Learning Journeys

Introduction to Claude, prompt engineering, and automating your first workflow.

AI strategy, governance, team enablement, and organizational transformation.

Contract review, compliance monitoring, and regulatory analysis with AI.

AI-powered forecasting, expense categorization, and financial reporting.

Campaign creative, brand-as-code, content production, and AI-powered marketing workflows.

AI-assisted recruiting, onboarding, performance cycles, and employee experience.

Agentic ops system: sprint coordination, OKR tracking, cross-squad reporting, and process automation with Claude Code.

AI-assisted moderation, support triage, community safety, and CRM workflows.

Content production, community engagement, multi-platform publishing, and AI-powered creative workflows.

AI-powered ad optimization, campaign analysis, bid management, and monetization workflows.

Dual-user CRM automation: onboarding flows, engagement scoring, re-engagement triggers for marketplace platforms.

Context engineering, AI-assisted product management, and specification-driven development.

Context engineering for backend systems, API documentation, and AI-assisted server-side development.

Context engineering for UI components, design systems, and AI-assisted frontend development.

Cross-layer context engineering, API contracts, and AI-assisted full-stack workflows.

Context hierarchies for multi-agent systems, evaluation frameworks, and agentic architecture.

Context engineering for test strategies, AI-assisted testing, and quality automation.

Brand-as-code, design token automation, and AI-powered creative workflows.

Interaction design, wireframes, user flows, prototyping, and AI-assisted UX research.

Context engineering for data pipelines, metrics, dashboards, and AI-assisted analysis workflows.

Context engineering for ML experiments, training scripts, and AI-assisted model development.

Spec-driven development: from idea to deployed prototype with real user testing in 2 weeks.