Machine Learning Essentials for Business and Technical Decision Makers

via AWS Skill Builder

Overview

Explore the transformative power of machine learning (ML) with our comprehensive three-course curriculum, "Machine Learning Essentials for Business and Technical Decision Makers". Designed for nontechnical business leaders and attendees of the AWS Machine Learning Embark program and Machine Learning Solutions Lab discovery workshops, this foundational series will prepare you for effective participation and leadership in ML projects.

The course is structured to take you through a thorough roadmap on integrating ML into your business processes, helping you determine if ML is the appropriate solution to your business problem, and what organizational components are necessary for successful adoption.

Course Highlights:

Duration: 90 minutes
Includes engaging presentations, videos, and knowledge assessments.
Designed to help you understand the basics of machine learning.
Equip you to evaluate benefits, risks, and organizational requirements for ML projects.

You will learn to:

Understand machine learning basics to evaluate its benefits and risks in business cases.
Identify the data, time, and production requirements for a successful ML project.
Adapt and sustain organizational success using ML.

Curriculum Outline:

Course 1: Introduction to Machine Learning: Art of the Possible

Understand how ML can be defined and its impacts on various business domains.
Explore AI and the distinct features between AI and ML.
Discuss the potential challenges related to ML including model complexity and unexplainability.

Course 2: Planning a Machine Learning Project

Determine if ML fits your business problems, assess data readiness, and understand the impact on project timelines.
Identify key deployment questions to ask early in the project phase.

Course 3: Building a Machine Learning Ready Organization

Prepare your organization for ML adoption and evaluate your data strategy.
Create a conducive environment for learning, collaboration, and understand the roles within an ML team.
Initiate your organization's ML journey with strategic and actionable insights.

Prerequisites:
Participants are recommended to have a basic understanding of computers and foundational knowledge of machine learning concepts.

Provider: AWS Skill Builder

Categories: Machine Learning Courses, Project Management Courses