
Ben Finkel
Programming & Cloud Computing
Where teams start
Core Python paths for teams standardizing scripting, automation, testing, data analysis, and machine learning readiness.
Build a solid Python foundation and validate your skills with this PCEP Certified Entry‑Level Python Programmer course. You’ll learn how to install and run Python, use variables, numbers, strings and operators, read and write console input/output, and follow PEP‑8 style. You’ll master control flow with if/elif/else, for and while loops, and explore data collections like lists, tuples, dictionaries and strings. You’ll also write your own functions, handle exceptions, and practice exam‑style questions so you can earn your PCEP certification and start building real projects with confidence. This online Python course serves as both exam prep *and* hands‑on training to increase your proficiency with Python, no matter your job role.
Shaun Wassell
This PCAP certification training is designed to help you gain confidence in backend development, software engineering, and data science. This course will teach you professional-level skills in designing, debugging, and refactoring multi-module programs. You'll master Object-Oriented Programming (OOP), modules, packages, and the Standard Library. From handling file streams to using generators and closures, this PCAP certification training provides the intermediate expertise you need to solve real-world problems, whether you're a developer, data scientist, or network engineer.
Ben Finkel
This foundational Python for Network Engineers course equips you with the practical scripting skills needed to automate modern networks. Designed for networking professionals with zero Python experience, this course will help you learn Python fundamentals, object-oriented programming, data types, and control flow. Learn to work with YAML, JSON, and CSV data formats, and use libraries like Netmiko, NAPALM, Scrapli, and Requests to automate routers, switches, and APIs. Explore REST API integration, configuration templating with Jinja2, and multithreading for concurrent device access. You’ll also get experience with version control (Git/GitHub), virtual environments, automated testing (Pytest), and Python best practices like PEP 8, linting, and unit testing. Build real-world skills in network programmability, and infrastructure automation. Start your network automation journey here.
John McGovern
This PCED training prepares you to earn the Certified Entry-Level Data Analyst with Python certification, with no Python or data science background required. You'll learn how data is collected, stored, and transformed, then move into Python fundamentals and apply them to real data tasks. You’ll clean messy datasets, run descriptive statistics, and spot trends. The course also covers how to communicate your findings clearly through structured reports and basic visualizations. By the end, you'll have the practical Python skills and exam knowledge to start working with data professionally, and pass the PCED-30-02 exam.
Shaun Wassell
Kickstart your career in software testing with this PCAT Python Associate Tester training. Learn how to write reliable, efficient tests using unittest, PyTest, and test-driven development (TDD). Master the fundamentals of Python test automation and quality assurance to ensure software runs as expected. Perfect for aspiring software testers, QA engineers, and developers looking to build a strong foundation in Python testing.
Shaun Wassell
This Python training course prepares learners to start using the Python programming language. Topics in this scripting language training include how to query databases with the Python programming language and gain an understanding of SQLite, SQLAlchemy, MySQL. After finishing this Python training, you'll learn the Python syntax, structure, and best practices.
Ben Finkel, Michael Levan, Trevor Sullivan
Capability ladder
The most popular Python courses at each certification level — from first credentials for new team members through expert and specialty tracks.
Certification tier
First credentials for new team members and cross-trained roles — the on-ramp before vendor specialization.
Build a solid Python foundation and validate your skills with this PCEP Certified Entry‑Level Python Programmer course. You’ll learn how to install and run Python, use variables, numbers, strings and operators, read and write console input/output, and follow PEP‑8 style. You’ll master control flow with if/elif/else, for and while loops, and explore data collections like lists, tuples, dictionaries and strings. You’ll also write your own functions, handle exceptions, and practice exam‑style questions so you can earn your PCEP certification and start building real projects with confidence. This online Python course serves as both exam prep *and* hands‑on training to increase your proficiency with Python, no matter your job role.
Shaun Wassell
Certification tier
Core role credentials — the level most teams standardize on for day-to-day operations.
This PCAP certification training is designed to help you gain confidence in backend development, software engineering, and data science. This course will teach you professional-level skills in designing, debugging, and refactoring multi-module programs. You'll master Object-Oriented Programming (OOP), modules, packages, and the Standard Library. From handling file streams to using generators and closures, this PCAP certification training provides the intermediate expertise you need to solve real-world problems, whether you're a developer, data scientist, or network engineer.
Ben Finkel
This PCED training prepares you to earn the Certified Entry-Level Data Analyst with Python certification, with no Python or data science background required. You'll learn how data is collected, stored, and transformed, then move into Python fundamentals and apply them to real data tasks. You’ll clean messy datasets, run descriptive statistics, and spot trends. The course also covers how to communicate your findings clearly through structured reports and basic visualizations. By the end, you'll have the practical Python skills and exam knowledge to start working with data professionally, and pass the PCED-30-02 exam.
Shaun Wassell
Shaun Wassell
Certification tier
Advanced credentials for the engineers who own design, escalation, and complex environments.
This Python certification course takes you deep into advanced Python programming. You’ll learn how to design and build object-oriented applications, create Tkinter GUIs, manage JSON and SQL data, handle errors, and apply design patterns like Singleton and Observer. You’ll also practice with multithreading, API integration, network programming, and secure coding techniques. With expert-led lessons and real-world examples, this course prepares you to pass the Certified Professional in Python Programming 1 (PCPP1) exam and build confidence as a professional developer.
Shaun Wassell
Kickstart your career in software testing with this PCAT Python Associate Tester training. Learn how to write reliable, efficient tests using unittest, PyTest, and test-driven development (TDD). Master the fundamentals of Python test automation and quality assurance to ensure software runs as expected. Perfect for aspiring software testers, QA engineers, and developers looking to build a strong foundation in Python testing.
Shaun Wassell
Turn Python basics into AI skills that pay. This PCEI certification training prepares you for the Entry-level AI Specialist with Python certification, perfect for AI beginners who want to level up. This PCEI certification training will show you how to analyze datasets, implement basic AI logic, and evaluate the capabilities and limitations of AI models. You’ll write real AI-style algorithms in Python, work with small datasets, and explore machine learning, neural networks, and generative AI at a practical level. Most importantly, you’ll build portfolio-ready projects you can showcase for employers, all while preparing for the Python AI certification exam.
Shaun Wassell
Fresh from the studio
The latest Python training added to the catalog — new courses land here within a day of publication.
Discipline crossover
Where Python training overlaps the disciplines your team hires for — each path page shows the full picture.

