AI Courses Hub
Choose the right AI path for your goals — automate your work, build business systems without coding, or become an AI engineer.
The quick answer
Choose AI Business Automation Architect for a no-code career path; AI Agent Engineer for Python and production deployment; Deep Learning and AI Engineering for ML models; or AI Agents for Work for a short practical introduction.
Choose by outcome
| Course | Best for | Coding | Core message | CTA |
|---|---|---|---|---|
| AI Business Automation Architect | Career in business AI automation | No | 4-week Virtual AI Department portfolio | Get the syllabus → |
| AI Agent Engineer | Technical agent engineering | Yes | Python, agent frameworks and deployment | Explore technical path → |
| Deep Learning & AI Engineering | ML and model engineering | Yes | Models, data and deep learning | Explore ML path → |
| AI Agents for Work | Automating current work | No | Short practical introduction | View short course → |
Featured no-code career path
Build a company’s Virtual AI Department in four weeks: connected AI agents for leads, support, monitoring, reports and proposals. No coding required. Main stack: n8n, Airtable, Supabase, Telegram and RAG.
Use AI at workAutomate your own routine and save hours every week.
Build a personal AI stack around the work you already do, then create an agent that handles real tasks across your everyday tools.
Entrepreneurs, marketers, product managers, creators and office professionals
You leave with: A personal AI system and a working automation.
View short courseBuild no-code systemsDesign a connected, no-code AI department for a business.
Go beyond a single workflow. Learn to connect agents, knowledge bases, approvals and business data into reliable end-to-end operations.
Career changers, operations professionals, founders and automation consultants
You leave with: A portfolio-ready Virtual AI Department.
Get the syllabus
Engineer AI agentsBuild and deploy production-ready enterprise agents.
Code agent architectures with memory, RAG and tool use, then deploy, monitor and secure them in a real production environment.
Developers and technical learners moving into AI agent engineering
You leave with: Two deployed enterprise AI agents.
Explore technical path
Master ML & AIUnderstand, train and deploy the models behind modern AI.
Build strong foundations in data, classical machine learning, deep learning and LLM systems with individual guidance from an AI researcher.
Aspiring ML engineers, AI engineers and data scientists
You leave with: An ML/AI engineering portfolio and final project.
Explore ML pathSide-by-side
Compare the audience, coding level, tools and outcomes for each course.
| Course | Best for | Coding | Duration | Main tools | Portfolio outcome | Career outcome | CTA |
|---|---|---|---|---|---|---|---|
| Work automation with AI Agents | Entrepreneurs, marketers, product managers, creators and office professionals | None | 8 hours | Claude, n8n, Notion, Google tools | A personal AI system and a working automation | Use AI automation in your current role | View short course → |
| AI Business Automation Architect | Career changers, operations professionals, founders and automation consultants | No-code | 4 weeks / 160 hours | n8n, Airtable, Supabase, RAG | A portfolio-ready Virtual AI Department | Business AI automation specialist or consultant | Get the syllabus → |
| AI Agent Engineer Bootcamp | Developers and technical learners moving into AI agent engineering | Python or programming basics | 4 weeks / 160 hours | Python, LangGraph, PostgreSQL, AWS | Two deployed enterprise AI agents | AI agent engineer | Explore technical path → |
| Machine Learning & AI Engineering Bootcamp | Aspiring ML engineers, AI engineers and data scientists | Python preparation included | 13 weeks | Python, TensorFlow, Hugging Face, LangChain | An ML/AI engineering portfolio and final project | ML engineer, AI engineer or data scientist | Explore ML path → |
Still deciding?
Think about the layer of AI you want to work on—from using existing tools to engineering the intelligence underneath them.
Use existing AI tools and agents to remove repetitive tasks from your own day.
Connect no-code workflows, data and agents across whole departments.
Write the Python, architecture and infrastructure behind production AI agents.
Learn machine learning, deep learning and modern LLM engineering as one broad discipline.
Course questions
Quick answers to help you choose the right level, tools and learning format.
Barcelona Code School offers four practical AI paths: Work Automation with AI Agents, AI Business Automation Architect, AI Agent Engineer Bootcamp, and Machine Learning and AI Engineering Bootcamp. They range from an eight-hour introduction to career-focused engineering programmes.
AI Business Automation Architect is the most complete no-code path. In four weeks you build a portfolio-ready Virtual AI Department that connects agents, company data, approvals, monitoring, reports and proposals.
AI Business Automation Architect uses n8n as its main automation platform, alongside Airtable, Supabase, Telegram and RAG. AI Agents for Work also introduces n8n in a shorter, practical format.
AI Business Automation Architect is a no-code course focused on designing connected business systems. AI Agent Engineer is a technical path for learners who want to use Python, agent frameworks, databases and cloud deployment to build production agents.
AI Business Automation Architect combines a four-week Virtual AI Department portfolio with career support for roles in automation and AI implementation. The Agent Engineer and Deep Learning paths also produce technical portfolio projects for their respective career tracks.
Yes. The business automation, agent engineering and AI Agents for Work courses can be joined remotely in live sessions, and the Deep Learning and AI Engineering path is online.
AI Agents for Work is the shortest beginner-friendly introduction. AI Business Automation Architect is also suitable for career changers and confident computer users because no coding is required. The technical Agent Engineer and Deep Learning paths require more programming preparation.
Yes. All four AI courses are taught in English. The live courses can be attended on campus in Barcelona or remotely, while the Machine Learning and AI Engineering Bootcamp is delivered online.
Work Automation with AI Agents costs 490€. AI Business Automation Architect and AI Agent Engineer cost 3,600€, with a 2,900€ early-bird price. Machine Learning and AI Engineering costs 3,950€.
Your next AI career
Get the AI Architect syllabus
Talk it through
Tell us what you do now and where you want AI to take you. We’ll help you identify the course with the right depth, pace and prerequisites.
If you want to have a discovery call to see which course is better for you and your goals please feel free to book a call or meeting on campus. We'd be happy to help you!
Or just call us: +34 936 639 807
