What will you learn in this Generative AI for Program Managers Specialization Course
Understand the fundamentals of generative AI and its applications in program management.
Master prompt engineering techniques to effectively guide generative AI models.
Apply generative AI tools to enhance decision-making, optimize workflows, and improve stakeholder engagement across program lifecycle phases.
Gain hands-on experience through labs and projects to solidify your understanding and skills.
Program Overview
Course 1: Generative AI: Introduction and Applications
⏳ 7 hours
- Learn the basics of generative AI, its capabilities, and real-world use cases across various industries.
Course 2: Generative AI: Prompt Engineering Basics
⏳ 7 hours
- Delve into prompt engineering concepts, exploring techniques like zero-shot and few-shot prompting, and tools to create effective prompts.
Course 3: Generative AI: A Game Changer for Program Managers
⏳ 8 hours
- Apply generative AI tools and techniques in program management processes such as program definition, delivery, and closure.Coursera+2
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Job Outlook
Completing this specialization prepares you for roles such as Program Manager, Project Manager, or Portfolio Manager.
The skills acquired are applicable across various industries that utilize program management and AI technologies.
Enhance your employability by gaining practical experience in applying generative AI to program management workflows.
Specification: Generative AI for Program Managers Specialization
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FAQs
- No prior AI or program management experience is required.
- Suitable for beginners in AI or early-career program managers.
- Introduces fundamental concepts of generative AI and program workflows.
- Provides step-by-step labs and practical exercises.
- Encourages hands-on practice for real-world application.
- Teaches generative AI tools for optimizing workflows.
- Helps automate routine tasks and reporting.
- Enhances stakeholder engagement through AI-assisted insights.
- Improves decision-making with data-driven recommendations.
- Supports risk assessment and program planning using AI models.
- Access to generative AI platforms and software for lab exercises.
- Basic familiarity with office productivity tools is helpful.
- Course provides guidance on using AI tools effectively.
- No expensive or specialized software is required.
- Cloud-based platforms are sufficient for completing assignments.
- Regular engagement with AI tools strengthens understanding.
- Apply techniques to small projects before scaling to full programs.
- Experiment with prompt engineering to generate actionable insights.
- Review previous exercises to refine workflow automation.
- Continuous learning helps adapt AI solutions to evolving project needs.
- Explore advanced AI for business decision-making courses.
- Study automation, predictive analytics, and portfolio management tools.
- Join professional networks or AI-focused PM communities.
- Experiment with AI solutions for larger, cross-functional programs.
- Build a portfolio of AI-driven projects to enhance career opportunities.
