Agentic AI Training for Project Managers | 90 Day Leadership Program 2026 | EmergenTeck
90 Day Transformation Program

Agentic AI Training for Project Managers, Delivery Managers, Scrum Masters and Business Leaders

From Program Manager to AI System Owner. Learn to design, govern, and lead AI driven delivery systems. No coding required.

Duration 90 Days | 12 Weekends
Format Live Online Sessions
Certification CAAL Certified
Program Fee INR 35,398

Agentic AI Leadership Program | Course Overview

The way projects get delivered inside enterprises is changing. AI agents are already handling coordination, status reporting, follow ups, and progress tracking across teams. The work that used to fill a Project Manager's calendar is now being done by systems that run without prompting.

This shift is not a future prediction. It is happening right now across IT services, consulting, and product companies. And it is putting pressure on experienced professionals whose value was tied to coordination and oversight.

The Agentic AI Leadership Program by EmergenTeck is a 90 day transformation designed for Program Managers, Project Managers, Delivery Leaders, Scrum Masters, Agile Coaches, and PMO heads who want to move from managing delivery to owning AI driven systems.

This is not a tools based training. There is no coding involved. The entire program is built around three pillars that matter to senior professionals: Architecture, Governance, and ROI.

You will learn how to design agentic workflows that fit into real enterprise delivery models. You will understand how to set up governance and guardrails so that AI agents operate safely within your organization. And you will build the financial case for AI adoption, with clear ROI calculations, cost models, and payback analysis that leadership and clients expect.

By the end of this program, you will not just understand Agentic AI. You will be able to design, evaluate, and own AI systems in your delivery environment.

Why Agentic AI Skills Matter for Project Managers in 2026

Agentic AI does not replace leadership. It replaces manual coordination. The professionals who stay relevant will be the ones who can design, govern, and measure AI driven delivery.

Outcome Based Pricing Is Replacing FTE Billing

Large IT services deals are shifting from headcount based contracts to outcome based delivery. This directly impacts how PM and delivery roles are valued.

AI Agents Are Automating Coordination

Status updates, follow up emails, resource tracking, risk flagging. These tasks are now handled by AI systems that run without human prompting.

Senior PM Roles Are Under Cost Pressure

Leadership is asking what these roles deliver beyond coordination. Professionals who cannot show strategic value are being restructured.

Organizations Need AI Governance Leaders

Companies need people who can safely bring AI into delivery, set up guardrails, and measure ROI. Not just people who know how to use a chatbot.

Who Should Enroll in This Program

This is an advanced leadership program built for professionals with 8 to 20 plus years of experience in project delivery, team management, and enterprise operations.

Ideal Roles

  • Project Managers and Program Managers
  • Delivery Managers and Delivery Heads
  • Agile Coaches and Scrum Masters
  • PMO Leaders and Transformation Managers

This Program Is Right for You If

  • A significant part of your week goes into coordination, reporting, and follow ups
  • You feel the pressure of automation changing expectations around your role
  • You want to stay relevant and advance without becoming a developer
  • Your organization expects you to justify cost, ROI, and outcomes
Note: This program is not designed for freshers or entry level professionals. This is not a coding course or a tool specific training.

What Makes This Program Different from Other AI Courses

Most AI courses are built for developers and data scientists. This one is not.

1

Built for PMs and Delivery Leaders, Not Engineers

The entire curriculum is designed around challenges in project delivery, team management, and stakeholder communication.

2

Three Pillar Structure: Architecture, Governance, and ROI

Three clear phases. Understand AI system design, then governance and control, then business case and executive narrative.

3

No Coding Required at Any Stage

Frameworks, simulations, and structured thinking exercises. Real scenarios, not code editors.

4

Real Enterprise Simulations, Not Generic Demos

Every phase includes a deliverable based on your own work context: architecture sketch, governance blueprint, and business case.

5

Strong Emphasis on ROI, Risk, and Executive Decision Making

Calculate return on investment, model costs, assess risks, and defend decisions in boardroom style simulations.

