Designing Generative AI Applications
Hosted by Jeremy Kirshbaum
Go deeper with a course
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:
