Emerging Careers

Explore the careers shaping the digital world.

Discover a career. Understand the skills. Build your path.

Eight-lesson discovery paths to understand each career, identify the key skills it requires and see which courses can help you go further.

Choose your career

15 careers to discover · 120 exploration lessons

A discovery and orientation course — does not constitute a professional certification.

Explore future careers →

Your personal Learning Workspace is created automatically after your first purchase.

Discovery pathways

Discover the careers of the future

15 pathways with 8 lessons each to understand the careers, their missions and the key skills.

All careers AI & Agents Product & Human-AI Data & Cybersecurity Trust & Governance Digitalization & Transformation

AI & Agents

AI Engineer

understanding the role, responsibilities, and skills of an AI Engineer

8 lessons · 9,90 € View courses

AI & Agents

Machine Learning Engineer

understanding how a Machine Learning Engineer industrializes and maintains models in production

8 lessons · 9,90 € View courses

AI & Agents

AI Agent Developer

discovering how an AI Agent Developer designs agents able to use tools, data, and actions

8 lessons · 9,90 € View courses

Product & Human-AI

AI Product Manager

understanding how an AI Product Manager turns a business need into a useful, measurable AI product

8 lessons · 9,90 € View courses

Product & Human-AI

Human-AI Interaction Designer

discovering how to design useful, understandable, and controllable interactions between humans and AI

8 lessons · 9,90 € View courses

Product & Human-AI

AI Trainer / AI Data Specialist

understanding how to prepare, qualify, and evaluate the data and behaviors used by AI systems

8 lessons · 9,90 € View courses

Data & Cybersecurity

Data Analyst

discovering how a Data Analyst turns data into information useful for decision-making

8 lessons · 9,90 € View courses

Data & Cybersecurity

Data Scientist

understanding how a Data Scientist explores data and builds analytical or predictive models

8 lessons · 9,90 € View courses

Data & Cybersecurity

Cybersecurity Analyst

discovering how a Cybersecurity Analyst monitors, qualifies, and helps handle cyber incidents

8 lessons · 9,90 € View courses

Trust & Governance

AI Security Specialist

understanding how an AI Security Specialist protects applications, agents, and data flows that use AI

8 lessons · 9,90 € View courses

Trust & Governance

AI Governance & Ethics Specialist

discovering how an AI governance specialist oversees risks, compliance, accountability, and usage

8 lessons · 9,90 € View courses

Trust & Governance

Digital Trust Officer

understanding how a Digital Trust Officer coordinates security, data, compliance, and digital trust

8 lessons · 9,90 € View courses

Digitalization & Transformation

AI Automation Specialist

discovering how an AI Automation Specialist automates processes by combining AI, scripts, and integrations

8 lessons · 9,90 € View courses

Digitalization & Transformation

Analytics Engineer

understanding how an Analytics Engineer turns raw data into reliable models for BI and analysis

8 lessons · 9,90 € View courses

Digitalization & Transformation

Digital & AI Transformation Specialist

discovering how a Digital & AI Transformation Specialist leads a digital and AI transformation end to end

8 lessons · 9,90 € View courses

See the full catalog →

Professional learning paths

Build professional skills for future careers

Complete, level-based learning paths designed to develop practical professional skills you can apply in real work.

Professional learning paths

Data Analyst

Professional Data Analyst — From raw data to decision-ready insights

A complete professional pathway for turning raw data into reliable analysis, useful metrics and recommendations that business teams can act on.

15 courses · 150 lessons
from 24,90 € View courses →

Professional learning paths

Data Scientist

Professional Data Scientist — From business problem to production model

A complete professional pathway for running a Data Science process from the business problem to an evaluated, deployed and monitored model.

15 courses · 150 lessons
from 24,90 € View courses →

Professional learning paths

Cybersecurity Analyst

Professional Cybersecurity Analyst — Detection, investigation and incident response

A complete professional pathway for detecting, qualifying, investigating and helping respond to cybersecurity incidents.

15 courses · 150 lessons
from 24,90 € View courses →

Learning path preview

Data Analyst

View courses →

01 Level 1

Understand the Data Analyst role and frame a decision

Adopt a professional Data Analyst mindset and turn a business request into a measurable analytical question.

Understand the Data Analyst role in the organization and how it works with business teams Define the respective responsibilities of business teams, the Data Analyst, Data Engineer, Data Scientist, and data governance Run a business scoping interview: decision to support, users, metrics, scope, constraints, and a measurable analytical question Distinguish the stated request, the underlying problem, and the decision that needs support +6 more lessons

02 Level 1

Understand, structure and assess data

Read a dataset’s structure, understand its origin and assess its quality before starting any analysis.

Understand the data lifecycle: collection, storage, transformation, use, and retention Identify dimensions, measures, identifiers, dates, and the grain of a dataset Distinguish business identifiers, technical keys, and composite keys Determine a table’s grain and detect changes in granularity +6 more lessons

03 Level 1

Analyze with Excel, descriptive statistics and visualization

Explore a dataset, validate calculations and communicate an initial conclusion using Excel and appropriate visualizations.

Turn an Excel range into an analysis-ready table and validate data types Use core Excel calculations to check and explore data Use logical, conditional, and error-handling functions Use lookup functions to match and reconcile data +6 more lessons

Learning path preview

Data Scientist

View courses →

01 Level 1

Problem framing and working environment

Understand the Data Scientist role, turn a business issue into a modeling problem, and set up a reproducible working environment.

Understand the Data Scientist role and distinguish analysis, prediction, causality, and optimization Turn a business challenge into a target variable, unit of analysis, and success criterion Set up a reproducible Python environment with notebooks, environments, and dependencies Work with arrays and data structures using NumPy and pandas +6 more lessons

02 Level 1

Data quality and statistical reasoning

Identify data-quality issues and use the statistical and probabilistic foundations required for a Data Science project.

Identify missing data, outliers, measurement errors, and collection bias Understand samples, populations, variance, uncertainty, and confidence intervals Revisit conditional probability, independence, and Bayes’ theorem through business cases Understand covariance, correlation, and the limits of interpretation +6 more lessons

03 Level 1

Experimental protocol and baseline

Build a rigorous experimental protocol and establish a first reference baseline before moving to more complex models.

Correctly separate training, validation, and test data Understand overfitting, underfitting, and the bias–variance trade-off Build a baseline before training complex models Choose an evaluation metric aligned with the business cost of errors +6 more lessons

Learning path preview

Cybersecurity Analyst

View courses →

01 Level 1

Network, system and identity foundations

Understand the technical, network and identity environment required to analyze security events.

Understand the role of the Cybersecurity Analyst, the SOC and incident response teams Map assets, users, data, flows and critical dependencies across an information system Understand the TCP/IP model, ports, protocols and network flows used in investigations Read a DNS resolution and identify the traces left by network communication +6 more lessons

02 Level 1

Attack mechanisms, vulnerabilities and log sources

Recognize common attack mechanisms and identify the logging sources available for security analysis.

Identify the main Windows and Linux security components Understand vulnerability, exposure, threat, risk, exploit and security control Recognize phishing, credential theft, malware, ransomware and lateral movement Understand attack phases using a tactics-and-techniques framework +6 more lessons

03 Level 1

Event interpretation and evidence

Interpret security events rigorously and apply sound evidence collection and preservation principles.

Read a security event and distinguish fact, context, hypothesis and conclusion Understand indicators of compromise and their limitations Apply evidence-collection and integrity-preservation principles Build an initial criticality matrix to prioritize alerts and incidents +6 more lessons

View full catalogue →