What You’ll Learn
A structured, project-based curriculum designed to build Data Science & AI skills—from Python and SQL to machine learning—in as few as 12 weeks (full-time) or 24 weeks (part-time).
Foundation
SQL, Python, Jupyter Notebook, Git and GitHub, linear algebra, probability and statistics
Data Analytics
Data analysis, data preparation, data visualisation and data exploration
Classical Machine Learning
Supervised and unsupervised learning, model improvement, Naive Bayes, SVM, Random Forests, ML pipelines and classification
Deep Learning
Neural networks (implementation, troubleshooting & optimisation), CNNs, autoencoders, data augmentation, TensorFlow, Keras and scikit-learn
Natural Language Processing
Text processing for NLP, RNN/LSTM, attention mechanisms, transformers, and chatbot building
Chapter 0: Pre-Work
Data Science & AI skills are increasingly valuable across industries—from building better products to making smarter decisions with data. In this chapter, we’ll cover the foundations you need to begin: Python and SQL basics, core maths concepts, and a practical workflow you’ll use throughout the bootcamp.
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 focuses on the curve fitting problem: finding the best curve equation to fit a given dataset. It’s divided into sections that help you practise key foundations such as OOP, SQL, linear algebra, and the end-to-end machine learning workflow.
Learning Schedule (Irish time, GMT/IST)
From Monday to Friday 9:30am to 3:30pm
Lecture Session
9:30am - 11:00am
Lecture Session
11:30am - 1:00pm
Hands-on Session
2:00pm - 3:30pm
Our Methodology
Online Live Learning
- Join interactive live online sessions where you can collaborate with peers and get real-time support from instructors (scheduled in Irish time, GMT/IST).
Self-study
- Part-time: 9 hours live learning, 11 hours of self-study (20 hours per week)
- Full-time: 22.5 hours live learning, 17.5 hours of self-study (40 hours per week)
Flipped Classroom Method
- Learn key concepts through guided materials, then use live sessions for discussion, problem-solving and hands-on application.
Guided Practice
- Build skills through practical exercises and project work, with regular feedback to help you improve and grow a portfolio you can be proud of.
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 don’t need any prior qualifications in computer science or programming to join our bootcamp. We start with the essentials and support you through the pre-work and live modules, so you can build confidence quickly. Whether you’re new to data or upskilling into Data Science & AI, you’ll be guided throughout the programme.
- Laptop or Computer: A reliable laptop or desktop computer with sufficient processing power and capable of running necessary programs.
- Stable Internet Connection: Reliable internet access for live learning sessions, hands-on labs, and assignments.
- Basic Computer Literacy: Ability to navigate operating systems, productivity software, and internet browsers.
- Basic Knowledge in Algorithmics and Programming: Familiarity with programming concepts will help you follow the course more comfortably (we provide pre-work to get you started).
- English Proficiency: B1 level with the ability to understand technical materials and communicate effectively, as the bootcamp is conducted in English.
- Commitment to Learning: A proactive attitude toward learning and practising coding, especially during the pre-unit to establish a solid foundation for continuing in the bootcamp.
Career Services Centre
Career Development Workshops
Practical sessions for you and the wider CLA community. Explore what our Career Services Centre offers, meet our careers advisors, and drop in for last-minute CV polish or interview prep.
Personalised Career Guidance (1:1)
Structured 1:1 sessions to clarify your goals and build a plan—whether you’re aiming for a first role in tech, progressing in your current job, or transitioning into a new specialism.
Mock Interviews
Practise common interview questions and learn how to communicate your strengths, talk about projects, and navigate salary expectations and negotiation.
CV & Cover Letter Reviews
Get tailored feedback on your CV and cover letter to help you stand out to recruiters and hiring managers—and better reflect the skills you’ve built.
Job & Internship Round-Up
Curated opportunities shared by our career team, including roles suited to junior applicants and learners building their first tech portfolio.
Career Resources Platform Access
Access career templates, exercises, and guidance materials in our platform—covering applications, interviews, portfolios and the tech hiring process.
Professional Guidance & Networking Events
Meet industry professionals, hear real career stories, and ask questions in our community events—plus opportunities to connect with other learners and alumni.
Alumni Networking
Stay connected with your cohort and alumni community to share resources, discuss industry trends, and pass along relevant job opportunities.
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.