Master Advanced Generative AI Techniques

Develop a deep understanding of cutting-edge Generative AI methods, including advanced prompt engineering, Taxonomy Augmented Generation (TAG), Retrieval Augmented Generation (RAG), Langchain, and Agent architecture, using a sandbox in Azure for hands-on projects.

Apply Generative AI to Real-World Business Problems

Learn to analyze use cases for Generative AI, distinguish between effective and ineffective applications, and apply these techniques to solve real-world business challenges in various industries.

Lead and Contribute to AI-Driven Client Solutions

Gain the skills to lead and contribute to client engagements and accelerators by leveraging Generative AI solutions, positioning yourself as a valuable asset in driving innovation and disruptive technologies within your organization.

On Demand

Six-Weekly, 10-min Master Classes

Live Faculty Sessions

Six-Weekly, 90-min Interactive Faculty Sessions, plus Weekly Office Hours

AI Capstone

Develop Your Own Working Generative AI Prototype

Advanced AI Certificate

Advanced Certificate from UC Irvine in Generative AI

UC Irvine Merage Alumni

UC Irvine Paul Merage School of Business Alumni Status Granted upon Completion

50.5 CPE Credits

NASBA Certified Program with 50.5 CPE Credits

Curriculum

9 Chapters · 99 Lessons

  1. 1

    General Program Information

    1. (Included in full purchase)

      Welcome!

    2. (Included in full purchase)

      Program Brochure

    3. (Included in full purchase)

      Program Live Sessions Schedule

    4. (Included in full purchase)

      Contact Directory

    5. (Included in full purchase)

      Captstone Overview

  2. 2

    Program Orientation & Capstone Set-Up

    1. (Included in full purchase)

      Live Program Orientation

    2. (Included in full purchase)

      Program Orientation Zoom Recording

    3. (Included in full purchase)

      GenAI Benchmark Survey

    4. (Included in full purchase)

      Sandox Presentation

    5. (Included in full purchase)

      GenAI Sandbox Link

    6. (Included in full purchase)

      LDI Designing Solutions Orientation Presentation

    7. (Included in full purchase)

      KPMG Drop Policy & Orientation Presentation

  3. 3

    Module One: Foundations of LLM-Based Applications

    1. Module One Introduction Free preview
    2. (Included in full purchase)

      Session One: What is AI?

    3. (Included in full purchase)

      Session Two: Prompt Engineering, RAG + TAG

    4. (Included in full purchase)

      Session Three: Opening the GenAI Blackbox (Part 1)

    5. (Included in full purchase)

      Session Four: Opening the GenAI Blackbox (Part 2)

    6. (Included in full purchase)

      Session Five: Economics of Generative AI

    7. (Included in full purchase)

      Session Six: Use Cases for Generative AI

    8. (Included in full purchase)

      Module One Final Quiz

    9. (Included in full purchase)

      Module One: Live Session

    10. (Included in full purchase)

      Module One: Live Session Recording

    11. (Included in full purchase)

      Module One: Live Session PPT

    12. (Included in full purchase)

      Module One: Live Office Hour

    13. (Included in full purchase)

      Module One: Office Hours Recording

    14. (Included in full purchase)

      Module 1 Individual Homework Assignment

  4. 4

    Module Two: Advanced Prompt Engineering

    1. Module Two Introduction Free preview
    2. (Included in full purchase)

      Session One: Advanced Prompt Engineering

    3. (Included in full purchase)

      Session Two: Prompt Design

    4. (Included in full purchase)

      Session Three: Advanced Techniques

    5. (Included in full purchase)

      Session Four: Tree of Thought Prompting

    6. (Included in full purchase)

      Session Five: Prompt Tunning & Refinement

    7. (Included in full purchase)

      Session Six: Recap

    8. (Included in full purchase)

      Module Two Final Quiz

    9. (Included in full purchase)

      Module Two: Live Session

    10. (Included in full purchase)

      Module Two: Live Session Recording

    11. (Included in full purchase)

