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Coursera

GenAI Foundations and Prompt Engineering

Starweaver via Coursera

Overview

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Have you ever struggled to get consistent, high-quality responses from GenAI systems or wondered how to build chatbots that genuinely understand your customers’ needs? While many professionals recognize the power of Generative AI (GenAI), few understand how to effectively communicate with it to unlock its full potential. This GenAI Foundations course transforms you into a prompt engineering expert. You’ll learn to design sophisticated interactions with large language models, master the architecture of GenAI systems, and explore real-world enterprise applications. By practicing advanced prompt engineering techniques, you’ll learn how to consistently deliver exceptional results. You’ll build multi-step prompt chains, optimize context windows, and create customer support chatbots that provide human-like interactions. Tailored for professionals aiming to deepen their AI integration skills, this course is ideal for software engineers embedding GenAI into applications, product managers implementing AI-driven features, data scientists expanding into generative AI models, and business analysts optimizing workflows with AI capabilities. Whether you’re developing prototypes or full-scale production systems, you’ll be equipped to elevate your AI initiatives. Participants should be comfortable with APIs, web services, Python coding, and general machine learning concepts. Familiarity with prompt engineering tools and a willingness to experiment will help you excel. By course end, you’ll be able to apply GenAI architecture principles to design scalable AI applications, craft advanced prompt engineering patterns for various business use cases, build interactive multi-step workflows, and create robust customer support systems. These skills will empower you to lead AI-driven innovation in your organization.

Syllabus

  • GenAI Foundations
    • In this module, you’ll learn how to design and build robust GenAI applications by exploring the core architecture and components of modern AI systems. You’ll set up a professional development environment—configuring SDKs, tooling, and data pipelines—and examine real-world enterprise implementations to see how organizations leverage GenAI for competitive advantage. Through expert-led walkthroughs, hands-on setup exercises, and case-study analyses, you’ll gain the skills to deploy scalable, production-ready generative AI solutions.
  • Prompt Engineering
    • In this module, you’ll master the art of prompt engineering by exploring the core principles of prompt design, the structural elements that drive model behavior, and the spectrum of prompt patterns—single-shot, few-shot, and chain-of-thought. You’ll learn how to craft, test, and refine prompts for diverse business scenarios, understand the trade-offs between prompt complexity and performance, and apply evaluation metrics to ensure consistent, high-quality outputs. Through expert-led demos, hands-on prompt labs, real-world case studies, and interactive assessments, you’ll gain the skills to engineer prompts that reliably unlock the full power of generative AI.
  • Course Conclusion
    • In this module, you’ll consolidate your GenAI and prompt engineering expertise by recapping core techniques, reflecting on real-world applications, and charting your continued growth path. You’ll integrate skills into end-to-end project scenarios, explore advanced topics like Retrieval-Augmented Generation and AI agents, and plan your specialization roadmap. Through instructor-led reflections, interactive planning exercises, and curated resource guides, you’ll finish ready to apply your learning confidently and pursue deeper mastery.

Taught by

Ritesh Vajariya and Starweaver

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