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AI+ Agile Project Management Fundamentals™

Name: AI+ Agile Project Management Fundamentals™
Brand: Learning People
Price: 149.00 GBP
Availability: InStock

The AI+ Agile Project Management Fundamentals™ course by AI CERTs® is a foundational program designed to equip project managers and team leaders with essential skills to integrate AI tools and predictive analytics into Agile frameworks like Scrum and Kanban for smarter, faster project delivery.

Course Overview

Smart Sprint Planning: Discover how AI-powered insights improve backlog prioritisation, sprint forecasting, and resource allocation for predictable delivery.
Adaptive Workflow Optimisation: Learn to use AI tools to track progress, identify bottlenecks, and automate routine tasks to keep projects moving smoothly.
Data-Driven Decision Making: Gain the ability to analyse real-time project metrics, risks, and team performance with AI support for faster, smarter decisions.
Enhanced Team Collaboration: Master intelligent communication and reporting tools that improve stakeholder alignment, transparency, and cross-functional teamwork.
Predictive Risk Management: Use AI to anticipate delays, budget overruns, and scope creep, enabling proactive planning and effective mitigation strategies.

Certification overview:

Included Items: Instructor-led OR Self-paced course + Official exam + Digital badge

Certificate Duration:

Instructor-Led: 1 day (live or virtual)
Self-Paced: 8 hours of content

Prerequisites: Basic understanding of project lifecycle and management principles alongside the awareness of agile methodologies like Scrum and Kanban. Introductory knowledge of artificial intelligence and its applications, and ability to address challenges in dynamic environments.

Exam Format: 50 questions, 70% passing, 90 minutes, online proctored exam

Why this certification matters:

Rising Demand for Agile AI Leaders: Organisations adopting AI need project managers who can deliver faster, adaptive, and tech-driven outcomes. Faster Project Delivery: Agile frameworks help teams iterate quickly, reduce delays, and consistently meet evolving stakeholder expectations. Smarter Decision-Making with AI Insights: AI-powered analytics improve planning, forecasting, and risk assessment for more accurate project execution. Improved Collaboration and Transparency: Agile practices foster cross-functional teamwork, clear communication, and real-time progress visibility. Reduced Costs and Risks: Continuous feedback, automation, and incremental releases minimise rework, optimise budgets, and control project risks.

Who should enrol:

Project Managers: Professionals looking to integrate AI tools into Agile workflows to improve planning, forecasting, and delivery outcomes.

Scrum Masters: Individuals aiming to enhance sprint efficiency, automate reporting, and enable smarter decision-making using AI-driven insights.

Product Owners: Professionals interested in leveraging AI for better backlog prioritisation, customer insights, and value-based product development.

Business Analysts: Those seeking to use AI to analyse requirements, predict risks, and optimise stakeholder communication across projects.

Agile Team Members: Developers, testers, and designers wanting to streamline collaboration, automate repetitive tasks, and boost productivity with AI support.

Prerequisites

Basic Understanding of Project Management: Familiarity with project lifecycle and management principles.
Introductory Knowledge of Agile: Awareness of agile methodologies like Scrum and Kanban.
Familiarity with AI Concepts: Basic knowledge of artificial intelligence and its applications.
Problem-Solving Skills: Ability to address challenges in dynamic environments.
Team Collaboration Experience: Comfort working in cross-functional, collaborative teams.

Self Study Materials Included

Videos

Engaging visual content to enhance understanding and learning experience.

Podcasts

Listen and learn anytime with convenient audio-based knowledge sharing.

E-Books

Engaging visual content to enhance understanding and learning experience.

Audiobooks

Listen and learn anytime with convenient audio-based knowledge sharing.

Tools You'll Master

ChatGPT

Google Gemini

Microsoft Copilot

Trello AI

Jira Free Tier

ClickUp

Notion AI

GitHub Copilot

Google Sheets with AI Add-ons

Power BI

Tableau Public

Python

Pandas

Scikit-learn

TensorFlow

AutoML Tools

Miro AI

Zapier

Slack AI Integrations

Burndown & Sprint Analytics Dashboards

What will you learn?

AI-Powered Planning & Sprint Management

Use AI tools to prioritise backlogs, forecast sprint timelines, and allocate resources more accurately. This replaces guesswork in planning with data-driven predictions.

