Description
Who is the Artificial Intelligence Developer?
The Oracle of Delphi. Calculation algorithms, neural networks, advanced statistical analysis and Artificial Intelligence are the weapons of a modern digital oracle. The development and training of Large Language Models make it possible to predict the outcomes of events and processes, helping companies make informed decisions and improve their performance.
Professional Profile
AI is a key technology in digital transformation. Companies seek professionals capable of developing intelligent solutions by integrating predictive models and conversational systems. This course meets the growing demand for experts who can independently develop advanced AI solutions.
The Higher Technician in Software Development specialized as an Artificial Intelligence Developer uses algorithms, statistical analysis techniques, and machine learning models to develop and train LLMs. They can design AI solutions to predict phenomena, optimize business processes, and support strategic decisions.
Courses are activated subject to approval by the FVG Region
How to Prepare for the Selection Process
- Practice logic and problem-solving: try online quizzes with multiple-choice questions.
- Review technical English, especially reading comprehension (B1/B2 level required).
- Learn about the chosen course: the technical test assesses basic knowledge in the field (energy, agro, or digital).
- Prepare for the motivational interview: reflect on your reasons for choosing this path, your interests, and future goals.
Activities
– Designing, developing, and validating ML and DL models
– Training and customizing LLMs
– Predictive analysis and automated data classification
– Integrating AI models into software via APIs and microservices
– Managing data pipelines and AI workflow automation (MLOps)
– Collaborating in multidisciplinary teams on end-to-end AI projects
– Monitoring model performance and continuous updates
– Applying ethical and regulatory principles in AI design
– Working in Agile teams throughout the software project lifecycle
Technologies and Tools
– Programming: Python, SQL, Bash
– AI Libraries: scikit-learn, TensorFlow, PyTorch, Hugging Face Transformers
– Data Management: Pandas, NumPy, Apache Spark, Hadoop, MongoDB
– Version Control: Git, GitHub, GitLab
– Development Environments: Jupyter Notebook, VS Code, Google Colab
– Project Management: Git, Agile (Kanban, Scrum), Trello, Google Suite
Career Opportunities
– Software houses focused on business applications
– IT consulting and service companies
– Internet service providers
– System integrators
– ICT departments of medium-large industrial or service companies
Career paths may evolve into:
– AI Developer
– Machine Learning Engineer
– Junior Data Scientist
– MLOps Specialist
– NLP and chatbot developer
– Predictive data analyst