Program Structure | 90 Days, 3 Phases, 12 Weeks

Each phase builds on the previous one. By the end, you will have three concrete deliverables that demonstrate your ability to lead AI programs.

Phase 1AI System Architecture (Days 1 to 30)

Theme: Understand how AI systems are designed and behave in enterprise environments.

Week 1: AI Systems and Enterprise Context

  • Evolution from automation to AI to Agentic systems
  • Deterministic versus probabilistic systems
  • Core AI components: LLM, data, tools, workflows
  • Where traditional PM thinking breaks down

Week 2: AI Architecture Fundamentals

  • Workflow versus system architecture
  • Task flow versus decision flow
  • AI system layers: business, agent, model, data, tools
  • Introduction to RAG and enterprise memory

Week 3: Agentic Workflows and Orchestration

  • Single agent versus multi agent systems
  • Orchestration patterns: sequential and hierarchical
  • Delegation versus control
  • System interactions and dependencies

Week 4: Failure Modes in AI Systems

  • Hallucination and reasoning errors
  • Cost leaks and uncontrolled execution
  • Latency and performance trade offs
  • Where and why AI systems break
Deliverable: AI System Architecture Sketch based on your own enterprise use case
Phase 2Governance and Decision Control (Days 31 to 60)

Theme: Define boundaries, accountability, and control mechanisms for AI systems.

Week 5: Decision Boundaries and Ownership

  • Task versus decision ownership
  • Where AI should act versus escalate
  • Designing decision authority into workflows
  • Human in the loop versus autonomous systems

Week 6: Governance Frameworks for AI

  • Hard versus soft controls (guardrails)
  • Policy layers and compliance thinking
  • Control points across workflows
  • Multi agent responsibility and coordination

Week 7: Risk, Observability, and Control

  • Risk modeling: operational and financial
  • Monitoring AI behavior and outputs
  • Exception handling and escalation paths
  • Observability and feedback loops

Week 8: Governance Simulation (Boardroom)

  • AI driven failure scenario analysis
  • Decision accountability breakdown
  • Identifying governance gaps
  • Designing corrective controls
Deliverable: AI Governance Blueprint covering decision boundaries and control model
Phase 3ROI and Business Ownership (Days 61 to 90)

Theme: Lead AI programs with financial, strategic, and executive accountability.

Week 9: AI Cost and System Economics

  • Token, compute, and infrastructure costs
  • Primary cost drivers in AI systems
  • Cost versus accuracy versus latency
  • System level financial impact

Week 10: ROI Modeling for AI Programs

  • ROI frameworks for AI initiatives
  • Cost versus value versus risk
  • Capacity uplift and efficiency metrics
  • Building business justification

Week 11: Boardroom Simulation and Defense

  • Budget overrun scenario analysis
  • Wrong decision impact analysis
  • Governance versus business trade offs
  • Defending decisions at leadership level

Week 12: Executive Positioning and Readiness

  • Communicating AI value to leadership
  • Translating architecture into business impact
  • Structured executive conversations
  • Final capstone presentation
Deliverable: AI Business Case and Executive Narrative for stakeholder presentation

How the Program Works

Live Weekend Sessions

Deep dive learning every Saturday and Sunday on architecture, governance, and ROI.

Weekly Check ins

Q and A, doubt clearing, and applying learnings to your work context.

Enterprise Simulations

Boardroom exercises, failure analysis, and decision defense with real scenarios.

Structured Frameworks

System thinking tools to take back and apply in your organization immediately.

What You Will Walk Away With

Strategic Authority

Build and lead AI enabled delivery teams. Move from task coordination to system ownership and strategic oversight.

Technical Credibility

Understand RAG, multi agent orchestration, decision boundaries, and governance frameworks. Discuss with technical teams without coding.

Financial Mastery

Build business cases on ROI, model AI costs accurately, and present investment plans to senior stakeholders and clients.

Hands on Proof

Three deliverables: AI System Architecture Sketch, AI Governance Blueprint, and AI Business Case with Executive Narrative.

