What you’ll learn & build
A hands-on Data Science & AI curriculum for learners in Italy—taught live in CET/CEST. You’ll cover analytics, machine learning, deep learning, NLP, and deployment in 12 weeks full-time or 24 weeks part-time.
Foundation
SQL, Python, Jupyter Notebook, Git/GitHub, linear algebra, probability and statistics
Data Analytics
Data preparation, exploration, visualisation, and communicating insights clearly
Classic Machine Learning
Supervised + unsupervised learning, ML pipelines, classification, and evaluation
Deep Learning
Neural networks, CNNs, optimisation, and hands-on work with TensorFlow/Keras
Natural Language Processing
Text processing, transformers, and building applied NLP systems (including chatbots)
Chapter 0: Pre-Work
Before the bootcamp begins, you’ll revisit the foundations that power Data Science & AI: Python, SQL, Git, and core maths. The goal is to build a shared baseline so you can move faster once we start analytics, machine learning, and deep learning.
Introduction to Python
- Python Language And History
- The Basics Of Python
- Fundamental Data Structures In Python
- Classes And Objects
- Modules And Packages
- Input/Output
- Errors And Exceptions
Environments
- Python Environments
- Anaconda
- Jupyter Notebooks
SQL and Databases
- SQL Fundamentals
- SQL Queries
Linear Algebra
- Scalars And Vectors
- Matrices
- Norms
Git and GitHub
- Introduction to Version Control
- Workflow
- Inspecting Repositories
- Undoing Changes
- Fetching And Pulling Changes
- Pushing Changes
Project: Curve Fitting
- This project is about solving the 'Curve fitting' problem, which involves finding the best curve equation to fit a given dataset. It will guide you through an example of this problem and is divided into sections, where each section will exercise the use of fundamental concepts such as OOP, SQL, Linear Algebra, and the final Machine learning workflow.
Learning Schedule (Rome time, CET/CEST)
Monday to Friday, 09:30–15:30
Live lecture
09:30–11:00
Live lecture
11:30–13:00
Hands-on session
14:00–15:30
Our Methodology
Online Live Learning
- Join interactive live sessions where you learn directly with instructors and peers in real time. For the Italy site, cohort schedules and support are aligned to Rome time (CET/CEST) whenever possible.
Self Study
- Part-time: 9 hours live learning + 11 hours guided/self-study (20 hours per week)
- Full-time: 22.5 hours live learning + 17.5 hours guided/self-study (40 hours per week)
Flipped Classroom Method
- You’ll learn actively: prepare with curated materials, then use live time for practice, feedback, and problem-solving—so concepts stick and skills become usable.
Guided Practice
- Practice is built in. You’ll work on hands-on exercises and portfolio projects with guidance, code/design reviews, and clear checkpoints—so you graduate with work you can show, not just topics you’ve “covered.”
Prefer to learn at your own pace?
Learn with our On-demand Data Science & AI course at your own pace with complete flexibility through our immersive, self-paced program. Master how to transform raw data into powerful insights, train intelligent models, and build real-world AI applications and graduate ready to launch your career in the world of data-driven innovation.
What You’ll Need
You can join without a formal tech background. If you’re upskilling into data work, analytics, or AI, we’ll help you build strong foundations and progress into machine learning and deployment. The bootcamp is taught in English and live sessions are aligned to CET/CEST for learners in Italy.
- Laptop or Computer: A reliable laptop or desktop computer with sufficient processing power to run notebooks and common data tooling.
- Stable Internet Connection: Reliable internet access for live learning sessions, hands-on labs, and assignments.
- Basic Computer Literacy: Comfort navigating your operating system and using productivity tools and browsers.
- Basic Programming Concepts (recommended): Helpful for following the course comfortably. If you’re starting from scratch, plan to spend extra time on the pre-work to build momentum.
- English Proficiency: B1 level or higher to follow technical materials and communicate effectively (the bootcamp is conducted in English).
- Commitment to Learning: A proactive attitude toward practice—especially during the pre-work—to establish a solid base for the bootcamp.
Career Services Center
Career & Skills Workshops
Open sessions for learners in Italy and the wider CLA community. Get hands-on guidance, quick CV/LinkedIn tune-ups, and a clear view of how our Career Center supports your goals.
1:1 Coaching Sessions
Structured sessions to clarify direction and build a plan—whether you’re targeting internal mobility, a new role, freelance opportunities, or simply stronger performance in your current job.
Mock Interviews
Practice behavioural and technical interview questions, learn how to communicate impact, and get comfortable discussing projects, teamwork, and compensation expectations.
CV, LinkedIn & Cover Letter Reviews
Actionable feedback tailored to your target roles—so recruiters (and hiring managers) quickly understand your strengths, projects, and tech stack.
Job & Internship Round-Up
Curated opportunities shared by our team. We focus on realistic entry-level roles and junior-friendly listings, plus pathways that can support upskilling (including internships and traineeships when available).
Career Resources Hub
Access templates, checklists, assignments, and industry resources—so you can keep improving even after the bootcamp ends.
Mentorship & Networking Events
Meet professionals across Europe (including Italy) to learn how teams work, ask questions, and grow your network through career chats and community sessions.
Alumni Community Networking
Stay connected with classmates and alumni: share resources, swap feedback, and circulate openings and referrals that may be relevant for learners based in Italy.
Why Choose Code Labs Academy?
1-to-1 Career Coaching
Personalised support from career specialists: CV and LinkedIn refresh, mock interviews, and a tech-focused job-search strategy.
Portfolio-Ready Projects
Graduate with a GitHub-ready portfolio of real-world projects—built in class and polished with mentor feedback.
Industry-Driven Curriculum
Curriculum refreshed every quarter to match current hiring needs in AI, cybersecurity, and web development.
Recognised Certificate
Showcase your AZAV-accredited Code Labs Academy certificate on LinkedIn, your CV, and visa applications.