Junior Pro - Vocational training Data & AI for Business Junior Pro | AI & DATA ANALYTICS duration Part-time
In the 2025 business landscape, Artificial Intelligence (AI) and robotics are radically reshaping production, decision-making and logistics processes, becoming indispensable tools for competing in an increasingly digital, hyper-competitive global market. The convergence of AI, data analytics and robotic systems allows companies not only to streamline operations but also to generate new value through smart automation and predictive management. Rapid adoption of AI-driven business-intelligence, data-visualisation and applied-robotics solutions is opening previously unthinkable scenarios in manufacturing, logistics, healthcare, security and services.
Yet many Italian SMEs still struggle to implement these technologies because of a shortage of skilled talent. Only 4.7 % have launched concrete AI projects and an even smaller share has integrated robots into their workflows.
Against this backdrop, advanced up-skilling in AI, data analysis, machine learning and robotics becomes a strategic lever for closing the gap and driving digital transformation. Building cross-disciplinary expertise is no longer optional: it is essential for staying competitive. Professionals trained in these domains can deploy AI-driven automation, support strategic decision-making, master the fundamentals of modern robotics and lead concrete digital-transformation initiatives—skills that the labour market is demanding with ever-greater urgency.
Main Contents
MODULE 1 | Computer Science Foundation
Goal: To provide participants with the foundational computer science knowledge (networking, Linux basics, relational databases, SQL,Python programming) essential for understanding and fully benefiting from the topics covered in subsequent modules.
MODULE 2 | Python 4 Beginners
Goal: This unit offers an introduction to programming with Python, starting from the basics. You'll cover object-oriented programming paradigms, reserved words, syntax, statements, lists, sets, dictionaries, comprehensions, operators, functions, packages, classes, exceptions, lambda functions, basic external modules, advanced data types, advanced modules, mathematical and scientific modules, input/output, file writing, exceptions, errors, and debugging.
MODULE 3 | Data Science with Python
Goal: You'll learn to use the main Python-based libraries dedicated to data management: NumPy for mathematical and statistical operations, Pandas for dataset management, Matplotlib for creating graphs, and Seaborn for exploratory analysis.
MODULE 4 | Machine Learning with Python
Goal: An introduction to machine learning and artificial intelligence, covering types of algorithms and problems, supervised and unsupervised methods, semi-supervised methods, clustering, and an introduction to neural networks.
MODULE 5 | Business Intelligence
Goal: This module offers practical training in using Excel and Power BI for Business Intelligence, transforming raw data into strategic tools for decision-making. With Excel, participants will learn advanced techniques for analyzing data, creating pivot tables, using advanced functions, and developing interactive reports. With Power BI, they'll learn to connect and integrate data from various sources, build intuitive dashboards, and create interactive visualizations to represent business trends and KPIs. Finally, you'll discover how AI assistants simplify and enhance data analysis: automating complex operations, generating intelligent visualizations, and offering immediate insights through natural language, significantly improving your productivity.
MODULE 6 | Robotics ( New for 2025!)
Goal: An introduction into the fundamental concepts of modern robotics, exploring the structure, function, and applications of mobile robots and manipulators. Through theory and simulations, participants will understand the principles of design, sensors, actuators, and programming environments for autonomous and industrial robotics.
MODULE 7 | Certifications
- EXIN Artificial Intelligence
- EXIN Data Analytics
Request a one-on-one interview to learn more about each teaching unit.
International Certifications
Since 2019, Geeks Academy has been an accredited EXIN training provider and examination center.
This course will give you the possibility to sit the exam to obtain the international certification
- EXIN Data Analytics Foundation
- EXIN Data Analytics
Who is this course aimed at?
Thanks to the presence of basic teaching units, the course is accessible to a wide range of participants, whether they already have skills in computer science or not. Being motivated and having a keen curiosity about the world of data analysis and digital technology in general represent a preferential requirement for admission.
What will you gain from this course?
At the end of this course, you will have acquired a Junior profile in Data Science, with a specific focus on the technologies highlighted in the content area. More specifically, you will have learned the fundamental languages ??for data analysis (Python and SQL) and you will have mastered some of the most advanced tools in the sector (Excel, Power BI, Pandas, Matplotlib, Seaborn), as well as ready-made ML and AI tools for Python (Scikit, Tensorflow). -finally, you will have learned how to develop chatbots with Python.
Diploma & Certifications
At the end of the course, you will receive:
- certificate of completion “Geeks Academy DIPLOMA”;
- a “DIPLOMA SUPPLEMENT” and the EXIN International Certifications included in your study plan (if you choose to sit the exam, which is not mandatory);
- completion “BADGES” shareable on LinkedIn Licenses & Certifications section.
Furthermore, for those who will attend the bootcamp in Dubai, starting from January 2022 it will be possible to obtain an international diploma recognized by the Emirate of Dubai.
Job Placement & Career Coaching
This course will grant you access to exclusive Career Days with our partner companies and organizations. Besides, for a period of 5 years after the conclusion of the course, you will have the chance to benefit from our Career Coaching service for free.
Over 95% of our graduates have found a job within 3 months since the end of the course!
International Experiences
To our students we offer the possibility to take part in exciting study trips in Dubai, Seoul, Milan, Rome and Singapore, where the hubs of our international network are located. These immersive experiences represent a great way to enrich students’ wealth of knowledge and increase their career opportunities.
Global Alumni Community
By joining this course, you will automatically become a member of the AGA: the Alumni Geeks Academy.
AGA is the community that gathers all our former students in order to offer them support, help them strengthen and develop professional relationships, provide them with networking opportunities and notify them about the latest job offers. The Alumni International Day represents the community’s most important international networking event, as well as a valuable opportunity to keep up-to-date with the latest trends and technologies.
Teaching Arrangements & Technical Equipment
Smart Education Formula
Course delivery mode: synchronous distance learning + optional activities in presence.
The lessons will take place on Saturday and Sunday (10:00-13:00 and 13:45-15:45 CET).
*The hours indicated are intended as academic hours of 50 minutes each.
E-learning Platform
Our flexible approach allows you to study wherever and whenever you want, even if you work and do not have much time.
All lessons are delivered OnlineLive by qualified teachers, and are recorded in real time to give you the opportunity to watch them asynchronously on our e-learning platform, in case you miss one lesson or you want to review some contents. Among other things, on the platform you will also find many useful materials for self-studying, such as self-assessment tests, exercises and exam simulations.
Minimum hardware & software requirements
Notebook: 64-bit dual core on x86-64 CPU | 8GB RAM (4GB for O.S. - 4gb for V.M.)
Softwares: the course includes the use of Open Source Softwares and applications with demonstration versions.
Payment Method
It is possible to choose between two payment options:
• Single solution: in this case, payment must be issued in one single solution before the beginning of the course, and will grant you an additional 5% discount.
• Multiple installments: 50% of the tuition fee must be paid before the beginning of the course, while the remaining 50% will be divided in monthly installments.
The number of places available is limited
Please fill out the form to inquire about our services & promotions and to check the availability.
Reviews
"At the beginning I thought that this program was too hard for my background, but thanks to the weekend formula organized in alternate weekends and to the support of highly qualified teachers, I was able to obtain results that I would never dream of achieving".
(Cristina G.)