Applied GenAI Mastery Cohort

You’ll grasp how diffusion models work under the hood and set up SDXL and ComfyUI to create your first practical image‑generation workflows.

You’ll learn guided generation using ControlNet and IP adapters, and train custom Flux LoRA models to achieve brand‑consistent visuals.

You’ll work with leading video models and advanced ComfyUI techniques (inpainting, outpainting, video ControlNets) to produce precise, production‑ready video content.

You’ll build automated creative pipelines that transform a single logo or brand asset into product shots, ad creatives, and UGC‑style visual campaigns.

You’ll apply filmmaking principles and narrative control to design and generate UGC‑style ad content at scale using AI video and persona tools.

You’ll create consistent AI personas and avatars, animate them with lip‑sync, and clone voices so you can run multi‑video campaigns around a single AI character.

You’ll ship a generative media project that combines image, video, branding, and persona workflows into a real asset or campaign you can show to clients or employers.

You’ll deconstruct ChatGPT‑style interfaces and build your first AI UIs—either with Python (code track) or modern no‑code tools (no‑code track).

You’ll understand APIs from first principles and connect them to your apps, building or orchestrating backend logic that powers your AI features.

You’ll model domains with ER diagrams and implement scalable database schemas, enabling your AI apps to store, retrieve, and organise structured data correctly.

You’ll use AI coding assistants and modern tools to architect and build a deployment‑ready MVP in a short, time‑boxed build window.

You’ll work in teams to execute a project idea end‑to‑end, practising fast iteration, collaboration, and decision‑making under real deadlines.

You’ll learn how transformers and LLMs operate, design precise prompt strategies, and deploy a basic chatbot powered by open‑source models.

You’ll connect LLMs to external tools and services using function/tool‑calling patterns and context protocols, so your apps can perform actions, not just converse.