This comprehensive video course teaches viewers how to build and monetize AI agents, even without coding experience. The instructor, Liam Ottley, shares his two-year journey of self-learning and building multiple AI businesses generating over $5 million in revenue. The course is divided into three chapters: foundational understanding of AI agents, four end-to-end AI agent tutorials, and a monetization blueprint.
What are AI Agents? AI agents are digital workers that understand instructions and take actions to complete tasks, acting like digital employees. They are distinct from basic chatbots due to their ability to perform actions beyond simple responses.
Anatomy of an AI Agent: AI agents comprise five key parts: a Large Language Model (LLM) as the "brain," prompting as instructions, memory to retain context, external knowledge (optional), and tools for taking actions (APIs). The primary focus for builders is on prompting, knowledge, and tools.
Three Ingredients of AI Agent Building: The core components for planning and building AI agents are knowledge (external data), tools (actions), and prompting (the glue tying everything together).
Types of AI Agents: AI agents are categorized into conversational (direct human interaction) and automated (triggered by events or schedules). The video demonstrates building both types.
Monetizing AI Agent Skills: The instructor emphasizes that the primary opportunity lies in helping businesses understand and implement AI, not in building revolutionary AI startups. Three key service areas are identified: education, consulting, and implementation.
Building AI Agents with No-Code Tools: The video provides four practical, no-code tutorials demonstrating AI agent creation using different platforms like Relevance AI, n8n, Voiceflow, and Agentive. These tutorials cover various use cases, including sales copilots, lead qualification, and customer support.
Extending Knowledge Gap: The video stresses the importance of building a knowledge gap between oneself and clients to increase value and earning potential. This is achieved through continuous learning and experience building AI agents.
Acquiring Clients: Two primary client acquisition strategies are presented: leveraging warm connections (friends, family, acquaintances) and building a content flywheel by sharing knowledge and tutorials within a relevant community.
