Data Science / AI Bootcamp

Our Data Science / AI Bootcamp constitutes the first
half of our Java Developer Bootcamp


  • You should be on the level of our Intro To Programming Course before entering this Bootcamp. The Intro To Programming Test will indicate if you need to the Intro To Programming Course first.

Who will benefit

  • School leavers intending to get into the job market


  • Attendance : If you have attended 80% of the sessions and completed all the class work, you qualify for the Attendance Certificate.
  • Competency : If you have also completed all the practical projects as described the Outcomes section, you qualify for the Competency Certificate.

Bursaries / Loans available


What you will learn

  • Mastered SQL and gained the competencies as noted in the SQL Module.
  • Mastered Python and gained the competencies as noted in the Python Module.
  • Mastered React and gained the competencies as noted in the React Module.
  • Putting everything together to build full-stack apps with a React Front-End and a Python or any API Back-End
  • Use Git / Github as a collaboration and software tracking tool
  • Develop various apps utilising popular API's or your own Python Backend and Databases like MySQL, Firebase
  • Mastered Full-Stack Python and popular Data Science Libaries
  • Mastered Python Data Science best practises and Applications
  • Mastered Python Machine Learning with Scikit-Learn, Keras, and TensorFlow
  • Putting everything together to build Data Science and AI Solutions in required by industry

What do I need?

  • A laptop with at least 8Gb RAM, and a STABLE internet connection, the recommended minimum speed is around 10 Mbps, an extended monitor
  • Live Online Training: A workspace at home which is quiet and without distractions
  • Classroom Training : We have resumed classroom training complying with strict social distancing guidelines, even smaller classes as before
  • Full-time or part-time : If you are employed and want to do it part-time, yes we do have part-time classes
  • Classroom Training : Always on in Woodmead (Adhering to Covid guidelines - ventilated rooms, no air conditioners on)

Part One

Python Full-Stack

Apply your Python knowledges into more practical applications like games, business intelligence and web applications.

Build practical skills in various Python applications

Part Two

Data Science with R

Master the most popular data science libraries and applications

Build practical skills in various Data Science applications

Part Three

Machine Learning / AI

Master the most prominent skills in Python Machine Learning like Scikit-Learn, Keras, and TensorFlow

Learn Techniques to Build Intelligent Systems

Part Four

Job Prep

During this phase we build our portfolios even more by doing more projects and interview-grade apps.

We also apply for jobs and prepare for interviews at Code College Clients

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