Agile Project Management And Scrum With Ai - Gpt

Master Agile and Scrum with AI tools, real projects, roleplays, and templates to lead with confidence

What you'll learn

Understand Agile values, principles, and why Agile succeeds where traditional methods often fail.

Explain Scrum roles, events, and artifacts, and apply them to real-world projects.

Create a product vision, roadmap, and backlog that align with business goals.

Write effective user stories with acceptance criteria, epics, and themes.

Plan and estimate work using story points, velocity, and Agile charts.

Monitor progress with burndown, burnup, and flow diagrams for clear visibility.

Apply risk management and quality practices within Agile projects.

Use AI-powered prompts to speed up documentation, estimation, and reporting.

Practice leadership and collaboration skills through AI-powered roleplays.

Test your knowledge with quizzes and assignments to reinforce learning.

Complete a full capstone project that walks through every step of an Agile process.

Build confidence to lead Agile teams, deliver value, and stand out in your career.

Requirements

No prior experience with Agile or Scrum is required — we start from the basics.

Description

“This course contains the use of artificial intelligence.”Are you ready to lead projects with confidence, adapt to change, and deliver real value?This course is your complete guide to mastering Agile Project Management and Scrum — with the added power of AI tools to boost your productivity.Agile has become the gold standard for managing projects in today’s fast-moving world. Scrum, the most popular Agile framework, is used by companies worldwide to deliver results faster and smarter. Whether you want to step into a new Scrum Master role, grow your career, or simply run projects more effectively, this course gives you the tools and confidence you need.What You’ll LearnThe foundations of Agile: values, principles, and why traditional projects often fail.Scrum explained: roles, events, and artifacts made simple.How to create a product vision, build a roadmap, and manage a backlog.Planning and estimating with story points, velocity, and Agile charts.Monitoring progress with burndown, burnup, and flow diagrams.Risk management, Agile quality practices, and value-driven delivery.Scaling Agile for larger teams and organizations.How AI can help you with documentation, planning, estimation, and reporting.Why This Course Is DifferentThis is not a dry exam-prep course. It’s practical, engaging, and designed for real-world success. You’ll get:Quizzes to check your understanding.Assignments to apply what you learn immediately.Roleplays powered by AI to practice handling real-life project situations.A Capstone Project where you walk step by step through a real Agile project.Who This Course Is ForNew and aspiring project managers who want to learn Agile from the ground up.Professionals looking to become Scrum Masters or grow into leadership roles.Teams and leaders who want to deliver projects faster, with less waste and more value.Anyone preparing for PMI or Scrum exams who wants true understanding, not just memorization.Your Next StepBy the end of this course, you’ll know how to start, plan, and run Agile projects with confidence. You’ll be ready to lead teams, deliver value, and stand out in the job market.If you haven’t signed up yet — now is the time. Join today and take your first step toward becoming an Agile professional who can adapt, deliver, and succeed.

