PROGRAMMING · 5 WEEKS · 155 LESSONS
Python Essentials for MLOps
Learn essential Python programming skills required for modern Machine Learning Operations (MLOps). Master fundamentals through advanced concepts with hands-on practice in data science libraries and ML application development.
Master the Python programming fundamentals essential for Machine Learning Operations (MLOps) in this comprehensive course. Learn Python from basics through advanced concepts, including data structures, object-oriented programming, testing, and working with popular data science libraries like Pandas and NumPy. The course emphasizes practical MLOps scenarios, covering API development, automation, and building machine learning applications, preparing you for real-world ML engineering tasks.
01 — What learners say
Real feedback from real learners.
“The Rust Fundamentals course was fantastic for formalizing my base Rust knowledge. It was well-paced for both beginner and experienced developers.”
“The course was incredibly informative and well-structured. I gained practical skills that immediately applied in my work, making it a highly valuable learning experience.”
“The course on AI Fundamentals is not only engaging but also practical. Having worked with AWS before, the way it explained Azure cncepts made switching seamless and easy to grasp.”
“I can say that it's a great series of courses for those who are looking to practical MLOps knowledge.”
“This course got clear videos, exercises, and questions, and there are extra resources too. When you're done, you'll have a solid foundation to dive into topics like DevOps or ML.”
02 — Why this course
What you'll walk away with.
Master the Python programming fundamentals essential for Machine Learning Operations (MLOps) in this comprehensive course. Learn Python from basics through advanced concepts, including data structures, object-oriented programming, testing, and working with popular data science libraries like Pandas and NumPy. The course emphasizes practical MLOps scenarios, covering API development, automation, and building machine learning applications, preparing you for real-world ML engineering tasks.
Master Python programming fundamentals including variables, data structures, functions, and object-oriented programming
Develop proficiency in testing and debugging Python applications using pytest and modern testing practices
Build expertise with essential data science libraries including Pandas and NumPy for data manipulation and analysis
Create and deploy machine learning applications using Flask and FastAPI frameworks
03 — Syllabus
5 weeks, 155 lessons total.
- Meet your course instructor Alfredo DEZA
- Connect with your instructor
- Meet your supporting instructor NOAH gift
- Course structure and discussion Etiquette
- Getting started and course best practices
- Key terms
- Key terms
- Lesson introduction working with functions
- Function structure and values
- Function arguments
- Variable and keyword arguments
- Lesson Recap working with functions
- Key terms
- Lesson introduction writing and Executing tests
- Motivations for testing in python
- Testing conventions
- Testing with Pytest
- Lesson Recap writing and Executing tests
- Key terms
- Lesson introduction basic Pandas usage
- Introduction to Pandas
- Loading data into Pandas
- Writing data from Pandas Dataframes
- Exploratory analysis with Pandas
- Key terms
- Lesson introduction APIS and SDKS
- Installing Azure command line interface CLI
- Azureml studio with python
- Hugging face Transformers
- Hugging face Datasets
04 — For teams
Custom training for your company.
We're ready to deliver this and other courses to your team. We accommodate different requirements and are flexible with seat count.
- +Bulk pricing available
- +Customizable content
- +Ready to start on your schedule
05 — Individual access
Simple, straightforward pricing.
Full platform access — every current and future course — priced so cost isn't what decides whether you learn.
No commitment required. Cancel anytime.