Master´s degree in artificial intelligence business strategy

MODULE 1. BIG DATA

UNIT 1. INTRODUCTION TO BIG DATA

UNIT 2. DATA SOURCES

UNIT 3. OPEN DATA

UNIT 4. PHASES OF A BIG DATA PROJECT

UNIT 5. HADOOP ECOSYSTEM

UNIT 6. WEKA AND DATA MINING

MODULE 2. BUSINESS ANALYTICS: INFORMED DECISION MAKING

UNIT 1. BUSINESS INTELLIGENCE AND THE INFORMATION SOCIETY

UNIT 2. MAIN BUSINESS INTELLIGENCE PRODUCTS

UNIT 3. DATA MINING OR DATA MINING AND MACHINE LEARNING

UNIT 4. DATAMART. CONCEPT OF DEPARTMENTAL DATABASE

UNIT 5. DATAWAREHOUSE OR CORPORATE DATA STORAGE

UNIT 6. INTRODUCTION TO DATA VISUALIZATION

UNIT 7. TABLEAU

UNIT 8. POWER BI

UNIT 9. LOOKER

UNIT 10. QLIKVIEW

MODULE 3. FUNDAMENTALS OF DATA ANALYSIS

UNIT 1. INTRODUCTION TO DATA SCIENCE

UNIT 2. RELATIONAL DATABASES

UNIT 3. NOSQL DATABASES AND SCALABLE STORAGE

UNIT 4. INTRODUCTION TO A NOSQL DATABASE SYSTEM, MONGODB

UNIT 5. PYTHON AND DATA ANALYSIS

UNIT 6. R AS A TOOL FOR BIG DATA

UNIT 7. PRE-PROCESSING & DATA PROCESSING

UNIT 8. DATA ANALYSIS

MODULE 4. ARTIFICIAL INTELLIGENCE AND DEEP LEARNING

UNIT 1. INTRODUCTION TO ARTIFICIAL INTELLIGENCE

UNIT 2. TYPES OF ARTIFICIAL INTELLIGENCE

UNIT 3. ALGORITHMS APPLIED TO ARTIFICIAL INTELLIGENCE

UNIT 4. RELATIONSHIP BETWEEN ARTIFICIAL INTELLIGENCE AND BIG DATA

UNIT 5. EXPERT SYSTEMS

UNIT 6. FUTURE OF ARTIFICIAL INTELLIGENCE

UNIT 7. INTRODUCTION TO MACHINE LEARNING

UNIT 8. EXTRACTION OF DATA STRUCTURE: CLUSTERING

UNIT 9. RECOMMENDATION SYSTEMS

UNIT 10. CLASSIFICATION

UNIT 11. NEURAL NETWORKS AND DEEP LEARNING

UNIT 12. CHOICE SYSTEMS

UNIT 13. DEEP LEARNING WITH PYTHON, KERAS, AND TENSORFLOW

UNIT 14. NEURAL SYSTEMS

UNIT 15. SINGLE-LAYER NETWORKS

UNIT 16. MULTILAYER NETWORKS

UNIT 17. LEARNING STRATEGIES

MODULE 5. NLP, CHATBOTS, AND ARTIFICIAL INTELLIGENCE

UNIT 1. INTRODUCTION TO NLP

UNIT 2. NLP IN PYTHON

UNIT 3. SYNTAX COMPUTATION FOR NLP

UNIT 4. SEMANTICS COMPUTATION FOR NLP

UNIT 5. INFORMATION RETRIEVAL AND EXTRACTION

UNIT 6. WHAT IS A CHATBOT?

UNIT 7. RELATIONSHIP BETWEEN AI AND CHATBOTS

UNIT 8. APPLICATION AREAS OF CHATBOTS

MODULE 6. CHAT GPT AND ARTIFICIAL INTELLIGENCE

UNIT 1. ARTIFICIAL INTELLIGENCE AND CHAT GPT

UNIT 2. CHAT GPT AND ITS FUNCTIONING

UNIT 3. CREATION OF A BASIC CHATBOT WITH CHAT GPT

UNIT 4. IMPROVING USER INTERACTION

UNIT 5. INTEGRATION OF CHAT GPT INTO A WEBSITE OR APPLICATION

UNIT 6. MONETIZATION OF A CHATBOT

UNIT 7. ETHICS AND RESPONSIBILITY IN AI AND CHATBOTS

UNIT 8. ADVANCED APPLICATIONS OF CHAT GPT

UNIT 9. TOOLS AND RESOURCES FOR DEVELOPING CHATBOTS WITH CHAT GPT

UNIT 10. APPLIED USE CASES WITH CHAT GPT

MODULE 7. PROGRAMMING ARTIFICIAL VISION WITH PYTHON AND OPENCV

UNIT 1. INTRODUCTION AND INSTALLATION OF OPENCV

UNIT 2. HANDLING FILES, CAMERAS, AND GRAPHICAL INTERFACES

UNIT 3. IMAGE PROCESSING

UNIT 4. HISTOGRAMS AND TEMPLATE MATCHING

UNIT 5. COLORS AND COLOR SPACES

UNIT 6. FACE DETECTION AND FEATURE EXTRACTION

UNIT 7. MACHINE LEARNING

MODULE 8. ARTIFICIAL INTELLIGENCE FOR PROGRAMMERS

UNIT 1. MACHINE LEARNING (MACHINE LEARNING)

UNIT 2. ARTIFICIAL NEURAL NETWORKS (RNA)

UNIT 3. NATURAL LANGUAGE PROCESSING (NATURAL LANGUAGE PROCESSING - NLP)

UNIT 4. ARTIFICIAL VISION

UNIT 5. MASSIVE DATA PROCESSING (BIG DATA) IN ARTIFICIAL INTELLIGENCE

UNIT 6. OPTIMIZATION AND TUNING OF AI MODELS

UNIT 7. REINFORCEMENT LEARNING (REINFORCEMENT LEARNING)

UNIT 8. DEPLOYMENT AND PRODUCTION OF AI MODELS

MODULE 9. MASTER'S FINAL PROJECT