AT-EN Deploying Algorithmic Trading Robots with Python using AI


2 Days


Cohort-based Course

Turn your investment strategies into scalable Python algorithms that automate your research, backtest, and deployment.

Hosted by

Jesús López

LinkedIn Learning Instructor: Practical Python for Algorithmic Trading

Course overview

Deploy the execution of your code automatically

From programming the code locally on your computer to deploying it automatically using CI/CD techniques.

Interaction with APIs.

Investment strategies.

Backtest how good investment strategies are.

Dockerization of Python scripts for deployment.

Creation of remote servers to run code in real-time.

Private API to share access.

Everything is explained step by step from blank files of code.

Plus, you'll learn how to market access to APIs.

Disclaimer: no financial advice is given; algorithmic trading is an excellent practical case for the technical skills covered in this course.

Becoming a freelance Python developer


Add end-to-end projects to your portfolio to showcase the value of your skills to win new contracts.


Program clean and scalable Python code from minute one to avoid repetition; you'll prepare scripts and notebooks to be run on autopilot.


Prepare your scripts for selling through an API. You'll also get an overview of how to market them through RapidAPI.


Avoid copy-pasting-executing code and practice programming with a methodology that pushes you to be creative on new problems.


Algorithmic trading strategies

Develop, test, and optimize algorithmic trading strategies. Learn to use data for informed trading decisions and implement real-world scenarios.

Dockerized applications

Learn to create, manage, and deploy Docker containers for portable, scalable, and efficient applications.

Running code on remote servers continuously

Deploy and manage code on remote servers with CI/CD pipelines, ensuring smooth, continuous production operations.

API ready to be shared through an URL

Develop and deploy robust, scalable APIs accessible via URL, ready for consumption by clients or other applications.

Making money with algorithmic trading strategies

Monetize your trading strategies by developing, deploying, and marketing them through APIs on platforms like RapidAPI.

This course includes

3 interactive live sessions

Lifetime access to course materials

In-depth lessons

Direct access to instructor

Projects to apply learnings

Guided feedback & reflection

Private community of peers

Course certificate upon completion

Maven Satisfaction Guarantee

This course is backed by Maven’s guarantee. You can receive a full refund within 14 days after the course ends, provided you meet the completion criteria in our refund policy.

Course syllabus

Expand all modules
  • Week 1

    Jul 25—Jul 27

    Week dates are set to instructor's time zone


    • Jul


      Session 1

      Thu, Jul 25, 8:00 PM - 11:00 PM UTC

    • Jul


      Session 2

      Fri, Jul 26, 8:00 PM - 11:00 PM UTC

    • Jul


      Session 3

      Sat, Jul 27, 3:00 PM - 6:00 PM UTC


    • Alpaca API

    • Investment Strategies

    • GitHub Actions

    • Docker

    • Cloud Computing

    • FastAPI

    • RapidAPI

    • Backtesting

    • Research Simulation


2 Days