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Training Camp's 3-day Python Advanced Programming boot camp covers object-oriented design, data structures, APIs, and automation scripting. For developers moving beyond Python basics. Exam voucher included.

Award-Winning Training Experience

Master Advanced Python Development

Advanced Python Programming Boot Camp. Expert instruction, hands-on coding projects, course materials, and lifetime instructor access included. Train like your career depends on it.

Verified for 2026 PY-ADV Exam
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Expert Designed

For Real-World Success

Learn from the Experts

Learn Real-World Hands-on Skills. Hands-On. Production-Quality.

3 intensive days for Python developers who want production-grade skills: advanced OOP, async, testing, and the techniques senior engineers use day to day.

Program Abstract

REF: PY-ADV 6
Curriculum aligned to the latest Exam Outline.
Format Live, Instructor-Led
Duration 3

From Python Scripts to Production Code.

This intensive 3-day boot camp takes intermediate Python users and builds production-quality coding skills. You’ll work through advanced object-oriented programming, advanced data structures, API integration, and automation scripting, the techniques employers actually test in technical interviews and rely on in production codebases. Python is the #1 language in cybersecurity, data science, and automation, and this boot camp gets you fluent in the patterns that matter.

Built for Working Developers.

Assumes you can already write basic Python: functions, lists, dictionaries, loops. We pick up where Python Intro ends and take you into the patterns that matter on real codebases.

Advanced OOP and Data Structures.

Deep dive into object-oriented programming, advanced data structures, decorators, generators, and the design patterns that make Python code maintainable at scale. The stuff that separates scripts from software.

APIs and Automation Scripting.

Build the integrations and automation that real teams ship. You’ll work with REST APIs, write reusable automation scripts, and leave with patterns you can apply to cybersecurity, data work, and DevOps tasks.

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Training materials including official courseware and study guides
Practitioner Led
Instructors are working security professionals, not just trainers.

"I don't teach from a textbook. I teach what happens in the SOC when the alert fires."

Jeff Porch

VP Ed. Services • CISSP, CISM CISSP: Certified Information Systems Security Professional. CISM: Certified Information Security Manager.

Choose Your Delivery Mode.

Same Curriculum
In-person classroom training session
A

In-Person

Immersive classroom instruction with direct instructor access, hands-on labs and peer collaboration.

  • Face-to-face instruction
  • On-site exam option
Student attending live online training
B

Live Online

The same instructors and curriculum, delivered live from anywhere on our virtual learning platform.

  • Zero travel required
  • Interactive breakout rooms
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Trusted by Thousands

Python Advanced Programming training backed by 25 years of boot camp experience, taught by Training Camp instructors who write production Python for a living.

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Certificate of Completion

Finish the Python Advanced Programming boot camp with a Training Camp certificate of completion and working code you wrote yourself in class.

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Free Course Retake

Retake the Python Advanced Programming course free within one year, and keep 180 days of instructor access while you apply Python to your projects.

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Practical Python Expertise

Python Advanced covers object-oriented programming, advanced data structures, API integration and automation scripting. Days 2-3 focus on error handling, unit testing and module design.

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Python in Demand

Python is the #1 language in cybersecurity, data science and automation. Our 3-day boot camp builds production-quality coding skills employers test in technical interviews.

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Ongoing Mentoring

After class ends you keep access to your instructor and valuable Python resources for continued support while you put new skills to work.

Python Advanced Programming Boot Camp

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    COURSE STRUCTURE

    Python Certification
    Syllabus

    A structured path designed for working professionals.
    Each day builds on the last—momentum is everything.

    Request Info

    MODULE_ID: PREP

    Live Training QS: ~5
    BEFORE CLASS
    Critical Path

    Before Class

    Pre-course materials access
    L.prep.1
    Foundation concepts review
    L.prep.2
    Baseline self-assessment
    L.prep.3

