Build the capability to lead organizational AI transformation from Texas McCombs

Post Graduate Program in AI and Agentic AI for Leaders

Application closes on 17th Sep 2026

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Top rated AI course for leaders

Application closes 17th Sep 2026

Why Should You Join This Program?

Develop AI Strategy Judgment

Build the judgment to identify and prioritize AI opportunities, evaluate technology and data readiness, assess business value, and make informed decisions about AI investments.
Texas McCombs Is a Top-Ranked US University

Learn from a top U.S. business school, ranked #1 in Information Systems, #6 for Master’s in Business Analytics, #7 in Artificial Intelligence, and #9 in Business Analytics in the U.S.

LEARNING OUTCOMES

What Will You Learn to Build and Apply?

Through a structured no-code learning journey, you will build the capability to:

Develop a holistic understanding of the AI and Agentic AI landscape
Identify, scope, and evaluate AI and Agentic AI projects without the need for coding
Assess organizational data readiness and govern AI risks to drive defensible and compliant initiatives
Build a defensible, board-ready AI business strategy to lead the prioritization and scaling of AI initiatives
Redesign business processes for Agentic AI automation by applying human-in-the-loop principles
Effectively organize and manage cross-functional AI teams for efficient project execution

Earn a certificate of completion and CEUs from Texas McCombs, a top-ranked U.S. University

#1 (U.S., Big Data Management) in MS Business Analytic

Eduniversal (2025)
#6 Analytics

U.S. News & World Report (2025)
#6 Business Programs

U.S. News & World Report (2025)
#7 in MS - Business Analytics

QS World University Rankings (2022)
#7 in MS Business Analytics

The Financial Engineer Times (2025)
#3 in Information Systems Graduate Programs

U.S. News & World Report (April 2025)
#7 Public University in the U.S.

U.S. News & World Report, 2026
#6 in Executive Education - Custom Programs

Financial Times, 2022

Key program highlights

Why Choose This Program?

Learn from Texas McCombs Faculty

Access a curriculum designed and taught through recorded lectures by Texas McCombs faculty, combining academic rigor with practical frameworks for AI decision-making
No-Code Learning Approach

Develop AI and analytical judgment using no-code AI and analytics tools without requiring a programming background
Attend Weekly Live Mentorship Sessions with Industry Experts

Learn from AI practitioners through interactive sessions featuring real-world use cases, decision frameworks, and industry insights
Get Personalized Learning Support

Receive guidance from the Program Support Team, academic support, discussion forums, peer groups, and the Great Learning community
Work on an AI Strategy Capstone Project

Apply program frameworks to a real or realistic business problem and develop a board-ready AI Strategy Blueprint aligned with business goals and priorities
Earn a Recognized Credential from Texas McCombs

Earn a Certificate of Completion from Texas McCombs upon successfully completing the program, along with Continuing Education Units

Skills you will learn

Agentic AI

Generative AI

AI Strategy Development

POC-to-Production Readiness

Predictive AI and Model Evaluation

AI Technology Evaluation

Build vs. Buy Decision-Making

Prompt Engineering

Strategic MLOps

LLMOps

AgentOps Governance

AI Team Design and Talent Strategy

AI ROI Assessment

AI Ethics and Regulatory Risk Assessment

Executive AI Strategy Communication

Agentic AI

Generative AI

AI Strategy Development

POC-to-Production Readiness

Predictive AI and Model Evaluation

AI Technology Evaluation

Build vs. Buy Decision-Making

Prompt Engineering

Strategic MLOps

LLMOps

AgentOps Governance

AI Team Design and Talent Strategy

AI ROI Assessment

AI Ethics and Regulatory Risk Assessment

Executive AI Strategy Communication

Who Is the Program For?

Senior leaders and decision-makers looking to drive AI adoption, innovation, and business transformation

View Batch Profile

CXOs and Business Leaders

Who want to leverage AI and Agentic AI to sharpen strategy, enhance decision-making, and strengthen competitive positioning.
Operations, Marketing, and Finance Leaders

Who want to identify, prioritize, and govern AI and Agentic AI initiatives within their function.
Technology and Product Leaders

Who want to evaluate AI and Agentic AI technology choices and lead initiatives from pilot to production, without needing to code.
Entrepreneurs, Consultants, and Solution Builders

Who want to evaluate, scope, and lead AI and Agentic AI deployments without needing to be data scientists or engineers.

