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Unclaimed ProfileIn the rapidly evolving landscape of artificial intelligence, Technical Program Managers (TPMs) face the unique challenge of steering Generative AI initiatives from conceptual proofs-of-concept to production-grade, scalable solutions. Leading GenAI Programs: A TPM’s Guide to Innovation, created by industry professional Peter Saddow, provides a comprehensive blueprint designed specifically for these modern leaders. The course bridges the gap between deep technical understanding and strategic business execution. Participants will explore core GenAI architectures, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and advanced prompt engineering, without needing a background in complex coding. Beyond technical fundamentals, this intermediate-level curriculum focuses on the practical mechanics of managing AI project lifecycles, identifying and mitigating deployment risks, navigating ethical governance, and aligning multi-disciplinary teams. By focusing on cross-functional communication, TPMs will master the art of explaining complex AI metrics to non-technical stakeholders, ensuring project transparency and driving tangible business value. Whether you are looking to pivot your program management career toward cutting-edge AI technologies or aiming to optimize your organization's current engineering pipelines, this course delivers the frameworks and confidence needed to champion innovative, reliable GenAI programs in today's competitive market.
About the creator
Peter Saddow
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Peter Saddow is a seasoned technical program management professional who specializes in guiding engineering and product teams through the complex, rapidly evolving landscape of Generative AI. With years of hands-on experience driving multi-million dollar technology initiatives from concept to deployment, Peter has mastered the art of translating cutting-edge research into scalable, production-ready enterprise applications. His instructional approach is deeply rooted in practical execution, moving beyond theoretical frameworks to provide students with actionable blueprints, real-world case studies, and robust risk-mitigation strategies. Throughout his career, Peter has excelled at fostering collaboration between data scientists, software engineers, and product executives, a skill he…Show more
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Program Overview
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Course language
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Understand the fundamentals of Generative AI and how it can drive business value
- Learn the key responsibilities of a TPM in GenAI projects
- Master the execution lifecycle of GenAI initiatives, from PoC to scaling
- Gain practical knowledge of AI tools and technologies, including LLMs, RAG, and prompt engineering
- Develop skills to manage risks and ethical concerns in AI programs
- Learn how to communicate the business impact of GenAI to non-technical stakeholders
- Gain hands-on experience with TPM-specific tools and frameworks for managing GenAI projects
Best For
- Technical Program Managers aiming to lead Generative AI product lifecycles
- Project managers transitioning into AI-focused leadership roles
- Engineering managers who need to bridge technical AI concepts with business strategy
- Professionals responsible for managing cross-functional AI implementation teams
Not For
- Software engineers looking to learn deep coding or model training techniques
- Complete beginners with no prior experience in program or product management
- Data scientists seeking advanced mathematical or machine learning theory
- Individuals focused exclusively on front-end UI development
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