Format:
Blended-Learning
This program aims to provide a detailed overview of the latest advancements in Deep Learning technologies that enable the development of artificial intelligence systems, such as Chat-GPT or GEMINI, which can be applied and implemented in business contexts, significantly enhancing competitiveness and innovation within companies. The program combines theoretical classes with practical sessions, designed to guide participants through the typical phases of building a "Deep Learning" system to solve business problems. The program covers the technological dimensions of neural networks for processing generic business data, image processing, and sequential data processing such as sound, text, or video. Upon completing this program, participants will be able to develop their own artificial intelligence system, create their own Chat-GPT, and gain a detailed understanding of the technologies that underpin current "large language models" (LLMs).The program offers practical experience through a case study that uses real-world data. The program consists of two curricular groups: the first curricular group focuses on predictive analysis through machine learning; the second curricular group introduces tools to design, implement, and evaluate experiments. Both curricular groups conclude with a group project to be developed using the methods and tools learned in the program.
Alumni who have obtained initial certification in the “Data, Analytics & AI” program and meet the entry requirements for this advanced certification.
Professionals interested in developing advanced data analysis skills for business decision-making, preferably with training or experience in programming (preferably in Python or R) and statistics.
Key Takeaways:
Provide a detailed overview of the latest advancements in "Deep Learning" technologies that enable the development of advanced artificial intelligence systems, such as Chat-GPT or GEMINI.
Develop a project focused on building a "Deep Learning" system to solve specific business problems.
Develop "your own Chat-GPT" and gain a detailed understanding of the technologies that underpin current "large language models" (LLMs).
EXECUTIVE EDUCATION - OPEN PROGRAMS
Tânia Sousa