AI Fundamentals Program

Eight weeks.
Artificial intelligence
from the ground up.

This program covers how AI systems are actually built - the data, the models, the tradeoffs. It is designed for people with no machine learning background who want a technically honest starting point.

Live AI webinar session with participants engaging in real-time discussion
6 Modules
16 Live sessions
8 Weeks
Program structure

Six modules, each building on the last

The sequence matters: each module introduces concepts used in the next. By session 8, participants are reading and discussing real research papers because they have the vocabulary to do so.

The program runs as live webinars twice a week, with a dedicated Q&A block in each session. Experts answer questions directly rather than through a forum thread answered three days later.

Participants who complete all 6 modules and submit a final project receive a digital certificate. Roughly 71% of people who start the program finish it, higher than typical online course completion rates, partly because the live format creates accountability.

  • How Machine Learning Actually Works

    Training, loss functions, overfitting. What the model is doing when it "learns" - explained without skipping the math.

  • Neural Networks and Deep Learning

    Layers, activations, backpropagation. Why depth matters and where it stops helping.

  • Natural Language Processing

    Tokenization, embeddings, transformers. How a model reads a sentence - and why that framing is already a simplification.

  • Computer Vision Basics

    Convolutional networks, image classification, object detection. What the model sees versus what you think it sees.

  • AI Ethics and Practical Limits

    Bias, fairness metrics, and the gap between benchmark performance and real-world deployment. Specific cases, not abstractions.

  • Building Your First AI Pipeline

    Data prep, model selection, evaluation, iteration. A guided project using a real dataset - participants choose the problem.

Depth

Core theory explained at a level where you can read documentation without a translator.

Practice

Every module includes a hands-on exercise using Python notebooks - no setup required on your end.

Interaction

Live Q&A in each session, with questions answered by the instructor rather than a teaching assistant reading from notes.

Pacing

2 sessions per week keeps momentum without requiring more than 4–5 hours of total time weekly.

Who teaches and who attends

Instructors with active research backgrounds

The 4 instructors work full-time in AI research or applied engineering. Teaching is not their primary job.

Portrait of Théodore Wajnberg, AI Research Instructor

Théodore Wajnberg

Machine Learning Research

Focuses on model interpretability. Teaches modules 1 and 2. Has published 9 papers on neural network behavior in low-data regimes.

Portrait of Sylviane Okafor, NLP and Language Models Instructor

Sylviane Okafor

NLP and Language Models

Works on multilingual transformer fine-tuning. Leads module 3. Particularly good at explaining why tokenization decisions matter in practice.

Portrait of Remi Czajkowski, Computer Vision Instructor

Remi Czajkowski

Computer Vision Engineering

Builds vision systems for industrial inspection. Teaches module 4. Brings real deployment constraints into every session, not just benchmark results.

Portrait of Amara Lefebvre, AI Ethics and Applied AI Instructor

Amara Lefebvre

AI Ethics and Applied AI

Advises organizations on responsible AI deployment. Teaches modules 5 and 6. Known for making the ethics module the one participants cite most often afterward.

Common questions about the program

  • Do I need a programming background to join?

    No prior coding experience is required. Python basics are introduced in the first 2 sessions, and all notebooks are pre-configured so there's no environment setup on your end.

  • How many live sessions per week?

    Two sessions per week, each running approximately 75 minutes. All sessions are recorded and available for replay within 24 hours of broadcast.

  • What if I miss a live broadcast?

    Every session is recorded. You can submit questions in advance and receive written answers within 48 hours through the program's messaging system.

  • Is there a certificate at the end?

    Participants who complete all 6 modules and submit the final project receive a digital certificate from istoclaide confirming completion of the AI Fundamentals program.

Full program access - 8 weeks

16 live sessions, all recordings, instructor Q&A, hands-on notebooks, and final project review included.

390 € one-time payment