CS109
Intro to Programming 3: Python
Faculty
Andrey Danilov
CTO at Fit Mentor
Course length
Duration
Total hours
Credits
Language
Course type
Fee for single course
Fee for degree students
Skills you’ll learn
Overview
This course explores advanced Python concepts, with a strong focus on backend development, modern AI integration, and practical deployment skills. Students begin by deepening their understanding of Python internals, concurrency, and asynchronous programming. Building on this foundation, the course introduces FastAPI for modern web services, database integration, and design patterns for scalable systems.
Learning highlights
- Grasp Python internals, concurrency, and async programming
- Build modern APIs with FastAPI and database integration
- Apply design patterns and clean architecture in Python projects
- Deploy with Docker and set up basic CI/CD pipelines
- Implement logging, monitoring, and observability
- Integrate AI agents into backends
- Use Python for data analysis and scientific computing
- Deliver a complete backend project from design to deployment
Course outline
15 classes
Session 1
Introduction & Python Recap.
Course overview, expectations, and project outline.
Session 2
Python Internals.
Objects, Memory & Execution.
Session 3
Concurrency & the GIL.
Session 4
Async Python & Event Loops.
Async/await deep dive, asyncio tasks, futures, and event loop mechanics.
Session 5
FastAPI Foundations, Pydantic.
Building APIs with FastAPI: routing, request/response models.
Session 6
Databases.
SQL, ORMs (SQLAlchemy), async DB calls, migrations, NoSQL.
Session 7
Docker & CI/CD Basics.
Session 8
Practice Session 1.
Hands-on: implement a small API using FastAPI.
Session 9
Design Patterns & Architecture.
Structuring large codebases.
Session 10
Metaprogramming.
Session 11
Python for Data & Scientific Work.
Numpy, pandas, polars, plotting.
Session 12
AI Agents & Modern Python Applications.
Building small agents with APIs.
Session 13
Practice Session 2.
Session 14
Logging & Observability in the Cloud.
Session 15
Final Project Presentations.
Methodology
Students will learn through a combination of lectures and practical work. A course project will run throughout most of the programme. At the end of each session, time will be allocated for me to support students in progressing with their projects. Topics that are not covered within the project will be practised through homework assignments.
Grading
Andrey is a seasoned software engineer with primary expertise in backend and AI development. His experience comes from both big tech companies such as Microsoft and Amazon, and as fast pace startups, so he adopted best development practices across various working environments.
Andrey is using Python daily for backend and AI applications and will be sharing his insights in this course.
See full profileApply for this course
Intro to Programming 3: Python
by Andrey Danilov
Total hours
45 Hours
Dates
Mar 16 - Apr 03, 2026
Fee for single course
€1500
Fee for degree students
€750
How to secure your spot
Complete the form below to kickstart your application
Schedule your Harbour.Space interview
If successful, get ready to join us on campus
FAQ
Will I receive a certificate after completion?
Yes. Upon completion of the course, you will receive a certificate signed by the director of the program your course belonged to.
Do I need a visa?
This depends on your case. Please check with the Spanish or Thai consulate in your country of residence about visa requirements. We will do our part to provide you with the necessary documents, such as the Certificate of Enrollment.
Can I get a discount?
Yes. The easiest way to enroll in a course at a discounted price is to register for multiple courses. Registering for multiple courses will reduce the cost per individual course. Please ask the Admissions Office for more information about the other kinds of discounts we offer and what you can do to receive one.