INTRODUCTION
Artificial Intelligence (AI) is reshaping project management by enhancing efficiency, automation, and decision-making. This beginner-level course provides an introduction to AI fundamentals and their applications in project environments. Participants will learn how AI-driven tools optimize scheduling, risk assessment, and resource allocation. The course focuses on the essential AI skills project managers need to remain competitive in an evolving landscape.
Date
Day | Time | Price | Country |
---|---|---|---|
Mon – Wed | 8:00 – 10:00 | $5/hrs | Turkey |
Tue – Thu | 18:00 – 19:00 | $5/hrs | Turkey |
Wed – Fri | 20:00 – 21:00 | $5/hrs | Turkey |
Sat – Sun | 18:00 – 19:00 20:00 – 21:00 | $8/hrs | Turkey |
This Training Course Will Highlight
- The fundamentals of AI and machine learning in project management.
- AI applications for project scheduling, task automation, and tracking
- The impact of AI on project risk identification and mitigation.
- AI-powered data-driven decision-making in project execution.
- Ethical considerations and challenges in AI adoption.
Objectives
- Understand the fundamentals of AI and its role in project management.
- Identify AI-powered tools and their applications in project workflows.
- Learn how AI enhances project scheduling and risk assessment.
- Develop a foundational understanding of AI-driven analytics.
- Explore the benefits and limitations of AI in project environments.
Training Methodology
- Instructor-led training with interactive presentations.
- Practical demonstrations of AI-powered project management tools
- Group discussions on AI adoption in project workflows.
- Real-world examples of AI-driven project improvements.
- Case study: Using AI for project scheduling optimization
- Q&A and collaborative exercises.
Organisational Impact
- Improved project efficiency through AI-driven automation.
- Better risk identification and mitigation using AI analytics.
- Increased productivity in project planning and execution.
- Enhanced decision-making through AI-powered insights.
- Strengthened competitive advantage by leveraging AI solutions.
Personal Impact
- Gain a fundamental understanding of AI in project management.
- Develop analytical skills for AI-based project insights.
- Learn to use AI-powered project scheduling and tracking tools.
- Improve efficiency in handling project risks and uncertainties.
- Enhance career prospects by acquiring AI-related skills.
Who should attend?
- Entry-level project managers.
- Business analysts involved in project planning.
- Team leads and supervisors managing projects.
- Professionals transitioning into AI-driven project environments.
- IT professionals supporting project management tools.
- Change management professionals.
- Professionals interested in AI applications in project management.
Course Outline
Day 1
Fundamentals of AI in Project Management
- Introduction to AI and machine learning concepts.
- The role of AI in modern project management.
- Overview of AI-powered project management tools.
- The impact of automation on traditional project workflows.
- Ethical considerations in AI-driven project management.
Day 2
AI for Project Planning and Scheduling
- AI-driven project scheduling techniques.
- Resource allocation using AI optimization.
- AI-based risk identification in project planning.
- Data-driven forecasting for project timelines.
- AI’s role in workload balancing and capacity planning.
Day 3
AI in Risk Management and Decision-Making
- AI-powered risk assessment models.
- Predictive analytics for early risk identification.
- Using AI to automate risk response strategies.
- AI-driven decision support systems.
- AI’s role in project governance and compliance.
Day 4
AI Tools for Project Monitoring and Execution
- Real-time project tracking using AI dashboards.
- Performance monitoring and reporting with AI insights.
- AI-based quality control and compliance tracking.
- AI-powered communication and collaboration tools.
- Automating routine project management tasks with AI.
Day 5
Implementing AI in Project Management
- Steps to integrate AI into existing project workflows.
- Selecting the right AI tools for project needs.
- Overcoming challenges in AI adoption.
- Measuring the impact of AI on project performance.
Cancellation policy
no refund is accepted
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