AI Coding Assistant for Developers Training in Ontario

AI Coding Assistant for Developers Training in Ontario, Canada

Participants will learn how to pair program with AI, boost productivity, and maintain security and code quality while using AI-generated suggestions.

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AI Coding Assistant for Developers Training is a professional training program delivered by ProgNXT in Ontario, Canada. ProgNXT, a globally recognized corporate training provider in 55+ countries, offers this AI Coding Assistant for Developers Training course with hands-on, instructor-led sessions. This course is designed to help developers integrate AI-powered coding assistants into their daily workflows. It covers the use of tools like GitHub...

Expert Panel

Designed by the ProgNXT AI & Data Science Expert Panel, specializing in Generative AI, Machine Learning, and ChatGPT applications

ProgNXT AI & Data Science Expert Panel

Course Code: USL88
14 Hrs
Last Updated: April 2026

Course Rating5/5

This course is designed to help developers integrate AI-powered coding assistants into their daily workflows. It covers the use of tools like GitHub Copilot, Claude, and Cursor IDE for writing, debugging, testing, documenting, and optimizing code. Developers will learn how to pair program with AI, boost productivity, and maintain security and code quality while using AI-generated suggestions.

Welcome to the official AI Coding Assistant for Developers Training certification program in Ontario, Canada. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge locally. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

Basic to intermediate programming knowledge (Python, Java, or JavaScript preferred)
Familiarity with Git and development environments (VS Code, JetBrains, etc.)
Understanding of software development lifecycle (SDLC)

By the end of this course, developers will be able to:

Use AI coding assistants for code generation, debugging, and optimization
Write effective prompts for accurate and useful code outputs
Automate repetitive coding tasks, tests, and documentation
Collaborate with AI as a “pair programmer” in real projects
Apply best practices for secure, reliable AI-assisted coding

AI-assisted coding workflows
Prompt engineering for developers
Debugging and testing automation with AI
Refactoring and performance optimization
Automated documentation and code commenting
Secure and ethical AI adoption in coding projects

Quizzes on AI coding concepts & tools
Lab exercises on code generation, debugging, and documentation

Participants who attend all sessions and successfully complete the course assessments will receive a ProgNXT Certificate of Completion.

Introduction to AI in Software Development

What is an AI coding assistant?
Overview of tools (Copilot, Claude, Cursor)
Benefits & limitations of AI in coding

Setting Up and Getting Started

Installing and configuring Copilot in IDEs
Accessing Claude for coding help & reasoning
Using Cursor IDE for AI-powered editing

Prompt Engineering for Developers

Writing precise coding prompts
Multi-step coding task breakdowns
Using AI to generate APIs, CRUD, and boilerplate code

Code Generation and Refactoring

Automating repetitive coding tasks
Refactoring legacy code
Optimizing algorithms with AI suggestions

Debugging and Testing with AI

AI-assisted debugging workflows
Generating unit, integration, and automated tests
Fixing bugs and optimizing performance with AI

Documentation and Collaboration

Auto-generating docstrings, comments, and READMEs
Creating technical documentation and API references
Using AI for knowledge sharing within dev teams

Advanced Workflows

Using Claude for architecture design and reasoning
AI in DevOps (CI/CD pipelines, code reviews)
AI for multi-language development support

Security, Ethics & Best Practices

Reviewing AI-generated code for security flaws
Open-source licensing & compliance concerns
Guidelines for safe enterprise adoption

Hands-on Exercises

Summary and Conclusion

Slides and reference guides for AI assistants
Prompt libraries for developers
Sample projects for hands-on practice

Quizzes & Assignments
Hands-on Labs

ProgNXT Certificate of Completion will be awarded to participants who successfully complete the course and assessments.

AI Coding Assistant for Developers Training Events in ontario

Online Events

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More Upcoming Session Dates

October 2026

🌐 Online Instructor-Led

12th Oct 2026→13th Oct 2026

📍 Ontario, Canada

21st Oct 2026→22nd Oct 2026

🌐 Online Instructor-Led

27th Oct 2026→28th Oct 2026

November 2026

🌐 Online Instructor-Led

9th Nov 2026→10th Nov 2026

📍 Ontario, Canada

12th Nov 2026→13th Nov 2026

📍 Ontario, Canada

26th Nov 2026→27th Nov 2026

🌐 Online Instructor-Led

28th Nov 2026→29th Nov 2026

December 2026

📍 Ontario, Canada

5th Dec 2026→6th Dec 2026

🌐 Online Instructor-Led

6th Dec 2026→7th Dec 2026

🌐 Online Instructor-Led

18th Dec 2026→19th Dec 2026

📍 Ontario, Canada

27th Dec 2026→28th Dec 2026

Events for other courses in Ontario, Canada

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AI Coding Assistant for Developers Training in Ontario