Hands-on Python practice
Human-led training is the point: engineers practice real skills with expert guidance, not just video playback.
Why CBT Nuggets
The platform features IT directors comparing training platforms ask about most often.
Full catalog
Everything else in the Python catalog beyond the curated sections above.
Practitioner-led
Built and taught by engineers who have spent decades running production Python infrastructure — not crowd-sourced contributors.

Programming & Cloud Computing

DevOps & Cloud Engineering

Data Science, Machine Learning & AI
Team outcome
Curated playlists and team assignments make onboarding repeatable instead of relying on ad hoc shadowing and tribal knowledge.
Best fit for: managers scaling a team, backfilling a role, or standardizing skills across distributed engineers.
Common questions IT directors ask when evaluating Python training for their team.
Start with PCEP or Getting Started with Python 3 for new Python users. Teams with programming experience can move into PCAP, automation, or data-analysis paths faster.
Network teams should take Python for Network Engineers. DevOps teams should pair core Python with testing and API workflows. Data teams should take PCED/Pandas/data science. AI teams should add machine learning, deep learning, and TensorFlow.
Yes. Python is useful for network engineers, sysadmins, analysts, security teams, and DevOps engineers because it automates operational work and turns repetitive tasks into repeatable scripts.
Measure automation coverage: fewer manual changes, more reusable scripts, improved data workflows, and more engineers who can read and maintain Python used in operations.
Yes. Managers can assign Python paths by role, track progress, and document who is ready for automation, testing, data analysis, and AI-related work.