AI and Quantum Computing Awareness for Managers

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Audience: Managers and Execs

Duration: 1 day (or two half-day sessions)

Format: Lectures and demos (50% – 50%)

Overview

A hands-on awareness program for corporate managers, executives, and decision-makers to understand the fundamentals of Artificial Intelligence (AI) and Quantum Computing (QC), their intersection, and the potential applications in business strategy—without the math.

Objective

Objective coming soon.

What You Will Learn

Explain the key concepts of AI and Quantum Computing in business terms
Identify real-world use cases and emerging applications across industries
Evaluate strategic opportunities and risks of AI + Quantum integration
Understand the current state of technology, vendors, and ecosystem
Develop a roadmap for organizational readiness and pilot projects

Course Details

Audience: Managers and Execs

Duration: 1 day (or two half-day sessions)

Format: Lectures and demos (50% – 50%)

Prerequisites:

None

Setup: Browser

Detailed Outline

The age of AI: where we are today (LLMs, automation, analytics)
The promise of Quantum Computing: why it matters, where it’s headed
Why combine AI + Quantum: optimization, simulation, new paradigms
Awareness vs. hype: separating facts from marketing

AI: machine learning, deep learning, generative AI—explained simply
Quantum basics: qubits, superposition, entanglement
Key differences from classical computing
Analogies and metaphors managers can use with their teams

Finance: risk optimization, fraud detection, portfolio simulation
Healthcare & Pharma: drug discovery, molecule simulation
Manufacturing & Logistics: supply chain optimization, routing, materials design
Energy: smart grids, optimization of energy usage
Cross-industry: personalization, knowledge search, scheduling
Case studies (e.g., Goldman Sachs, Volkswagen, Roche)

Who’s who: IBM, Google, Microsoft, AWS Braket, D-Wave, IonQ
Startup ecosystem: Xanadu, Zapata, Rigetti, Quantinuum
How AI vendors are beginning to integrate QC
Hardware vs. software maturity: what’s ready, what’s still experimental

Timelines: short-, medium-, and long-term impact expectations
Investment considerations: avoid hype, look for real signals
Cybersecurity and ethical implications
Workforce readiness: reskilling and upskilling needs

How to start: partnerships, pilots, research collaborations
Building awareness in your organization
Identifying early-use cases in your sector
Preparing teams for a hybrid AI + QC future

Guided notebook combines a simple AI classifier with a quantum-enhanced kernel
Run via IBM Qiskit or PennyLane simulator
No coding required—follow-along demo for a “wow” moment

Executive-friendly definitions of key terms
Case study summaries (finance, pharma, logistics)
Manager’s checklist: “10 Questions to Ask Your Team About AI + Quantum Readiness”