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AI-Powered Software Development with Cursor, Claude Code & Agentic AI

Artificial Intelligence

Course Overview


This 1-day workshop is designed for software developers who want to accelerate application development using modern AI coding assistants and Agentic AI techniques. Participants will learn how to use AI-powered development environments to generate code, refactor applications, automate testing, analyze codebases, build AI agents, and improve software delivery productivity.


Duration: 1 days / 8 hours

Delivery Method: Classroom-based, Virtual Instructor Led Training


COURSE OBJECTIVES

By the end of this workshop, participants will be able to:

·      Understand the fundamentals of AI-powered software development and the role of Agentic AI in modern engineering workflows.

·      Apply prompt engineering techniques to effectively communicate requirements and development tasks to AI coding assistants.

·      Utilize AI-powered development tools such as Cursor to generate code, refactor applications, create documentation, and accelerate software delivery.

·      Leverage autonomous coding platforms such as Claude Code to analyze repositories, implement features, and improve code quality.

·      Design and work with AI agents that can plan, execute tasks, use tools, and maintain context throughout the software development lifecycle.

·      Automate software testing activities, including test case generation, unit test creation, integration testing, and edge-case discovery using AI.

·      Integrate AI-assisted workflows into daily development practices to improve productivity, reduce development time, and enhance software quality.

·      Evaluate best practices, limitations, and human oversight requirements when using AI and Agentic AI for software engineering.

COURSE OUTLINE


Module 1: Introduction to AI-Powered Development

·      Evolution of AI-Assisted Software Development

·      Understanding Agentic AI for Developers

·      Modern AI Coding Workflows

·      AI-Augmented Development Lifecycle

·      Developer Productivity with AI

Module 2: Prompt Engineering for Developers

·      Anatomy of Effective Development Prompts

·      Writing Requirements as AI Prompts

·      Context-Driven Prompt Design

·      Role-Based Prompting for Developers

·      Generating Structured Outputs

·      Prompt Templates for Development Tasks

Module 3: AI-Powered Coding with Cursor

·      Setting Up AI-Assisted Development Environments

·      Understanding Codebase Context

·      Code Generation Techniques

·      Refactoring Legacy Applications

·      Code Documentation Generation

Module 4: Autonomous Development using Claude Code

·      Agent-Based Software Development

·      Repository Analysis and Understanding

·      Automated Feature Implementation

·      Code Review and Improvement Workflows

Module 5: Agentic AI for Software Engineering

·      What Makes an AI Agent

·      Planning and Execution Loops

·      Tool Usage by AI Agents

·      Memory and Context Management

·      Human-in-the-Loop Development

Module 6: AI for Testing and Quality Assurance

·      Test Case Generation

·      Unit Test Automation

·      Integration Test Creation

·      Edge Case Discovery 


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