Overview

Section 1: Introduction

Lecture 1 Course Overview

Lecture 2 Course Introduction

Lecture 3 Agile and Scrum - What is the difference

Section 2: Introduction to Agile

Lecture 4 What is Agile

Lecture 5 Why Projects Fail and Agile Helps

Lecture 6 Traditional vs Agile Project Management

Lecture 7 Agile Principles vs Practices

Lecture 8 Agile Manifesto 12 Principles

Lecture 9 Benefits of Agile and Why Organizations Adopt It

Lecture 10 Agile Suitability Filters and Tailoring Approaches

Lecture 11 Life Cycle Selection

Lecture 12 Agile Beyond Software

Lecture 13 Project Life Cycle Using AI

Section 3: Scrum Overview

Lecture 14 What is Scrum Purpose and Philosophy

Lecture 15 Scrum Framework Roles Events and Artifacts

Lecture 16 Scrum Theory Transparency Inspection and Adaptation

Lecture 17 Benefits and Limitations of Scrum

Lecture 18 The Agile Project Management Iron Triangle

Lecture 19 Agile vs. Scrum, PMI’s Role, and SBOK Role

Section 4: The Scrum Process

Lecture 20 The Scrum Flow — An Overview

Lecture 21 Initiating Scrum — Vision, Roles, and Backlog

Lecture 22 Sprint Planning — From Backlog to Sprint Goal

Lecture 23 Daily Scrum — Inspecting and Adapting Every Day

Lecture 24 Sprint Execution — Collaboration and Self-Organization

Lecture 25 Backlog Refinement — Keeping Work Ready

Lecture 26 Sprint Review — Demonstrating Value

Lecture 27 Sprint Retrospective — Driving Improvement

Lecture 28 Release and Delivering Value

Lecture 29 Scrum in Action — Walking Through Start to Finish

Lecture 30 Scrum Process with AI

Section 5: Product Vision and Roadmapping

Lecture 31 Creating a Product Vision

Lecture 32 Tips for Crafting an Effective Vision

Lecture 33 The Elevator Statement Technique

Lecture 34 Refining and Revisiting the Vision

Lecture 35 From Vision to Product Backlog

Lecture 36 Building a Product Roadmap

Lecture 37 Using the Roadmap for Communication and Buy-In

Lecture 38 AI Tools for Vision and Roadmapping

Section 6: Product Architecture and Features

Lecture 39 Product Architecture in Agile Context

Lecture 40 Creating a Product Datasheet

Lecture 41 Product Specification

Lecture 42 Feature Breakdown Structure (FBS)

Lecture 43 Using AI to Support Product Architecture

Section 7: Backlog and Requirements Management

Lecture 44 Product Backlog – Characteristics, Prioritization, and Continuous Refinement

Lecture 45 Backlog Prioritization – Tools, Techniques, and Examples

Lecture 46 Backlog Hierarchy – Capabilities, Features, and User Stories

Lecture 47 Writing Effective User Stories

Lecture 48 What Developers Do with User Stories in your structured style

Lecture 49 User Stories and Acceptance Criteria

Lecture 50 Epics, Themes, and Nonfunctional Requirements

Lecture 51 Understanding the Backlog Hierarchy Clearly

Lecture 52 Backlog Refinement Techniques – Workshops, Story Splitting, and Story Mappin

