• Application closes on

    29 Oct, 2026
  • Program Duration

    8 weeks (4-6hrs / Week)
  • Learning Format

    Live, Online, Interactive

Why Join this Program

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    Prestigious Credentials

    Earn a program completion certificate from Columbia Engineering Executive Education and Simplilearn

    Earn a program completion certificate from Columbia Engineering Executive Education and Simplilearn

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    Enterprise AI in Action

    Explore 15+ real-world AI case studies driving business transformation at leading companies

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    AI Transformation Roadmap

    Turn AI opportunities into prioritized initiatives with a practical 30-60-90-day roadmap

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    AI Strategy & Business Impact

    Evaluate AI investments, quantify ROI and business value, and build compelling cases for adoption

Corporate Training

Enroll your employees into this program, NOW!

Big Brands. Bold Decisions. Blueprints for Impact.

Go beyond theory with strategic lessons from global AI adopters. Explore case studies from leading brands to understand how AI adoption works in practice, and apply these insights to workflows to drive measurable business impact.

Learn by Doing

Global Industry Case Studies

15+

Guided Practices

10+

Industry-Leading Tools

12

Case Studies from Top Global MNCs

Program Overview

This program prepares you to lead AI initiatives with strategic clarity and confidence. Perfect if you're looking to shape AI strategy, drive adoption, improve decision-making, or step into AI leadership roles.

Key Features

  • Learn about emerging AI trends through Simplilearn's AI Impact Studios
  • Understand what sets Agentic AI apart from GenAI and identify where it creates real business value
  • Map your organization's workflows and redesign them for human-AI collaboration, backed by a clear ROI case
  • Master business prompting and learn what to delegate to AI, with no coding required
  • Apply a structured framework to prioritize AI use cases across customer, finance, operations & more
  • Diagnose why AI adoption stalls and lead change management across your organization
  • Evaluate AI vendors and calculate ROI to build a leadership-ready investment case
  • Identify AI risks and build a responsible governance model for your organization

Program Advantage

Upon successful completion of the program, you'll receive a program completion certificate from Columbia Engineering Executive Education, in partnership with Simplilearn.

  • A Hallmark of Excellence

    Program Completion Certificate

    • Earn a Joint Columbia Engineering Executive Education & Simplilearn Certificate
    • Curriculum Reviewed and Approved by Columbia Engineering faculty

Program Details

Across this 8-week program, you’ll build expertise in AI strategy, workflow redesign, ROI, and governance. The program culminates in a real-world capstone project.

Learning Path

    • Introduction to the program structure and curriculum
    • Overview of the learning journey and expected outcomes
    • Understanding the support system available to learners
    • Key concepts and skills covered throughout the program
    • Distinguish Agentic AI from GenAI, chatbots & copilots
    • Identify where Agentic AI drives real business value
    • Define your organization's AI ambition and accountability model
    • Score AI opportunities using a structured framework
    • Map workflows to uncover hidden bottlenecks
    • Evaluate where AI helps — and where it doesn't
    • Redesign workflows for human-AI collaboration
    • Build a one-page AI business case with ROI
    • Write high-quality prompts for business decisions
    • Delegate tasks to AI using a clear decision ladder
    • Design no-code agentic workflows with built-in approvals
    • Write AI requirements technical teams can act on
    • Rank AI use cases using an executive decision matrix
    • Apply AI across customer, sales & marketing functions
    • Deploy AI agents for productivity, finance & operations
    • Evaluate AI opportunities in regulated industries
    • Diagnose why AI adoption fails inside organizations
    • Apply a proven Change Adoption Framework
    • Map stakeholder readiness and influence
    • Build an AI change plan with clear ownership
    • Choose the right path: build, buy, or partner
    • Evaluate AI vendors with a structured scorecard
    • Calculate ROI and total cost of ownership
    • Pitch a leadership-ready AI investment case
    • Connect AI capability to strategy and advantage
    • Strengthen your business-first AI foundation
    • Map AI risks across bias, privacy & security
    • Apply responsible-AI principles with confidence
    • Control hallucination through validation & review
    • Build an AI governance model with clear approvals
    • Prioritize a real AI use case for your business
    • Design the workflow and build your ROI case
    • Define governance and a change management plan
    • Present a 30-60-90 day roadmap to leadership

Electives:

    • Attend a quarterly live masterclass led by Columbia Engineering Faculty
    • Explore emerging AI research, technologies, and industry developments
    • Gain faculty perspectives on evolving AI trends and applications
    • Explore the latest advancements in Generative AI, Agentic AI & intelligent automation
    • Learn hands-on through live expert-led AI workshops on Claude Code, OpenClaw & more
    • Learn through expert-led technical and business workshops with real-world use cases
    • Build practical AI capabilities to drive productivity, innovation, and business impact

