GEN AI Build Masterclass

The greatest challenge in AI right now isn't access to models—it's orchestration and product execution. How do you choose between GPT-4, Gemini Ultra, or an open-source model? How do you move beyond static chat interfaces to complex, delightful product workflows?

Led by deployment and integration expert Jason Wade, this 24-hour practical masterclass takes a model-agnostic, deployment-first approach to building AI products. This course is designed for builders who need to ship robust, reliable AI features in enterprise and startup environments.

We move past high-level strategy and deep backend architecture to focus on the application layer: advanced prompting techniques, multi-model evaluation frameworks, context management, and practical UI/UX design patterns that users love. This course provides the tactical blueprint for taking an AI concept from prototype to a scalable, effective production release.

What You Will Learn:

• Multi-Model Evaluation & Selection: Building frameworks to choose the right open-source or proprietary model for specific use cases based on speed, cost, and reliability.

• Advanced Prompt Engineering & Design: Mastering dynamic context, chain-of-thought orchestration, and few-shot learning as core engineering principles.

• Context & Memory Management: Efficiently handling state and historical context in persistent AI applications without ballooning costs.

• The AI UX Playbook: Designing delightful user experiences that gracefully handle AI limitations, errors, and long-running tasks.

Who This Is For:

• AI Product Managers and Product Owners tasked with shipping AI features.

• Application and Backend Developers building user-facing AI tools.

• CTOs and Tech Leads managing AI implementation teams.