Ementorhub

What you'll learn

Identify key GenAI modalities and tools relevant to program management in the software industry.

Utilize GenAI for risk assessment, resource allocation, and predictive analytics in software projects.

Analyze real-world case studies of GenAI applications in software program management.

Identify potential challenges and limitations of GenAI in program management and strategies to address them.

Skills you'll gain

Engineering Management

Program Management

Project Management Software

Predictive Modeling

Agile Software Development

Generative AI

Systems Development Life Cycle

Project Risk Management

Business Ethics

Technical Management

Project Planning

Risk Management

There is 1 module in this course

This course is tailored for professionals in the software development industry who want to harness the power of Generative AI in their roles. Ideal participants include Software Program Managers, IT Project Managers, and Tech-Focused CxOs, as well as Agile Coaches, Scrum Masters, Product Owners, and Software Development Team Leads. These individuals are looking to enhance their skills, stay ahead in the rapidly evolving tech landscape, and incorporate GenAI into their program management practices. Participants should have a solid understanding of Project and Program Management principles and practices. While no prior experience with AI is required, a curiosity about emerging technologies and their applications in project management is essential to fully benefit from this course. By the end of this course, learners will have explored the evolution of GenAI and its specific applications in software development program management. They will have applied GenAI tools for project planning, risk assessment, and predictive analytics, while also analyzing the impact of GenAI on software development lifecycles. Additionally, participants will be equipped with strategies for the responsible integration of GenAI into their program management workflows.