How's the Learning Experience of the Program?

Build strategic judgement and human intuition with our unique structured learning approach

Learn from Experts

Learn from Texas McCombs faculty and industry experts to master AI strategy and implementation
Learn By Doing

Work on business problems using no-code tools & build an e-portfolio of AI projects
Earn a University Credential

Earn a certificate of completion and 5 Continuing Education Units (CEUs) from Texas McCombs
Get Support Throughout the Learning Journey

Program managers will help you stay on track, navigate key milestones & complete the program

What Will You Learn in the Program?

Our curriculum develops the AI, analytical, and strategic judgment needed to evaluate opportunities, assess technology and data readiness, make informed AI investment decisions, and lead initiatives from strategy and solution design to production.

PRE-WORK MODULE

Explore the fascinating history of AI, learn key AI concepts and terminology, and discover how AI is transforming industries through real-world applications.

Concepts Covered

- Introduction to the World of Data and AI - Transforming Industries Through Artificial Intelligence and Data Science

WEEK 1 | AI LANDSCAPE AND OPPORTUNITY MAPPING

Cut through AI hype to identify which AI investments are strategically durable, assess your organization's AI maturity, and develop a prioritized AI investment map aligned with your business goals.

Concepts Covered

- Distinguish durable AI opportunities from AI hype across industries - Assess your organization's AI maturity and readiness - Align business goals with a prioritized AI investment map - Avoid the "solution in search of a problem" trap - Get hands-on with prompt engineering as a foundational AI skill Optional Hands-on Exercise: Prompt Engineering using ChatGPT, Claude, and Gemini

WEEK 2 | PREDICTIVE AI: ALGORITHM INTUITION AND MODEL EVALUATION

Predictive AI already drives many of the decisions your organization makes today, from credit approvals to demand forecasting. This week builds your judgment for evaluating predictive AI solutions by helping you understand these algorithms in plain language, how to identify a flawed model before it becomes costly, and the governance questions to ask before approving production deployment.

Concepts Covered

- Frame business problems in machine learning terms and evaluate the right algorithm for the task - Distinguish technical accuracy from real business value - Differentiate between a model that performs well and one that is fit for purpose - Identify the governance questions to ask before approving a production model - Recognize where a predictive AI project is most likely to fail Optional Hands-on Exercise: Predictive AI using a No-Code AI Tool

WEEK 3 | GENERATIVE AI, MULTIMODAL AI, AND PROMPT MASTERY

Generative AI has moved from novelty to necessity, but most organizations are still evaluating important use cases and trustworthy architectures. This week provides a practical mental model of how Large Language Models (LLMs) generate language, hands-on prompting experience, and a framework for scoring and prioritizing a portfolio of GenAI use cases across value, feasibility, and risk.

Concepts Covered

- Explain how GenAI and LLMs work without needing to understand the underlying mathematics - Choose the right architecture, including RAG, fine-tuning, or prompting, for a business problem - Score and prioritize a portfolio of GenAI use cases based on value, feasibility, and risk - Understand what drives the true cost of a GenAI deployment - Know what to monitor once GenAI is running in production Optional Hands-on Exercise: Retrieval-Augmented Generation (RAG) using Gemini Notebook

WEEK 4 | AGENTIC AI AND INTELLIGENT AUTOMATION

Agentic AI is the next leadership frontier, and the biggest barrier is not the technology. It is automating a broken process at scale and at speed. This week helps you distinguish agents from GenAI, redesign a real business process for agent-led automation, and build the governance and change management plan required for safe deployment.

Concepts Covered

- Distinguish Agentic AI from GenAI and identify which processes are ready for automation - Redesign a business process end-to-end for agent-led automation - Apply human-in-the-loop design to ensure accountability where it matters most - Communicate agent deployment to your workforce without triggering resistance - Identify the key governance questions before approving an agent for unsupervised operation Optional Hands-on Exercise: Building AI Agents Using the No-Code Workflow Automation Tool n8n

WEEK 5 | DATA STRATEGY FOR AI AND AGENTIC AI

Every AI initiative lives or dies on data readiness, and most leaders discover this only after a project has already failed. This week equips you to assess your organization's data readiness without a technical background, diagnose the governance issues that quietly undermine AI projects, and build a practical 90-day plan to address the gaps that matter most.

