AI+ Project Manager™

Course code: AP260

Price of the certification exam is included in the price of the course.

Formerly known as AI+ Project Manager™

Streamline Project Success: AI-Enhanced Intelligent Solutions

  • Real-Time Integration: Learn to apply AI in project planning, decision-making, and execution
  • Advanced Curriculum: Covers AI algorithms, ML, and resource allocation tools
  • Multi-Disciplinary Focus: Tailored for complex, cross-functional project scenarios
  • Leadership Readiness: Empowers professionals to lead AI-driven project success
Akční cena
140 EUR

169 EUR including VAT

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Course dates

Starting date: Upon request

Type: Self-paced

Course duration: 8 hours

Language: en

Price without VAT: 140 EUR Akční cena

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Starting
date
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Type Course
duration
Language Price without VAT
Upon request Self-paced 8 hours en A 140 EUR Register
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Course description

Comprehensive AI Understanding:

Learn core AI concepts and their applications in project management, enhancing efficiency and decision-making.

Advanced AI Tools:

Discover and implement AI tools for scheduling, risk management, and resource allocation through practical examples and case studies.

Data-Driven Decision Making:

Master data analysis and visualization techniques to make informed project decisions and optimize outcomes.

Ethical AI Integration:

Gain knowledge on mitigating biases, developing AI governance frameworks, and navigating ethical dilemmas in AI-powered projects.

  • Hive
  • Wrike
  • Trello
  • ClickUp

Target group

Project Management Professionals: Enhance your expertise by integrating AI to streamline project workflows and improve decision-making.

IT Professionals: Learn how to leverage AI technologies to optimize processes and drive innovation across multi-disciplinary projects.

Business Strategists: Gain the skills to apply AI insights to strategic planning, forecasting, and driving business growth.

Tech Enthusiasts & Innovators: Explore the practical application of AI in project management to stay ahead in the rapidly evolving tech landscape.

Students & New Graduates: Strengthen your resume with in-demand skills in AI-driven project management and prepare for the future of work.

Course structure

Module 1: Introduction to Artificial Intelligence (AI) in Project Management

  • 1.1 Fundamentals of AI
  • 1.2 AI in project management
  • 1.3 Key AI Technologies
  • 1.4 Benefits and challenges
  • 1.5 Future prospects

Module 2: AI tools for project management

  • 2.1 Overview of AI Tools
  • 2.2 Artificial intelligence tools in action: improving efficiency in project management
  • 2.3 Selection of AI tools
  • 2.4 Implementation of AI tools
  • 2.5 Case studies

Module 3: Data-driven decision making

  • 3.1 Importance of data in artificial intelligence
  • 3.2 Data analysis techniques
  • 3.3 Application of the information obtained to project decisions
  • 3.4 Tools for data visualization and report generation
  • 3.5 Challenges and best practices

Module 4: AI to improve team collaboration and productivity

  • 4.1 AI-enhanced collaboration tools
  • 4.2 Boosting productivity with AI
  • 4.3 Project knowledge management with AI
  • 4.4 Overcoming the challenges of collaboration

Module 5: Ethical considerations and biases in AI

  • 5.1 Understanding AI ethics
  • 5.2 Identification and mitigation of biases
  • 5.3 Development of AI governance
  • 5.4 Case studies

Module 6: Implementation of AI in projects

  • 6.1 Strategies for AI integration
  • 6.2 How to choose the right AI tools
  • 6.3 Preparing project data for AI
  • 6.4 AI Implementation Plan
  • 6.5 Monitoring AI Integration
  • 6.6 Evaluation of AI results
  • 6.7 Risk management in AI projects
  • 6.8 Workshop: Implementation of AI tools

Module 7: The future of AI in project management

  • 7.1 Emerging trends in AI and project management
  • 7.2 AI and the changing role of the project manager
  • 7.3 Sustainability and AI in projects
  • 7.4 Adaptation to the future development of AI
  • 7.5 Predictive analysis and future planning

Optional Module: AI agents for project management

  • 1. Understanding AI Agents
  • 2. Case study
  • 3. Practice with AI agents

Prerequisites

Key concepts of basic mathematics and artificial intelligence, Python familiarity, fundamental AI/ML concepts

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Certification

50 questions, 70% passing, 90 minutes, online proctored exam

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