Artificial Intelligence

Nuclio Learning

AI and Data Course for Executives

up to 12 hours
Beginner

Learn to decipher the world of artificial intelligence (AI) and data from scratch. From data-driven business strategies to technological platforms, dive into the universe of AI with no prior knowledge required.

Data-Driven Strategy
Data Technologies
Cloud Computing
Programming
Data Science

Overview

In this course, you will gain the skills to navigate and understand essential concepts, and by the end of the course, you will be able to apply this knowledge practically in the business field. You will learn about data-driven business strategies, data platforms and technologies, programming languages, data science, machine learning, deep learning, and generative AI with a special focus on AI ethics.

Online
course location
Spanish
course language
Professional Certification
upon course completion
Self-paced
course format
Pre-recorded classes
delivered online

Who is this course for?

Executives

Business executives looking to understand the fundamentals of artificial intelligence (AI) and data without prior knowledge.

Business Professionals

Professionals in the business sector interested in learning about data-driven business strategies and data platform technologies.

Entrepreneurial Minds

Individuals with an entrepreneurial mindset aiming to apply AI and data knowledge practically in the business realm.

Why should you take this course?

Felipe Calderero

Lead of Technology and Product Teams

This course offers a solid understanding of AI and data fundamentals for business executives and professionals without prior knowledge. You will learn to navigate and understand key concepts, from data-driven business innovation to data platform technologies, and comprehend AI and Data concepts with a special focus on AI ethics.

Pre-Requisites

1 / 3

No prior knowledge of artificial intelligence or data is required.
Interest in understanding data-driven business strategies.
Desire to learn about AI and data technologies and their practical applications in business.

What will you learn?

Introduction

Welcome and introduction to the course, target audience, general overview of what to expect, course objectives, brief description of the course structure, and information about the instructor.

Data-Driven Business Strategy

Evolution of business strategy from marketing to product, Blue Ocean strategies, customer-centric approach, customer data challenges, and the virtuous circle of data.

Data Platforms and Technologies: Relational Databases

Evolution of data and AI technologies, enterprise data generation systems, information storage systems, relational databases (SQL), database functions, and business intelligence (BI).

Data Platforms and Technologies: Non-Relational Databases (NoSQL)

Types of data, non-relational databases and types, data lakes, data warehouse vs. data lake, storage scalability, distributed computing, and big data.

Data Platforms and Technologies: The Cloud

Pre-cloud era, cloud computing emergence, cloud characteristics and benefits, cloud service models, and cloud types with a practical example.

Programming Languages

Understanding programming languages, types of programming languages, most used languages, and current trends.

Data Science

Analytics and data science definitions, roles, scientific method, algorithms, machine learning, AI types, deep learning, and differences between AI, data science, and ML.

Machine Learning

Types of problems in machine learning, supervised learning, unsupervised learning, reinforced learning, and multiple approaches to a problem.

Deep Learning

Understanding deep learning, basic concepts, deep neural networks, deep learning architectures, challenges, and specialized hardware.

Generative Artificial Intelligence

Generative AI, applications, tools, ChatGPT deep dive, history, technical foundations, communication with ChatGPT, AI hallucinations, business model, and API-based applications.

Data and AI Ethics

Ethics in the context of AI, the singularity, fundamental ethical principles of AI, real cases of ethical issues, data privacy and protection, and AI ethics in film and literature.

Conclusion

Course content summary, review of course objectives, and acknowledgments.

Meet your instructor

Felipe Calderero
Instructor, Nuclio Learning
Felipe Calderero is an AI Professor at Nuclio Learning. He is a data and AI-driven tech leader with over 15 years of experience.

Upcoming cohorts

Cost
€250
Duration
12 hours
Dates
start now
Location
Online

Frequently Asked Questions

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€250