Artificial Intelligence and Digital Automation

Focus on the fundamentals. Build a solid foundation in fundamental concepts of No Code, Low Code, Generative AI, programming fundamentals, databases, and project management.

• ALGORITHMS AND PROGRAMMING LOGIC
  
  • Algorithms, computational logic, and visual workflows applied to automation.
• Web Standards for No Code and Low Code
  
  • Basic HTML, CSS, and JavaScript skills are essential for customizing and understanding the solutions.
• Visual Database and Integrated Tools
  
  • Build and connect visual databases intuitively, organizing the information from your applications.
• Fundamentals of Project Management
  
  • Learn how to bring ideas to life with product vision, MVP, roadmap, and digital application lifecycle planning.
• Fundamentals of AI with a Focus on Generative AI
  
  • Discover how Language Models (LLMs) work and how to use prompt engineering to create content, ideas, and solutions.
• Fundamentals of No-Code and Low-Code
  
  • Take your first steps in creating no-code applications with accessible and practical tools.
• CURRICULARIZED EXTENSION
  • The student completes an introductory curricular extension course, focusing on social organizations and the role of academic outreach. This stage presents fundamental concepts of social impact and prepares the student to apply their knowledge practically in the future.

Delve into the analysis and measurement of social impact. Discover how to collect and interpret data to evaluate the effectiveness of projects.

• Interaction and Interface Design (UX/UI)
  
  • Create more intuitive experiences with a focus on usability, accessibility, and responsive design.
• LOW CODE WEB APPLICATION DEVELOPMENT
  
  • Learn how to build complete web applications with advanced platforms, prioritizing performance and usability.
• Generative AI Applied to Development
  
  • Use artificial intelligence to generate code, create virtual assistants, and accelerate the development of digital solutions.
• API Integration
  
  • Connect systems and tools through REST APIs and visual connectors, expanding the reach of your applications.
• Agile Methodologies and Product Validation
  
  • Learn how to plan and evolve digital products using agile frameworks like Scrum and Kanban, focusing on short cycles, testing with real users, and continuous improvement based on feedback.
• PRODUCTIVITY AND TIME MANAGEMENT
  
  • Organize your tasks, prioritize what matters, and optimize your routine with high-performance techniques.
• CURRICULARIZED EXTENSION
  • The student participates in an institutional course focused on the analysis and measurement of social impact. They learn methodologies for data collection and interpretation, essential for evaluating the effectiveness of social projects.

Put everything into practice: plan, execute, and present a complete project, analyzing its impact and generating real value for the community.

• LOW CODE APPLICATION AND AUTOMATION DEVELOPMENT
  
  • Create systems and automations that integrate business logic, artificial intelligence, and usability into a single workflow.
• PROCESS AND WORKFLOW AUTOMATION
  
  • Learn how to map processes, find bottlenecks, and create automated workflows using RPA and no/low-code platforms, from scratch to intelligent automation.
• Metrics and Monitoring of Low-Code Applications
  
  • Learn how to measure, analyze, and optimize the performance of your applications based on real data and strategic KPIs.
• Advanced Generative AI
  
  • Explore features such as fine-tuning, embeddings, RAC, and autonomous agents to create increasingly intelligent solutions with responsibility, ethics, and security.
• Problem Solving and Critical Thinking
  
  • Develop logical reasoning, creativity, and decision-making skills to face real-world challenges independently.
• PRODUCT INFRASTRUCTURE AND SECURITY FOR NO/LOW-CODE APPLICATIONS
  
  • Learn how to deploy to the cloud, configure CI/CD pipelines, monitor performance, and apply information security practices, all in compliance with the LGPD (Brazilian General Data Protection Law) and with a focus on ethics in the use of AI.
• CURRICULARIZED EXTENSION
  • The student applies the knowledge acquired in previous semesters to a complete practical project. The activity involves planning, execution, and impact analysis, also utilizing technical skills from the degree program. The project is developed with a focus on social relevance and real-world application in the community.