Lecture 53 Team Agreements – Definition of Ready and Definition of Done

Lecture 54 Using AI to Support Backlog and Requirements Management

Section 8: Agile Planning

Lecture 55 Agile Planning Horizons From Portfolio to Daily

Lecture 56 Balancing Predictive and Adaptive Planning

Lecture 57 Release Planning in Agile Projects

Lecture 58 Sprint Planning Capacity, Commitment, and Goals

Lecture 59 AI for Release and Sprint Planning

Section 9: Agile Estimation

Lecture 60 Relative Estimation and Story Points

Lecture 61 Planning Poker and Estimation Games

Lecture 62 Forecasting with Velocity

Lecture 63 Agile Charts and Metrics

Lecture 64 Avoiding Estimation Pitfalls

Lecture 65 Using AI for Agile Estimation

Lecture 66 Hours vs. Points in Agile Estimation

Section 10: Project Execution and Monitoring

Lecture 67 Sprint Execution Collaboration and Swarming

Lecture 68 Daily Scrum and Task Boards

Lecture 69 Monitoring Progress

Lecture 70 Managing Change During Sprints

Lecture 71 Removing Impediments and Supporting the Team

Lecture 72 Using AI to Monitor and Support Execution

Section 11: Earned Value Management in Agile

Lecture 73 Why Talk About EVM in Agile

Lecture 74 Introduction to Earned Value Management Basics

Lecture 75 Adapting EVM for Agile Projects

Lecture 76 Key Metrics in Agile Context

Lecture 77 Combining Agile Charts and EVM

Lecture 78 Building EVM-Based Agile Charts

Lecture 79 Real-World Agile EVM Examples

Lecture 80 Limitations and Alternatives

Lecture 81 Using AI for Agile EVM

Section 12: Agile Quality Management

Lecture 82 Building Quality In from the Start

Lecture 83 Continuous Integration and Testing Practices

Lecture 84 Technical Debt - Causes, Consequences, and Strategies

Lecture 85 Quality Metrics and Continuous Improvement

Section 13: Risk Management in Agile Projects

Lecture 86 Identifying and Assessing Risks

Lecture 87 Risk Mitigation and Risk Burndown Charts

Lecture 88 Minimizing Risks through Iterative Development

Lecture 89 Communicating and Owning Risks in Agile Teams

Lecture 90 Using AI for Risk Management

Section 14: People, Teams, and Leadership in Agile

Lecture 91 HR and Agile – Hiring, Roles, and Development

Lecture 92 Chartering Agile Teams and Projects

Lecture 93 Motivating and Managing Agile Teams

Lecture 94 Servant Leadership and Team Empowerment

Lecture 95 Supporting Self-Organizing Teams

Lecture 96 Conflict Management and Team Dynamics

Lecture 97 The Evolving Role of Project Managers in Agile

Section 15: Organizational Agility

Lecture 98 Growing Your Role Through Organizational Agility

Lecture 99 Building an Agile Culture and Mindset Shift

Lecture 100 The Agile PMO and Organizational Governance

Lecture 101 Change Management and Readiness for Transformation

Lecture 102 Breaking Down Silos and Enabling Enterprise Flow

Lecture 103 Creating Enterprise Psychological Safety and Trust

Lecture 104 Measuring and Sustaining Organizational Agility

Section 16: Scaling Scrum and Agile

Lecture 105 Multi-Team Coordination – Scrum of Scrums, Nexus, and Beyond

Lecture 106 Scaling Frameworks – LeSS, SAFe, and Disciplined Agile

Lecture 107 Roles and Responsibilities in Scaled Agile

Lecture 108 Portfolio and Program Planning in Agile Organizations

Lecture 109 Challenges and Strategies for Scaling Agile

Lecture 110 Metrics and Governance in Scaled Agile

Lecture 111 Scaling Agile – Beyond This Section

Section 17: Business Justification and Value Delivery

Lecture 112 Why Business Justification Matters Throughout the Lifecycle

Lecture 113 Value-Driven Delivery and Roles

Lecture 114 Ensuring Ongoing Alignment Between Business Case and Backlog

Lecture 115 Continuous Value Assessment and Governance (Pivot, Persevere, or Stop)

Lecture 116 Confirming Value and Benefits Realization with Demos and Prototypes

Section 18: Project Example – Applying Agile and Scrum

Lecture 117 Introduction to the Capstone Project

Lecture 118 Setting the Stage

Lecture 119 Initiating the Agile Project

Lecture 120 Product Architecture and Specification

Lecture 121 Building the Backlog

Lecture 122 Release Planning

Lecture 123 Sprint Planning

Lecture 124 Managing Risks

Lecture 125 Monitoring Progress

Lecture 126 Sprint and Release Retrospectives

Lecture 127 Prompt and Content Engineering for AI

Lecture 128 All Downloadable Materials In One Spot

Section 19: Other agile implementations

Lecture 129 Agile, Scrum, and Beyond – How It All Fits Together

Lecture 130 Extreme Programming (XP) – Practices for Engineering Excellence

Lecture 131 Kanban – Flow-Based Agile

Lecture 132 Crystal and Lightweight Agile Methods

Lecture 133 DSDM and Feature-Driven Development (FDD)

Lecture 134 Hybrid and Blended Agile Approaches

Section 20: Lessons Learned and Continuous Improvement

Lecture 135 Lessons Learned and Best Practices

Lecture 136 Reflection on Leadership and Organizational Agility

Lecture 137 Agile in Hybrid Environments and the Role of AI

Section 21: Final Words and Next Steps

Lecture 138 Your Next Steps Level Up with Agile, Scrum & AI!

Lecture 139 Addtional Courses

Lecture 140 Free Materials

Aspiring project managers who want to break into the field with Agile skills.,Professionals aiming to become Scrum Masters and lead Agile teams with confidence.,Team leads and managers who need practical tools to deliver projects faster and with less stress.,Students preparing for PMI or Scrum certifications who want deep understanding, not just memorization.,Business analysts, product owners, and developers who want to understand the full Agile and Scrum process.,Anyone curious about AI in project management and how GPT can streamline documentation, planning, and reporting.,Career changers looking to enter the growing Agile and digital project management job market.