Description
Who is the Artificial Intelligence Developer?
The Artificial Intelligence Developer is a professional figure who transforms Artificial Intelligence (AI) into a concrete lever for business innovation. Leveraging advanced skills in computational algorithms, statistical analysis, Machine Learning, and Deep Learning, they design and train Large Language Models (LLM) for predictive applications, data analysis, and conversational systems. They integrate end-to-end AI solutions into corporate applications, transforming data into strategic knowledge and supporting business decisions. This professional operates across the entire AI model lifecycle, from design and implementation to performance monitoring and continuous updates.
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.
Course Objectives
- Design, develop, and validate Machine Learning and Deep Learning models, applying advanced methodologies to solve complex problems.
- Train and customize LLMs, making them effective for specific and industry-focused applications.
- Conduct predictive analysis and automated data classification, turning information into actionable knowledge for strategic decisions.
- Integrate AI models into software applications via APIs and microservices, ensuring scalability and interoperability.
- Manage data pipelines and AI workflows (MLOps), automating processes and ensuring operational continuity.
- Collaborate in multidisciplinary teams to deliver end-to-end AI projects, from ideation to production.
- Monitor model performance and provide ongoing updates to ensure quality, reliability, and continuous improvement.
- Apply ethical and regulatory principles in designing responsible AI solutions, respecting legal and social compliance
Curriculum
- IT Infrastructure and Cybersecurity
- Python Programming and OOP
- Data Management and Databases
- Fundamentals of Data Science
- Artificial Intelligence (ML/DL)
- Technical English, Soft Skills, and Project Work using Agile methodology
Why it is the right course for you
- You want to work in software houses dedicated to the development of business applications.
- You are interested in joining IT consulting firms and digital service providers, helping to design tailor-made AI solutions for various sectors.
- You see your future with Internet Service Providers and system integrators, integrating AI models into complex platforms and infrastructures.
- You want to be part of the ICT departments of medium-to-large industrial and service companies that adopt AI solutions for business process optimization.
- You want to build your career as an AI Developer, Machine Learning Engineer, Junior Data Scientist, MLOps Specialist, or as a developer of NLP solutions, intelligent chatbots, and advanced predictive systems
