How to Build AI Agents: A YouTube Curriculum

Glasp YouTube

Glasp YouTube

Jul 31, 2026

7 min read

Last updated: July 2026

This curriculum takes you from knowing nothing about AI agents to building working ones and shaping them into a business. It is for aspiring founders who want to build with AI but do not want to start by writing code, and by the end you will understand what an agent is, build one with no-code tools, and know how to turn it into an offer.

The path is organized as six questions you will naturally ask in order, from concept to fundamentals to building to business. Video-first learning works here because most of these tools are visual and hands-on, so watching someone set up a trigger, connect a model, and test it teaches faster than reading about it.

The steps in this curriculum are:

  1. What is an AI agent, and why now? (2 videos, 77 min)

  2. What do I need to know before I build? (2 videos, 78 min)

  3. How do I build my first agent without code? (2 videos, 254 min)

  4. How do I make an agent do real work? (2 videos, 143 min)

  5. How far can agents run on their own? (2 videos, 62 min)

  6. How do I turn agents into a business? (2 videos, 40 min)

Total: 12 videos, 654 minutes of watch time (about 11 hours), and 13.9M combined views.

The curriculum at a glance: steps, videos, and watch time

Step 1: What is an AI agent, and why now?

In short: An AI agent differs from a chat AI because it has autonomy, memory, and tools to plan and complete tasks on its own instead of only answering from training data. Agents are already reshaping coding and research by letting people delegate the execution and focus on higher-level goals.

What is an AI agent, and why now?

Start with the short framing of agentic AI as a shift from doing to directing, then sit with a longer conversation about where code agents are taking work. Together they set expectations before you touch any tool, so you build with a clear picture of what an agent actually is.

Step 2: What do I need to know before I build?

In short: Before building agents, master a few fundamentals: large language models, tokens, context windows, embeddings, and orchestration. Embeddings convert meaning into vectors so a system retrieves relevant content by intent rather than exact keywords, which is what lets an agent work with your own data.

What do I need to know before I build?

The fundamentals video walks through why an LLM cannot see your private documents and how embeddings and retrieval fix that. Pair it with a hands-on look at running a model privately, so the concepts of local models, RAG, and fine-tuning become concrete before you automate anything.

Step 3: How do I build my first agent without code?

In short: You can build your first AI agent with no code using n8n: set a trigger like a Telegram message, connect a model such as OpenAI or Anthropic, then add tools like Gmail and Google Calendar. Test each step as you go so the agent runs reliably.

How do I build my first agent without code?

The shorter walkthrough gets you an agent that reads email and manages a calendar in under an hour of watching. The full zero to hero course then grounds you in nodes, data types, and API keys, so your first build is not a one-off you cannot repeat.

Step 4: How do I make an agent do real work?

In short: A single AI agent plus no-code tools can act like a small team, creating images, writing posts, qualifying leads, and generating proposals. The value comes from connecting the agent to real business tools and workflows, not from the model alone.

How do I make an agent do real work?

The marketing-team build shows one agent handling images, posts, and articles through connected tools. The longer automations guide then covers business tasks like lead qualification and proposal generation, so you see how agents replace manual work you could actually charge for.

Step 5: How far can agents run on their own?

In short: Autonomous agents can run on a server, keep persistent memory, create their own skills, and carry out multi-step tasks with little human input. In one case a non-technical person used an AI agent to reach $8,500 in monthly revenue within 13 days, though results depend on the problem it is pointed at.

How far can agents run on their own?

One video installs a self-improving agent that builds its own skills and manages its own memory. The other is a grounded case study of a non-technical user pointing an agent at business opportunities, so you see both the capability and the honest limits.

Step 6: How do I turn agents into a business?

In short: AI agent development ranks as a top business opportunity for its high profitability and low competition, and solo founders can build large businesses by automating painful problems instead of hiring. Start by solving the problem manually, build a simple prototype, then scale with AI agents rather than headcount.

How do I turn agents into a business?

The solo-business video gives a clear method: solve the problem by hand, make a clickable prototype, then productize and scale with agents. The rankings video sets it in context by weighing which AI business models actually last, so you pick a direction with eyes open.

Frequently asked questions

Do I need to know how to code to build AI agents?

No, tools like n8n let you build agents visually by connecting a trigger, a model, and services without writing code.

What is the difference between a chatbot and an AI agent?

A chatbot answers from its training data, while an agent has autonomy, memory, and tools to plan and carry out tasks on its own.

What are embeddings and why do they matter for agents?

Embeddings turn text into vectors that capture meaning, so an agent can retrieve relevant information by intent rather than by exact keywords.

Can AI agents actually make money for a business?

Yes, agents can qualify leads, generate proposals, and automate workflows, and AI agent development is ranked a top opportunity for profitability.

How long does this curriculum take to finish?

It is about eleven hours of video across six steps, which you can spread over a few weeks while building alongside each section.

How to work through this curriculum

Work through the six steps in order and build as you watch: after the concept and fundamentals steps, open n8n and rebuild each agent yourself rather than only watching. Once you finish, pick one painful problem you understand well, build a small agent that solves it, and put it in front of a real user, because the fastest way to learn what to build next is to ship something that someone actually needs.

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