Generative AI for Program Managers

IBM via Coursera Specialization

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Are you a program or project professional keen to harness generative AI (GenAI) to enhance decision-making, optimize workflows, and improve stakeholder engagement? This Generative AI for Program Managers specialization gives you the expertise to leverage AI-powered transformation to improve operational efficiency, mitigate risk, and enhance strategic executionin just 3 weeks. During this program, you’ll explore the fundamentals of GenAI, its evolution, and its applications in program management. You’ll learn how to craft effective prompts that maximize AI-generated insights and integrate AI seamlessly into key program phases. You’ll explore how GenAI enhances stakeholder communication, risk assessment, and decision-making, ensuring that you can use AI to drive strategic program outcomes. Plus, you’ll look at ethical considerations and gain insights into responsible AI adoption, transparency, and governance in program management. Additionally, through hands-on labs using AI-powered tools, you’ll gain the practical skills you need to implement AI-driven strategies effectively. Enroll today and gain in-demand GenAI skills to boost your program management career in just 3 weeks.

Syllabus

Course 1: Generative AI: Introduction and Applications
- This course is designed for everyone, including professionals, executives, students, and enthusiasts, interested in learning about ... Enroll for free.

Course 2: Generative AI: Prompt Engineering Basics
- This course is designed for everyone, including professionals, executives, students, and enthusiasts interested in leveraging effective ... Enroll for free.

Course 3: Generative AI: A Game Changer for Program Managers
- Generative AI (GenAI) is transforming program management, enabling program managers to make smarter decisions, reduce risks, and drive ... Enroll for free.

Courses

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7 hours 27 minutes
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This course is designed for everyone, including professionals, executives, students, and enthusiasts interested in leveraging effective prompt engineering techniques to unlock the full potential of generative artificial intelligence (AI) tools like ChatGPT. Prompt engineering is a process to effectively guide generative AI models and control their output to produce desired results. In this course, you will learn the techniques, approaches, and best practices for writing effective prompts. You will learn about prompt techniques like zero-shot and few-shot, which can improve the reliability and quality of large language models (LLMs). You will also explore various prompt engineering approaches like Interview Pattern, Chain-of-Thought, and Tree-of-Thought, which aim at generating precise and relevant responses. You will be introduced to commonly used prompt engineering tools like IBM watsonx Prompt Lab, Spellbook, and Dust. The hands-on labs included in the course offer an opportunity to optimize results by creating effective prompts in the IBM Generative AI Classroom. You will also hear from practitioners about the tools and approaches used in prompt engineering and the art of writing effective prompts.
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7 hours 7 minutes
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This course is designed for everyone, including professionals, executives, students, and enthusiasts, interested in learning about generative AI and leveraging its capabilities in their work and lives. This course is your first step toward understanding the capabilities of generative AI, powered by different models, including large language models (LLMs). In this course, you will learn about the fundamentals and evolution of generative AI. You will explore the capabilities of generative AI in different domains, including text, image, audio, video, virtual worlds, code, and data. You will understand the applications of generative AI across different sectors and industries. You will learn about the capabilities and features of common generative AI models and tools, such as GPT, DALL-E, Stable Diffusion, and Synthesia. Hands-on labs, included in the course, provide an opportunity to explore the use cases of generative AI through IBM Generative AI Classroom and popular tools like ChatGPT. You will also hear from the practitioners about the capabilities, applications, and tools of generative AI.
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8 hours 51 minutes
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Generative AI (GenAI) is transforming program management, enabling program managers to make smarter decisions, reduce risks, and drive strategic value more effectively. Professionals with job-ready GenAI skills now instantly stand out to recruiters! In this course, you’ll explore how GenAI can transform program management tasks, plus how it aligns with latest edition of PMI’s Standard for Program Management. You’ll learn how AI can help you negotiate the program lifecycle across three key phases. For the Program Definition phase, you’ll learn how AI enhances stakeholder analysis, business case validation, and benefits identification. In the Program Delivery phase, you’ll see how AI-driven governance, risk management, and real-time insights optimize execution. Then in the Program Closure phase, you’ll learn how AI facilitates lessons learned analysis, impact assessments, and knowledge transfer. Additionally, you’ll explore ethical AI implementation, risk mitigation strategies, and responsible AI governance in program management. In this course, you’ll get hands-on experience with GenAI tools to create key deliverables essential for program success. In the final project, you’ll leverage GenAI to create artifacts required to complete each phase of the program lifecycle. If you’re keen to seamlessly integrate GenAI into your program management practices, drive efficiency, and ensure long-term program success, enroll today!

Taught by

Antonio Cangiano, Daniel C. Yeomans, Rav Ahuja and Skill-Up EdTech Team

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Generative AI: Prompt Engineering Basics

Generative AI: Introduction and Applications

Generative AI: A Game Changer for Program Managers

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