top of page
Principles of Machine Leadership
Learn the best practices for developing engineers, adopting AI, and integrating machines into the workplace.
Instructor
DR. DAVID SWANAGON
Founder of Machine Leadership and Chief Editor of the Machine Leadership Journal
COURSE OVERVIEW
Principles of
Machine Leadership
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.
SAMPLE CONTENT
Live Facilitated Instruction
Course Objectives
Prompt Engineering (Sample)
LEARNING AGENDA
Course Design
Hour 1
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
Hour 2
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
Presenting Data to Executives
Learn the best practices and latest AI tools for developing compelling data presentations for senior executives.
Instructor
DR. DAVID SWANAGON
Founder of Machine Leadership and Chief Editor of the Machine Leadership Journal
COURSE OVERVIEW
Master AI Tools and Methods
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
Live Facilitated Instruction
Course Objectives
Sample Chapter
LEARNING AGENDA
Course Design
Week 1
Learning Objectives
-
Building the Use Case
-
Data Collection
-
Stakeholder Review
-
Pre-Read Process
Class Exercises
-
Case Study - 1
-
Group Simulations
-
Live Practice Steps (1-4)
-
Review of AI Tools
Deliverable
-
Presentation Proposal
Week 2
Learning Objectives
-
Telling the Story
-
Handling Q&A
-
Managing Follow-Up
-
Ethical Constraints
Class Exercises
-
Case Study - 2
-
Group Simulations
-
Live Practice Steps (5-8)
-
Review of AI Tools
Deliverable
-
Presentation Outline
Week 3
Learning Objectives
-
Descriptive Statistics
-
Regression
-
Dimension Reduction
-
Time Series Forecasting
Class Exercises
-
Research Techniques
-
Group Simulations
-
Live Practice - Data
-
Review of AI Tools
Deliverable
-
Final Presentation
WHAT YOU WILL EARN
Key Benefits of the Course
-
Certificate of Completion.
-
Digital Badge.
-
16 Recertification Credits (if applicable).
-
Access to Networking Opportunities.
-
Learn 36 AI Tools focused on Storytelling.
-
Coaching Feedback on Presentation Skills.
WORLDCLASS INSTRUCTION
Meet your Instructor
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
SELF-DIRECTED COURSE (1 Day)
Want a shorter option?
Focused Content
-
Data Presenter's Cycle
-
Learn Critical AI Tools
-
Data Analysis Techniques
-
Class Exercises
-
Community Network
Learn on your schedule with self-directed videos, class exercises, and templates to unlock your data skills.
Flexible Delivery
DURATION
6 hours
AVAILABILITY
Online
Self Directed and Asynchronous
PRICE
US $50
Or included in membership plan
The Data Presenter's Cycle
Learn the steps that drive effective data presentations including collection, stakeholder review, and storytelling.
AI Tools that Support Presentations
Master the AI tools that support data presentations including Generative AI slides, images, and summaries.
Compelling Storytelling
Examine the way executives learn and remember data, while applying practices that help drive retention.
bottom of page