Building with AI Agents online course

Learn to build software by directing AI agents

Building with AI Agents is a beginner-level online course for professionals who want to turn an idea into working software. You will direct AI coding agents in plain English while learning how to plan a build, give useful context, check the output and take an application live.

Across five sprints, you will build full-stack web applications, connect databases and user authentication, add AI features, create a mobile app and set up a software product with payments. You will finish by designing, building and presenting an AI-powered application of your own.

The course is designed for professionals who want a reliable process for building and shipping software with AI coding agents. Prior coding experience is not required.

You decide what to build. The agent helps execute it.

AI coding agents can inspect a project, change files, run commands and tests, and work through a sequence of development tasks. The person directing the agent still makes the product decisions, supplies context and checks whether the result works as intended.

In June 2026, Anthropic published research based on roughly 400,000 Claude Code sessions ↗ recorded between October 2025 and April 2026. In a typical session, people made most of the planning decisions while Claude made most of the execution decisions. The research also found that people across major occupations completed coding tasks at close to the average success rate of software engineers, while relevant domain expertise improved the likelihood of success.

The 2025 DORA State of AI-assisted Software Development report ↗ reached a related conclusion for software teams: AI tends to amplify the strengths and weaknesses of the system around it. Better results depend on clear workflows, sound development practices and appropriate technical safeguards, not access to an AI tool alone.

This course teaches the workflow around the agent. You will learn how to plan, provide context, test, debug, review and deploy, so a quick prototype can become software you can explain and improve.

No prior coding experience is required. Claude Code is the main AI coding agent used throughout the programme.

You will work with real software projects, codebases and development tools rather than a closed visual no-code platform. AI coding agents handle most of the code implementation while you direct the work and review the results.

The course introduces technical concepts when you need them. You should be comfortable learning digital tools, checking results and working through problems when an application does not behave as expected.

AI coding agents can help you create internal tools, customer-facing web applications, mobile apps, document assistants and subscription products. You direct the product decisions and check whether the finished application works as intended.

See how our CEO rebuilt an internal tool in seven days

Turing College CEO Lukas Kaminskis set himself seven days to build an internal alternative to Notion for our 35-person team.

Using Claude Code, Lovable and Supabase, he built the application in around 30 hours. It migrated 660 pages, more than 10,000 content blocks and 300 images from Notion. Two-thirds of the team moved to the new tool on its first day, allowing us to cancel a Notion subscription costing $5,040 per year.

The project also showed where human judgement still matters. Lukas had to define the requirements, choose the right agent for each task, test the migration, fix interface problems and check that permissions and backups worked properly.

Lukas had previous technical experience, so this is an example of the tools and process in practice rather than a typical beginner timeline.

Watch the seven-day build ↗

It usually takes 3.5 to 4.5 months and is designed to fit around full-time work. You should plan for 12 focused learning hours each week.

The Germany-funded course runs for 3 months on a fixed schedule of 30 hours per week. It should be treated as full-time study and will not fit around a full-time job.

You will receive one Turing College certificate for Building with AI Agents after completing the required core programme. The global certificate records 200 hours. The Germany-funded certificate records 520 hours. The certificate lists the programme parts you have completed when it is issued. The global capstone is not required for the core certificate.

We would rather you choose the right programme than enrol in the wrong one.

This programme is for you if:

• ✅ You want to learn how to turn ideas, products or manual processes into working software.
• ✅ You want to build full-stack web applications, mobile apps, AI assistants or SaaS products by directing AI coding agents.
• ✅ You do not have a coding background, but you are comfortable learning digital tools, checking results and solving problems when an application does not work as expected.
• ✅ You want a repeatable process for planning, building, testing and deploying software, rather than relying on trial-and-error prompting.
• ✅ You can commit around 12 focused hours per week for 3.5 to 4.5 months.
• ✅ You live in Germany and can study for 30 hours per week over 13 weeks through an approved funded route.

This programme is not for you if:

• ❌ You mainly want to use AI for analysis, content and workplace automation without building software. AI for Business is a better fit.
• ❌ You already have at least one year of Python or JavaScript experience and want to specialise in LangChain, RAG and multi-agent systems. AI Engineering goes deeper into building LLM applications in code.
• ❌ You want to train machine-learning models or study statistics and model theory. Data Science and AI is designed for that path.
• ❌ You want a passive, video-only course. This course requires you to build projects, meet deadlines and respond to feedback from Senior Team Leads.
• ❌ You need a university-accredited degree. This is a professional course that awards a Turing College certificate.
• ❌ You expect an AI agent to produce reliable software without human review. You will need to test its work, manage access and make the final decisions.

The main difference is what you want to create and how much coding experience you already have. Building with AI Agents teaches you to direct coding agents to create software. AI Engineering teaches experienced programmers to build LLM applications in code. AI for Business focuses on using AI and automation.