- Promoted by: Anonymous
- Platform: Udemy
- Category: Other IT & Software
- Language: English
- Instructor: Starweaver Team , Ritesh Vajariya , Paul Siegel
- Duration: 2 hour(s) 18 minute(s)
- Student(s): 1,274
- Rate 4.5 Of 5 From 12 Votes
- Expires on: 2026/02/27
-
Price:
19.9914.99
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for the "Mastering Prompt Engineering for Generative AI" course by Starweaver Team , Ritesh Vajariya , Paul Siegel on Udemy.
This course, boasting a 4.5-star rating from 12 reviews
and with 1,274 enrolled students, provides comprehensive training in Other IT & Software.
Spanning approximately
2 hour(s)
18 minute(s)
, this course is delivered in English
and we updated the information on February 27, 2026.
To get your free access, find the coupon code at the end of this article. Happy learning!
Course Description:
Ever wondered how to build AI systems that truly understand your business needs and deliver consistent, professional results? Most professionals know AI is transformative, but struggle to move beyond basic interactions to sophisticated applications that create real business value.
This comprehensive foundation course transforms you from an AI newcomer into a skilled GenAI architect who can design and implement complete AI solutions. You'll master the fundamental architecture of generative AI systems, explore enterprise LLM integration strategies, and develop advanced prompt engineering techniques that consistently deliver exceptional results. Through hands-on implementation, you'll build sophisticated conversation systems, optimize multi-step prompt chains, and create customer support applications that provide human-like assistance.
By the end of this course, you'll confidently architect GenAI applications from the ground up, implement enterprise LLM integrations with multiple providers, and design prompt strategies that work reliably across diverse business scenarios. You'll have the complete foundational knowledge needed to build scalable AI systems that drive measurable business impact.
Start your GenAI journey with the essential foundations every AI professional needs and become the architect who can transform business processes through intelligent AI applications.
Target Audience:
Software Engineers exploring AI integration
Product Managers implementing AI solutions
Data Scientists expanding into GenAI
Business Analysts optimizing AI workflows
Prerequisites:
Basic understanding of APIs and web services
Familiarity with Python programming
General knowledge of machine learning concepts
Experience with command line tools
Main Outcome:
Learners will be able to architect complete GenAI applications from foundational concepts to advanced prompt engineering systems that deliver consistent, professional-quality responses across diverse business scenarios.
Learning Objectives:
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.
Key Takeaways:
Complete GenAI foundations and system architecture
Production-grade prompt engineering mastery
Enterprise LLM integration and selection strategies
Customer support conversation system development
Skills Gained:
GenAI System Architecture
Advanced Prompt Engineering
LLM Integration and Management
Enterprise AI Application Design
SEO Keywords:
"Prompt engineering techniques"
"GenAI application development"
"Customer support chatbot"
"LLM prompt optimization"