Course Objective

Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services.

This is the first of four courses in the Certified Artificial Intelligence Practitioner (CAIP) professional certification. This course is meant as an entry point into the world of AI/ML. You'll learn about the business problems that AI/ML can solve, as well as the specific AI/ML technologies that can solve them. In addition, you'll get an overview of the general workflow involved in machine learning, as well as the tools and other resources that support it. This course also promotes the importance of ethics in AI/ML, and provides you with techniques for addressing ethical challenges.

Ultimately, this course will get you thinking about the "why?" of AI/ML, and it will ensure that your more technical work in later courses is done with clear business goals in mind.

Target Audience

Cybersecurity
Course
Program

1st Module

Introduction to
Cybersecurity concepts
(3 hours)

Eng. José Alegria (Altice)

Cyber Security definition
Importance of security at different layers (from physical to information)
Fundamental information security properties: confidentiality, integrity, availability
Types of vulnerabilities
Types of attacks
Motivations of attackers
Phases of an attack
Attack-Vulnerability-Intrusion (AVI) model
NIST Cybersecurity Framework: Identify, Protect, Detect, Respond, Recover

2nd Module

Identification of assets
and risk concepts
(3 hours)

Prof. Ana Respício (FCUL)

Resources
Information flows and dependencies
Security policies and responsibilities
Risk identification
Risk assessment
Risk analysis
Risk management
Control strategies
Cost-benefit analysis in InfoSec

1st Module

Introduction to
Cybersecurity concepts
(3 hours)

Eng. José Alegria (Altice)

Cyber Security definition
Importance of security at different layers (from physical to information)
Fundamental information security properties: confidentiality, integrity, availability
Types of vulnerabilities
Types of attacks
Motivations of attackers
Phases of an attack
Attack-Vulnerability-Intrusion (AVI) model
NIST Cybersecurity Framework: Identify, Protect, Detect, Respond, Recover

2nd Module

Protection of assets and detection of attacks
(3 hours)

Eng. Paulo Moniz (EDP)

Access control (Authentication, Authorization, Accounting)
Network protection (SSL/TLS, VPNs)
Infrastructure protection (Firewalls, IPS, Antivirus)
Information protection (backups, DLP tools)
Penetration testing
Personnel training
Intelligence gathering systems/OSINT
Vulnerability scanners
Event gathering and monitoring systems (Syslog, NIDS, HIDS)
Event correlation (SIEMs)

3rd Module

Protection of assets and detection of attacks
(3 hours)

Eng. Paulo Moniz (EDP)

Access control (Authentication, Authorization, Accounting)
Network protection (SSL/TLS, VPNs)
Infrastructure protection (Firewalls, IPS, Antivirus)
Information protection (backups, DLP tools)
Penetration testing
Personnel training
Intelligence gathering systems/OSINT
Vulnerability scanners
Event gathering and monitoring systems (Syslog, NIDS, HIDS)
Event correlation (SIEMs)

4th Module

Reaction & Recovery
(3 hours)

Eng. Marcelo Rodrigues (PWC)

Response plans (legal frameworks)
Incident management (CERT/CSIRT teams)
Analysis of incident impacts
Contingency plans
Disaster recovery
Business continuity
Image recovery and communication

5th Module

Cybersecurity Law
(3 hours)

Dra. Magda Coco (VdA)

The importance of the legal dimension
Main legal concepts
Cybersecurity legal and regulatory framework – main trends
The legal impacts of a cyber incident
A strategic approach to cybersecurity regulatory framework (general and sector-specific legislation)