15+ Skills Covered

  • Agentic AI Strategy
  • AI Transformation Roadmapping
  • AI Opportunity Prioritization
  • Strategic Decision Making
  • Workflow Redesign for AI
  • AI Adoption Strategy
  • Stakeholder Communication
  • AI Business Case and ROI
  • Build vs Buy Evaluation
  • AI Governance and Risk Management
  • Responsible and Ethical AI Adoption
  • AI Delegation and Decision Rights
  • Cross Functional Collaboration
  • No Code Agentic Workflow Design
  • AI Evaluation Frameworks

Capstone Project Roadmap

  • Project 1

    Select an AI Business Opportunity

    Identify a business problem suited for Agentic AI by assessing pain points, stakeholders, performance gaps, and opportunities for intelligent intervention.

  • Project 2

    Map the Current Workflow

    Map the existing workflow, including people, systems, decisions, handoffs, bottlenecks, risks, data gaps, and opportunities for improvement.

  • Project 3

    Prioritize the AI Use Case

    Evaluate potential AI interventions using impact and feasibility criteria, select a pilot use case and define a measurable success hypothesis.

  • Project 4

    Design the Agentic AI Workflow

    Design an agentic workflow defining AI and human roles, triggers, data sources, actions, approvals, outputs, escalation paths, and success criteria.

  • Project 5

    Build the Value and AI Investment Case

    Build an investment case by estimating business value, costs, ROI, payback, and comparing build, buy, partner, and low-code solution options.

  • Project 6

    Define AI Governance Risk and Responsible AI Controls

    Identify AI risks and design governance controls covering privacy, security, bias, hallucinations, human oversight, monitoring, access, and escalation.

  • Project 7

    Plan AI Adoption and Change Management

    Develop an adoption strategy covering stakeholders, communication, training, support, feedback, leadership actions, adoption risks, and success metrics.

  • Project 8

    Create the 90 Day AI Transformation Roadmap

    Create a 90-day execution plan covering validation, workflow design, data readiness, solution selection, pilot launch, adoption, monitoring, and scaling.

  • Project 9

    Present the Executive Roadmap

    Develop and present a boardroom-ready roadmap that demonstrates strategic fit, AI suitability, value, governance, adoption readiness, and execution feasibility.

Disclaimer - The projects have been built leveraging real publicly available datasets from organizations.

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An Immersive Learning Experience

Peer to Peer engagement

Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.

Flexi Learn

Missed a class? Access recordings to always maintain learning progress and keep up with your cohort.

Mentoring session(s)

Expert guidance sessions from mentors for doubt clarifications, project assistance, and learning support.

Learning Support

Get a dedicated Cohort Manager for all your queries and help you succeed at every learning step.

Peer to Peer engagement
Get the real classroom experience. Interact with learners and engage with mentors in real-time via Slack.
Flexi Learn
Mentoring session(s)
Learning Support

Program Advisors and Trainers

Program Advisors

  • Sean Wiggins

    Sean Wiggins

    Executive Director, CVN, Columbia Engineering

    As the Executive Director of CVN, Sean guides the team to serve the Columbia Engineering community by curating and ensuring the quality of remote curricular offerings and driving innovative pedagogical practice to transform teaching and learning from in-person to hybrid and remote modalities.

  • Kaoutar El Maghraoui, Ph.D.

    Kaoutar El Maghraoui, Ph.D.

    Principal Research Scientist

    Kaoutar El Maghraoui is a Principal Research Scientist at IBM Research AI and an Adjunct Professor at Columbia University. She specializes in AI engineering, high-performance machine learning, distributed computing, and hardware-software co-design to advance next-generation AI systems.

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Program Trainers

  • Anand Rao

    Anand Rao

    35+ Years of Experience

    Service Professor | Applied Data Science & AI

  • Fred Drake

    Fred Drake

    28+ Years of Experience

    Founder

  • Nikunj Nirmal

    Nikunj Nirmal

    25+ Years of Experience

    Global Head of Engineering

  • Warren Wiens

    Warren Wiens

    17+ Years of Experience

    Strategy Leader, AI Transformation

  • Lisa Stuart

    Lisa Stuart

    25+ Years of Experience

    Staff Data Scientist

  • Lubina Zaidi PhD

    Lubina Zaidi PhD

    16+ Years of Experience

    Senior Data Scientist

  • Donald High

    Donald High

    24+ Years of Experience

    Chief Data and Agentic AI Architect

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Lead the AI Revolution

Agentic AI is moving from experimentation to enterprise-wide adoption. Record AI spending, explosive market growth, and rising leadership demand for AI-savvy decision-makers all point to one thing: this is where business leadership is heading.

