Advanced - Master Program Master in AI Solutions | AI & DATA ANALYTICS duration
We are living in a time when Artificial Intelligence is profoundly transforming the way businesses operate, innovate, and create value. From process automation and personalized customer experiences to predictive data analytics, AI has become an essential strategic driver of competitiveness.
However, many organizations face a crucial challenge: turning AI’s potential into practical, scalable, and secure solutions that can be effectively integrated into existing systems and workflows. In this context, AI adoption is no longer limited to the cloud but is also expanding to on-premise solutions.
On-premise AI architectures offer significant strategic advantages, particularly for organizations handling sensitive or critical data: greater data control, enhanced privacy protection, reduced risks associated with sharing data with third parties, and easier regulatory compliance (for example, with GDPR). These benefits are complemented by greater operational continuity and the ability to tailor AI solutions to specific business needs.
In this scenario, the role of the AI Solutions Specialist becomes essential. This professional translates business needs into real-world AI projects, manages multidisciplinary teams, and applies Agile methodologies and data-driven approaches. As digital transformation accelerates and generative technologies continue to evolve, demand for experts capable of integrating AI into business processes—both in the cloud and on-premise—is expected to grow exponentially.
The World Economic Forum (WEF) projects that demand for these skills will increase by approximately 82% by 2030.
Course Outline MODULE 1 | IT Fundamentals
This module is the ideal starting point for anyone who wants to explore the world of IT in a simple and structured way. It is designed to provide the foundational knowledge needed to understand and confidently tackle the more advanced topics covered in subsequent modules. You will develop skills in networking, cloud computing, relational databases, and the fundamentals of Python programming.
MODULE 2 | Data Science & Machine Learning with Python
Discover how to transform data into knowledge and value. Learn how to use Python and its most widely used libraries (Pandas, NumPy, and Scikit-learn) to analyze, visualize, and model data. Explore Machine Learning algorithms—including supervised learning, unsupervised learning, and Deep Learning—and develop predictive models ready to be applied to real-world projects.
MODULE 3 | Artificial Intelligence
This module guides participants through a learning journey that starts with the fundamentals of Artificial Intelligence and progresses to understanding and using Large Language Models (LLMs). It explores the theoretical foundations of AI, the main Machine Learning and Deep Learning models, and how Transformers work—the core technology behind modern LLMs.
Through practical sessions, students learn to work with APIs and tokenization, understand the concept of embeddings, and experiment with prompt engineering techniques, which are essential for communicating effectively with generative models. The module concludes with a focus on bias, privacy, and transparency, preparing professionals to design AI solutions that are ethical, secure, and aligned with the requirements of the AI Act.
MODULE 4 | AI Systems Implementation
In this module, participants learn how to transform Artificial Intelligence models into operational, ready-to-use solutions, developing practical skills in model training, fine-tuning, and deployment on local infrastructure. The module provides the expertise needed to build and manage scalable AI systems that can be integrated with enterprise platforms and applications.
MODULE 5 | Governance
This module covers the fundamentals of Artificial Intelligence project governance, providing tools and methods to manage every stage of the development process ethically, effectively, and in compliance with applicable regulations. Participants will explore the European regulatory framework for AI (AI Act) and the General Data Protection Regulation (GDPR), learning how to ensure legal compliance, protect privacy, and promote algorithmic transparency.
MODULE 6 | AI Security
This module introduces participants to the fundamental principles of Artificial Intelligence security, an increasingly critical area for companies and institutions adopting systems based on generative models and advanced algorithms. It explores common AI system vulnerabilities—such as dataset poisoning, adversarial attacks, prompt injection, and model leakage—and teaches techniques to prevent and effectively mitigate these threats.
International Certifications
Since 2019, Geeks Academy has been an accredited venue for the delivery of courses and the conduct of examinations for the EXIN international certifications.
Thanks to this course you will have the opportunity to take the exams for the following certifications:
- EXIN Cloud Computing
- EXIN Privacy & Data Protection
Who is this course aimed at?
The course is designed for:
Project Managers seeking to integrate AI into their workflows.
Programmers aspiring to become AI Engineers.
Anyone looking to pursue a high-demand, high-impact career.
What will you gain from this course?
Course Objectives:
Understand the fundamentals of Artificial Intelligence and digital technologies.
Develop technical skills in Python, Machine Learning, and Cloud Computing.
Design and develop chatbots and AI agents using open-source frameworks.
Implement end-to-end AI solutions.
Diplomas and Certifications
The course awards:
- The "Geeks Academy Diploma".
- The "DIPLOMA SUPPLEMENT", a bilingual document in Italian and English that certifies acquired competencies according to EU standards.
- A "Digital Badge" for course completion, enabled for sharing on LinkedIn in the Licenses & Certifications section, including "Credentials Check" to verify your declared qualifications.
Job Placement & Career Coaching
The course includes priority participation in Career Days, which are job interview sessions with Italian and international partner companies and organizations. The ultimate goal of these interviews is employment, which may involve probationary periods, assisted company training, or project work.
Additionally, for 5 years after course completion, you'll have free access to our active support service for job placement and career advancement. 95% of our graduates found new employment within 3 months of course completion and achieved career advancements within 2 years!
International Experiences
We offer our students exclusive study trips to major international digital transformation hubs like Milan,Singapore, Seoul, and Dubai. These immersive experiences enrich the student's knowledge base and increase career opportunities!
Alumni Community
By enrolling in the course, you'll automatically become part of the AGA: the Alumni Geeks Academy.
The AGA is a community that gathers all our former students to offer support, foster collaborations, and provide benefits related to career coaching and professional networking. The Alumni International Day is the community's most important annual event for updates and international networking.
Teaching Arrangements & Technical Equipment
Formula Smart Education:
Our teaching allows you to easily study where and when you want, even if you work and have little time. The lessons can be held on-site or in a part-time Live Online formula by teachers in presence and are recorded to allow you to watch them again in streaming on our e-learning platform. Classes are scheduled in the evening (e.g., Tuesdays and Thursdays, 21:00–22:40) and/or on weekends (Saturday and Sunday, 10:00–13:20 and 14:10–17:40)*.
The curriculum includes hands-on exercises, virtual labs, and all learning materials. All times refer to 50-minute academic hours.
*UTC+2 (Rome)
E-learning Platform
Our teaching method allows you to study wherever and whenever you want, even if you work and have limited time. All lessons are delivered live online by in-person instructors and are recorded to make them available for later viewing on our e-learning platform – where you'll also find numerous useful resources for individual study and practice!
Basic Technical Requirements
CPU: multi-core i3/i5
RAM: 16GB
OS: Windows 10, macOS, or Linux
Software: Excel 2016 or later
Software: Power BI desktop version (free for Windows OS. macOS or Linux users will need to install a virtual machine running Windows 10 to run Power BI – assistance with virtual machine installation will be provided).
All courses have a limited number of spots available.
Fill out the form to get more information about our services (current promotions, financing options, career coaching & job placement) and to check availability!