What you’ll learn
A carefully curated curriculum designed to take you from ‘just curious’ to confidently working with data science & AI tools and workflows in as few as 12 weeks full-time (or 24 weeks part-time).
Foundation
SQL, Python, Jupyter Notebook, Git and GitHub, Linear Algebra, Probabilities and Statistics.
Data Analytics
Data Analysis, Data Preparation, Data Visualisation and Data Exploration.
Classic Machine Learning
Machine Learning, Supervised and Unsupervised learning, ML model enhancement, Naive Bayes, SVM, Random Forests, ML Pipelines and Classification.
Deep Learning
Neural Networks (implementation, troubleshooting & optimisation), CNN Architectures, Autoencoder Architecture, Data Augmentation, Tensorflow, Keras and Scikit-Learn.
Natural Language Processing
Text coding for NLP, Recurrent Neural Networks (RNN), LSTM, Attention Mechanisms, Transformer Model and chatbot building.
Our methodology
Live online learning
- Learn through interactive live sessions where you can engage directly with instructors and peers in real time — ideal for collaboration and fast skill-building.
Self-study
- Part-time: 9 hours live learning + 11 hours self-study (20 hours total per week)
- Full-time: 22.5 hours live learning + 17.5 hours self-study (40 hours total per week)
Flipped classroom
- Use a flipped classroom approach: review core concepts independently, then apply them during live sessions through discussion, labs and guided exercises.
Guided practice
- Build confidence through hands-on exercises and portfolio projects, with structured guidance to help you apply what you learn.
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 assume no prior knowledge and will guide you through the fundamentals in the first few weeks, helping you build a strong foundation. Whether you’re new to the field or upskilling for a more technical role, the program is designed to help you progress quickly and confidently.
- 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 to follow the courses comfortably.
- English Proficiency: Intermediate English (roughly CEFR B1) to understand technical materials and communicate effectively in class.
- 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
Short sessions for you and the wider CLA community. Get a taste of what our Career Services Centre offers, meet our careers adviser, and drop in for last-minute résumé updates.
Personalised career coaching (1:1)
Structured sessions to clarify your goals and create an action plan — whether you’re aiming for progression in your current role, moving into a more technical position, or exploring new opportunities.
Mock interviews
Practise common behavioural and technical interview questions, learn how to highlight your strengths, and get guidance on salary conversations and negotiation — tailored to the hiring process you’ll meet in Australia.
Résumé and cover letter reviews
Get practical, personalised feedback on your résumé and cover letter to help you stand out to recruiters and hiring managers.
Job and internship round-up
A curated selection of opportunities shared by our career team, focused on junior and entry-level roles where available — plus pathways for upskilling into more technical responsibilities.
Career resources platform access
Access career materials, assignments and tech industry resources through our learning platform — including templates and guides you can reuse.
Professional guidance and networking events
Meet tech professionals, ask questions about real roles, and connect with other learners through Career Chat events and guest sessions.
Alumni networking
Stay connected with your cohort and CLA alumni to share resources, insights, and job leads — and keep learning from one another.
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.