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AI Engineering
Foundations

From your first line of code to a model you trained yourself.

Beginner-friendly6 phasesChoose 1 capstone

No prior programming experience is required. Your first Python lesson starts here.

AI Engineering Foundations at StudyPort Academy: Python from scratch, machine learning, neural networks, transformers, and real projects.
Duration
17 weeks
Format
Live cohort, in person with guided lab time
Prerequisites
None. Curiosity and basic comfort with numbers (addition, fractions, and percentages) are enough.

Runs on laptops + cloud GPU (Google Colab/Kaggle). No paid compute required.

This is a complete beginner-to-builder path. You don’t need to know how to code, and you don’t need a math degree. You’ll learn Python from your very first line, then build up step by step to training and fine-tuning real AI models, all on a laptop and free Colab access.

Tools & stack

  • Python
  • NumPy/pandas
  • scikit-learn
  • PyTorch
  • Hugging Face Transformers
  • Colab/Kaggle
  • Gradio/Streamlit
  • Git/GitHub

Explore the complete learning map

Learn it, then try it. Live, in-person sessions include guided lab time. Start with Python and build toward one working AI feature over 17 weeks.

THE LEARNING MAP6 phases
PHASE 01

Learn to Code: Python from Scratch

Weeks 1–3 · Start with your first line of Python. Learn to read, write, run, and debug small programs.

4 topic groups

  • Store values in variables and work with numbers, text, and basic operations.

What you’ll work toward

Understand your model.
Build something useful.

Go from your first Python script to a model you can train, evaluate, and share through a working interface.

Planning your next step

Explore the syllabus. Keep your questions.

Enrollment is not open yet. The course runs for 17 weeks. Cohort dates, fees, venue, and mentor assignments will be confirmed before registration.

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