Certification for NTAI-COMP02 Python Programming Foundations
Exam 100-[ASEN] NTAI Certified Python Associate – Objectives
Training Options
- Online Training
- Live in-class Instructor Led Training
- Virtual Instructor Led Training
- Blended with Labs
Course Advisor
Rich Lysakowski, Ph.D.
Exam & Certification
Exam Description
The NTAI Python Certified Programming Associate v1.0 (NTAI-COMP02) exam is a 120-minute proctored exam for NTAI programs that require extensive Python coding knowledge and skills. This includes Data Analytics Specialist, Data Scientist, Data Engineer, AI Specialist, Network Security Specialist, or Python Web Developer.
The topics in the detailed course description are general guidelines for content likely to be on the exam. However, other topics may also appear on any specific exam, and the exam is expected to evolve over time. The guidelines below may change at any time without notice.
Prerequisites
Candidates should have:
- At least one university class in a computer coding language or equivalent hands-on work experience within the past 20 years.
- General knowledge of programming logic and data structures.
- General computer user skills to install and administer software tools on modern operating systems, such as Windows, Macintosh or Linux.
- Some prior experience using a Command Line Interface, e.g., DOS Command Prompt, bash in Linux, Terminal in MacOS.
A hands-on exam (in-person) or an online exam may be requested to measure a candidate’s proficiency and preparedness for this course
Download Curriculum
Module1: Install programming environment and tools
Module2: Python syntax, built-in objects and functions, and programming mechanics
Module3: Advanced objects, functions, modules, packages, and how to use them
Module4: Designing, building, and testing tools and simple applications
Module5: Consolidating skills and knowledge qualifications
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NTAI-COMP02 Python Programming Foundations
What You Will Learn in This Course
NTAI’s Python Programming Foundations course gives you comprehensive hands-on skills and knowledge that are fundamental for many modern technical careers. Through a combination of lectures, videos, hands-on labs, self-study, and projects, you will learn how to install, configure, and use Python coding tools and packages to design, code, and implement programs using Python. It covers application testing and debugging, tools infrastructure, problem solving, and related technical topics, to ensure the trainee has solid technical Python proficiency to take on practical coding, testing, and maintenance projects in the workplace.
Training topics include:
- Python coding tools selection and installation
- Python concepts and constructs, language syntax, and coding mechanics
- Objects, simple and complex data types, classes and attributes
- Modules, packages, and libraries
- Simple and advanced functions, decorators and generators
- Errors and exception handling
- File handling,
- Building, testing, and deploying small applications
- Automating common data tasks and processes
- Parallel processing, multiprocessing, multithreading, asynchronous programs
- Examples in application areas, such as data analytics, AI, database access, network device programming, security, web scraping, and task automation.
This course helps you prepare to receive the NTAI® COMP02 Certified Python Programming Associate Certificate. The NTAI certification process requires exams offered by NTAI and selected third-party commercial services, and allows the trainee to earn proficiency badges along the way. By passing this NTAI-sponsored exams, you earn the NTAI Python Programming Associate Certificate.
Requirements: Candidates should have had one class in a coding language within the past 15 years, an elementary understanding of logic and data structures. They must have general computer user skills for installing software on Windows, Macintosh or Linux operating systems, and some prior experience in using a Command Line Interface in a modern operating system (e.g., PowerShell in Windows 10, bash in Linux, Terminal in MacOS). Individuals missing these skills may be eligible to take this course, but must be evaluated on a case-by-case basis.
Module 1 - Introduction to Python and Computer Programming
Module 1 – Introduction to Python and Computer Programming
- Python – a tool, not a reptile
- There is more than one Python
- Let’s start our Python adventure
Module 2 - Data Types, Variables, Basic Input-Output Operations, Basic Operators
Module 2 – Data Types, Variables, Basic Input-Output Operations, Basic Operators
- Your first program
- Python literals
- Operators – data manipulation tools
- Variables – data-shaped boxes
- How to talk to computer?
Module 3 - Boolean Values, Conditional Execution, Loops, Lists and List Processing, Logical and Bitwise Operations
Module 3 – Boolean Values, Conditional Execution, Loops, Lists and List Processing, Logical and Bitwise Operations
- Making decisions in Python
- Python’s loops
- Logic and bit operations in Python
- Lists – collections of data
- Sorting simple lists – the bubble sort algorithm
- Lists – some more details
- Lists in advanced applications
Module 4 - Functions, Tuples, Dictionaries, and Data Processing
Module 4 – Functions, Tuples, Dictionaries, and Data Processing
- Writing functions in Python
- How functions communicate with their environment?
- Returning a result from a function
- Scopes in Python
- Let’s make some fun… sorry, functions
- Tuples and dictionaries
Module 5 - Modules, Packages, String and List Methods, and Exceptions
Module 5 – Modules, Packages, String and List Methods, and Exceptions
- Using modules
- Some useful modules
- What is package?
- Errors – the programmer’s daily bread
- The anatomy of exception
- Some of the most useful exceptions
- Characters and strings vs. computers
- Python’s nature of strings
- String methods
- Strings in action
- Four simple programs
Module 6 - The Object-Oriented Approach: Classes, Methods, Objects, and the Standard Objective Features; Exception Handling, and Working with Files
Module 6 – The Object-Oriented Approach: Classes, Methods, Objects, and the Standard Objective Features; Exception Handling, and Working with Files
- Basic concepts of object programming
- A short journey from procedural to object approach
- Properties
- Methods
- Inheritance – one of object programming foundations
- Exceptions once again
- Generators and closures
- Processing files
- Working with real files
NTAI-COMP02 Python Programming Foundations
NTAI Certified Python Programming Associate
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