Certified Associate in Python Programming (PCAP)

Organizations adopting Python often need a consistent baseline across developer teams before assigning automation, backend, software development, or data-oriented work. This intermediate PCAP course is best fit for IT Practitioners with prior development experience who need to move beyond basic syntax into reliable Python structure: data types, operators, I/O, control flow, strings, lists, dictionaries, functions, modules, exceptions, object-oriented programming, and file handling. The curriculum is about 13 hours and 45 minutes, making it realistic for staged onboarding or certification prep without taking developers out of delivery for a full week. For change management, Training Managers can assign the course as a shared standard before code reviews, automation projects, or Python-heavy cross-training. CBT Nuggets Playlists, Team Reporting, Practice Exams, and Virtual Labs help IT Directors track progress, reinforce exam readiness, and support hands-on skill adoption at team scale.

IT teams complete this PCAP training to standardize how developers write, read, and troubleshoot Python code in practical work environments. The course maps to common team needs: moving data through programs, controlling logic, organizing reusable code, handling errors, and working with files.

• Build a shared Python foundation across development teams using variables, data types, operators, conditionals, loops, and input/output.
• Improve maintainability by applying functions, modules, and object-oriented programming concepts instead of one-off scripts.
• Reduce avoidable failures by training developers to recognize and handle exceptions in Python programs.
• Support onboarding and cross-training for teams that use Python in backend development, software development, or data science workflows.

Knowledge

• Core Python language concepts, including variables, data types, operators, and basic input/output.
• How Python uses conditionals and loops to control program flow.
• String handling, lists, and dictionaries for working with common data structures.
• Function fundamentals, advanced function operations, and module usage.
• Exception handling, object-oriented programming concepts, and file read/write operations.

Ability

• Write Python programs that accept input, produce output, and make decisions with conditional logic.
• Use loops, strings, lists, and dictionaries to process and organize data.
• Create and apply functions to make Python code more reusable and easier to maintain.
• Import and use modules to extend program functionality.
• Build basic object-oriented Python code and handle runtime errors more effectively.
• Read from and write to files as part of practical Python workflows.