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GenAI Foundations and Prompt Engineering

This comprehensive foundation course transforms you from an AI newcomer into a skilled GenAI architect who can design and implement complete AI solutions.

Ritesh Vajariya
Ritesh Vajariya
Published: Oct 2025
Core
Data Science
6 hours
GenAI Foundations and Prompt Engineering

Course Overview

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. 

Skills You Will Gain

GenAI in Business
Prompt Engineering
GenAI Data
GenAI in Marketing
Cybersecurity Foundations

Course Includes

1k
STUDENTS*
98.6%
RECOMMEND*

This course includes:

  • On-demand videos
  • Practice assessments
  • Multiple hands-on learning activities
  • Exposure to a real-world project
  • 100% self-paced learning opportunities
  • Certification of completion

Learning Outcomes (At the end of this program, you will be able to...)

  • Apply GenAI system architecture principles to design scalable AI applications. 
  • Construct advanced prompt engineering patterns for different business use cases. 
  • Implement interactive prompt building workflows with real-time optimization. 
  • Develop customer support conversation systems with quality assurance frameworks. 

Prerequisites

In this course, learners are expected to have a basic understanding of APIs and web services to effectively integrate AI systems into real-world applications. Familiarity with Python programming is important, as it serves as the primary language for implementing generative AI solutions. A general knowledge of machine learning concepts will provide the necessary foundation to grasp the core principles of GenAI and large language models. Additionally, experience with command line tools will help in setting up development environments and managing workflows efficiently throughout the course.

Who Should Attend

In this course, the target audience includes software engineers who are exploring AI integration to enhance their applications, product managers seeking to implement AI-driven solutions for business growth, data scientists looking to expand their expertise into generative AI, and business analysts aiming to optimize workflows and decision-making with AI-powered tools.

Curriculum

Explore the comprehensive, hands-on curriculum designed to build your expertise step by step.

Meet Your Expert Instructors

Ritesh Vajariya

Ritesh Vajariya

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*Where courses have been offered multiple times, the “# Students” includes all students who have enrolled. The “%Recommended” shown is also based on this data.