AI-Supported Software Engineering

EngX AI-Supported Software EngineeringIntegrate GitHub Copilot and ChatGPT into your daily work for streamlined, efficient development.

Skills covered

Engineering Practices

$40$16075%

The discount applies for the first 100 participants

Money-back guarantee — 30 days after purchase

The course includes:

7.5 hours of study time
14 theory lessons
Self-check quizzes for theory
9 practice tasks with automatic assessment

Course rating
4.8 / 5
Course format
Self-paced course
Course level
Basic to intermediate
Course language
English

Knowledge you will gain

LLM basics

Introduction to the concept of AI, ML, natural language processing, and large language models.

Development tasks

Creating a new function, class/service, or module/project. Using AI to explain, refactor, or modify code fragments.

GitHub Copilot and ChatGPT

Conversational and inline AI tools. Benefits, limitations, typical use cases, and prompt examples for both types.

Project documentation

Creating project and source code documentation, including inline comments, structured class and method comments.

Prompt engineering

Prompt structure, parameters, types, and main techniques to streamline daily dev tasks and maintain the result quality.

Development testing

Test creation and maintenance with a focus on unit tests. Prompts for generating new test data in CSV or source code.

Languages used for course practiceThe dev tasks are designed for those programming languages.

Study plan

5 modules
14 theory lessons
9 practice tasks
7 h 30 min

1AI-supported engineering

1 lesson
7 min

Course introduction

7 min

2Mastering LLMs

6 lessons
2 h 30 min

3Coding

4 lessons
6 practice tasks
6 h

4Development testing

2 lessons
2 practice tasks
1 h

5Technical documentation

1 lesson
1 practice task
35 min

Course experts

Alexey Shcheglov
Project Manager
Project Manager with 20+ years in software, transforming best engineering practices into actionable courses, head of EngX educational programs.
Dmytro Pavliuk
Delivery Manager
Delivery Manager with 17 years in software, proficient in management, SDLC, Java, and AWS. Contributed to AI integration into SDLC and 3 AI learning courses.
Oleksandr Ponikarov
Senior Engineering Manager
Senior Manager with 15+ years in software. Responsible for global mentoring, BigData discipline development, and people management at EPAM.
Alina Kulish
Senior Software Engineer
Alina has 8 years of experience in front-end development with a special focus on JavaScript, Angular, and TypeScript. She is a co-creator of the “AI for JS developers” course, and an advocate of clean, scalable code.
Igor Derkach
Senior Software Engineering Manager
Experienced Java trainer and courses author, excelling in large-scale project development and management.
Aliaksandr Trafimenka
Senior Engineering Manager
Senior Manager leading innovative projects and mentoring tech talent in engineering and AI applications at EPAM's Microsoft Technology Division.
Pavel Kiadrynski
Lead Software Engineer
Lead Software Engineer excelling in Python. Has experience in data science and creating corporate MDM solutions.
Timur Polishchuk
Software Engineer
Software Engineer with a diverse skill set in software development, debugging, project leadership, and new technologies adoption — such as integrating LLMs into business processes.
Alexander Shvarz
Software Engineering Team Leader
Senior Team Leader with 20 years of IT experience, specializing in Java, microservices, Google Cloud Platform, and system migration.
Vadym Korotkyi
Delivery Manager
Delivery Manager, co-head of JavaScript Learning and Development node and AI Coach at EPAM, focusing on enabling AI projects.
Maxim Belov
Software Engineering Team Leader
Python Competency Manager at EPAM, coordinating Python competency and Learning and Development node, with a mission to make Python accessible to all.