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Custom GenAI Models for Business

5.0

(8 ratings)

·

3 Weeks

·

Cohort-based Course

Are general purpose LLMs falling short for you? Supercharge your business with the power of AI & custom generative AI models.

Guest speakers or lecturers on tech at:

Stanford University
Princeton University
Massachusetts Institute of Technology
Harvard University

Course overview

It's time to level-up! Unlock the power of GenAI tailored to your business

Despite all the hype, we've been hearing from many companies that they are having poor experiences with general purpose GenAI models. Businesses are generally experiencing suboptimal results and high costs. Embrace the current trend of smaller, specialized models -- often open source -- tuned to the needs of your organization. Our team has deployed custom GenAI models in high performance use cases and is seeing big cost savings vs general purpose models, much lower inference latency, and unparalleled results on company specific KPIs.


From AI basics to the latest techniques and use cases to implementing responsible AI frameworks, we've got you covered. Based on our extensive expertise this course will provide you with the know-how, frameworks, and strategies to take your business to the next level. You'll also get hands-on experience in a guided workshop with both tech and non-tech tracks. To future proof your knowledge we cover the latest advances, like RAG & fine-tuning. Custom models will enable you to transcend conventional standards, explore decentralized approaches, significantly increase productivity, and enhance your competitive edge.


The bottom line is that with domain specific datasets and your own algorithms, custom GenAI models are inherently faster, better and cheaper than general purpose models. Upon completing the course you'll understand how to design and build custom GenAI models tailored for greater efficiency, accuracy, safety, privacy, security, and compliance. A perfect fit with business objectives.

This course is for

01

Product and technical leaders looking to optimize the results from their GenAI models

02

C-Suite executives and VCs focused on maximizing upside from their GenAI investments

03

Visionary startup founders and creative innovators intent on building the next AI Unicorn

What you’ll get out of this course

Understand how to optimize the results and maximize the returns from GenAI

Produce better results that are fit for purpose at much lower cost than generic pre-trained models by leveraging custom models with your proprietary data.

Discover the best frameworks for designing custom GenAI models

Go beyond AI fundamentals by leveraging the best strategies and frameworks to craft custom GenAI models that are tailored to your business needs.

Explore how companies can use GenAI successfully for real use cases

Determine the best approaches for integrating GenAI custom models with your applications to maximize the business opportunity.

Know how to minimize risks and challenges in your custom GenAI models

Gain insights from tech policy experts on how to navigate the rapidly changing regulatory landscape and how to overcome inherent challenges in current GenAI models.

Get hands-on experience with the latest models and techniques

Investigate the most current tools and open source LLMs in a dedicated guided workshop session in either a no-code or coding environment

This course includes

5 interactive live sessions

Lifetime access to course materials

13 in-depth lessons

Direct access to instructor

4 projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Expand all modules
  • Week 1

    Jun 17—Jun 23

    Week dates are set to instructor's time zone

    Events

    • Jun

      17

      Session 1

      Mon, Jun 17, 11:00 PM - 1:00 AM UTC

    • Jun

      19

      Session 2

      Wed, Jun 19, 11:00 PM - 1:00 AM UTC

    Modules

    • AI Basics (Monday)

    • How are Companies Using AI? (Wednesday)

  • Week 2

    Jun 24—Jun 30

    Week dates are set to instructor's time zone

    Events

    • Jun

      24

      Session 3

      Mon, Jun 24, 11:00 PM - 1:00 AM UTC

    • Jun

      26

      Session 4

      Wed, Jun 26, 11:00 PM - 1:00 AM UTC

    Modules

    • What are the Risks & Challenges? (Monday)

    • Building Custom Models (Wednesday)

  • Week 3

    Jul 1

    Week dates are set to instructor's time zone

    Events

    • Jul

      1

      Session 5

      Mon, Jul 1, 11:00 PM - 1:00 AM UTC

  • Post-Course

    Modules

    • Hands-on Workshop (Monday)

