Starweaver
GenAI Foundations and Prompt Engineering

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Starweaver

GenAI Foundations and Prompt Engineering

Ritesh Vajariya
Starweaver

Instructors: Ritesh Vajariya

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

6 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Master GenAI foundational concepts and LLM integration strategies for building scalable enterprise applications.

  • Construct advanced prompt engineering workflows with multi-step chains and context optimization.

  • Implement enterprise GenAI use cases with systematic design and ROI measurement frameworks.

  • Develop production-ready conversation systems with template engines and quality assurance protocols.

Details to know

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Recently updated!

September 2025

Assessments

2 assignments¹

AI Graded see disclaimer
Taught in English

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This course is part of the GenAI Data and Analytics Academy Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 3 modules in this course

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.

What's included

13 videos4 readings1 assignment3 peer reviews3 discussion prompts

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.

What's included

12 videos3 readings1 assignment3 peer reviews3 discussion prompts

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.

What's included

1 video1 peer review

Earn a career certificate

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Instructors

Ritesh Vajariya
14 Courses6,381 learners

Offered by

Starweaver

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¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.