Designing Generative AI Applications

Hosted by Jeremy Kirshbaum

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622 students

What you'll learn

Case study of a generative AI project from sale to launch

We will share how we manage generative AI development end-to-end and the key decisions we make on the way.

Connect client needs to generative AI features

How to manage expectations, scope deliverables, and design requirements.

Lead generative AI teams

Address common challenges in leading genAI tool development such as prompt sharing, observability, and evaluation

Why this topic matters

Building production-ready generative AI applications requires a new and unique blend of technical understanding, project management and client communication skills. There isn’t any way to learn them in abstract — you have to actually do them to understand the real issues and solutions. Luckily, we can share this experience with you so you don’t have to learn things the hard way.

You'll learn from

Jeremy Kirshbaum

Founder of Handshake

Jeremy is the founder of AI consultancy Handshake, venture builder and strategist who has been working with clients to understand, plan and implement generative AI projects since 2019. He has built cutting-edge generative AI applications for Fortune 500 executive teams, governments, and NGOs. He shares what he learned in his Maven course Generative AI Masterclass.

Past Clients:

BBB's Give.org
Walmart
Institute For The Future
Deloitte
International Rescue Committee
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