Certify program in artificial intelligence

Big Data is defined as The Process of Collecting Large Heterogeneous Amounts of Data for Analysis (Subtimes in Real Time). This data is so long and complex that traditional Processing Means are ineffective, Henze, The New Forms and Computer Applications Capable of Managing and Processing All This Amount of Data Must Be Develop. Big Data was born as a responsibility to these challenges, and above all, so that This Data Analysis, We May Be Uble to Attract More Customers, Avoid Losing Them, and Improve Our Operational Process. This program aims at guiding studnts in their UNDERSTANDING OF THE TECHNOLOGIES BEHIND BIG DATA AND ARTIFICIAL INTELLIGNCE. As a Matter of Fact, artificial Intelligence Applied to the Real World requires extraordinary vision, and This Course Intends to Show The Path to Underestanding The Technology, its Applications, and The Execution of Advanced Ai Project Management Models.

The Overall Objective of This Program is to Guide The Student Towards Developing a New Technological Profile and Acquiring the Management and Software Project Development Skills Necessary In This Changing World. The Global Objective Consists of the Following Specific Objectives: - Understand What Big Data Is, Why Talk About Big Data, What It is for and the Technological Elements That Support the Concept. - Understand Intelligent Systems Capable of Responding to Current Demands. - Know and Design the Architecture Behind Big Data and Artificial Intelligence - Develop Ideation and Management Methodologies for Ai Projects - Identify the factors that convert an ai solution into viable project.

A BIG DATA + AI EXPERT IS CAPABLE OF MANAGING AREAS SUCH AS MARKETING, AS WHEL AS THE DATA TEAM, AND THE ANALYTICS TEAM, IN ADDITION TO BEING ABLE TO LEAD A DATA-BASED TRANSFORMATION OF THE COMPANY. The Job Opportunities Can Be Classified Within The Following Groups: - Digital Marketing Specialist: In Marketing, The Application of Artificial Intelligence is Key To Analyzing Markets and Improving User Experience, Which Leads to Increased Sales. - Business Translator: An Expert Who Makes Strategic Decions and Who Also Has Analytical Training Suitable To Serve As a Link Between Data Scientists and Business Development. - Data Scientist: Special Agent in the Tasks of Application and Use of Machine Learning Techniques. - Model Integrator: It is part of the chain of professionals Responsible for Artificial Executing Intelligence and Machine Learning Work in the Organization. It is a computer scientist who knows how algorithms work and is in charge of applying predictive models, as well as Automating the change of that model When the continuumo learning process process improper it.

THIS ARTIFICIAL INTERLIGENCE CERTIFICATE PROGRAM PREPARES YOU TO UNDERSTAND AND APPLY CUTTING-EDGE TECHNOLOGIES IN BIG DATA AND AI. You Will Gain Skills in Machine Learning, Deep Learning, and Data Preprocessing. By the end of the courso, You Will Be Uble to Develop Ai Models, Work With Tensorflow and Keras, and Execute Advanced Ai Project Management. This Program You To Tackle Real-World Challenges Using AI and Enhance Operational Processs Through Data Analysis and Ai Technologies.

Engineers from All sectors. BusinessPeople, Directors and Executives Who Wish To Learn about the possibilities and implications of the new digital transformation. Workers from public and private sectors intersted in entrepreneurship. College and University Students and Professors, Chambers of Commerce, etc. All Those Who Wish to Delve into the Concepts and Applications of Digital Transformion in Any Sector (E.G., Blockchain).

This training is not included in the scope of official regulated training (Infant Education, Primary Education, Secondary Education, Official Professional Training FP, Baccalaureate, University Degree, Official University Master and PhD). It is therefore a complementary and/or specialization training, aimed at acquiring certain skills, skills or aptitudes of a professional nature, being able to be barely as merit in workbags and/or opposition competitions, always within the complementary training section and/or continuous training being always essential to review the specific requirements of the public labor stock of the public labor stock market.