AI-Powered Software Development & Coding Mastery

Course Description

AI-Powered Software Development equips developers with the skills to leverage artificial intelligence for faster coding, automated testing, intelligent debugging, code optimization, and modern software engineering workflows.

Duration 3 days – 21 hrs

Overview

This course equips software engineers and technical professionals with the skills to integrate AI tools into their development workflows. Participants will learn how to utilize AI coding assistants (e.g., ChatGPT, GitHub Copilot, Azure OpenAI) for code generation, refactoring, testing, documentation, and debugging. The program emphasizes responsible adoption—ensuring security, accuracy, and coding best practices while boosting team productivity, innovation, and delivery speed.

Objectives

Use AI tools within IDEs and CI/CD for development acceleration
Write effective prompts to generate secure, optimized, and maintainable code
Automate documentation, testing, and code reviews with AI
Validate and secure AI-generated code outputs
Apply AI-assisted techniques to solve real-world programming challenges
Boost delivery velocity and code consistency across teams

Target Audience

Software Developers / Engineers
DevOps & Platform Engineers
QA Automation Engineers
Solutions Architects & Tech Leads
Students transitioning into professional development roles
Anyone adopting AI for coding productivity

Prerequisites

Basic programming knowledge (any language e.g., JavaScript, Python, Java, C#)

Familiarity with Git and software development lifecycle

Laptop with VS Code or preferred IDE installed

Course Outline

Day 1 – AI-Assisted Development Foundations

Evolution of AI in Software Engineering
How Large Language Models (LLMs) Work for Coding
AI Coding Assistants: Capabilities vs. Limitations
Natural Language to Code Conversion

Hands-On Labs:

Generating functions and scripts
Debugging with AI suggestions
Inline code completion and real-time guidance in IDEs

Day 2 – Prompt Engineering for Developers

Prompt Patterns for:

CRUD operations
API integration
Unit tests generation
Database queries & schema creation
UI development scenarios

Refactoring & Code Optimization with AI
Multi-step Prompting for complex programming tasks
Automating Documentation & Comments

Hands-On Labs:

Transforming requirements into working code
Prompting for multiple languages (Python, JavaScript, Java, C#)
Performance and algorithm optimization using AI

Day 3 – Secure Integration & Workflow Automation

Code Security & Validation of AI-Generated Code

Vulnerability scans
Dependency management
Secure coding checklists

AI-Enhanced CI/CD & DevOps Autonomy
AI-Driven Code Review and Testing Automation
Collaboration with AI for Architectural Design

Hands-On Capstone Project:

Build feature → Generate tests → Deploy with automation
Team exercise using AI for solution brainstorming and code quality checks

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AI-Powered Software Development & Coding Mastery

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