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  1. Courses
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  3. Gen AI for IT Project Managers

Gen AI for IT Project Managers

This course provides an essential understanding of how GenAI can be integrated into IT project management to enhance efficiency, decision-making, and innovation.

Soheil Haddadi
Reza Moradinezhad
Reza MoradinezhadSoheil Haddadi
Data Science | intermediate | 2 hours |   Published: Nov 2024
In partnership with:  Coursera

    Discussions

Overview

1KSTUDENTS*
98.4%RECOMMEND*

This course includes:

  • 2 hours of on-demand video  
  • Certificate of completion  
  • Direct access/chat with the instructor 
  • 100% self-paced online 

"GenAI for IT Project Managers" is designed to introduce IT project managers to the revolutionary world of GenAI technologies. This course provides an essential understanding of how GenAI can be integrated into IT project management to enhance efficiency, decision-making, and innovation. The content is tailored specifically for IT project managers who are looking to incorporate advanced technologies into their projects and workflows. 

Learners will learn about the various applications of GenAI in project management, including automation of routine tasks, improvement of communication, and enhancement of risk management. By the end of this course, IT project managers will be equipped with the knowledge to apply GenAI tools effectively, fostering a transformative impact on their project outcomes and overall team performance. 

This introductory course will serve as a gateway to more advanced topics in GenAI, preparing learners to adopt and champion technological advancements within their teams and projects. 

Skills You Will Gain

Risk
Management

Learning Outcomes (At the end of this program you will be able to)

  • Identify how GenAI can support essential IT Project Manager functions.
  • Assess real-world case studies where GenAI has been employed to streamline IT project management tasks.
  • Analyze the risks, challenges, and ethical implications of deploying GenAI within IT project management.

Prerequisites

Participants should have a foundational understanding of IT project management, including key project lifecycle stages and processes. While a deep technical background is not required, familiarity with IT infrastructure and software development cycles will help contextualize the application of GenAI in project management. 
 

Who Should Attend

This course is designed for team leads, senior project managers, and aspiring IT project managers who are eager to leverage GenAI technologies to enhance their project management capabilities. Whether you are a seasoned IT professional looking to innovate within your projects or an up-and-coming manager seeking to distinguish yourself, this course offers valuable insights into the integration of GenAI tools and methodologies in project management.
 

Curriculum

Instructors

Frequently Asked Questions

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Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.

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Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.

*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.
1Module 1: Gen AI for IT Project Managers
Reza Moradinezhad

Reza Moradinezhad

Reza is a passionate advocate for fostering effective and trustworthy collaboration between humans and artificial intelligence, with a strong commitment to advancing the ethical use of Generative AI. Holding a PhD in Computer Science from Drexel University, his research focuses on enhancing human trust in Embodied Virtual Agents (EVAs). Through collaborations with prestigious institutions such as MIT Media Lab, CMU HCII, Harvard University, and UCSD, Reza has contributed impactful research published in leading journals like Springer Nature, ACM CHI, and ACM C&C. His work has gained recognition from the academic community, earning him accolades such as the Outstanding Reviewer award by ACM ICMI 2019 and ACM CHI 2021. His research has also been featured in media outlets including The Next Web, TechXplore, and CBS News.

As an Assistant Teaching Professor at Drexel University's College of Computing and Informatics, Reza has shaped the minds of both undergraduate and graduate students, guiding them through complex topics such as Artificial Intelligence, Software Engineering, and Computer Graphics. His dedication to education extends beyond teaching, mentoring research projects on topics ranging from mind-wandering in the human brain to the effectiveness of creativity support tools in fostering innovation.

In addition to his academic work, Reza served as an AI Scientist at TulipAI, where he focused on ensuring the ethical and responsible application of Generative AI in media creation. He is driven by the vision of making AI more trustworthy for humanity and believes in designing transparent, fair, and responsible interactions with AI systems. Through his work, Reza aims to harness the full potential of AI while adhering to ethical principles and promoting responsible innovation.

With a proven track record in academic research, collaborative projects, and a deep passion for ethical AI development, Reza is committed to making significant contributions to the evolving field of Human-AI interaction.

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Soheil Haddadi

Soheil Haddadi

Soheil is a Postdoctoral Researcher with a strong academic foundation in Control and Automation Systems Engineering, specializing in Artificial Intelligence. His expertise spans across Data Science, Machine Learning, LLMs, Deep Learning, Natural Language Processing (NLP), and Robotics. Soheil has successfully applied his skills in both industry and research environments, contributing to advancements in AI.

Currently, as a Postdoctoral Researcher, Soheil is dedicated to pushing the boundaries of AI. His technical proficiency in Python, SQL, TensorFlow, and Keras, combined with a deep understanding of AI methodologies, has enabled him to deliver innovative solutions and insights. His prior work includes leading diverse projects such as sales forecasting using time series and LSTM neural networks, autonomous indoor navigation for quadrotors using ORB-SLAM, and deep learning-based credit scoring in the banking sector.

Soheil’s experience in data analysis and visualization further enhances his comprehensive understanding of how AI can address complex problems and create tangible value. His contributions are a testament to his dedication to advancing AI research and its real-world applications.

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Segment 01 - Introduction to GenAI for IT Project Managers

Segment 02 - Glossary for GenAI and IT Project Managers

Segment 03 - History & Background for GenAI and IT Project Managers

Segment 04 - Demo for Documentation Automation and Communication with Peplexity.ai

Segment 05 - Demo for Enhancing Risk Management with ChatGPT and Bing Copilot 1

Segment 06 - Demo for Improving Resource Allocation with Gemini

Segment 07 - Remediating Risks and Ethical Concerns

Segment 08 - Demo for Task Distribution with Gemini

Segment 09 - Demo for Project Forecasting and Task Prioritization with ChatGPT 1

Segment 10 - Practice Project for IT Project Managers

Segment 11 - Closing Thoughts: What’s Next