top of page

Implementation as a Service

Learning modules and Coaching to help close the AFI Index Adoption Penalty 

Our implementation programs are tailored to directly address the highest AFI penalty cost drivers identified by the platform. The Principles of Machine Leadership and Presenting Data to Executives Courses target the skills needed to proactively manage AI adoption campaigns within an enterprise.

Upon completion, employee data is automatically fed back into the AFI platform, giving the CIO and CHRO real-time visibility on the increase in the organizational trust and competency score and the resulting decrease in the financial penalty.

Enroll Your Team in a Targeted Implementation Module

Presenting Data to Executives

Learn the best practices and latest AI tools for developing compelling data presentations for senior executives.  
Instructor
Machine Leadership_David Swanagon.png
DR. DAVID SWANAGON

Founder of Machine Leadership and Chief Editor of the Machine Leadership Journal

 
DURATION

5 hours

AVAILABILITY

Online
Self Directed and Asynchronous

PRICE

US $39 (3,450 INR)
Eligible for recertification 2 credits

Machine Leadership_HRCI_Recertification Provider.png
Machine Leadership is recognized by SHRM to offer Professional Development Credits (PDCs) for SHRM-CP or SHRM-SP recertification activities.

Subscribe to learn more

COURSE OVERVIEW

Master AI Tools and Methods

Top AI Tools for Data Presentations_Machine Leadership.png

36
AI Tools

8
Presenter Steps

3
Design Stages

Learning Objectives

  • Building the Use Case

  • ​Data Collection

  • Stakeholder Review

  • Pre-Read Process

  • Telling the Story

  • Handling Q&A

  • Managing Follow-Up

  • Ethical Constraints

  • Leading AI Tools for Storytelling

  • Data Analytics Methods

Weekly sessions include a review of AI tools, group breakout topics, and applied exercises to build skills. Participants will have the chance to engage in live presentation practice. 

SAMPLE CONTENT

Expert Instruction

Course Objectives
Sample Chapter

LEARNING AGENDA

Course Design

Hour 1

​Learning Objectives

  • Building the Use Case

  • Data Collection

  • Stakeholder Review

  • Pre-Read Process

Class Exercises

  • Case Study - 1 

  • Group Simulations

  • Practice Exercises

  • Review of AI Tools

Deliverable

  • Practice steps 1-4

Hour 2-3

​Learning Objectives

  • Telling the Story

  • Handling Q&A

  • Managing Follow-Up

  • Ethical Constraints​​

Class Exercises

  • Case Study - 2

  • Group Simulations

  • Practice Exercises

  • Review of AI Tools

Deliverable

  • Practice Steps 5-8

Hour 4-5

​Learning Objectives

  • Descriptive Statistics

  • Regression

  • Dimension Reduction

  • Time Series Forecasting

Class Exercises

  • Research Techniques

  • Group Simulations

  • Practice Exercises

  • Review of AI Tools

Deliverable

For individuals seeking recertification credits

  • Final Presentation

WHAT YOU WILL EARN

Key Benefits of the Course

  • Certificate of Completion.

  • Digital Badge.

  • 2 Recertification Credits (if applicable). 

  • Access to Networking Opportunities.

  • Learn 36 AI Tools focused on Storytelling.

  • Coaching Feedback on Presentation Skills.

​​

Presenting Data to Executives_Home Page_edited.jpg

Principles of Machine Leadership

Learn the best practices for developing engineers, adopting AI, and integrating machines into the workplace. 

Instructor

Machine Leadership_David Swanagon.png

DR. DAVID SWANAGON

Founder of Machine Leadership and Chief Editor of the Machine Leadership Journal

 

DURATION

5 hours

AVAILABILITY

Online
Self Directed and Asynchronous

PRICE

US $39 (3,450 INR)
Eligible for recertification 2 credits

Machine Leadership_HRCI_Recertification Provider.png
Machine Leadership is recognized by SHRM to offer Professional Development Credits (PDCs) for SHRM-CP or SHRM-SP recertification activities.

Subscribe to learn more

COURSE OVERVIEW

Principles of
Machine Leadership

Principles of Machine Leadership.png

10
Best Practices

4
AI Toolkits

1
Adoption Model

Learning Objectives

  • Critical Job Roles for the Age of AI

  • AI tools that drive culture and productivity

  • Responsible AI and Data Privacy

  • Supporting MLOPs

  • Recruiting engineers

  • Adopting AI within your organization

  • Demystifying LLMs and AI Agents

  • Robotics and Autonomous Vehicles

  • Computer Vision for HR Leaders

  • Building a strong relationship with the CIO and CDO

The discussion will be highly interactive and include toolkits that the HR Professional can use to understand AI job roles, adoption models, and the key engineering processes supporting today's language models and AI agents. The course is designed HR Professionals that to help them understand how to lead and partner with AI/ML teams.
Machine Leadership_Course Overview

SAMPLE CONTENT

Facilitated Instruction

Course Objectives
Prompt Engineering (Sample)

LEARNING AGENDA

Course Design

Hour 1-3

​Learning Objectives

  • AI Adoption Model

  • ​Critical Job Roles

  • ​Recruiting Engineers

  • Leading AI Tools

 

Class Exercises

  • Case Study - 1 

  • Live Discussion 

  • Review of AI Tools

Follow-Up

  • Take home exercises

Hours 4-5

​Learning Objectives

  • Responsible AI

  • Data Privacy

  • LLMs and AI Agents

  • MLOps Essentials

 

Class Exercises

  • Case Study - 2

  • Live Discussion

  • Review of AI Tools

Follow-Up

  • Take home exercises

Toolkits

Course Materials

  • AI Adoption Model

  • AI Success Profiles

  • Leading AI Tools

  • Talent Management

Recognition

  • Digital Certificate

  • SHRM Recertification​ Credits (2 total)

 

Deliverable

  • Course Assessment

WORLDCLASS INSTRUCTION

Meet your Instructor

Machine Leadership_David Swanagon.png
DR. DAVID SWANAGON
Dr. Swanagon is the Founder of Machine Leadership and Chief Editor of The Machine Leadership Journal. He is also the leader of the Global AI Playground Initiative, which strives for the safe adoption of AI for children in preschool, elementary, and adolescence. He is an award winning HR, Learning, and People Analytics executive for $BN+ multinationals in the Oil & Gas, Chemicals, Technology, and Hospitality Industries. He is also a professor of management, focusing on AI and talent management. Dr. Swanagon received degrees from Vanderbilt University and Harvard.

FREQUENTLY ASKED QUESTIONS

Common Questions

Do I need to be a Data Scientist to Complete this Course?

No. The course is designed for all corporate leaders. However, there are chapters on popular data methods.
bottom of page