YouTube Automation + Agentic AI

Week-by-Week Curriculum

• Week 1: Foundations, Prompting & Niche Validation

  • Class 1: Prompt Engineering for YouTube Automation – Constructing structured, context-rich prompts specifically tuned for research, outlining, and content automation tasks.

  • Class 2: Niche Research — Types, Sub-Niches & Validation – Evaluating market saturation, RPM-aware niche selection, and validating channel viability before producing content.

• Week 2: Ideation, Formats & Engaging Scripting

  • Class 1: Templates, Formats & Topic Research – Building a repeatable topic research system, competitor analysis, identifying outlier videos, and generating multiple angles from one winning topic.

  • Class 2: Scripting — Core Principles – Scripting for high retention; differentiating between bland, generic AI text and compelling, narrative-driven YouTube scripts.

• Week 3: AI-Assisted Editing & Visual Styles

  • Class 1: Editing Fundamentals (AI-Assisted Workflow) – Building an end-to-end assembly line: AI voice-over integration, b-roll/visual asset sourcing, and automated editing workflows.

  • Class 2: Templates, Formats & Editing Styles by Niche – Tailoring pacing, graphics, overlays, and visual templates to specific documentary, educational, or entertainment sub-niches.

• Week 4: Packaging & Search Optimization

  • Class 1: Thumbnail Designing – Viewer psychology, visual hierarchy, and engineering the combined title-thumbnail click-decision system.

  • Class 2: SEO Methods – High-intent keyword research, automated metadata generation (titles, descriptions, tags, and chapter markers), and algorithmic discoverability.

• Week 5: Growth Diagnostics, A/B Testing & Scaling

  • Class 1: A/B Testing & Impression Testing – Running diagnostic feedback frameworks; isolating whether issues stem from the topic, title, thumbnail, or retention curve.

  • Class 2: Multi-Channel Management & AdSense – Safe operational hygiene for running multiple channels, AdSense setup, tracking KPIs beyond views, and team outsourcing.

• Week 6: Policy Compliance, Global Reach & Capstone

  • Class 1: Policy Violations & Multi-Language Niches – Mitigating platform risk, avoiding the "AI slop" penalty, copyright/IP safety, and tapping into global markets using AI dubbing and translation.

  • Class 2: Agentic AI's Role in YouTube Automation (Capstone) – Designing and presenting an orchestrated multi-agent AI system that autonomously handles the full pipeline from ideation to scheduling.

• Basic computer literacy and access to a reliable internet connection.

• Familiarity with YouTube's core platform features (watching videos, studio navigation, channel creation).

• No prior coding experience or advanced video editing background required; workflows leverage AI tools and no-code agentic systems.

• Judge Niche Viability: Confidently validate any niche, sub-niche, and monetization potential through structured data-driven research alone.

• Dissect Outlier Trends: Identify strategic competitor patterns and reverse-engineer outlier videos into original content angles without copying.

• Write Engaging YouTube Scripts: Produce retention-focused scripts that break away from detectable, low-quality AI formulas.

• Engineer Click Decisions: Design cohesive title-and-thumbnail systems that maximize CTR and viewer intent.

• Assemble an AI Production Line: Set up a rapid workflow chaining scripts, AI voice-overs, visual b-roll sourcing, and edits.

• Diagnose Channel Analytics: Read audience retention, CTR, and watch time to pinpoint exact channel bottlenecks.

• Protect & Scale Channels: Safely configure AdSense, avoid policy violations or duplicate content penalties, and scale via AI dubbing and team workflows.

• Build an Autonomous Multi-Agent System: Orchestrate an end-to-end agentic AI pipeline to automate research, packaging, and publishing.