AI+ Agile Project Management Fundamentals™

Kód kurzu: NPAP110002

Tato část není lokalizována

Transform Project Delivery with AI+ Agile Project Management Fundamentals

Smart Sprint Planning: Discover how AI-powered insights improve backlog prioritization, sprint forecasting, and resource allocation for predictable delivery.
Adaptive Workflow Optimization: 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 analyze 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.

1 830 Kč

2 214 Kč s DPH

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+420 731 175 867 edu@edutrainings.cz

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Termíny kurzu
Popis kurzu
Struktura kurzu
Předpokládané znalosti

Termíny kurzu

Počáteční datum: Na vyžádání

Garantovaný

Forma: Self-paced

Délka kurzu: 8 hodin

Jazyk: en

Cena bez DPH: 6 950 Kč

Registrovat

Počáteční datum: Na vyžádání

Garantovaný

Forma: Self-paced

Délka kurzu: 8 hodin

Jazyk: en

Cena bez DPH: 1 830 Kč

Registrovat

	Počáteční datum	Forma	Délka kurzu	Jazyk	Cena bez DPH
G	Na vyžádání	Self-paced	8 hodin	en	6 950 Kč	Registrovat

G	Na vyžádání	Self-paced	8 hodin	en	1 830 Kč	Registrovat
G	Garantovaný kurz

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Popis kurzu

Tato část není lokalizována

AI Integration in Agile Planning

Learn how to incorporate AI tools into sprint planning, backlog grooming, and resource allocation to improve forecasting accuracy and team productivity.

Smart Workflow Automation with AI

Gain expertise in automating repetitive project tasks such as status tracking, reporting, and documentation, enabling teams to focus on high-value work.

Data-Driven Decision Making

Understand how AI-powered analytics can help interpret project metrics, predict risks, and support faster, evidence-based decisions throughout the project lifecycle.

AI-Enhanced Risk and Issue Management

Discover how intelligent tools can identify potential bottlenecks, delays, and dependencies early, allowing proactive mitigation and smoother delivery.

Natural Language Processing for Collaboration

Learn to use NLP-based assistants to summarise meeting notes, extract action items, and improve communication across distributed Agile teams.

Predictive Sprint Performance Tracking

Master AI techniques to forecast sprint outcomes, measure velocity trends, and continuously optimise team performance.

Struktura kurzu

Tato část není lokalizována

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

Předpokládané znalosti

Tato část není lokalizována

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.

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produktová podpora

+420 731 175 867

edu@edutrainings.cz

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