Shop · AI & Automation
AI & Automation
Every AI & Automation offer on Skill Stack Suite, grouped the same way as the menu. Pick a skill and stack it onto what you already know.
Get 10x more from AI tools in 2.5 hours.
Go beyond theory — build real machine learning models and deploy them into production using Python, scikit-learn, and cloud ML platforms.
Stand up an AI governance program that survives an audit — policy, inventory, risk tiering, controls and reporting.
AI Foundations
Get 10x more from AI tools in 2.5 hours.
Build 5 real AI automations in 2.5 hours.
Master the art and science of working with LLMs from prompt design and fine-tuning to building production AI applications with the OpenAI…
Audit your task stack, pick your three best automation wins, and ship a first working workflow — no code required.
A practical guide to how retailers use AI across the ecommerce journey and how to adopt it responsibly.
AI Engineering
Go beyond theory — build real machine learning models and deploy them into production using Python, scikit-learn, and cloud ML platforms.
Build the infrastructure and workflows to reliably train, deploy, monitor, and iterate on machine learning models at scale.
Build and deploy deep learning models for image classification, object detection, and visual AI applications using PyTorch and TensorFlow.
Design, build and evaluate retrieval-augmented generation systems that answer questions from your own documents reliably.
Build durable, stateful agent workflows in LangGraph — state, edges, tools, checkpointing and human-in-the-loop.
Design, route and run multi-agent systems that stay reliable under real workloads.
Design and build AI agents that plan, reason, and take actions autonomously from single-task bots to multi-agent systems that orchestrate…
AI Operations & Governance
Stand up an AI governance program that survives an audit — policy, inventory, risk tiering, controls and reporting.
Turn responsible AI principles into engineering requirements, tests and operating practice.
Manage prompts like production assets — versioned, tested, reviewed and monitored — across a team or product.
Plan and integrate AI into real business workflows with clear inputs, outputs, review steps and measures of success.
Judge whether AI outputs are good enough to use, with clear criteria, test sets and review methods.
Automation
Find the manual work worth automating, design the workflow, and ship it without breaking the process underneath.
Build connected systems across the tools a business already pays for, without writing production code.
Move data on a schedule, reliably: extraction, loading, transformation, scheduling, testing and monitoring.
A seven-section, scored checklist for finding the manual work worth automating, designing for the exceptions and measuring the hours you actually save.