Real-Time Monitoring & Automated Reporting

Track project progress through intelligent dashboards and automate routine updates like status reports and performance reviews. This frees teams to focus on higher-value work.

Predictive Risk & Resource Management

Apply predictive analytics to anticipate delays, budget overruns, and resource shortages before they happen. AI flags bottlenecks early so you can act proactively rather than reactively.

Ethics, Tool Evaluation & Future-Proofing

Learn to assess AI outputs for bias and fairness, and evaluate which tools are right for a given project. The course also covers how to manage stakeholder adoption when introducing AI into an Agile team.

Certification Modules

Module 1: Fundamentals of AI in Agile Project Management

1.1 Introduction to AI Concepts for Project Managers

1.2 Synergy Between AI and Agile Methodologies

1.3 Case Study: AI-Enhanced Sprint Planning

1.4 Hands-On Session: AI Tools Walkthrough for Sprint Planning and Backlog Grooming

Module 2: Data Literacy for Agile Project Managers

2.1 Understanding Project Data Types and Sources

2.2 Data-Driven Decision Making in Agile

2.3 Case Study: Data-Led Sprint Retrospectives

2.4 Hands-On Simulation Exercise: AI-Driven Sprint Prediction and Metrics Analysis

Module 3: AI for Resource and Team Management

3.1 Predictive Resource Allocation

3.2 AI-Driven Agile Metrics and Performance Tracking

3.3 Use Cases: Smart Scheduling and Workload Balancing

3.4 Hands-On Session: Managing Team Capacity and Task Distribution Using AI Dashboards

Module 4: Predictive Analytics in Agile Project Management

4.1 Foundations of Predictive Modelling

4.2 Forecasting Delays and Resource Shortages

4.3 Case Studies: Early Risk Detection in Agile Projects

4.4 Hands-On Simulation Exercise: Resource Shortage and Timeline Forecasting

Module 5: AI in Project Monitoring and Reporting

5.1 Real-Time Monitoring with AI

5.2 Intelligent Reporting and Stakeholder Communication

5.3 Use Cases: Automated Status Updates and Performance Reviews

5.4 Hands-On Session: Creating AI-Powered Reports and Visual Dashboards

Module 6: Ethics, Bias, and Regulation in AI for Project Management

6.1 Ethical AI in Decision-Making

6.2 Bias and Risk in Predictive Models

6.3 Regulatory and Compliance Considerations

6.4 Hands-On Exercise: Evaluating AI Outputs for Fairness and Responsible Use

Module 7: Evaluating and Implementing AI Tools in Agile Projects

7.1 Selecting the Right AI Solutions

7.2 Change Management and Stakeholder Adoption

7.3 Case Study: AI-Automated Reporting and Risk Forecasting in Consulting Projects

7.4 Hands-On Simulation Exercise: Tool Evaluation and Vendor Comparison

7.5 Hands-On Exercise: Measuring AI Effectiveness with Project Analytics Platforms

Module 8: Future Trends and AI in Agile Project Management

8.1 Autonomous and Self-Optimising Projects

8.2 AI for Remote and Distributed Agile Teams

8.3 Case Studies Inspired by Industry Trends

8.4 Hands-On Simulation Exercise: Designing an AI-Augmented Agile Workflow

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Frequently Asked Questions

How does this course integrate AI into traditional project workflows?

This course bridges the gap between conventional project management and modern automation. You will learn to use AI-driven tools to automate scheduling, resource allocation, and predictive risk assessment. Rather than replacing frameworks like Agile or Scrum, these modules show you how to enhance them, allowing you to optimize your team's output and deliver projects much faster while adding an invaluable skill to your professional CV.

Do I need prior technical knowledge or coding experience to enroll?

No coding experience is required for this training. It is specifically designed for modern managers, practitioners, and leaders who want to leverage pre-built AI software and enterprise prompt frameworks. We focus entirely on strategic application, showing you how to manage automated pipelines, evaluate tool efficiency, and apply machine learning insights directly to everyday project management workflows to advance your career.

What practical career skills will I gain by completing this training?

Upon completing this course, you will possess a high-value skill set that includes building predictive project models, managing AI-augmented team sprints, and reducing operational bottlenecks. Your CV will reflect a modern understanding of technical transformation, positioning you for advanced leadership roles and allowing you to command a competitive edge as a forward-thinking practitioner in any industry.