OpenAI Agent Builder Course - AI & No-Code Automation

The trainer introduces himself and tells you what you will learn in the course. 

What is AI actually and what is it good for? From the history (Dartmouth 1956) to the basics (Machine Learning, neural networks), you will learn how this smart software learns and makes decisions. Including practical examples for your daily life.

Short, concise explanations of the most important AI terms! What is a prompt (your order to the AI), what is a model (the smart engine behind it), and what is Generative AI (the creative mind)? At the end, there's a cool live demo in ChatGPT and Midjourney.

Automation is not a luxury, but a MUST! Why? Because the working world is becoming faster and manual routine tasks are simply time wasters. Learn how to gain more time for creativity and leisure through automation.

It's about the essentials: You will learn the difference between the old school (classic automation = rigid checklist) and the new school (AI automation = the thinking assistant). The combination is the absolute power step for efficient and smart processes.

Immerse yourself in the OpenAI Agent Builder, the centerpiece for creating your own smart AI assistants. Here you will learn how to click together visual workflows (like a digital toolbox) without any coding knowledge to answer questions, write texts, and automate small tasks. Absolutely exciting, because logic, tools, and data come together!

The hunt for the Agent Builder! You will learn how to quickly find OpenAI's platform on Google. A little tip: There is a direct URL, but you can also reach your goal with a simple search. This way, you save yourself the long search and can immediately start building your digital assistant.

Check the Agent Builder completely! This video shows you the entire interface, from workflows and templates to the core elements on the left in the menu. This way, you know exactly where the start and end are and which tools the Agent Builder provides for your first smart projects.

Now it gets elemental! Here you can see the most important building blocks in the Builder: Start, My Agent (your smart core) and Note (for reminders, so you don't lose track in complex workflows). Additionally, there's a first look at the agent settings – that's where the true power lies!

This is the toolbox for the super-smart agent! You will get to know the most important tools: File Search (the data detective for your own files), Guardrails (the digital police for data protection and malicious requests like jailbreaks), and MCP (Model Context Protocol, the outside world bridge for all external data sources like Gmail or Shopify). This is the foundation for your agents to work really safely and smartly!

Logic is the boss! In this video, you will learn how to make decisions with If/Else (if this, then that) and While (as long as this is true) for your agent. Plus: User Approval ensures that only controlled information is released into the wild.

Data is not just data! This is about Transform and Set State, the tools to convert data (e.g., shortening long results) and store it temporarily (cache). A must to ensure your agent is perfectly prepared with information for the next step.

Finally, the first deployment! You can see how a personal FAQ agent is built that accesses your own documents and answers questions - all easily with guardrails and file search. A great example of how you can immediately improve workflows smartly.

Email Assistant - Your second use case. No more manual emails! We are building a smart agent that classifies incoming customer inquiries and then automatically generates appropriate text responses. This is the essence, because you can not only save time but also ensure that the right answer always goes out quickly.

OpenAI Agent Templates at a glance. Here we will look at which ready-made playgrounds OpenAI already offers you in the Agent Builder. From Data Enrichment to the Internal Knowledge Assistant – you will see what brilliant templates are available and how you can use them directly to start your own workflow with little effort.

Comparison of automation tools. This intro gives you an overview of the giants of automation: OpenAI Agent Builder, Zapier, and n8n. It explains why the combination of classic workflows and AI agents is the future – and who this power combination is particularly relevant for.

Discover how the classic Zapier works with its Zaps (If A, then B) and now becomes super smart with AI features. We will look at the pricing models so that you know what your workflow costs.

Get to know n8n: the flexible open-source platform for anyone who wants full control over their workflows. We will showcase the main features and the advantages over cloud solutions, and provide you with cool tips & best practices along the way.

Here you can see how to build mega-complex workflows with Make (the visual automation tool). It demonstrates how to connect Google Drive monitoring, AI-generated content (OpenAI), and social media posts (LinkedIn, Facebook) in a chain. It's like dominoes for your business processes, but way cooler!

A glance at Google's new weapon: Opal. This is about visual AI apps that you can create, share, and edit using natural language (completely without coding stress). Absolutely the next level for your business logic and app development.

Now everything comes together! You will learn how to turn your own crazy ideas into tangible automation projects. There is a roadmap and the three key essentials for successful AI project management. This is how ideas become actions!

Your AI superhero training ends here! A celebratory look back at your acquired AI and automation superpowers. You can see what cool concepts you now have – from prompts to workflows – and get a small glimpse of how the AI world is evolving.

This video gives you tips for your AI mastery journey after the course. It shows you which resources (books, newsletters, communities) will keep you engaged and how to best put your new skills into practice – so that the fun of automating never ends!

The Homework Agent. A fun bonus project that shows how to build a simple homework agent using the learned modules. Ideal for consolidating knowledge and impressing the offspring (or the boss) right away!

The whisper tips for your AI. This video explains that a good prompt is like a good gardener: Good tools (clear instructions) and the right soil (clearly defined task) are the key. You will learn the five pillars so that the AI delivers not just anything, but exactly what you want!

We'll go through the checklist: role, context, task, format, and examples. Plus: There are cool additional tips like multimodal work and the prompt library, so you can go from amateur whisperer to AI conductor!

Five typical mistakes when prompting that can plunge your results into the abyss – from too vague instructions to contradictory commands ("Make it short, but detailed!"). You will learn how to elegantly avoid these pitfalls and get better, targeted responses.

Here we go with context management (so the AI knows what it's talking about) and prompt chaining (feeding multiple prompts in succession). Another trick: Use dynamic templates and role-play/personas to get the AI in the right mood!