Learn Advanced Python
Deepen your Python skills with practical advanced projects
Learn Advanced Python is a hands-on course that helps experienced Python developers deepen their practical skills across functional programming, concurrency, database operations, and deployment. The curriculum emphasizes applied learning through projects and AI-assisted feedback, teaching patterns such as higher-order functions, structured logging, and idiomatic use of Python’s concurrency tools.
By the end of the course learners should be able to implement concurrent workflows, query and analyze SQLite databases from Python, and package simple Flask applications for deployment to real environments. This course is best suited to programmers with solid Python foundations who want measurable, project-focused outcomes rather than introductory theory.
At a Glance
Learn Advanced Python 3 is an online course that takes experienced Python users deeper into functional programming, concurrent programming, database operations, and deployment through applied exercises.
It is taught on Codecademy and emphasizes hands-on practice with AI-guided coding assistance and real-world projects.
| Level | Advanced |
| Rating | 4.5 out of 5 |
| Duration | 5+ hours |
| Languages | English |
| Learners | 10K+ learners |
| Certificate | Certificate of completion (paid plan required) |
| Access | Access while your subscription is active |
| Course includes |
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| Price | Subscription-based; monthly or annual plans |
What This Course Teaches
By the end of this course, learners should be able to execute specific, measurable Python tasks that demonstrate advanced proficiency across paradigms and deployment workflows. Competencies target implementing functional patterns, instrumenting applications with logging, querying and analyzing SQLite databases, writing concurrent code, and packaging a Flask-based deployment.
How the Course Is Structured
The course is organized as a compact sequence of seven modules that combine short lessons, interactive exercises, quizzes, and applied projects to let learners move from orientation to deployment-focused work in a single path. The full curriculum is designed to be completed in roughly 6 hours total and can be taken at your own pace.
Curriculum overview
01 Welcome to Advanced Python ▾
Introduces course goals, structure, and what to expect from the advanced topics covered later.
02 Logging ▾
Covers the Python logging module and strategies for instrumenting applications with timestamps and severity levels.
- Practice project: ATM Logging
03 Functional Programming ▾
Introduces functional paradigms in Python, including pure functions, higher-order functions, and use of map/filter/reduce.
- Practice project: Create your own Higher Order Functions
04 Database Operations ▾
Teaches how to access and manipulate SQLite databases from Python using the sqlite3 module and SQL queries.
- Practice project: Analyzing Hotel Databases with Python
05 Concurrent Programming ▾
Introduces concurrency techniques in Python to run tasks in parallel and improve program efficiency.
06 Deployment ▾
Explains packaging and deploying a simple Python script or small Flask application so it can be hosted or distributed.
07 Next Steps ▾
Wraps up the course with suggested next learning paths and how to apply the new skills in projects or job contexts.
Audience & Requirements
This course is aimed at programmers who already have solid Python fundamentals and want to apply more advanced paradigms and deployment workflows in real projects. It is best suited to learners preparing to use Python for backend work, automation, data-access tasks, or to add deployable project examples to a portfolio.
- Experienced Python developers moving into backend or automation roles.
- Software engineers who want to implement concurrency and functional patterns in production code.
- Data-focused programmers who need to query, analyze, and manipulate SQLite datasets from Python.
- Learners building portfolio projects that require deployment and instrumentation (logging).
- Completion of Learn Python 3 and Learn Intermediate Python 3 is recommended.
- Working familiarity with Python 3 syntax, data structures, and functions.
- Ability to install and run Python packages locally (pip) or willingness to use the platform’s interactive coding environment.
Final Verdict
Given its strong platform rating and wide adoption, Learn Advanced Python 3 delivers concentrated, practical instruction across advanced Python topics and applied projects.
For experienced Python developers seeking to deepen skills in functional programming, concurrency, database operations, and deployment, this course is a worthwhile, efficient investment.
Because access is subscription-based and the certificate requires a paid plan, the course represents best value for learners who will use the platform regularly or who want access to ongoing tools and projects; those seeking a one-time purchase or who lack solid Python fundamentals should complete preparatory material first.
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