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AI, Machine Learning & Deep Learning Essentials

Introduction to AI, Machine Learning & Deep Learning Essentials is an engaging, hands-on training program designed to provide students new to these areas with a baseline understanding of the core technologies, skills, business application and tools surrounding them. These fast growing, critical technologies are currently shaping the future of IT, development and analytics.

Course Overview

Overall Proficiency Level
2 - Intermediate
Course Catalog Number
AIMLDLE
Course Prerequisites

To ensure a smooth learning experience and maximize the benefits of attending this course, you should have the following prerequisite skills: Attendees should have some familiarity with Enterprise IT as well as 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 data science, AI and machine learning. Python programming is required, as the labs revolve around leveraging Python. Basic skills in handling and manipulating data using Python libraries such as NumPy and Pandas would be advantageous. Familiarity with concepts such as variables, functions, control flow, and data structures will ensure a smooth learning experience. While the course will introduce deep learning from scratch, having a grasp of basic machine learning concepts will be beneficial. Some understanding of algebra and basic calculus will be helpful in comprehending the mathematical components of deep learning.

Training Purpose
Skill Development
Specific Audience
Academia
Contractor
Federal Employee
Delivery Method
Classroom
Online, Instructor-Led
Course Location

4176 S Plaza Trail
Suite 207
Virginia Beach, VA 23452

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Learning Objectives

Led by our expert AI / Machine Learning practitioner, students will learn about and explore: The What and Why of AI, Machine Learning & Deep Learning – why is this important and exciting? Getting the Basics: High-level skills, vocabulary and terminology AI, Machine Learning and Deep Learning – what are the differences and uses? Latest trends and research Who’s Using It and to What Advantage? How to adopt AI, ML and DL Hands-on Machine Learning – algorithms, neural networks, natural language processing & more Tools and Languages: Python, R, Spark, TensorFlow, Keras Deep Learning Essentials

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):

Feedback

If you would like to provide feedback on this course, please e-mail the NICCS team at NICCS@mail.cisa.dhs.gov. Please keep in mind that NICCS does not own this course or accept payment for course entry. If you have questions related to the details of this course, such as cost, prerequisites, how to register, etc., please contact the course training provider directly. You can find course training provider contact information by following the link that says “Visit course page for more information...” on this page.

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