Курсы

Transforming domain expertise into scalable digital products using AI. Covers knowledge audit and packaging, course creation with AI, ebook and guide production, building AI-assisted consulting frameworks, creating templates and systems, pricing and positioning strategies, automated delivery systems, and building a product ecosystem from a single knowledge domain.

Creating scalable AI-powered products and services that generate recurring revenue. Covers productized service design, AI-powered SaaS concepts, building repeatable delivery frameworks, automating fulfillment, pricing models for AI products, customer onboarding automation, quality assurance at scale, and transitioning from custom work to standardized offerings.

Using AI to deliver consulting and agency services faster, better, and more profitably. Covers AI-enhanced research and analysis, automated report generation, client deliverable templates, proposal automation, project management with AI, quality assurance workflows, scaling service delivery without proportional headcount growth, and positioning as an AI-forward firm.

Building consistent, automated inbound lead generation pipelines using AI. Covers AI-powered content marketing, automated lead magnets, chatbot and conversational AI for lead capture, email sequence automation, social media lead generation, lead scoring with AI, CRM integration, analytics and optimization, and building compound lead generation systems that improve over time.

Building a complete AI-powered video production system for YouTube long-form and Shorts content. Covers AI scriptwriting, hook engineering, thumbnail design with AI, editing workflow optimization, repurposing long-form to shorts, batch production systems, SEO and discoverability, analytics-driven content planning, and building a sustainable publishing cadence.

Creating a content strategy that builds genuine authority and trust — not generic AI-generated spam. Covers authority positioning, thought leadership content frameworks, AI-assisted original research, building content moats, editorial quality control, audience-first content design, distribution strategies, measuring authority metrics, and building a sustainable content engine.

How to redesign a monolithic application framework using RabbitMQ as a universal message bus layer. Covers migration from tightly-coupled job queues to enterprise-grade AMQP messaging, standalone AI workers, platform-agnostic contract design, and multi-server deployment topologies.

Enterprise messaging with RabbitMQ for production systems

How to redesign a monolithic application framework using RabbitMQ as a universal message bus layer. Covers migration from tightly-coupled job queues to enterprise-grade AMQP messaging, standalone AI workers, platform-agnostic contract design, and multi-server deployment topologies.

How to integrate with the RebusAI platform for AI-powered content generation and publishing. Covers connecting external systems via the RabbitMQ message bus, submitting workflow requests, receiving generated content (courses, websites, ebooks, research), and publishing to target platforms like Odoo, Salesforce, SAP, and Shopify.

Building high-throughput event-driven systems by decoupling response processing from callback execution using RabbitMQ. Covers the response-writer/callback-processor pattern, TTL-based retry queues, prefetch tuning, and zero-sleep message handling.

Building reliable message-driven systems with RabbitMQ for backend engineers