      Module Two: Live Session PPT

    12. (Included in full purchase)

      Module Two: Live Office Hour

    13. (Included in full purchase)

      Module Two: Office Hours Recording

    14. (Included in full purchase)

      Module Two: Office Hours Recording

    15. (Included in full purchase)

      Module 2 Individual Homework Assignment

  5. 5

    Module Three: Optimizing LLM'S Using Taxonomy Augmented Generation (TAG)

    1. Module Three Introduction Free preview
    2. (Included in full purchase)

      Session One: Taxonomy Augmented Generation (TAG)

    3. (Included in full purchase)

      Session Two: LLM with Unsupervised and Supervised Classification

    4. (Included in full purchase)

      Session Three: LLM and Supervised Classification with Description

    5. (Included in full purchase)

      Session Four: LLM and Supervised Classification Multi-Shot

    6. (Included in full purchase)

      Session Five: LLM with Taxonomy Augmented Generation (TAG)

    7. (Included in full purchase)

      Session Six: LLM with TAG Summary

    8. (Included in full purchase)

      Module Three Final Quiz

    9. (Included in full purchase)

      Module 3: Live Session PPT

    10. (Included in full purchase)

      Module Three: Live Session

    11. (Included in full purchase)

      Module Three: Live Session Recording

    12. (Included in full purchase)

      Module Three: Live Office Hour

    13. (Included in full purchase)

      Module Three: Office Hours Recording

    14. (Included in full purchase)

      Module 3 Group Homework Assignment

  6. 6

    Module Four: Retrieval Augmented Generation (RAG) Systems

    1. Module Four Introduction Free preview
    2. (Included in full purchase)

      Session One: Challenges with LLMs

    3. (Included in full purchase)

      Session Two: Internal vs External Models

    4. (Included in full purchase)

      Session Three: Building a RAG System

    5. (Included in full purchase)

      Session Four: RAG Use Cases

    6. (Included in full purchase)

      Session Five: Data Extraction, Chunkification & Embedding

    7. (Included in full purchase)

      Session Six: Applying Embeddings & Vector Databases

    8. (Included in full purchase)

      Module Four Final Quiz

    9. (Included in full purchase)

      Module 4 Session PPT

    10. (Included in full purchase)

      Module Four: Live Session

    11. (Included in full purchase)

      Module Four: Live Session Recording

    12. (Included in full purchase)

      Module Four: Office Hour

    13. (Included in full purchase)

      Module Four: Office Hours Recording

    14. (Included in full purchase)

      Module 4 Group Homework Assignment

  7. 7

    Module Five: Testing, Evaluation and Governance of LLM Applications

    1. Module Five Introduction Free preview
    2. (Included in full purchase)

      Session One: AI Application & Key Components

    3. (Included in full purchase)

      Session Two: AI Governance Framework

    4. (Included in full purchase)

      Session Three: LLM Testing Framework

    5. (Included in full purchase)

      Session Four: LLM Model Evaluation and Measurements

    6. (Included in full purchase)

      Session Five: Collaboration Strategies

    7. (Included in full purchase)

      Session Six: AI Governance Summary

    8. (Included in full purchase)

      Module Five Final Quiz

    9. (Included in full purchase)

      Module Five: Live Session PPTs

    10. (Included in full purchase)

      Module Five: Live Session

    11. (Included in full purchase)

      Module Five: Live Session Recording

    12. (Included in full purchase)

      Module Five: Office Hour

    13. (Included in full purchase)

      Module Five: Office Hours Recording

    14. (Included in full purchase)

      Module 5 Homework Assignment

  8. 8

    Module Six: Agent Frameworks, Orchestration, Co-Pilots and Solution Patterns

    1. Module Six Introduction Free preview
    2. (Included in full purchase)

      Session One: Building GenAI Solutions with TAG and RAG

    3. (Included in full purchase)

      Session Two: GenAI Integration with Third Party Systems

    4. (Included in full purchase)

