Learning path

Understand how to leverage AI and data science to drive business innovation

ENROLL ANYTIME

Start when you're ready

DURATION

9 months, Online

PRICE

EUR 3650

EUR 2800

CONTENT

4 Courses


Your journey starts with the earliest course available after enrolment.

Learning outcomes

Learning journey

With this learning path, you will gain in-depth training at the intersection of Data Management, Artificial Intelligence, and Data Science, equipping you with the knowledge and skills to operate effectively across these increasingly interconnected domains..

This course offers a thorough preparation across all key disciplines of data management, following the DAMA International framework and the DMBoK 2nd edition

This course explores how to harness AI-powered predictive analytics to uncover trends, generate automated insights, and enhance decision-making, enabling participants to drive strategic impact and gain a competitive advantage.

This course guides you through practical applications of generative AI to streamline data processes, improve quality, and enhance decision-making across real-world data management scenarios.

This course explores how AI-driven predictive analytics is revolutionizing business intelligence, enabling participants to uncover trends, optimize strategies, and enhance operations through automated insights and real-time forecasting.

Why enroll in this course?

Data Management Fundamentals: Essential training to understand the foundations of modern data and analytics best practices.

AI Empowering BI and Data Science: Discover how artificial intelligence enhances insights in business intelligence and data science.

AI for Data Management: Learn how AI transforms and optimises data management processes in real-world, enterprise-level environments.

Hands-On Learning Experience: Practical, real-world training based on a learning-by-doing approach to build skills that stick and scale.

Course overview

Learning experience

Synergy

A learning path where AI, Data Management, and Data Science merge into one powerful, integrated skill set.

AI-Centered

Real-world case studies and practical applications that show how AI can truly support everyday work.

Speed

Just 4 courses to become a master in working with the most cutting-edge disciplines in the data landscape.

Who is it for?

A course of

FIT Academy Professional Education in numbers

Participants in our courses
+ 0 k
Companies Transformed
+ 0

Presence in the UK, Italy, Spain,
Saudi Arabia & South America

Past Participant Profile

Participants of the Professional Certificate Program in Digital Transformation have a wide range of backgrounds, industries, and experiences. This diversity within the cohort guarantees that you’ll engage with like-minded professionals while also gaining fresh insights to tackle your organization’s specific challenges.

Average years of work experience

Top industries

Top functions

Frequently asked questions

This training program offers an innovative learning experience where Data Management, Artificial Intelligence, and Data Science are fully integrated into a cohesive path. The journey concludes with a dedicated focus on data ethics, a topic of growing and critical importance in today’s digital and AI-driven world.

The schedule is flexible, but with proper planning, the specialization can be completed in approximately three months.

Absolutely not. This learning path is designed for anyone with an interest in these topics, regardless of background. It begins with Data Management Fundamentals, which provides all the essential foundational knowledge needed to confidently progress through the following courses.

The three Artificial Intelligence courses each focus on a distinct area: applications in Business Intelligence, Data Management, and ethical considerations. They are highly hands-on and practice-oriented, featuring real-world case studies and practical exercises designed to help you apply what you learn directly to your professional context.

Register now and boost your professional trajectory

Earliest start: Jun 2025