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Interactive training sessions led by experienced facilitators.
What is In-Person, Instructor-Led Training?
Our in-person training is delivered by a live facilitator who works directly with your team at your location. It’s our most popular format because it allows for real-time interaction, hands-on learning, and direct support.
Every session is tailored to your team’s specific goals, industry, and challenges—no generic, one-size-fits-all programs. Whether it’s a single session or a full training series, we design the experience to be relevant, practical, and fully aligned with your needs.
What is Live Webinar Training?
Live webinars are facilitator-led training sessions delivered online in real time. They’re ideal for teams working in different locations or with busy schedules.
This format offers shorter, more frequent sessions that are easy to coordinate—making it a convenient option for organizations with remote or distributed teams.
What is Virtual Classroom Training?
Virtual Classroom training is live, instructor-led training delivered online. It offers the same interactive experience as in-person sessions, with real-time discussions, group activities, and instructor feedback.
It’s a flexible option for organizations that want to reduce travel, save costs, or better fit training into busy schedules.
What is a Lunch & Learn Session?
Lunch & Learn sessions are short, facilitator-led training sessions delivered in person or online—typically during the lunch hour. They focus on specific topics or skills and offer a quick, engaging way to learn without a full-day commitment.
These sessions can be offered as one-time events or as part of a series, making them a great option for ongoing, bite-sized learning.
Online Learning
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AI and Project Management
Artificial Intelligence (AI) is transforming project management by automating tasks, optimizing workflows, and improving decision-making. This course explores how AI-powered tools assist with scheduling, risk management, resource allocation, and collaboration. Participants will learn how to integrate AI solutions into their project workflows, address ethical considerations, and balance AI-driven insights with human expertise. Through hands-on activities and discussions, project managers will gain the skills to effectively leverage AI while maintaining strategic control over their projects.
What Will Be Covered
LEARNING OBJECTIVES
This one-day workshop will help you teach participants how to:
- Explain how AI enhances planning, scheduling, risk management, and communication in projects.
- Demonstrate how AI-powered automation improves scheduling efficiency and prevents delays.
- Identify potential project risks and utilize predictive analytics to mitigate challenges.
- Explain how AI-driven tools enhance team collaboration and decision-making.
- Implement AI-based automation to streamline repetitive tasks and improve efficiency.
- Discuss ethical considerations, biases, and data security issues in AI-powered project management.
A Deeper Look
COURSE OUTLINE
A breakdown of each session included in this course.
Course Overview
You will spend the first part of the day getting to know participants and discussing what will take place during the workshop. Students will also have an opportunity to identify their personal learning objectives.
Understanding AI in Project Management
In this session, participants will explore key AI technologies and their role in project management. They will learn how AI-driven tools enhance efficiency while discussing challenges like data dependency and ethical considerations.
AI for Planning and Scheduling
In this session, participants will explore how AI predicts delays, reallocates resources, and prevents bottlenecks before they occur. They will also discuss challenges such as data accuracy and the need for human oversight in decision-making.
AI and Risk Management
In this session, participants will explore how AI-driven early warning systems provide proactive alerts, allowing teams to adjust schedules, reallocate resources, and prevent project setbacks. They will also discuss the importance of high-quality data and the need for human oversight in AI-driven risk management.
Communications and Collaboration
In this session, participants will explore how chatbots handle repetitive queries, send reminders, and automate updates, reducing project managers’ workload. They will also examine how virtual assistants analyze team performance, schedule meetings, and summarize key discussions, ensuring better organization and efficiency.
Data Analysis and Decision-Making
In this session, participants will explore how AI detects patterns and anomalies, predicts risks before they escalate, and optimizes resources by balancing workloads and monitoring spending. They will also examine AI-driven decision support systems that provide data-driven recommendations for improving schedules, budgets, and risk management.
AI and Task Automation
In this session, participants will explore how AI automates scheduling, reminders, record-keeping, and reporting. They will also examine the benefits of AI-driven workflow automation.
Understanding AI Limitations
In this session, participants will examine the limitations of AI in decision-making and explore the importance of human oversight. They will discuss scenarios where AI-driven recommendations may be incomplete or biased and consider how managers can ensure ethical AI use through transparency, accountability, and fairness.
Addressing Data Challenges
In this session, participants will examine some of the challenges AI faces when handling data, including integration issues, privacy concerns, and security risks. They will discuss strategies to mitigate these risks, such as data encryption, access controls, and compliance with privacy regulations.
Case Studies and Real-World Examples
In this session, participants will explore real-world examples of AI in project management. They will learn how companies like Siemens, Microsoft, and IBM have used AI to enhance efficiency, and examine cases where AI implementation failed due to unclear goals or lack of adoption.
Future of AI in Project Management
In this session, participants will look at key trends, such as digital twins for real-time project monitoring, NLP-driven communication tools, and intelligent automation for workflow optimization. They will also discuss ethical AI considerations, including bias prevention and transparency in decision-making.
Using AI Tools
In this session, participants will explore three AI tools: ChatGPT, Asana AI, and Otter.ai. They will generate project meeting notes, reports, and summaries to assess AI’s capabilities and limitations. They will also apply these tools to real-world project scenarios.
Workshop Wrap-Up
At the end of the course, students will have an opportunity to ask questions and fill out an action plan.
