Building Human + AI Systems for Automation and Innovation

Building Human + AI Systems: Workflows, Automation, Innovation & Future Skills

This course focuses on the transition from personal use to systemic adoption, addressing the challenges of alignment, communication, workflow design, and continuous learning.

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Course curriculum

1. Segment 00: Welcome Reading - Welcome to the Course: Course Overview
2. Segment 01: Intro Video to Course
3. Segment 02: Module Introduction
4. Segment 03: Barriers to AI Adoption in Teams
5. Segment 04: Building Trust in AI Systems
6. Segment 05: Aligning AI Use with Team Objectives
1. Segment 06: Communicating AI Insights Effectively
2. Segment 07: AI Output Excellence: Turning Responses into Clear and Actionable Insights
3. Segment 08: Overcoming Skepticism and Resistance
1. Segment 09: Challenges of Remote Collaboration with AI
2. Segment 10: AI Tools for Asynchronous Collaboration
3. Segment 11: Improving Team Productivity with AI Systems
4. Segment 12: Reading - Engaging with AI
5. Segment 13: Hands-On-Learning: Designing an AI Adoption Strategy
6. Segment 14: Quiz - Team-Level AI Adoption and Communication
1. Segment 15: Module Introduction
2. Segment 16: Foundations of Workflow Automation
3. Segment 17: Connecting Systems with No-Code Tools
4. Segment 18: Scaling Automation Across Teams
1. Segment 19: Implementing Human Processes to Oversee Automation
2. Segment 20: Validating AI Outputs in Workflow Systems
3. Segment 21: Ensuring Reliability in AI Systems
1. Segment 22: Selecting the Right AI Tools for Workflows
2. Segment 23: Building a Cohesive AI Toolkit
3. Segment 24: Managing Tool Sprawl and Complexity
4. Segment 25: Reading - OpenAI: Prompt Engineering
5. Segment 26: Hands-On-Learning: Designing AI Workflow Automation
6. Segment 27: Quiz - Workflow Automation and System Design
1. Segment 28: Module Introduction
2. Segment 29: AI for Continuous Learning Systems
3. Segment 30: Tracking Learning Progress with AI
4. Segment 31: Building Feedback Loops for Improvement
1. Segment 32: Understanding AI Case Studies
2. Segment 33: Extracting Lessons from Case Studies
3. Segment 34: Applying Case Study Insights to Workflows
1. Segment 35: Translating Insights into Organizational Action
2. Segment 36: Designing AI Improvements for Teams
3. Segment 37: Measuring Organizational Impact of AI
4. Segment 39: Hands-On-Learning: Building an AI Measurement Framework
5. Segment 38: Reading - Lara Cobing AI Hype to Reality: Practical Applications in eLearning
6. Segment 39: Quiz - Learning Systems and Real-World Application
7. Segment 40: Course Wrap-Up
8. Segment 41: Project: Designing and Measuring AI-Enhanced Team Workflows

About this course

Free
43 lessons
3.5 hours of video content

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Building Human + AI Systems: Workflows, Automation, Innovation & Future Skills

Course curriculum

Chapter 1: Driving AI Adoption in Teams

Chapter 2: Communicating AI Value to Stakeholders

Chapter 3: AI in Remote and Hybrid Collaboration

Chapter 4: Automating Workflows with No-Code AI Tools

Chapter 5: Designing Human-in-the-Loop Systems

Chapter 6: Building and Managing Your AI Toolkit

Chapter 7: Using AI for Continuous Learning and Skill Development

Chapter 8: Analyzing Real-World AI Case Studies

Chapter 9: Applying Lessons to Organizational Contexts

About this course

Discover your potential, starting today