One concept per session
Working through 8 to 12 tightly scoped topics keeps attention focused. Participants come away with something concrete, such as a working understanding of how gradient descent behaves on real data.
Teaching Methodology
How AI learning is structured
Each session at istoclaide focuses on a single concept. Participants spend 90 minutes exploring it in depth with an expert who has worked directly with the topic.
Live & interactive
Three principles behind every session
Pacing matched to the room
Live polling every 20 minutes shows the presenter where the group is. If 40% of participants flag confusion on a term, the session slows down because the data calls for it.
Honest difficulty calibration
Sessions carry a difficulty score from 1 to 5. A score of 3 means you'll need to think hard but won't need a maths degree. The label is reviewed after each cohort and updated if participants consistently disagreed.
Joining a session - what actually happens
Four steps take you from registration to the end of the broadcast. The only automated part is the reminder email sent 24 hours beforehand.
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Pick a session and check remaining places
Each webinar caps at 35 participants to keep Q&A manageable. Once a session fills, a waitlist opens automatically.
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Register and complete payment
Your place is confirmed only after payment. The confirmation email contains the access link - no separate login required on the day.
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Attend the live broadcast
The session runs for 90 minutes. The first 60 are presentation and worked examples; the last 30 are open questions directed at the presenter.
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Access the session notes
A structured PDF summary arrives within 6 hours of the session ending. It covers the key points, code examples used, and 3 to 5 suggested next steps.
Before
def classify(x): if x > 0.5: return
1 return 0 # manual threshold, # no
learning, # brittle on new data
After
model = LogisticRegression()
model.fit(X_train, y_train) pred =
model.predict(X_test) # threshold
learned # from data, # generalises
cleanly
Théodore Vanhoucke
AI Systems, applied ML
"I design each session so the last 15 minutes make the first 15 feel obvious in retrospect."
Aoife Brennan
Data science, neural nets
"Questions during the live session shape what I emphasise - no two broadcasts run identically."
Numbers from the last 12 months of sessions
These figures are drawn from session logs and post-webinar surveys.
38
sessions delivered since founding in 2019
91%
of attendees completed the full 90-minute session
4.1
average difficulty rating reported by
participants
Current methodology sessions
Two live webinars are currently available, with places limited per session by design.
Artificial Intelligence
AI Fundamentals: Core Concepts and Practical Thinking
A structured 8-week course covering the essential mechanics of artificial intelligence, from probability and data representation to model evaluation and real-world application.
Artificial Intelligence
Applied AI Workshop: From Algorithms to Working Prototypes
An intensive 4-day workshop for professionals who need working knowledge of AI tools and methods, not just theory. Hands-on, fast-paced, and built around real decision-making scenarios.