Final Outcome: Participants transition from managing execution to owning AI driven systems, decisions, and outcomes.

Certification and Bonus Materials

Certification Earned

Certified Agentic AI Leadership (CAAL)
From EmergenTeck

Complimentary Bonus (Included)

  • LinkedIn positioning for AI leadership roles
  • Resume alignment for AI driven job descriptions
  • Interview narrative and storytelling guidance
  • ROI calculation templates
  • Risk and governance frameworks
  • Client and executive narrative guides

About the Trainer

Madan Upadhyay, Senior AI Product Manager, GenAI, LLMs, Agentic AI, Strategy and ROI, Trainer at EmergenTeck

Madan Upadhyay

Senior AI Product Manager | GenAI, LLMs, Agentic AI | Strategy and ROI

Madan Upadhyay has deep expertise in Generative AI, large language models, and Agentic AI systems. He works on enterprise AI adoption, product strategy, and workflow transformation for organizations across industries.

As the trainer for this program, Madan brings real delivery experience to every session. He helps experienced PMs and delivery leaders move into AI leadership and orchestration roles using practical delivery scenarios, governance frameworks, and decision models that work in actual enterprise settings.

Why Train with EmergenTeck

EmergenTeck has been training IT professionals since 2017 on technologies like RPA, automation, Microsoft Power Platform, and now Agentic AI. Thousands of working professionals have trained with us and moved into roles that demand practical skills in emerging technologies.

We do not sell certifications. We build practical capability. Every program we deliver is designed around industry relevance, hands on practice, and direct career impact.

This Is Not About Learning AI Tools.
This Is About Leading in an AI Driven Environment.

You will leave this program knowing how to own AI systems, not just manage projects around them.

Frequently Asked Questions

This program is for Project Managers, Delivery Managers, Program Managers, Scrum Masters, Agile Coaches, and PMO leaders with 8 to 20 plus years of experience. It is built for professionals who manage teams and delivery, not for developers or data scientists.

No. There is no coding involved at any stage. The program uses frameworks, simulations, structured thinking exercises, and real enterprise scenarios.

Traditional automation follows preset rules. Agentic AI can reason, plan, use tools, and correct itself without waiting for human input at every step. This program teaches you how to govern and lead these systems.

90 days across 12 weekends. Three phases: AI System Architecture (Weeks 1 to 4), Governance and Decision Control (Weeks 5 to 8), and ROI and Business Ownership (Weeks 9 to 12). Weekly check ins between sessions.

Yes. Everything you learn can be applied directly in your current projects, team management, and client conversations. Each phase ends with a deliverable based on your own work context.

Absolutely. You will learn how agentic workflows fit into agile delivery and how to transition toward system orchestration and AI enabled delivery leadership.

Three deliverables: AI System Architecture Sketch (Phase 1), AI Governance Blueprint (Phase 2), and AI Business Case with Executive Narrative (Phase 3). Designed to use directly in your organization.

Certified Agentic AI Leadership (CAAL) from EmergenTeck upon completion of all three phase deliverables.

INR 35,398 inclusive of all taxes. Covers all 12 weekend sessions, weekly check ins, bonus materials, and certification.

What Our Learners Say

★★★★★
Fantastic experience learning Agentic AI with EmergenTeck. The trainers are experienced and always willing to solve queries. Very satisfying overall.
Sumit K.
★★★★★
Very experienced and helpful trainers. Supportive even after course completion. Very satisfied with the training.
Vishal Singh
★★★★★
Real business scenarios with practical exercises. The hands on experience is very useful for interviews.
Thalari Archana

Our Alumni Work At

HCL Capgemini HSBC Cognizant IBM Barclays Mphasis Accenture

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Program Fee and How to Enroll

INR 35,398
Inclusive of all taxes
  • Duration90 Days (12 Weekends)
  • ScheduleSaturday and Sunday
  • ModeLive Online, Instructor Led
  • Batch SizeLimited Seats
  • CertificationCAAL from EmergenTeck

Ready to Move from Execution to AI System Ownership?

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