Radical Technologies
AI
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(2,095 ratings)  50,000+ Student

PROMPT ENGINEERING FOR SOFTWARE DEVELOPMENT

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.

RT
Radical Technologies
50,000+ English 32 hours Weekdays / Weekends Classroom / Online / Corporate
Online / Classroom

PROMPT ENGINEERING FOR SOFTWARE DEVELOPMENT

IT Training Programme

Duration 32 hours
Batch Type Weekdays / Weekends
Mode of Training Classroom / Online / Corporate
Locations Pune, Bangalore, Kochi
Language English
Certification Globally Recognized
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100% placement assistance

What you'll learn

Understand core concepts and architecture from the ground up
Get hands-on with the tools used by working professionals
Build real-world projects you can add to your portfolio
Learn industry best practices and coding standards
Practice with real datasets and real-world scenarios
Prepare for certification and technical interviews
Work on collaborative, team-based exercises
Apply performance tuning and optimization techniques
Understand how the technology fits into a larger ecosystem
Complete assignments reviewed by mentors

Programme Overview

19 sections covering the complete curriculum — a single, progressive learning arc.

32 hours
Training Duration
19
Core Modules
227
Total Lessons
4.4
Average Rating
50K+
Students Trained
01

Foundations & Core Concepts

Get hands-on with the fundamentals and architecture — the building blocks for everything that follows.

Fundamentals Architecture Setup
02

Hands-On Practical Training

Work through real exercises and assignments designed to mirror what you will do on the job.

Practicals Assignments Labs
03

Real-World Projects

Apply what you have learned to end-to-end projects that go straight into your portfolio.

Projects Portfolio Case Studies
04

Advanced Techniques

Go beyond the basics with advanced concepts, integrations and production-grade practices.

Advanced Integration Best Practices
05

Ecosystem Integration

Understand how this technology connects with the broader tools and platforms used in the industry.

Ecosystem Tools Platforms
06

Performance & Interview Prep

Master optimization techniques and prepare for the technical interview questions employers actually ask.

Optimization Interview Prep Certification

Who is this programme for?

Whether you're already writing code, working with data, or supporting applications today — this programme is built to take you into a AI role.

Software Developers

Engineers who want to add this skill set to their toolkit

Analysts & Consultants

Professionals moving into a more technical, hands-on role

IT Professionals

System admins and support engineers upskilling into a new domain

Fresh Graduates

CS/IT graduates aiming for a job-ready technical role

Course Curriculum

19 sections  •  227 lessons  •  32 hours

01 Program Objective
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.
02 Module 1: Introduction to Generative AI for 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.
03 Module 2: Fundamentals of Prompt Engineering

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.
04 Module 3: Prompt Engineering for Programming Fundamentals

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.
05 Module 4: Prompt Engineering for Frontend Development

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.
06 Module 5: Prompt Engineering for Backend 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.
07 Module 6: Prompt Engineering for Database Development

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.
08 Module 7: Prompt Engineering for Object - Oriented Programming

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.
09 Module 8: Prompt Engineering for Code Refactoring & Optimization

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.
10 Module 9: Prompt Engineering for Unit Testing & Automation

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%.
11 Module 10: Prompt Engineering for DevOps & CI/CD

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.
12 Module 11: Prompt Engineering for Cloud Development

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.
13 Module 12: Prompt Engineering for Secure Coding

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.
  •  
14 Module 13: Prompt Engineering for Software Architecture

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.
15 Module 14: Prompt Engineering with GitHub Copilot, Cursor & AI IDEs

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.
16 Module 15: Enterprise Prompt Engineering Projects

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
17 Assignments Included
• 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
18 Real-Time Job-Oriented Scenarios
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.
19 Target Job Roles
• 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

Tools & Technologies

Every tool listed here is installed, configured and used in a hands-on lab session.

Core Tools

Hands-On Labs

Practical Environment

Industry-Standard Tools

Real-World Setup

Guided Exercises

Skill Building

Sample Datasets

Practice Material

Practice & Projects

Mini Projects

Applied Practice

Assignments

Mentor Reviewed

Doubt Sessions

Live Support

Career Readiness

Resume Building

Career Support

Mock Interviews

Interview Prep

Certification Prep

Global Recognition

Deployment & Delivery

Production Practices

Real-World Ready

Best Practices

Industry Standards

227+
Hands-On Lessons
19
Core Modules
32 hours
Training Duration
100%
Practical Training

You don't just learn PROMPT ENGINEERING FOR SOFTWARE DEVELOPMENT. You ship it.

Three major projects, each mirroring how production teams actually work — from guided foundations to a portfolio-ready capstone.

PROJECT // 01

Guided Foundation Project

Requirement Analysis

Guided Implementation

Mentor Review

Iteration

Foundation Beginner

Apply the fundamentals in a structured, mentor-reviewed project

Take the core concepts from the first half of the curriculum and apply them to a realistic scenario, with guidance and feedback from your mentor at every step.

Structured project brief
Step-by-step implementation
Mentor feedback and review
Documented outcome
Stack Core Concepts Best Practices
PROJECT // 02

Applied Practice Project

Scenario Design

Independent Build

Testing & Validation

Peer Review

Applied Intermediate

Build a more independent project mirroring real production scenarios

Work through a project that combines multiple concepts from the curriculum, closer to how work is actually structured on the job — less hand-holding, more ownership.

End-to-end implementation
Testing and validation
Documentation
Peer/mentor review
Stack Applied Skills Testing
PROJECT // 03

Capstone Project

Planning

End-to-End Build

Review & Refinement

Presentation

Capstone Advanced

Take a project from requirements to a polished, portfolio-ready deliverable

Your final project — plan, build, test and present a complete solution using everything covered in the curriculum, reviewed by mentors before you graduate.

Complete working solution
Presentation-ready documentation
Mentor sign-off
Portfolio-ready deliverable
Stack Full Curriculum Portfolio

All 3 projects go directly into your portfolio & resume — reviewed by mentors before you graduate.

See Sample Project Reports

Upcoming Batches

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Why Radical Technologies

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  • 80:20 Practical and Theory ratio
  • Real-life Case Studies
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Global Certification

Radical Technologies is the leading IT certification institute in Pune, offering globally recognized certifications across various domains. With expert trainers and comprehensive materials, we ensure students gain in-depth knowledge and hands-on experience to excel in their careers. Our certification programs are tailored to meet industry standards — from cloud technologies to data science — empowering individuals to stay ahead in the ever-evolving tech landscape.

Certificate of Completion

Career Services

At Radical Technologies, we are committed to your success beyond the classroom. Our 100% Job Assistance program ensures that you are not only equipped with industry-relevant skills but also guided through the job placement process. With personalised resume building, interview preparation, and access to our extensive network of hiring partners, we help you take the next step confidently into your IT career.

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Accenture
Amazon
Avisys Services
Birlasoft
Capgemini
Catchpoint
Cognizant
Darwish Cybertech
DataVision
GiBots
Google
Groots Software
HCL Technologies
IBM
Info Gain
Infosys
ITCube Solutions
KPIT
L&T Infotech
Microsoft
Mphasis
mPhatek
Oracle
Quantbit Technologies
Saina Cloud
TCS
Tech Mahindra
Wipro
YASH Technologies
Zensar Technologies