What you'll learn

Configure and command agentic tools like Cline and GitHub Copilot

Apply advanced prompting frameworks to generate high-fidelity code

Orchestrate the full development lifecycle by managing AI agents

Shift from manual syntax implementation to high-level system orchestration, achieving a 10x increase in development velocity

Requirements

Mandatory: Basic to intermediate proficiency in at least one modern programming language (e.g., Python, javascript, Java, C#) and familiarity with an IDE/code editor. Recommended: Prior experience with version control (Git) and understanding of basic software development concepts.

Description

In this intensive program, you will move beyond basic autocomplete. You will learn to orchestrate sophisticated AI agents like Cline and Copilot, mastering the art of "Vibe Coding"—a high-level, flow-state approach to rapid prototyping and system architecture. This course isn't just about writing code faster; it’s about rethinking the entire Software Development Lifecycle (SDLC) to be AI-first.What You Will Master?The curriculum is structured to take you from foundational prompting to executing complex, multi-file features with minimal manual intervention.Foundations: The New Workflow & Prompting - Set up your agentic environment and master the linguistic precision required to "steer" LLMs.Execution: Inline, Chat & Vibe Coding - Achieve fluid, in-IDE generation and learn to prototype at the speed of thought.Optimization: Debugging, Security & QA - Use AI to diagnose "impossible" bugs and automate the generation of robust test suites.Legacy & Ethics: Refactoring & Professionalism - Learn to clean up "spaghetti code" and navigate the ethical complexities of AI-generated intellectual property.Course Goal:To transform a traditional developer into a highly-efficient Agentic Developer by mastering advanced AI coding techniques, utilizing tools like copilot, Cline and dedicated coding environments, and applying sophisticated prompting strategies to manage the entire software development lifecycle.Target Audience:Developers and software engineers at various stages of their careers who want to leverage AI to drastically improve their efficiency and code quality.Prerequisites:Mandatory: Basic to intermediate proficiency in at least one modern programming language (e.g., Python, javascript, Java, C#) and familiarity with an IDE/code editor.Recommended: Prior experience with version control (Git) and understanding of basic software development concepts.

Developers and software engineers at various stages of their careers who want to leverage AI to drastically improve their efficiency and code quality.