Job Icon80% of CEOs

Expect AI to significantly reshape their organization's operations

Source: Gartner
Job Icon72% of Leaders

Now consider AI literacy essential for day-to-day leadership

Source: DataCamp
Job Icon97% of the US Executives

Are optimistic on 2026 growth, with AI as their top investment priority

Source: Forvis Mazars

Batch Profile

This program welcomes professionals from different backgrounds and industries, making classroom discussions richer. The data below comes from a similar Simplilearn program.

  • The class consists of learners from excellent organizations and diverse industries
    Where Learners Come From
    IT Services - 30%BFSI - 18%Software Products - 15%Consulting - 12%Retail - 10%Others - 15%
    Companies
    Tata Consultancy Services
    Bosch
    KPMG
    Netflix
    PricewaterhouseCoopers
    Ernst & Young
    Accenture
    Amazon
    Nvidia
    Godrej & Boyce
    Infosys
    LinkedIn

Learner Reviews

Admission Details

Application Process

The application process is simple, with just three easy steps to ensure a seamless enrollment experience.

STEP 1

Submit Application

Complete the application by providing the essential details about yourself

STEP 2

Reserve Your Seat

Secure your seat by completing the program fee payment

STEP 3

Start Learning

Begin your learning journey on the designated cohort start date

Eligibility Criteria

For admission to this Agentic AI: Business Strategy & Adoption, candidates should have:

10+ years of professional experience (preferred)
Focused on translating AI strategy into business value
Senior professionals driving Business Transformation and AI Adoption

Admission Fee & Financing

The admission fee for this program is $2,690

Financing Options

We are dedicated to making our programs accessible. We are committed to helping you find a way to budget for this program and offer a variety of financing options to make it more economical.

Total Program Fee

$2,690

Pay In Installments, as low as

$269/month

You can pay monthly installments using our payment partners with low APR and no hidden fees.

Apply Now

Program Benefits

  • Explore 15+ Real World AI Case Studies
  • Evaluate AI Investments and Quantify ROI
  • Master AI with experts from IBM, Amazon, PwC & more
  • Learn Through 20+ Demos & 10+ Guided Practices
  • Build a 30-60-90-Day AI Transformation Roadmap

Program Cohorts

Next Cohort

Got Questions Regarding Cohort Dates?

FAQs

  • Does this Agentic AI: Business Strategy and Adoption program offer any financial aid?

    To ensure that money is not a barrier to learning, we offer various financing options to help make this program financially manageable. Please refer to our “Admissions Fee and Financing” section for more details.

  • Why is Agentic AI becoming an important business priority now?

    AI is moving beyond individual productivity tools toward systems that can support complex workflows, decision-making, and operations. Organizations now need leaders who can identify where it can create meaningful business value and adopt it responsibly.

  • How has Agentic AI evolved beyond individual tools and pilots?

    Early use cases focused on experimenting with AI assistants and isolated tasks. Today, organizations are exploring AI agents that can work across workflows, data, and business systems—often coordinating tasks, taking actions, and operating with human oversight.

  • Why is adopting Agentic AI across an organization challenging?

    Successful adoption involves more than selecting the right technology. Leaders must prioritize the right use cases, redesign workflows, prepare teams, manage risk, and create clear governance and accountability structures.

  • What skills are becoming important for business leaders driving AI adoption?

    Leaders increasingly need to assess AI opportunities, build a business case, evaluate build-versus-buy decisions, guide organizational change, and establish responsible governance for AI initiatives.

  • How does this program prepare me to drive agentic AI adoption in my organization?

    This program equips you to identify high-impact AI opportunities, develop an adoption strategy, align stakeholders, and create a practical 30-60-90-day roadmap for moving an AI initiative forward.

  • Why is responsible AI leadership an essential skill?

    As AI reshapes how work gets done, leaders must ensure it is adopted in ways that augment people, protect trust, and create sustainable value. Responsible AI leadership helps organizations balance innovation with ethics, accountability, and meaningful human oversight.

  • How do learner reviews help me?

    Learner reviews give you a broader view of the learning experience of the AI programs at Simplilearn, including feedback on live classes, instructors, hands-on projects, support, and career-focused outcomes. They help you understand what learners value most across their learning journeys.

Recommended Learning Materials for Upskilling

Explore free webinars, tutorials, career guides, and practical reads to go deeper

  • Acknowledgement
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, OPM3 and the PMI ATP seal are the registered marks of the Project Management Institute, Inc.
  • *All trademarks are the property of their respective owners and their inclusion does not imply endorsement or affiliation.
  • Career Impact Results vary based on experience and numerous factors.