Concepts Covered

- Assess your organization's AI data readiness without a technical background - Diagnose the data governance issues that most commonly derail AI projects - Understand data architecture concepts well enough to ask the right questions - Build a prioritized 90-day data quick wins plan

WEEK 6 | RESPONSIBLE AI IN THE ERA OF AGENTIC AI

A single ungoverned AI deployment can cost millions. This week equips you to identify AI risk across ethics, bias, regulatory, and intellectual property (IP) dimensions, apply the NIST AI RMF and EU AI Act frameworks to assess your organization's risk posture and compliance exposure, and design a governance structure that your legal and board teams will support.

Concepts Covered

- Identify AI risk across ethics, bias, regulatory, and intellectual property (IP) dimensions - Apply NIST AI RMF and the EU AI Act's risk tiers to assess your organization's risk exposure - Design a governance structure with clear risk ownership - Build a policy checklist that your legal and board teams will support

WEEK 7 | BUILDING THE AI-FIRST ORGANIZATION

AI strategy fails without the right team behind it. This week provides a blueprint for structuring AI teams, closing the talent and capability gap without over-relying on scarce external hires, and leading the organizational change required for successful AI adoption.

Concepts Covered

- Design an AI team structure with clear roles and decision rights. - Build a talent and upskilling strategy that does not depend on scarce external hires. - Apply Agile and Scrum practices to AI project management. - Lead organizational change that addresses real resistance patterns, not just processes.

WEEK 8 | MAKING THE AI BUSINESS CASE

The single biggest reason AI initiatives get rejected is a leader who cannot answer the fundamental ROI questions. This week equips you with a total cost of ownership framework, a build versus buy versus partner decision model, and the language to communicate AI investments in terms your board will approve.

Concepts Covered

- Articulate AI value across efficiency, revenue, risk, and experience dimensions. - Apply a total cost of ownership framework to any AI investment decision. - Structure a defensible build versus buy versus partner recommendation. - Build an AI investment narrative that gets approved, not questioned.

WEEK 9 | SCALING AI: FROM STRATEGY TO PRODUCTION

Most AI pilots never make it to production, and the reasons are almost always leadership decisions rather than technical ones. This week equips you with a strategy canvas to sequence your AI roadmap, a rigorous approach to evaluating vendors, and a production readiness framework to ensure your next initiative does not stall as a permanent pilot.

Concepts Covered

- Build an AI strategy canvas that sequences investments for maximum early momentum. - Evaluate AI vendors using a rigorous, repeatable methodology. - Design a proof of concept (POC) that is structured from day one to reach production. - Identify the decisions in week one that determine success or failure in month six.

WEEK 10 | CAPSTONE: THE AI STRATEGY BLUEPRINT

The Capstone is where everything comes together. You choose one business problem, either real or a realistic hypothetical, and develop it throughout the program. Every framework introduced in the program, from algorithm intuition to governance to the business case, is applied to that problem as it is taught, allowing your strategy to evolve alongside your learning rather than being assigned at the end. Note: This is an indicative project and is subject to change.

MILESTONE 1: AI SOLUTION DESIGN

(Due at the end of week 5) From the AI, machine learning, Generative AI, and Agentic AI use cases identified across Weeks 1 to 4, you will prioritize one for your organization and demonstrate your rationale by showing how it aligns with the organization's business goals, the specific pain point it addresses, and the success metrics that will define its impact. You will then develop a solution design that identifies the most appropriate technology approach, whether predictive, generative, agentic, or a combination, explains why it is the best fit, and assesses whether the organization's data is ready to support it. Submission: An AI Solution Design Brief comprising one prioritized use case aligned with a clear business goal and pain point, a well-supported technology and data readiness rationale, and the success metrics against which the solution will be evaluated.

MILESTONE 2: AI STRATEGY BLUEPRINT

(Due at the end of week 10) You will build the complete leadership case around the solution established in Milestone 1, including the business case and ROI rationale, the governance and risk framework, the team and change management plan, and the execution roadmap from proof of concept (POC) to production. The program concludes the way real AI investment decisions are made, with a board-style presentation in which you defend your strategy and receive a funding decision. Submission: The AI Strategy Blueprint, a board-ready presentation defended live. At the end of the program, you walk away with a board-ready AI strategy for your organization, developed and refined over ten weeks.

