How to set up an AI project without knowing how to code: 10 practical tools

The artificial intelligence revolution is no longer a thing of the future. It is happening here and now, transforming the way we work, learn, sell, design and take decisions. However, one of the big barriers perceived by those who want to enter this world is programming. What if we told you that today you can start an AI project without writing a single line of code?

This is precisely what was experienced at the last workshop held at IMMUNE, where Adrian Bertol, digital strategy and AI expert at Digital+ Orange, showed in a practical way how anyone can devise, launch and scale a business project based on artificial intelligence with tools accessible and without prior technical training.

Why is AI now more accessible than ever? Here's how to set up an AI project

Thanks to the rise of generative artificial intelligence - such as ChatGPT, DALL-E, Midjourney or Sora - we can now create texts, images, presentations, web pages, virtual assistants, videos and even songs without having to be programmers or designers.

During the workshop it was put into practice how a simple idea - such as setting up an advertising agency specialised in sales coaching - can be used to shape a brand, a company or an organisation. pitch a logo, a commercial strategy, a functional website and an AI-enabled chatbot to serve your potential customers.

This process was not only agile, but also revealed something fundamental: artificial intelligence is democratising innovation. What was once reserved for large companies or programming experts is now within the reach of anyone with the will to learn and experiment.

Generative AI vs. traditional AI: how do they differ?

One of the key points of the workshop was to understand the differences between traditional AI and generative AI:

• Traditional AIAnalyses, predicts and classifies from structured data (e.g. to forecast employee turnover or segment customers).
• Generative AIIt is able to create new content (text, images, audio or code) from previous examples. It is the AI that writes articles, generates logos or designs an entire website.

Understanding this difference is vital in order to know how to apply each technology according to the problem we want to solve, and thus be able to implement an AI project.

The tools that are revolutionising the creation of AI projects

During the session, more than 10 practical tools that can be used during the creation of an AI project. These include:

• ChatGPT was used to generate value propositions, commercial messages, customer segmentation and automated responses. It also helped write content for websites, emails and other media.
• Looka allowed us to generate a logo and colour palette for the project brand in less than 10 minutes, starting with just the name and sector.
• Midjourney The project was used to obtain unique, professional-quality illustrations (e.g. portraits, scenarios, backgrounds, banners) from natural language descriptions.
• SoraAlthough not yet open to the public, its potential to generate realistic video clips by simply describing a scene was explained, which will revolutionise audiovisual production.
• Opus Clip showed how a long video can be turned into short, subtitled, vertically-formatted clips for social media in seconds.
• Notion was used to structure the launch strategy, the project roadmap and the AI-generated training texts.
• Chatbase allowed to upload content (FAQs, texts, PDFs) and train a chatbot without code to respond naturally to potential customers.
• N8N was used to connect tools (e.g. sending leads from a chatbot to Notion or email) with visual flows, without the need for programming.
• Learning Studio and other e-learning platforms explored how to create video training pills with AI-generated avatars explaining concepts in different languages and styles.
• Playground and online HTML editors allowed to show how to generate HTML, CSS or JavaScript code with AI and visualise it directly online to launch a landing page in minutes.

All without the need to install software or pay high subscriptions. Many of these tools offer free or accessible versions that allow you to explore without limits.

The value of training in a fast-changing environment

One of the most powerful conclusions of the workshop was that technical knowledge is no longer the only gateway to the AI sector. Today, business, marketing, design or sales profiles can lead any type of AI project if they know how to use these tools well.

This does not mean, however, that there is no need for training. On the contrary: the market is increasingly demanding professionals who are able to combine the following skills strategic vision, critical thinking and basic technical knowledge to realise the full potential of these solutions.

At IMMUNE, we offer training programmes in Data Science, Artificial Intelligence and Generative AI designed precisely to prepare future professionals for this new paradigm. From bootcamps to masters, our programmes combine theory, practice and real cases to help you to become a high-value professional profile in the digital economy.

Are you passionate about AI and want to take the next step?

The session closed with a key sentence: "AI is not going to replace you, but whoever knows how to use it will."

If you are curious, if you are already using AI tools on your own or if you want to acquire a solid base to specialise in a sector with unstoppable projection, this is your moment.

We invite you to explore our AI trainings sign up for our next free workshops and start your journey today.