Course Overview

Artificial intelligence is rapidly evolving with significant implications for how we work across industries. This introductory course provides a practical foundation for understanding AI's capabilities and limitations, helping you make more informed decisions about where automation might make sense and where human judgment remains important. Drawing from real-world experience in data-intensive environments, you'll explore AI fundamentals, learn what tasks AI genuinely handles well, and develop a systematic approach for evaluating automation opportunities in your work.

AI Fundamentals & Reality Check

Understand what artificial intelligence actually is, how it connects to automation, and the emerging role of agentic AI in modern workflows. We'll focus on practical applications rather than theoretical possibilities.

AI's Core Strengths & Limitations 

Discover the specific tasks and tools where AI delivers measurable value in both personal and professional contexts. Learn to recognize what AI cannot reliably handle, helping you avoid implementation mistakes.

Strategic Automation Decisions

Develop practical criteria for determining what processes benefit from automation versus those requiring human oversight, judgment, and expertise.

Learning Outcomes

By the end of this course, you will be able to:   ✓ Explain what artificial intelligence is and distinguish between different AI categories and their applications.  ✓ Identify tasks where AI provides genuine value versus areas where human capabilities remain superior.  ✓ Describe how AI and automation can work together to enhance productivity. ✓ Apply a systematic approach to evaluate automation opportunities in your organization.  ✓ Effectively communicate AI benefits and limitations to colleagues across departments.

Why This Course Matters

Teams across industries face the same challenge: knowing which processes should be automated and which require human judgment. Without a systematic approach, organizations often automate the wrong things, creating new problems instead of solving existing ones. This commonly leads to teams wasting time on manual tasks that could run automatically, while also dealing with broken automated processes that need constant human intervention. The outcome is frustration, reduced productivity, and questions about whether AI implementation is worth the effort.

Course Curriculum

5 Chapters · 13 Lessons

  1. 1

    AI Fundamentals

    1. (Included in full purchase)

      What is Artificial Intelligence?

    2. (Included in full purchase)

      The Connection Between AI and Automation

    3. (Included in full purchase)

      Understanding Agentic AI and Its Applications

    4. (Included in full purchase)

      How AI Systems Are Actually Built

  2. 2

    What is AI Actually Good At?

    1. (Included in full purchase)

      Core Tasks Where AI Excels

    2. (Included in full purchase)

      Personal Applications of AI Tools

    3. (Included in full purchase)

      Professional Use Cases in Data-Intensive Work

  3. 3

    Understanding AI's Limitations

    1. (Included in full purchase)

      What AI Cannot Reliably Do

    2. (Included in full purchase)

      Common AI Implementation Failures

  4. 4

    Strategic Automation Decisions

    1. (Included in full purchase)

      Framework for Evaluating Automation Opportunities

    2. (Included in full purchase)

      When Human Judgment is Essential

  5. 5

    Moving from Theory to Practice

    1. (Included in full purchase)

      Implementing Changes While Preserving Human Expertise

    2. (Included in full purchase)

      Planning Your Next Steps

Ready to Make Better Automation Decisions?

Format: Self-paced online modules Duration: Approximately 4-5 hours of content Course Opens: October 1st, 2025   Join this course to develop a systematic approach for evaluating what to automate versus what to keep human in your work environment. Early Bird Pricing Available: $300 (20% discount available through September 17th). 

$300.00

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