MASTERCLASSES

Learn from industry experts to master AI strategy and implementation

AI SECURITY: WHAT EVERY LEADER MUST KNOW BEFORE AN INCIDENT

AI security isn't one problem. It's three: using AI to strengthen your defenses, protecting your AI systems from attack, and defending against attackers who now use AI themselves. Most leaders only think about one of these, usually the wrong one. This session gives you the full picture, from the cost of getting it wrong to what your organization can start doing this week.

AI FINOPS: THE COST GOVERNANCE LEADERS CAN'T DELEGATE

AI costs don't behave like traditional IT costs. Prices per token are falling, yet enterprise AI bills keep rising, because usage grows faster than price drops. Most leaders are still budgeting for AI the way they budgeted for cloud. This session gives you the questions to ask before the next invoice surprises you, and the governance model to make sure it never does again.

ANTHROPIC

This masterclass introduces the role of Anthropic and the capabilities of Claude models. You will explore concepts such as Constitutional AI, safety, and alignment, and apply effective prompting techniques to generate structured outputs. The masterclass also covers basic API usage, simple application development, model comparisons, and key ethical considerations in deploying AI systems.

SELF-PACED MODULE: CLAUDE BASED AI WORKFLOWS

This module is designed to build practical capability in applying Generative AI and Agentic AI using the Claude ecosystem in real-world contexts. Participants build the ability to design, execute, and evaluate AI-driven workflows for real-world applications, supported by structured learning. *Disclaimer: Access to tools within the Claude ecosystem is not included as part of the program. Participants may choose to explore advanced capabilities independently.

Design and Execute AI Workflows

- Model selection and prompt engineering using Claude Chat - Agentic workflow design and orchestration using Claude CoWork - Plan → Approve → Execute → Iterate framework - Designing workflows with reasoning, tools, and multi-step execution - Applying concepts through real-world case studies

Build and Deploy AI Systems at Scale

- API integration and model usage using Claude Code - Tool integration using the Model Context Protocol - Designing agentic systems with memory, tools, and orchestration - Performance optimization, cost considerations, and system reliability - Responsible AI principles, including alignment approaches such as Constitutional AI

Note: The curriculum listed above are indicative and subject to updates as technology evolves.

Which No-Code AI tools will you work on?

Learn to evaluate AI solutions and apply AI frameworks to business problems with no-code tools.

n8n
ChatGPT
Gemini
Gemini Notebook
Claude

Note: The tools listed above are indicative and subject to updates as technology evolves.

Earn a Certificate of Completion From Texas McCombs

Earn a Certificate of Completion from the McCombs School of Business at The University of Texas at Austin upon successfully completing the program, along with Continuing Education Units.

* Image for illustration only. Certificate subject to change.

Who Are the Faculty for the Program?

Learn from renowned Texas McCombs faculty and build technical intuition to make credible, strategic decisions

Dr. Kumar Muthuraman

Faculty Director, McCombs School of Business, The University of Texas at Austin

Faculty Director, Center for Analytics and Transformative Technologies

21+ years' experience in AI, ML, Deep Learning, and NLP.

Know More
Dr. Abhinanda Sarkar

Senior Faculty & Director Academics, Great Learning

30+ years of experience in data science, ML, and analytics.

Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.

Know More

What are the Reviews for the Program?

Learners share their feedback on the faculty, mentors, hands-on projects, and overall learning experience

5.0

A program worth taking

I would tell an aspiring learner that this is a program worth taking. In fact, I have already done that with someone who contacted me. I found the program very thorough, well structured, and worth the time and investment to complete.

Read More

Carlos Garcia

8-12 yrs

Jun 2026
5.0

One of the most valuable parts of the learning experience

I would highly recommend this program to anyone looking to understand AI from a business leadership perspective. The curriculum strikes a great balance between theory and practical application, making it suitable for professionals from diverse backgrounds. Come with curiosity, actively participate in discussions, and embrace the capstone project—it is one of the most valuable parts of the learning experience.

Read More

Varun

A P Moller Maersk A/s

Transportation & Logistics >15 yrs

Jun 2026
5.0

It's well worth it in the end to thrive in the upcoming AI era

Just take the plunge—this course allows you to learn at your own pace, and it's well worth it in the end to thrive in the upcoming AI era.

Read More

Hariprasad N Subramaniyan

Staff Product Manager, CARIAD Inc.

