A proposed public professional course

Make better
decisions about
AI.

Leased Intelligence: Applied AI Strategy, Governance, and Business Value

Bring a real workplace problem. Leave with an assessed recommendation and a practical plan for what comes next.

The course foundation
Leased
Intelligence
AI on Demand in Quantum Era
Dr. Atif Farid Mohammad

Illustrative cover · One book. Real-world application.

6 weeksA guided learning cohort
4 hours / weekInstruction + applied work
No codingOpen to nontechnical participants
One capstoneYour own workplace challenge
The recommendation

From understanding AI
to deciding well.

The value is in the decision you can defend, and the work you can put into practice.

The book provides a foundation in AI access versus ownership, economics, technology, ethics, legal considerations, case studies, and future developments. This proposed program turns those subjects into decisions and practical work products.

Launch as an assessed certificate program, with IUTI as the proposed certificate issuer and Bryan Management Solutions handling enrollment and delivery, subject to an agreed arrangement. Quantum computing remains a future-readiness component within the course.

A well-supported decision that AI is unsuitable for your problem should earn credit, just as a sound recommendation to adopt it should.
The six-week learning journey

One problem.
A stronger plan, every week.

Approximately two hours of instruction and discussion, plus two hours applying the material each week. Select a week to explore its work product.

WEEK 01Understand leased intelligence. Define the problem.

Learning focusUnderstanding leased intelligence and defining a manageable workplace problem.

Your work productA problem statement, current baseline, and success measures.

WEEK 02Build, buy, lease, or combine?

Learning focusComparing build, buy, lease, and combined approaches.

Your work productAn options comparison and initial business case.

WEEK 03Select tools. Design the workflow.

Learning focusSelecting tools and designing a workflow that fits the problem.

Your work productA vendor evaluation and proposed workflow.

WEEK 04Put accountability into the plan.

Learning focusData, ethics, security, and accountability.

Your work productA risk register and human review plan.

WEEK 05Test the value. Prepare for adoption.

Learning focusTesting value and preparing adoption.

Your work productA small experiment, evaluation results, and adoption plan.

WEEK 06Present a recommendation you can defend.

Learning focusPresenting a defensible recommendation.

Your work productA capstone presentation and ninety-day implementation roadmap.

24 planned learning hours · Weekly clinics and feedback · One connected project from start to finish

Who it’s for

One foundation.
Different applications.

Welcome a broad audience, with assignments suited to each role. Select your role to see the kind of question you could explore.

Your starting question
Where should we invest in AI, and what accountability should remain with leadership?

Apply the same course foundation to a challenge relevant to your responsibilities.

No workplace case? A realistic fictional case should be provided so enrollment remains open to everyone.

Learning through workplace problems

Build a portfolio.
Not just a set of notes.

01 / Define

Start with your context

At enrollment, submit your role, problem, current process, desired outcome, and constraints. Refine the scope into something manageable within six weeks.

02 / Develop

Keep improving one project

Every module adds to the same project. Weekly clinics provide questions, feedback, and learning across roles. Use anonymized or synthetic information in shared sessions.

03 / Defend

Show your reasoning

Graduate with a portfolio you can discuss with your employer. Provide private submission options for sensitive work. AI assistance may be allowed when learners disclose its use and verify resulting claims.

The proposed credential

Assessed learning.
Practical evidence.

An assessment-based certificate teaches defined learning outcomes and evaluates whether participants achieved them. Professional certification is a different model intended to demonstrate broader competence.

  • Complete the core modules.
  • Pass a knowledge assessment.
  • Submit a capstone meeting a published rubric.
  • Explain and defend the recommendation in a short instructor review.
  • Revise unsuccessful submissions before receiving the certificate.
Proposed award title

Professional Certificate
in Applied
Leased Intelligence

Proposed issuer: IUTI
Subject to a confirmed operating arrangement

Strategy · Governance · Business value

Illustrative credential concept

Include a unique certificate number, verification link, issue date, learning hours, and assessed competencies. Attendance alone could earn a separate completion certificate.

Proposed noncredit professional education. The supplied review did not verify IUTI’s credentialing authority or accreditation and could not retrieve the Bryan Management Solutions website. Confirm issuer status and applicable requirements before advertising awards.
Proposed operating model

A clear responsibility
for every part.

Use one enrollment experience and one learning platform, with both websites directing learners there. Clearly identify the payment recipient and certificate issuer.

Responsibilities are proposed and subject to agreement.
FunctionProposed responsibility
Marketing, enrollment, payments, learner supportBryan Management Solutions
Curriculum approval, assessment standards, certificate recordsIUTI
Instruction, clinics, capstone feedbackDr. Atif Farid Mohammad and approved instructors
Course materials and book usageCovered by a written content and licensing agreement
Launch recommendation

Start small.
Learn from the pilot.

Pilot with fifteen to twenty participants. The strongest offer is an assessed plan for addressing each learner’s workplace problem, supported by the book and instruction.

Before recording lessons, check the book’s statistics, references, and case-study outcomes. Source precise results or label examples as illustrative, and refresh the regulatory material.

Explore common questions
Questions, answered

Before the first cohort.

Do I need coding experience?

No. The proposed course is open to participants without coding experience. The focus is strategy, practical decisions, governance, and evaluating business value.

What if AI is not the right solution?

A well-supported decision against using AI should earn credit. Assessment should evaluate evidence, reasoning, and the quality of the recommendation.

Can I participate without a workplace project?

Yes. A realistic fictional case should be offered to participants who cannot use a workplace case.

How will confidential work be handled?

Use anonymized or synthetic information during shared sessions. Private submission options should be provided for work that cannot be discussed with the cohort.

Is this professional certification or an accredited academic course?

The recommendation is an assessment-based professional certificate, described as noncredit professional education unless another status is established. Credentialing authority and accreditation have not been verified in the supplied review.

Is enrollment open?

This page presents a proposed program. Enrollment dates, the final price, payment recipient, and certificate issuer arrangement have not been confirmed.

Sources and referenced websites

This website presents the supplied course recommendations. Referenced organizations, responsibilities, pricing, and credentials remain proposals pending confirmation.