Artificial Intelligence & Data Science Bootcamp

IE Business School

Digital

About Programme

There will be an estimated 1 million new digital and tech jobs in Europe in this decade. Traditional higher education is unlikely to produce enough graduates to fill even a third of them. This means that upon completing the IE Artificial Intelligence & Data Science Bootcamp, you will have learned to acquire, clean, structure, store, manipulate, analyze, and visualize data from diverse sources to answer complex business questions. You will know how to find patterns, use machine learning and other analytical tools, being ready to put solid knowledge into practice across the business world.

Upon completing the IE Artificial Intelligence & Data Science Bootcamp, you will have mastered the skills to acquire, clean, structure, store, manipulate, analyze, and visualize data. You will also delve into Deep Learning technologies, including Natural Language Processing (NLP), Computer Vision (CV), and Generative AI. You will gain proficiency in integrating Large Language Models (LLMs) with tools such as databases and web interfaces.

Programme Content

The Artificial Intelligence & Data Science Bootcamp offers you the chance to excel in Data Science and AI, two of the decade's most in-demand fields. You will learn to acquire, clean, structure, store, manipulate, analyze, and visualize data from diverse sources to solve complex business problems.

Additionally, you will gain expertise in Deep Learning technologies, focusing on Natural Language Processing (NLP), Computer Vision (CV), and Generative AI. This comprehensive program equips you with the skills to integrate Large Language Models (LLMs) with tools like databases and web interfaces.

MODULE 1: UNDERSTAND THE BASICS

Python Programming

Data types and variable assigning

Mathematical and logical operators and functions

Loops and conditional code execution

Advanced data structures (lists, dictionaries, data frames, etc...)

Loading external modules and packages for data analysis (Pandas, Numpy)

Working with files

Calculating basic summaries and data transformations

MODULE 2: MATHS & STATS FOUNDATION FOR MACHINE LEARNING

Math & Stats for Data Science

Introduction to data. Observational studies

Experiments. Distributions and basic metrics

Statistical tests and inferential statistics

Introduction to Probability. The Central Limit Theorem. Conditional Probability

Sampling and random variables. Continuous distributions

Confidence Intervals and Hypothesis tests

Linear Regression and multiple linear regression

MODULE 3: LEARN TO PREP ADEQUATE VISUALS

Data Acquisition, SQL & Visualization

SQL querying databases

Working XML, CSV and JSON files in Python

SQL queries to import into Python scripts

Exploratory data analysis

Creating data visualizations in ggplot2

Creating data visualizations in seaborn and matplotlib

MODULE 4: LEARN THE MAGIC OF DATA SCIENC

Machine Learning in Python

Data cleaning and wrangling techniques in Python

Basic models for regression and classification

Feature selection in machine learning algorithms

Machine learning packages in Python. (scikit-learn)

Clustering algorithms

Advanced machine learning models: Tree based models, ensemble models neural networks

Model fine-tuning in Python

Assessing statistical models (cross-validation, ROC analysis) in Python

MODULE 5: LEARN TO TRAIN DEEP LEARNING MODELS & GENERATIVE AI

Deep Learning and generative AI

Understand the basic behavior of deep neural networks

Gain familiarity with some of the most used frameworks for DNN: Pytorch and Hugginface

Be able to build solutions to solve some of the most common NLP and CV problems: text and image classification, image segmentation, text and image generation and retrieval augmented generation (RAG)

Put LLMs to work with external tooling thanks to LangChain agents

Learn when and how to use vector databases

MODULE 6: TELL THE STORY WITH DATA

Communication and Data Storytelling

Narrative structures in data storytelling

Selecting audience-specific topics

Public speaking workshop

Giving winning presentations

Influence & persuasion

OPTIONAL EXTRA ONLINE PROGRAM - GENERATIVE AI: UNLOCKING ENTREPRISE VALUE

This online course offers strategic insights into applying generative AI for digital transformation and enhancing enterprise value. Over four weeks, participants will engage in video lectures, interactive activities, and discussions to develop an effective generative AI adoption strategy aligned with business goals.

DURATION

4 weeks

FORMAT

Online

LANGUAGE

English

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Industry visits are an essential part of the program—they provide you with firsthand knowledge of how international companies adapt their use of data science or machine learning to their day-to-day operations. You’ll hear from them directly as they demonstrate how theory is turned into everyday practice in the real business world. Below you can check out some of the multinational companies that came to visit and teach our students.

Meet Rodrigo, the professor of a popular course amongst students of the Bootcamp. His course on Resilience touches upon some of the key pillars on which is successful career (and life) are built, and is part of an ongoing effort by IE to continue to think outside of the box in order to maximize the success of its students.

Are you ready to make huge strides toward redefining your career? Join our career sessions to learn how to present your best self in interviews when applying to data jobs, how to adapt your CV and cover letters to the industry, as well as discover the many other ways that we at IE University can help you advance your career.

Programme Audience

The increasing demand for data science integration across industries has dramatically stimulated the need for data-science talents worldwide.

At our Artificial Intelligence & Data Science Bootcamp, we seek ambitious and motivated students or professionals who want to learn how to use data across industries more efficiently.

Are you interested in quickly gaining data science skills to kick-start promising data science careers?

Scroll down the page and find out more information about our participants.