Automobile >15 yrs

Jun 2026
4.0

A great learning experience

After graduating from college about 40 years ago, taking this AI/ML course reminded me how powerful and relevant mathematics remains in solving real-world problems. The course provided an excellent introduction to the applications of math, statistics, and data science in modern artificial intelligence and machine learning. It was a great learning experience, and I look forward to applying these concepts in practical, real-world situations.

Read More

Ashley Klein

>15 yrs

Jun 2026
5.0

Understand AI from a business and leadership perspective

I would tell an aspiring learner to join this program with an open and practical mindset. It is especially useful if you want to understand AI from a business and leadership perspective rather than becoming a programmer. The program helps you learn how to identify AI opportunities, evaluate ROI, manage AI projects, work with technical teams, and apply Generative AI responsibly. The projects, live sessions, industry examples, and capstone make the learning highly relevant to real business challenges. I would recommend staying consistent, participating actively, and applying the concepts to your own work as you learn.

Read More

Sudarsan Raghavan

Walmart Inc

Transportation & Logistics >15 yrs

Jun 2026
5.0

Absolutely worthwhile

It is a time investment, but absolutely worthwhile.

Read More

Karsten Kamin

Essity

Retail, Marketing & Advertising >15 yrs

Jun 2026
4.0

Help learners stay relevant in a rapidly changing world

I would strongly encourage anyone considering this program to enroll. The program is engaging, practical, and easy to follow, even for those without a technical background. It provides valuable insights into artificial intelligence and its growing impact on leadership, business, and society. The knowledge and skills gained from the program can help learners stay relevant in a rapidly changing world and identify new opportunities for innovation and growth. The program also encourages critical thinking about the ethical and responsible use of AI.

Read More

Abdullahi Babani

Tropical Concerns Limited

Real Estate & Construction >15 yrs

Jun 2026
5.0

Embrace Artificial Intelligence as a leadership opportunity

My advice to any aspiring learner is to embrace Artificial Intelligence as a leadership opportunity, not only as a technology trend. AI is reshaping industries, business models, and the way organizations create value. This program is a great opportunity for professionals and leaders who want to understand AI practically, think strategically, and prepare themselves for the future. Stay curious, keep learning, and focus on how AI can solve real business challenges and create meaningful impact.

Read More

Ahmed Hammadeh

IT & Technology >15 yrs

Jun 2026
5.0

A worthwhile investment in your professional growth

I would highly recommend this program to professionals and leaders who want to understand the real business impact of AI. The program provides both strategic and practical knowledge, making it valuable whether you are leading teams, driving innovation, or preparing your organization for the future. The insights, frameworks, and hands-on experience make it a worthwhile investment in your professional growth.

Read More

Jesus

IT-and-Technology >15 yrs

Jun 2026
4.0

It will surely impact your life positively

I would like to encourage anyone joining this program to make sure they have enough spare time to fully participate, as it is packed with knowledge and includes deadlines to meet and hands-on projects to complete. It will surely impact your life positively.

Read More

Victoria Ezioma Amaraizu

Zenith Bank Plc

Finance, Insurance & Banking Services >15 yrs

Jun 2026

Read All reviews

Watch Inspiring Success Stories

Our learners experience

Watch story

"A comprehensive program that builds strong foundations, real-world expertise, and client-focused solutions"

This program offers exceptional AI content, expert mentorship, and practical skills, helping me master AI foundations, implement solutions, and deliver greater value to my clients.

Tauhid Abddul Jalil

Principal Solutions Consultant , Laiye
Watch story

"Expert-led mentorship, specialized sessions, and real-world projects make this program perfect for AI leaders"

This program, designed for leaders, offers expert-led mentorship, hands-on projects, and in-depth AI learning, helping me explore diverse AI applications and advance my career.

Usha Boddapu

CEO/Founder , Esolvit Inc.
Watch story

"This course delivered real-world AI knowledge, expert support, and the flexibility to balance work and study"

This comprehensive AI program, with expert mentorship and hands-on learning, provided real-world knowledge and flexibility to balance work, enhancing my career and AI application skills.

