AI Foundations
Understand AI, prompting, verification, privacy, and practical use cases.
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Start with AI fundamentals, then move into business, automation, marketing, e-commerce, and contractor-specific workflows.
Understand AI, prompting, verification, privacy, and practical use cases.
From idea and offer to website, payments, customer flow, and operations.
Design systems for lead capture, follow-up, content, support, and reporting.
Validate products, write listings, create images, and build customer journeys.
Create a brand message, content engine, campaigns, lead magnets, and follow-up.
Improve estimates, proposals, photos, reviews, scheduling, and customer follow-up.
Map your current strengths, identify automatable work, and build higher-value human + AI workflows.
Prepare responsibly for credit, loans, grants, and lender conversations without hype or guarantees.
Plan, deploy, patch, maintain and troubleshoot Windows infrastructure with repeatable operations and lifecycle thinking.
Build a RHEL server, apply security baselines, automate configuration, patch it, monitor it, then rebuild it from code.
Learn model sizing, CPU/GPU/RAM/VRAM, Linux inference, APIs, TLS, monitoring, RAG and private or disconnected deployment patterns.
Choose cloud resources, automate them with IaC, build CI/CD, monitor cost and reliability, patch safely and tear environments down cleanly.
Turn an idea into assumptions, unit economics, break-even scenarios, downside limits and a low-cost experiment before risking major capital.
Explore wallets, dApps, smart-contract triggers and agent-to-agent transactions using simulations, budgets, approvals, audit trails and circuit breakers.