Nikolay Sekachev Agentic AI: Content Generation and SMM
A full-stack content automation course: from LLM and agent workflows to visual generation, voice, and scalable social media production.
Practical program (120 academic hours) 6 weeks, blended format (offline + online + independent work) SMM teams, content producers, marketing leads, founders, and creative technologists
Course Positioning
This course builds a production mindset for content teams.
You learn to design repeatable AI pipelines that turn strategy into high-volume, quality content output.
Learning Outcomes
- Build an AI-native content operating model.
- Structure brand knowledge for consistent multi-channel output.
- Automate content planning, drafting, adaptation, and packaging.
- Produce multimodal assets: text, image, voice, and video.
- Scale delivery while keeping editorial and business control.
Module Structure
Module 1. AI Foundations and Model Ecosystem
- Practical understanding of modern AI models.
- Model capabilities across text, image, audio, and video.
- Cost and speed trade-offs for content production.
Module 2. LLM Mechanics, API, and Prompting
- API-first approach to controlled content generation.
- JSON formatting and reusable prompt structures.
- Reliability patterns for campaign and editorial tasks.
Module 3. Agent Systems and Orchestration
- Agent workflows for planning, writing, and adaptation.
- Tool integration and context management.
- Human review loops for quality and brand safety.
Module 4. Architecture for Content Systems
- Frontend/backend approach for content tools.
- Integrations with external APIs and distribution channels.
- Designing content MVP systems for team use.
Module 5. Deployment and DevOps
- Core infrastructure for running content automation reliably.
- Domain, HTTPS, reverse proxy, and service management.
- Deployment patterns for small content products.
Module 6. Visual AI and Image Generation
- Midjourney, FLUX, diffusion basics, and style control.
- Character consistency and visual identity workflows.
- OCR and visual understanding for source extraction.
Module 7. Audio, Voice, and Music
- Speech-to-text for transcription workflows.
- Text-to-speech for voice content production.
- Music and audio layers for short-form video formats.
Module 8. Content Architecture
- Markdown-centric knowledge system for AI agents.
- Folder taxonomy, metadata, and planning structure.
- Brand strategy, tone-of-voice, and reusable templates.
Module 9. Video and Social Automation
- Automated video pipeline with Remotion.
- Asset generation and assembly workflows.
- Batch production for social platforms at scale.
Final Project
Each participant builds and presents a content automation MVP:
- strategy-to-content workflow,
- working pipeline and templates,
- production-ready output for real channels.