Gregory Thompson

Vice President Supply Chain , Carnival Cruise Line

Course Fees

The course fee is USD 3,100

Invest in your career

10 Weeks Online: Build AI and analytical judgment for leadership
Structured Learning: Learn through faculty-led content, live mentorship sessions, and hands-on activities
Dedicated Mentorship: Learn from industry experts through live sessions focused on AI use cases
Earn a globally recognized Texas McCombs certificate of Completion and CEUs upon program completion

Take the next step

00 : 00 : 00

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Application Closes: 17th Sep 2026

Talk to our advisor for offers & course details

Admission Process

Admissions close once the required number of participants enroll. Apply early to secure your spot

1. Fill application form

Apply by filling a simple online application form.
2. Interview Process

A panel from Great Learning will review your application to determine your fit for the program.
3. Join program

After a final review, you will receive an offer for a seat in the upcoming cohort of the program.

Limited seats available

Apply today and become an AI enabled leader

Batch Start Date

Online · To be announced

Admissions Open

Apply Now

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Frequently Asked Questions

Program Details

Faculty, Curriculum and Projects

Eligibility & Admission

Fee & Payment

Career-Related Queries

General Queries

Role-Based Queries

Program Details

Does the program teach AI without requiring coding?

Yes. The program is designed to help business managers, leaders, and CXOs identify, scope, and evaluate AI and Agentic AI projects without coding. Optional hands-on activities include predictive AI using a no-code tool and building AI agents using n8n.

What makes this program different from a general AI course for managers?

Unlike other AI courses for managers, the Post Graduate Program in AI and Agentic AI for Leaders combines AI strategy with Agentic AI leadership. Alongside predictive and Generative AI, learners cover agent-led automation, human-in-the-loop design, data readiness, responsible AI, AI FinOps, security, vendor evaluation, and POC-to-production planning. The capstone brings these capabilities together into a board-ready AI Strategy Blueprint.

Will I receive a certificate after completing the program?

Yes. Upon successful completion of the program, participants receive a Certificate of Completion from The University of Texas at Austin, along with Continuing Education Units (CEUs).

Faculty, Curriculum and Projects

What does the curriculum for this program cover?

The curriculum covers AI opportunity mapping, predictive AI and model evaluation, Generative AI and multimodal AI, Agentic AI and intelligent automation, data strategy, responsible AI, AI-first organizations, AI business cases, and scaling AI from strategy to production. It also includes masterclasses on AI Security and AI FinOps.

Does the program cover Machine Learning for leaders?

Yes. Predictive AI is covered through algorithm intuition, model evaluation, business problem framing, and governance. The focus is on helping non-technical leaders understand algorithm fit, evaluate model utility, and ask the right questions when assessing AI solutions.

What is the AI Strategy Capstone Project?

The Executive Capstone requires learners to select a real or realistic hypothetical business problem and develop an AI strategy around it. The project progresses from AI Solution Design to an AI Strategy Blueprint covering technology selection, data readiness, ROI, governance, team structure, change management, and the path from POC to production.

What is the outcome of the AI Strategy Capstone?

The final outcome is an AI Strategy Blueprint that learners present and defend before a panel of senior leaders. The project helps participants communicate their strategy and respond to potential CFO, CEO, and board-level questions.

Who is the faculty for this program?

The faculty includes Dr. Kumar Muthuraman, Faculty Director of the Center for Research and Analytics at McCombs School of Business, The University of Texas at Austin, and Dr. Abhinanda Sarkar, who has academic and industry experience including Stanford University, MIT, IBM, and GE.

Which AI tools are covered in the program?

The tools covered in this program include: KNIME Analytics Platform, n8n, ChatGPT, Gemini, Gemini Notebook, and Claude. Hands-on activities include prompt engineering, predictive AI using a no-code tool, RAG using Gemini Notebook, and AI-agent building using n8n.

Eligibility & Admission

Is this program suitable for non-technical professionals?

Yes. The program is designed for non-technical professionals who want to develop the AI, analytical, and strategic judgment needed to identify AI opportunities, assess readiness and business value, make informed AI investment decisions, and shape AI strategies aligned with organizational goals.

Is this program useful for experienced professionals?

Yes. It can be particularly relevant for professionals responsible for strategy, operations, product, delivery, transformation, or business decision-making. The program focuses on evaluating Agentic AI opportunities, redesigning processes, establishing human oversight, managing organizational change, and scaling AI responsibly.

Fee & Payment

What is the fee for the Post Graduate Program in AI and Agentic AI for Leaders?