5.0

(8 ratings)

What students are saying

Meet your expert instructors

Jorden Woods

Jorden Woods

Lead Instructor

  • Successful 3-time Silicon Valley serial entrepreneur and pioneer in advanced tech
  • Founding Partner, StarChain Ventures, Silicon Valley Advanced Tech Venture Studio and AI/web3 R&D Lab
  • Strong architecture & technical systems expertise with 11+ years in AI and 6+ years in web3
  • Tech advisor to Fortune 500: Apple, VMware, Verisign, HP, GE, and Cisco with $MM ROI
  • Author of Enterprise Blockchain Has Arrived, Amazon #1 Best Seller, predicted rise of web3 and AI in business
  • Extensive experience advising top companies, investors and startups in US & globally across GenAI, AI/ML, web3, and other advanced tech
  • Invited speaker at Stanford, Google, Berkeley, MIT, Draper + major AI & advanced tech conferences, events, podcasts
  • BS (Astrophysics) Caltech, MS (Physics) University of Washington

 

Radhika Iyengar

Radhika Iyengar

Lead Instructor

  • Top 100 Women of the Future, TEDx Speaker, Silicon Valley Woman of Influence, recognized female trailblazer in multiple books
  • Founding Partner, StarChain Ventures, Silicon Valley Advanced Tech Venture Studio and AI/web3 R&D Lab
  • Author of Enterprise Blockchain Has Arrived, Amazon #1 Best Seller, predicted rise of web3 and AI in business
  • 10+ years experience advising top companies, investors, and startups in US & globally in advanced tech including Big data predictive analytics, AI/ML, GenAI & blockchain
  • Keynote speaker at Google, Intel, Stanford, Harvard, MIT, UC Berkeley, Draper U, major CxO forums, AI & tech conferences + podcasts
  • Interviews w/ Forbes Japan, CNN International & Business/Tech Insider
  • Member California Gov Ops Blockchain Working Group advising State Legislature & Governor Newsom on the responsible use of web3
  • AB Bryn Mawr College, MBA Chapman University, Certified Network Engineer (CNE)
Shiva Kintali, PhD

Shiva Kintali, PhD

Lead Instructor

  • 20+ years of industry and academic experience as a computer scientist, AI researcher, engineering leader, R&D engineer, founder, investor & advisor
  • Founder/CEO True Dat, AI & Blockchain Research Lab
  • AI research topics include: LLMs, GenAI, multimodal models, diffusion models, GANs, deep learning, RNNs/CNNs, NLP, privacy-preserving federated ML
  • Blockchain research topics include: decentralized protocols, consensus algorithms, privacy technologies, scalability, interoperability, ZKPs, MPC and DKG
  • Lecturer at Princeton in computer science (2011-2015)
  • PhD (CS) Georgia Tech in machine learning, computational complexity, cryptography & algorithmic game theory
  • MS (CS) University of Southern California + USC Academic Achievement Award
  • B-Tech (CSE) IIT Kharagpur + IIT Young Alumni Achiever Award
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Course schedule

6 hours per week
  • Mondays & Wednesdays

    4 pm - 6 pm PST

    All sessions have a 2-hour duration & take place from 4 -6 pm PST.

  • First Day is June 21, 2024

    The course takes place during the second half of June and first week of July with a hands-on guided workshop session in week 3

  • Weekly projects

    2 hours per week

    Each class will have a homework project that you can complete in about 1 hour. The homework will give you hands on experience with each topic.

Learning is better with cohorts

Learning is better with cohorts

Active hands-on learning

This course builds on live workshops and hands-on projects

Interactive and project-based

You’ll be interacting with other learners through breakout rooms and project teams

Learn with a cohort of peers

Join a community of like-minded people who want to learn and grow alongside you

Frequently Asked Questions

What happens if I can’t make a live session?
I work full-time, what is the expected time commitment?
What’s the refund policy?
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