---
title: Applied Machine Learning | Pellam Institute (Almanac demo)
description: Build, evaluate and ship models responsibly, from feature engineering to monitoring in production.
---
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# Applied Machine Learning
Build, evaluate and ship models responsibly, from feature engineering to monitoring in production.
[See dates and enrol](https://www.airdatethemes.com/programmes/applied-machine-learning#dates) [Download the syllabus](https://www.airdatethemes.com/programmes/applied-machine-learning#syllabus)
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Overview
## What you will be able to do
Fourteen weeks, part-time and online. You build, evaluate and ship a model on a real dataset, and learn what it takes to keep it working and fair once it is in production.
- Prepare features that models can use
- Choose and evaluate models honestly
- Ship a model behind a simple service
- Monitor drift and bias in production
Next start
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[Enrol for this date](https://www.airdatethemes.com/programmes/applied-machine-learning#enrol) About the programme
No date is open for enrolment right now.
Curriculum
## Fourteen weeks, four units
4 modules 140 hours of teaching
1. Weeks 1–3 Data and features 30 h
- Exploring a dataset
- Feature engineering
- Leakage and how to avoid it
OutcomeYou will prepare a clean training set.
2. Weeks 4–7 Models and evaluation 40 h
- Linear models and trees
- Cross-validation
- Metrics that match the decision
OutcomeYou will compare models and justify a choice.
3. Weeks 8–11 Shipping 40 h
- Packaging a model
- A small prediction service
- Testing models like code
OutcomeYou will deploy your model behind an API.
4. Weeks 12–14 In production 30 h
- Monitoring and drift
- Fairness checks
- Final project review
OutcomeYou will present a model that runs and is monitored.
Dates
## Choose your date
Each date has its own place, schedule and seats. The early-bird price ends by itself.
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**No dates are planned yet.**
Leave your email below and we will write as soon as the next dates are set.
Tuition
per person, all taxes included
[Enrol](https://www.airdatethemes.com/programmes/applied-machine-learning#enrol)
- All live classes and their recordings
- Feedback on every project from a working analyst
- Two career coaching sessions
- Professional certificate
Pay in full, in 3 monthly instalments, or ask us to invoice your employer.
**Funding:**
Instructors
## People who do the work, then teach it
- AO
### Amara Osei
Lead, Data & AI
Nine years as an analyst in retail and public health. Designed our SQL and Python programme and still teaches the SQL weeks.
- SQL
- Python
- Statistics
- JB
### Jonas Brandt
UX researcher, Berlin
Runs research for a public transport app used by two million people. Teaches interviews and usability testing on campus in Berlin.
- Interviews
- Usability testing
- Synthesis
- PR
### Priya Raman
Product lead
Led product teams at two fintech companies in London and Toronto. Brings a real product brief to every cohort.
- Discovery
- Roadmaps
- Prioritisation
- DO
### Daniel Okafor
Leadership coach
Former engineering manager, now a coach for first-time managers. Hosts the one-to-one and feedback sessions.
- One-to-ones
- Feedback
- Delegation
Students
## In their words
- > I already used spreadsheets every day. The SQL weeks changed how I work: I now pull my own numbers instead of waiting two days for them.
SM Sofia Marin Data analyst, now at a logistics company Data Analysis with SQL and Python, 2026
- > Day three, we tested our prototype with real participants. It was uncomfortable and it was the most useful day of the week.
TN Tomasz Nowak Product designer, Berlin UX Research in Practice, 2025
- > I came for the frameworks and stayed for the other managers in my group. Eight of us still meet once a month.
GA Grace Adeyemi Engineering manager, Toronto New Manager Programme, 2025
## Download the full syllabus
Twelve pages: every week, every project, the tools you will use and what past students built.
PDF · 12 pages · 2.4 MB
[Download the PDF](https://www.airdatethemes.com/hubfs/airdate-demo/almanac/almanac-sample-syllabus.pdf?hsLang=en)
Questions
## Before you enrol
Still unsure? [Write to an advisor](https://www.airdatethemes.com/contact?hsLang=en): we answer within one working day.
### Enrolment and funding
How do I enrol?
Pick a date on the programme page and fill in the application form. An advisor calls you within two working days to check the programme fits. You then confirm your seat with a deposit.
Can my employer pay for the programme?
Yes. Most of our students are funded by their employer. We can send an invoice, accept a purchase order, and give you a syllabus and a training agreement for your manager.
Ask your advisor for the employer pack.
Can I get a refund?
You get a full refund if you cancel up to 14 days before the start date. After that, we refund half the fee until the end of the first week, or move you to a later cohort at no cost.
### During the programme
How many hours a week should I plan for?
About ten hours a week for part-time programmes: two live evening classes, plus exercises in your own time. On-campus days in London, Berlin and Toronto are listed with each date.
What if I miss a class?
Every live class is recorded and posted the same evening. Watch it, do the exercise, and bring your questions to the weekly office hour. If you miss more than three classes, we can move you to the next cohort.
Do I get a certificate?
Yes. You receive a Pellam Institute certificate when you attend at least 80% of the classes and hand in the final project. It lists the hours and the skills covered.
## Enrol
Pick a date, leave your details, and an advisor confirms your seat within one working day. Nothing to pay yet.
Questions first? [Read the FAQ](https://www.airdatethemes.com/programmes/applied-machine-learning#faq) or book a 15-minute call with an advisor.
Choose your date
No date is open for enrolment right now. Leave your details and we will write when the next one opens.
Keep exploring
## Other programmes
No programme matches these filters.
[Enrol](https://www.airdatethemes.com/programmes/applied-machine-learning#enrol)
## All programmes
Data & AI
- [Data Analysis with SQL and Python](https://www.airdatethemes.com/programmes/data-analysis-sql-python?hsLang=en)
- [Applied Machine Learning](https://www.airdatethemes.com/programmes/applied-machine-learning?hsLang=en)
- [Analytics for Managers](https://www.airdatethemes.com/programmes/analytics-for-managers?hsLang=en)
- [Excel for Analysts](https://www.airdatethemes.com/programmes/excel-for-analysts?hsLang=en)
Product & Design
- [Product Management Foundations](https://www.airdatethemes.com/programmes/product-management-foundations?hsLang=en)
- [UX Research in Practice](https://www.airdatethemes.com/programmes/ux-research-in-practice?hsLang=en)
- [Service Design Sprint](https://www.airdatethemes.com/programmes/service-design-sprint?hsLang=en)
Leadership
- [New Manager Programme](https://www.airdatethemes.com/programmes/new-manager-programme?hsLang=en)
- [Negotiation Masterclass](https://www.airdatethemes.com/programmes/negotiation-masterclass?hsLang=en)
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