Practical AI automation education
Build AI systems you can actually use, explain, and improve.
Learn to create AI chatbots, advanced workflows, reliable AI agents, and multi-agent automations—even without an advanced coding background. Across five practical sessions, you build a real project instead of only watching tutorials.
- Five guided, project-based sessions
- Real automation built during the course
- Online or guided live format
The curriculum is the same for both tracks. Students receive a reduced educational rate.
Course details
From your first chatbot to a complete multi-agent system.
Each session teaches the logic, demonstrates the process, and ends with a practical deliverable that becomes part of the learner’s final project.
01AI Automation Foundations and First ChatbotLLMs, prompting, automation logic, and a working chatbot.
Understand the difference between standard automation and AI automation, how modern language models interpret instructions, and how businesses use automation to remove repetitive work.
- Triggers, actions, inputs, outputs, and simple workflow structure.
- How LLMs respond and why prompt quality changes the result.
- Prompt structure using context, rules, examples, and output formats.
- Build and test a chatbot with controlled behavior.
02Advanced Workflow Logic and Complex AutomationNodes, data mapping, conditions, filters, and HTTP requests.
Move from basic actions to structured systems that make decisions and route data correctly through several execution paths.
- Switch, if/else, filters, edit fields, and HTTP request nodes.
- Inputs, outputs, expressions, data mapping, and execution paths.
- Workflow optimization for clarity, speed, and maintenance.
- Build a complex automation with multiple conditions and actions.
03AI Agents and Business Process LogicAgent prompts, tools, business rules, media, accessibility, and testing.
Translate a real business process into an AI agent that follows rules, asks for missing information, uses the correct tools, and produces structured results.
- Define role, task, rules, limits, memory, tools, fallback behavior, and output format.
- Connect agent decisions to switch, if/else, filters, and business rules.
- Map the real business process before building the automation.
- Handle text, audio, files, images, and accessible response formats.
- Test unclear requests, missing data, repeated questions, and failed tools.
04Error Handling and Project DebuggingValidation, fallbacks, retries, logs, and project repair.
Prevent common failures, locate the exact step that broke, and repair the project using a repeatable debugging process.
- Detect missing fields, failed requests, broken conditions, and incorrect mappings.
- Add validation, retry logic, fallback routes, and safe user messages.
- Read execution logs and isolate the real source of a failure.
- Debug and improve the project built during the course.
05Meta Automation and Multi-Agent SystemsSeveral agents and capabilities coordinated inside one system.
Apply the full course by coordinating specialized agents for research, communication, content creation, decisions, storage, and publishing.
- Assign different responsibilities to different AI agents.
- Coordinate research, writing, classification, media, notifications, and storage.
- Prevent conflicts between agents, tools, and workflow paths.
- Package and demonstrate the completed system professionally.
$300 for students · $500 for non-students
Choose a Calendly Time
Use the meeting to discuss the schedule, format, payment, prerequisites, and your project idea.
Featured case study
Ultimate Media Agent
A complete multi-agent operations system controlled from one Telegram conversation.
Problem
Email, files, calendars, contacts, research, media creation, and social publishing normally require repeated manual work across several disconnected tools.
Solution
A central AI agent receives text, audio, files, or media through Telegram, understands the task, and delegates it to the correct specialist agent.
Business value
Less tool switching, faster content production, centralized task control, automated communication, and a complete audit trail through workflow logs.
Telegram accepts text, audio, documents, images, or video.
The central agent identifies the goal, required information, and appropriate tools.
The task is routed to the correct specialist agents.
Conditions, logs, cleanup steps, and error paths verify the result.
The result is returned, saved, shared, scheduled, or published.
Reads, searches, labels, drafts, replies to, and sends Gmail messages.
Searches, uploads, renames, shares, and manages Drive files.
Creates and edits images, converts images to video, and generates videos.
Publishes approved content to connected social platforms.
Researches high-performing posts, formats, topics, and trends.
Finds and compares current information before content is produced.
Reads, creates, updates, and removes Google Calendar events.
Searches, creates, and updates contacts for communication and follow-up.
Technology used:n8nTelegramGmailGoogle DriveGoogle CalendarAI modelsMedia-generation toolsSocial APIs
Website projects
Websites designed to work, not just look good.
Browse the selected work below. Each preview loads only when requested, keeping this page fast while giving you a complete, interactive view of the website.
Certificate and community
Complete the course with proof and continued support.
Learners receive an e-certificate after completing the sessions and final project, followed by community access for questions, feedback, and new build ideas.
Certificate of Completion
Issued after completing the AI Automation Academy and final project.
Student Name
Community access
Continue improving after the course through:
- Project feedback
- Automation examples
- Prompt improvements
- New tools and build ideas
Frequently asked questions
Before you book.
Do I need coding experience?
No advanced coding background is required. Basic comfort using online tools is enough. The course explains workflow logic, data movement, and APIs step by step.
Is the course online or in person?
The Academy can be delivered online or as guided live sessions, depending on the agreed schedule and location.
How long is each session?
Each session is approximately 1–1.5 hours, with practical building and testing included.
What tools will I use?
The core workflow platform is n8n, combined with AI models such as ChatGPT or Claude, APIs, Telegram, Google tools, and other services depending on the project.
Will I build a real project?
Yes. Every session contributes to a working project, and the final session combines the learned skills into a complete automation or multi-agent system.
What is the difference between the student and non-student price?
The curriculum is identical. The $300 rate is an educational discount for eligible students; the standard non-student rate is $500.
Is an e-certificate included?
Yes. Learners receive an e-certificate after completing all sessions and the final project requirements.
What happens after the course?
Learners can continue through the community, where they can ask questions, share progress, receive project feedback, and explore new build ideas.