Creating an assistant capable of sorting requests, preparing replies or updating a tracking table is no longer reserved for developers. This is the focus of ITIC Paris with its new no-code AI agent training. The course lasts five hours and focuses on the essentials: understanding how an agent works, using visual tools and completing two functional automations.
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The course arrives as artificial intelligence moves beyond demonstrations and into everyday tasks. Public debate also highlights the need to understand, frame and use these tools carefully. In a recent speech about the risks of AI in democratic debate, Claude Malhuret stressed the importance of not simply enduring technological change. ITIC Paris takes a practical approach to the same underlying issue: understanding what an AI system does before entrusting it with an action.
A short course from an established digital school
ITIC Paris is a private higher-education institution located in Paris’s 20th arrondissement. Its TechSchool offers programmes ranging from post-secondary studies to bac+5 in development, data, networking, cybersecurity and IT project management. The institution is also listed in the Onisep directory as a private institution outside the state contract system. Its programmes are therefore paid, except when covered through an apprenticeship arrangement where applicable.
The new course is a short e-learning programme, not a long academic curriculum. ITIC targets independent workers, freelancers, consultants, content creators and people retraining for careers in AI or automation. The entry level is accessible: participants need to be comfortable with a computer and digital tools, but no programming skills are required.
This positioning addresses a genuine gap. Many professionals know how to use a chatbot, but far fewer know how to connect a form, an instruction, a database and an action in a reliable sequence. That is where practical work on AI agents begins.
Three modules and two practical agents
The official programme divides the five hours into three modules. The first, advertised as lasting one and a half hours, explains the difference between a simple chatbot and an agent capable of executing a workflow. It covers use cases in lead generation, customer support, content creation, reporting and data analysis. An agent must receive a trigger, apply rules, use the right data and know when to stop.
The second module also lasts one and a half hours and introduces no-code tools. The official page names n8n, Make and ChatGPT, with possible connections to Google Sheets, a CRM or a messaging service. The programme covers workflow logic, integrations and system instructions that define the agent’s behaviour. For beginners, this is likely to be the most immediately useful section because it turns a broad idea into a sequence of actions that can be checked.
The final two hours focus on practical projects. ITIC announces two deliverables: a lead-generation or prospecting agent, followed by a customer-support agent that can draw on a knowledge base. The first can collect information, qualify a request and prepare a reply. The second should answer frequently asked questions and hand edge cases over to a human. This handoff principle matters: a reliable agent must recognise situations it should not handle alone.
Five hours can provide a starting point, not expertise
Five hours are not enough to become an AI architect, API specialist or data-security expert. They can, however, be enough to learn the vocabulary, assemble a simple workflow and see immediately what works or fails.
In our view, the value of this format will depend less on the amount of theory than on the quality of the two completed projects. An agent using poor data or sending messages without validation can quickly become counterproductive. A poorly controlled support agent may invent answers. The course should therefore be judged by its testing methods, error handling, information-protection practices and process for handing cases to a person.
ITIC’s page also announces preparation for the Google Generative AI Leader professional certificate, delivered through Coursera. This is an interesting addition, but candidates should ask about the precise arrangements before enrolling: whether Coursera access is included, whether an assessment is required, the language of the content and the conditions for obtaining the certificate. The page presents this as an additional certification; it does not describe the short course itself as an RNCP qualification.
€149 before September access
As of 3 August 2026, the official page displays a pre-registration offer of €149 instead of €249, with access scheduled for September. Emmanuel Lecugy also announced the opening of pre-registration in a recent LinkedIn post. As with any launch offer, the price may change, so applicants should check the amount displayed, payment conditions and exact opening date when applying.
At this price, the course may suit someone who wants to test automation seriously without committing to a year of study. It is most relevant to people with a concrete use case: qualifying incoming requests, preparing repetitive replies, structuring monitoring work or connecting a form to a table.
Before paying, we recommend asking four practical questions: how long access to the lessons remains open, which external subscriptions are required, what human support is provided and how the projects are assessed. official no-code AI agent training page is the starting point for checking the information and completing pre-registration.
Who can benefit from the course?
The advertised audience is broad, but the strongest fit is someone who wants to move from passive ChatGPT use to controlled automation. A freelancer can build an initial filter for incoming requests. A small business can test an internal FAQ. A content creator can organise research without blindly delegating the writing. Someone changing careers can discover whether no-code workflows suit them before considering a longer programme.
Expectations should remain realistic. The course can provide a method and two prototypes, but it cannot replace hands-on experience or the skills needed to deploy a system handling sensitive data. Further progress will require documenting flows, controlling costs, testing responses and learning the basics of the GDPR and security.
ITIC Paris’s offering is clear: a short format, identified tools and precise deliverables. For discovering AI agents without starting with code, it is a coherent introduction. The useful habit afterwards is to keep a critical eye on every automation. An agent is valuable not because it merely appears intelligent, but because its data, limits and actions remain understandable.
Frequently asked questions
Do you need to know how to code to take ITIC Paris’s no-code AI agent training?
No. ITIC Paris states that no programming skills are required. Participants must nevertheless be comfortable with a computer and digital tools because the course uses visual platforms and integrations between several services.
How long does the course last?
The official programme announces five hours divided into three modules: understanding AI agents, discovering no-code tools and building two practical agents.
What price is currently displayed?
As of 3 August 2026, ITIC Paris displays a pre-registration offer of €149 instead of €249, with access scheduled for September. The price and conditions should be checked again on the official page before payment.
What projects do you build during the course?
The announced deliverables are a prospecting or lead-generation agent and a customer-support or automated-response agent, built with no-code tools.