    MODULE_ID: Python-Adv-01

    Live Training QS: ~5
    DAY 1
    Critical Path

    Object-Oriented Programming and Desktop Applications

    Classes, Inheritance, Composition, and Method Resolution Order
    L.01.1
    Dunder Methods, Properties, and Operator Overloading
    L.01.2
    Dataclasses, Enums, and Type Hints With Typing
    L.01.3
    Abstract Base Classes and Protocols
    L.01.4
    Implementing the Factory and Strategy Design Patterns
    L.01.5
    Context Managers and the With Statement
    L.01.6
    Lab: Refactor Procedural Code Into a Class Hierarchy
    L.01.7
    Lab: Implement the Factory Design Pattern
    L.01.8
    Closures, First-Class Functions, and Functools
    L.01.9
    Writing Function and Class Decorators
    L.01.10
    Generators, Yield, and Lazy Iteration
    L.01.11
    Itertools and Generator Pipelines for Large Data
    L.01.12
    Designing a Graphical User Interface With Tkinter
    L.01.13
    Event Handling and Widget Layout in Tkinter
    L.01.14
    Lab: Build a Caching and Timing Decorator
    L.01.15
    Lab: Build a Tkinter Desktop Application
    L.01.16

    MODULE_ID: Python-Adv-02

    Live Training QS: ~6
    DAY 2
    Critical Path

    Data-Driven Applications and Web Services

    Connecting to SQLite and PostgreSQL With DB-API
    L.02.1
    Parameterized Queries and SQL Injection Prevention
    L.02.2
    Storing, Updating, and Deleting Data in a Database
    L.02.3
    Database Transactions, Commits, and Rollbacks
    L.02.4
    Object-Relational Mapping With SQLAlchemy Models
    L.02.5
    Reading and Writing JSON, CSV, and Config Files
    L.02.6
    Lab: Build a Data Access Layer With SQLAlchemy
    L.02.7
    Creating a RESTful Web Service With Flask
    L.02.8
    Routing, Request Parsing, and JSON Responses
    L.02.9
    Authentication and API Keys in Flask Endpoints
    L.02.10
    Creating a Web Service Client With Requests
    L.02.11
    Asyncio, Coroutines, and the Event Loop
    L.02.12
    Concurrent HTTP Requests With Aiohttp and Asyncio.gather
    L.02.13
    Lab: Build and Consume a Flask REST API
    L.02.14
    Lab: Convert a Blocking Client to Asyncio
    L.02.15

    MODULE_ID: Python-Adv-03

    Live Training QS: ~6
    DAY 3
    Critical Path

    Data Science, Testing, and Application Packaging

    Loading and Cleaning Data With Pandas DataFrames
    L.03.1
    Handling Missing Values, Types, and Duplicates
    L.03.2
    Grouping, Aggregating, and Merging Datasets
    L.03.3
    NumPy Arrays and Vectorized Operations
    L.03.4
    Visualizing Data With Matplotlib Charts
    L.03.5
    Simple Linear Regression With Scikit-Learn
    L.03.6
    Lab: Clean and Visualize a Real-World Dataset
    L.03.7
    Exception Hierarchies and Custom Exception Classes
    L.03.8
    Logging Configuration and Structured Log Output
    L.03.9
    Writing Unit Tests With Pytest and Unittest
    L.03.10
    Fixtures, Parametrization, and Mocking With Unittest.mock
    L.03.11
    Measuring Coverage and Running Tests in CI
    L.03.12
    Packaging With Pyproject.toml, Virtual Environments, and Pip
    L.03.13
    Lab: Write and Execute a Pytest Suite
    L.03.14
    Lab: Capstone Project Build, Test, and Package
    L.03.15

    MODULE_ID: POST

    Live Training QS: ~7
    AFTER CLASS
    Critical Path

    After Class

    COURSE PROGRESS Day 0 of 3
    FREQUENTLY ASKED QUESTIONS

    Python Certification
    Training Camp FAQ

    Real questions from real professionals who passed.
    Here's how we answer them.

    This course is designed for intermediate Python developers who want to deepen their programming knowledge, learn object-oriented programming, build data-driven applications, and develop web services.

    Participants should have a solid understanding of Python basics, including variables, loops, functions, and basic object-oriented programming concepts.

    Yes! This course covers practical application development, including desktop applications, database integration, web services, and data science techniques.

    No, but having some exposure to databases and REST APIs will be helpful. The course introduces these topics and provides hands-on exercises to ensure understanding.

    You’ll need Python 3.x installed, along with libraries such as Flask, Pandas, NumPy, and Matplotlib. Instructions for setting up your development environment will be provided.

    Yes, this is a hands-on course with real-world coding exercises, practical projects, and interactive learning to reinforce concepts covered in each session.

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