      Session Three: Combining Generative and Predictive AI

    5. (Included in full purchase)

      Session Four: Full Stack AI Frameworks

    6. (Included in full purchase)

      Session Five: Agentic Framework

    7. (Included in full purchase)

      Session Six: Course Summary

    8. (Included in full purchase)

      Module Six Final Quiz

    9. (Included in full purchase)

      Module 6: Live Session PPTs

    10. (Included in full purchase)

      Module Six: Live Session

    11. (Included in full purchase)

      Module 6 Live Session Recording

    12. (Included in full purchase)

      Module Six: Office Hour

    13. (Included in full purchase)

      Module 6 Homework Assignment

    14. (Included in full purchase)

      [ACTION NEEDED]: Course Evaluation

    15. (Included in full purchase)

      Module Six: Office Hours Recording

  9. 9

    Final Capstone Presentations

    1. (Included in full purchase)

      Final Capstone Presentation is due on Friday March 07, 2025, at 6pm

Meet Your World-Class Faculty

Leading Global Experts in the Field of Information Systems, Data and Generative AI 

Dr. Vidyanand "VC" Choudhary

Dr. Vidyanand “VC” Choudhary is a Professor of Information Systems and Director of International Programs, specializing in competitive strategy for technology products and AI. His research spans the economics of information systems, AI’s business impact, innovation, recommender systems, corporate governance, and pricing strategies for SaaS and information goods. He has published extensively in top-tier journals and currently teaches courses on AI, machine learning, and global business strategy. Dr. Choudhary has held several leadership roles, including Senior Associate Dean and Faculty Chair.

Dr. Vibhanshu Abhishek "Vibs"

Dr. Vibhanshu Abhishek is an Associate Professor of Information Systems at UC Irvine’s Paul Merage School of Business. His research explores the impact of emerging technologies on consumer behavior, business strategy, and market dynamics, with a focus on multi-channel coordination, advertising, e-commerce, and shared urban mobility. His work is published in leading management journals and has garnered recognition, including awards from Google, Adobe, and Flipkart. Dr. Abhishek’s expertise is sought by top firms like McKinsey, Sequoia Capital, and Adobe, and his insights have been featured in major media outlets. He holds a PhD from Wharton and was previously a faculty member at Carnegie Mellon University.

Ms. Neena Sathi

Neena Sathi is a Principal at Applied AI Institute, specializing in analytical and cognitive AI solutions, including Generative AI, Conversational AI, and Advanced Machine Learning. With over 30 years of consulting experience, she has held leadership roles at KPMG, IBM, and CenturyLink, focusing on cognitive automation and customer experience enhancement. An expert in developing AI roadmaps and cognitive solutions, she guides clients in implementing transformative AI strategies. Ms. Sathi is a Master Certified Integration Architect and PMP, with numerous publications in prestigious forums like AAAI, IEEE, and IBM conferences.

Ready to Accelerate Your Future?

Take the first step towards mastering designing solutions with Generative AI. Enroll now to unlock a world of opportunities in AI strategy.

Contact Us for Access (opens email in new window)

Module One Preview

This foundational module opens the door to the fascinating world of Large Language Models, or LLMs, and their transformative impact on modern industries.  In this module, participants will gain an essential understanding of how generative AI and LLMs function—learning the principles that underpin their remarkable ability to process language, generate insights, and drive decision-making.

Unlock the Power of Generative AI Applications

Offered by UC Irvine’s Leadership Development Institute, Designing Solutions with Generative AI is an eight-week, highly interactive online leadership program. This intermediate-level course features weekly live virtual sessions and a hands-on, project-based curriculum that provides both theoretical and practical knowledge in generative AI. Taught by a unique blend of top academic and industry professionals, participants will gain experience building their own GenAI solution.  The program delves into the world of large language models (LLMs), and explores pathways for new accelerated value creation. Through a Capstone project, participants develop a working prototype of a generative AI application, supported by a library of class projects with sample code and tutorials.