guide with course notes, code samples, setp-by-step written lab instructions, software tutorials, diagrams and related reference materials and links (as applicable). Students will also receive related (as applicable) project files, code files, data sets and solutions required for any hands-on work.

Lab Setup Made Simple.   All course labs and solutions, data sets, software, detailed courseware, lab guides and resources (as applicable) are provided for attendees in our easy access, no installation required, remote lab environment. Our tech team will help set up, test and verify lab access for each attendee prior to the course start date, ensuring a smooth start to class and successful hands-on course experience for all participants. 

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Attend a Course

Please see the current upcoming available open enrollment course dates posted below. Please feel free to Register Online below, or call 844-475-4559 toll free to connect with our Registrar for assistance. If you need additional date options, please contact us for scheduling.

Course Title Days Date Time Price
AI & Machine Learning for the Enterprise Overview (Hands-on) 2 Days Apr 14 to Apr 15 10:00 AM to 06:00 PM EST $1,895.00 Register
AI & Machine Learning for the Enterprise Overview (Hands-on) 2 Days May 25 to May 26 10:00 AM to 06:00 PM EST $1,895.00 Register
AI & Machine Learning for the Enterprise Overview (Hands-on) 2 Days Jul 1 to Jul 2 10:00 AM to 06:00 PM EST $1,895.00 Register
AI & Machine Learning for the Enterprise Overview (Hands-on) 2 Days Aug 11 to Aug 12 10:00 AM to 06:00 PM EST $1,895.00 Register
AI & Machine Learning for the Enterprise Overview (Hands-on) 2 Days Sep 22 to Sep 23 10:00 AM to 06:00 PM EST $1,895.00 Register

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