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The Prompt Engineering for Software Development course is designed for professionals who want to use Generative AI tools to improve coding, testing, debugging, documentation, and software delivery processes. The training covers prompt design techniques, AI-assisted coding, code review, automation, debugging strategies, development workflows, and real-world software engineering scenarios using tools like ChatGPT, GitHub Copilot, Gemini, Claude, Cursor AI, and Codeium. Through hands-on projects and practical assignments, learners discover how to work more efficiently and boost productivity with AI. This course is ideal for software developers, full-stack developers, DevOps engineers, QA professionals, technical architects, and anyone interested in AI-powered software development.
Duration of Training : Hours
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training
Detailed Syllabus • Hands-on Labs • Assignments • Support-Focused • Implementation
Curriculum Designed by Experts
This program is designed for Software Developers, Full Stack Developers, Backend Developers, Frontend Developers, DevOps Engineers, QA Engineers, Technical Architects, and AI-Assisted Software Development Professionals who want to leverage Generative AI
tools such as ChatGPT, Gemini, Claude, GitHub Copilot, Cursor AI, Windsurf, and Codeium for faster and smarter software development.
Topics
• Evolution of AI in Software Engineering
• Introduction to LLMs
• Generative AI for Developers
• Software Development Lifecycle (SDLC)
• AI-Assisted Development Workflow
• Understanding Tokens and Context Windows
• AI Model Capabilities and Limitations
• Prompt Engineering Fundamentals
• Responsible AI Usage in Development
Assignment
• Compare code generation capabilities of ChatGPT, Gemini, Claude, and Copilot.
Project
• AI Tool Evaluation Framework.
Topics
• Anatomy of a Prompt
• Context-Based Prompting
• Role-Based Prompting
• Output Formatting
• Constraints and Rules
• Zero-Shot Prompting
• One-Shot Prompting
• Few-Shot Prompting
• Prompt Testing Techniques
• Prompt Optimization
Assignment
• Create 50 software development prompts.
Project
• Developer Prompt Library.
Topics
• Code Generation Prompts
• Algorithm Development
• Data Structures Implementation
• Design Pattern Prompts
• Logic Building Prompts
• Pseudocode Generation
• Programming Best Practices
• Language Conversion Prompts
• Complexity Analysis
Assignment
• Generate algorithms for common coding problems.
Project
• AI Coding Assistant Repository.
Topics
• HTML Generation
• CSS Styling Prompts
• Responsive Design Generation
• JavaScript Development
• React Development Prompts
• Angular Development Prompts
• Vue.js Development Prompts
• UI Component Generation
• Accessibility Improvements
• Frontend Optimization
Project
• AI-Powered Responsive Website Builder.
Assignment
• Generate reusable UI components.
Job Scenario
• Build a customer portal UI using AI-assisted development.
Topics
• API Design Prompts
• REST API Development
• GraphQL API Design
• CRUD Operations
• Authentication & Authorization
• Microservices Development
• Error Handling
• Logging Frameworks
• Backend Architecture Design
• Performance Optimization
Project
• AI-Assisted Microservices Platform.
Assignment
• Generate complete REST APIs.
Job Scenario
• Develop backend services for an e-commerce platform.
Topics
• SQL Query Generation
• Database Schema Design
• Stored Procedures
• Views and Functions
• Query Optimization
• Database Normalization
• NoSQL Design
• Data Migration Scripts
• Performance Tuning
• Database Documentation
Project
• AI Database Design Assistant.
Assignment
• Generate optimized SQL queries.
Job Scenario
• Design database architecture for a healthcare application.
Topics
• OOP Concepts
• Class Design
• Inheritance
• Polymorphism
• Encapsulation
• Abstraction
• UML Generation
• Design Patterns
• Refactoring Techniques
• Code Reusability
Assignment
• Generate OOP-based application designs.
Project
• Enterprise Design Pattern Repository.
Topics
• Code Review Prompts
• Refactoring Strategies
• Technical Debt Reduction
• Performance Optimization
• Memory Optimization
• Security Improvements
• Clean Code Practices
• Static Code Analysis
• Maintainability Enhancements
Project
• AI Code Quality Improvement Framework.