Please contact your Program Advisor for detailed information regarding the fee structure.

Career-Related Queries

What skills do AI leaders need?

AI leaders need the ability to identify and prioritize AI opportunities, evaluate predictive and Generative AI solutions, assess Agentic AI opportunities, evaluate data readiness, manage AI risks, build business cases, evaluate vendors, and communicate AI strategy to senior stakeholders. These are among the capabilities covered in the program.

How can managers use AI to improve business outcomes?

Managers can use AI to identify high-value opportunities, evaluate AI solutions, redesign business processes, prioritize Generative AI use cases, build business cases, assess AI investments, and establish governance. The program emphasizes connecting AI and Agentic AI initiatives to business goals and informed decision-making.

General Queries

How to build Agentic AI workflows?

To approach an Agentic AI workflow, start by identifying a business process suitable for automation, redesigning the process around AI agents, defining where agents can act autonomously, and establishing appropriate human oversight and governance.
In this program, learners explore these concepts from a business and leadership perspective. The Agentic AI and Intelligent Automation module covers distinguishing agents from Generative AI, identifying automation-ready processes, redesigning business processes for agent-led automation, and applying human-in-the-loop principles. Learners also have an optional hands-on activity using n8n, a no-code workflow automation tool.

What is an Agentic AI leader?

An agentic AI leader is a professional who can identify suitable opportunities for AI agents, redesign business processes for agent-led automation, evaluate associated risks, and establish appropriate human oversight and governance. The program develops these capabilities through its Agentic AI, process redesign, human-in-the-loop, governance, and change-management curriculum.

Role-Based Queries

How can leaders use AI?

Business leaders don’t need to code or become data scientists to use AI effectively. They can
focus on:
● Identifying opportunities: Map AI use cases to business goals and assess
organizational readiness.
● Evaluating AI solutions: Assess predictive and generative AI projects for business
value, feasibility, accuracy, and risk.
● Redesigning workflows: Use agentic AI to automate processes while keeping humans
involved in critical decisions.
● Improving data readiness: Identify data gaps and build action plans to support
successful AI adoption.
● Driving ROI: Evaluate TCO, build-vs-buy decisions, AI costs, and measurable business
outcomes.
●Managing risk: Establish governance for AI compliance, security, privacy, and responsible use.
●Building AI-ready teams: Upskill employees, define AI roles, and lead organizational change.

How can managers use AI agents?

Managers can use AI agents to automate and optimize complex, multi-step workflows—not just
generate content or answer questions. Key applications include:
● Identify automation opportunities: Find repetitive, decision-based processes that are
suitable for agentic AI.
● Redesign workflows: Rebuild inefficient processes around agent-led execution rather
than simply automating existing steps.
● Set human oversight: Define where agents can act independently and where human
review or approval is required.
● Build no-code solutions: Use tools such as n8n to create and orchestrate AI-powered
workflows without extensive coding.
● Govern agents: Establish guardrails, validation checks, and monitoring through AgentOps practices.
●Manage teams: Prepare employees for human-AI collaboration through clear roles, communication, and change management.

Does the program help leaders evaluate AI investments from a business perspective?

Yes. The curriculum covers value across efficiency, revenue, risk, and experience; total cost of ownership; build-vs-buy-vs-partner decisions; AI ROI; and communicating AI investment cases to CFOs and boards.

How can entrepreneurs and consultants use this program to identify AI opportunities?

The Post Graduate Program in AI and Agentic AI for Leaders by Texas McCombs helps entrepreneurs, consultants, and solution-builders evaluate, scope, and lead AI and agentic AI initiatives without requiring them to be data scientists or engineers. They learn frameworks for opportunity mapping, solution design, business cases, governance, and scaling AI initiatives.

How can directors and CXOs use this program to shape AI strategy?

The program focuses on the leadership side of AI adoption, including opportunity prioritization, organizational AI maturity, AI risk, governance, business cases, ROI, vendor evaluation, and scaling AI initiatives. The capstone brings these frameworks together into a board-ready AI strategy that participants defend before a panel of senior leaders.

How can operations managers use agentic AI to improve business processes?

The program teaches participants to distinguish agentic AI from GenAI, identify
automation-ready processes, redesign workflows for agent-led automation, and incorporate
human-in-the-loop controls. This can help operations managers evaluate where agentic
automation may create business value while maintaining appropriate oversight.