Assignment
• Refactor legacy applications.
Job Scenario
• Improve performance of production applications.
Topics
• Unit Test Generation
• Test Case Design
• Mock Objects
• Test Coverage Analysis
• Integration Testing
• API Testing
• UI Test Generation
• Regression Testing
• Automation Framework Design
Project
• AI Test Automation Framework.
Assignment
• Generate automated test suites.
Job Scenario
• Improve application test coverage from 40% to 90%.
Topics
• CI/CD Pipeline Generation
• Jenkins Pipeline Prompts
• GitHub Actions Automation
• Dockerfile Generation
• Kubernetes YAML Generation
• Terraform Script Generation
• Infrastructure Automation
• Monitoring Configuration
• Incident Analysis
Project
• AI DevOps Automation Assistant.
Assignment
• Generate complete CI/CD pipelines.
Job Scenario
• Automate application deployment across environments.
Topics
• AWS Infrastructure Prompts
• Azure Deployment Prompts
• GCP Deployment Prompts
• Serverless Application Design
• Cloud Architecture Recommendations
• Cloud Security
• Cost Optimization
• Scalability Planning
• High Availability Design
Project
• AI Cloud Architecture Advisor.
Assignment
• Design cloud-native solutions.
Job Scenario
• Design scalable infrastructure for a SaaS platform.
Topics
• Secure Code Generation
• OWASP Top 10
• Vulnerability Detection
• Threat Modeling
• Security Review Prompts
• Authentication Security
• Authorization Security
• API Security
• Security Compliance
Project
• Secure Development Assistant.
Assignment
• Identify and fix code vulnerabilities.
Job Scenario
• Conduct secure code reviews before production release.
Topics
• System Design Prompts
• High-Level Design (HLD)
• Low-Level Design (LLD)
• Microservices Architecture
• Event-Driven Architecture
• Scalable System Design
• Enterprise Architecture
• Design Documentation
• Architecture Reviews
Project
• AI Software Architect Assistant.
Assignment
• Design enterprise-scale applications.
Job Scenario
• Design architecture for a fintech platform.
Topics
• GitHub Copilot
• Cursor AI
• Windsurf AI
• Codeium
• AI Pair Programming
• Context-Aware Development
• Productivity Optimization
• AI Development Workflows
• Team Collaboration
Project
• AI-Powered Development Environment.
Assignment
• Build applications using AI IDEs.
Job Scenario
• Reduce development effort through AI-assisted coding.
Project 1
AI-Powered E-Commerce Application Development
Project 2
AI-Generated Employee Management System
Project 3
Microservices-Based Banking Application
Project 4
Cloud-Native Inventory Management System
Project 5
AI-Assisted CRM Application
Project 6
Healthcare Management Platform
Project 7
Online Learning Management System
Project 8
AI-Powered Code Review Platform
Project 9
DevOps Automation Framework
Project 10
Enterprise Software Development Accelerator
• 100+ Prompt Engineering Exercises
• 50+ Code Generation Assignments
• 30+ Refactoring Challenges
• 25+ System Design Exercises
• 20+ Secure Coding Assessments
• 20+ Cloud Development Tasks
• 20+ DevOps Automation Exercises
• 15+ Architecture Design Reviews
Software Development
• Generate production-ready code.
• Convert business requirements into applications.
• Create APIs from functional specifications.
Code Review
• Identify bugs and vulnerabilities.
• Improve code maintainability.
• Optimize application performance.
Cloud & DevOps
• Generate infrastructure scripts.
• Troubleshoot deployments.
• Automate CI/CD workflows.
Architecture
• Design scalable applications.
• Create microservices architectures.
• Produce technical documentation.
• AI-Assisted Software Developer
• Prompt Engineer
• Full Stack Developer
• Backend Developer
• Frontend Developer
• Software Architect
• Technical Lead
• DevOps Engineer
• Cloud Developer
• GenAI Developer
• AI Solutions Engineer
• Enterprise Application Developer
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