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23 Oct 2026 · 5 min read
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FlagshipFRESHERS & JOB SEEKERS
Project Development Based Training with AI
A 12-week hands-on software developer training program
Turn a fresher into a project-ready software developer who can understand requirements, design solutions, build applications, use AI responsibly across the development lifecycle, test and deploy them, and provide basic production support.
.NETReactSQL ServerAI-assisted SDLC
Fees and upcoming batch dates are shared in the demo class.
- 12 weeks
- Recommended duration
- 6 hours
- Study time per day
- 5 days
- Training days per week
- 360 hours
- Total duration
OVERVIEW
What this program is about
A 12-week, hands-on software developer program. Carry one capstone project from requirements to deployment with React, .NET and SQL Server, using AI responsibly at every stage.
One project, start to finish
You carry one capstone project through all 12 weeks. Each week builds on the last, with requirements, design, code, tests, deployment files and documentation kept in the same Git repository.
How your time is spent
- 25% Concepts
- 65% Hands-on development
- 10% Reviews and assignments
A typical 6-hour day
- Concept / instructor session1.5h
- Hands-on coding2.0h
- Project development1.5h
- AI-assisted development0.5h
- Review / assignment / discussion0.5h
CURRICULUM
12 steps from basics to a finished project
Each step ends with something you can show. Open a step to see what you will cover.
-
1
Week 1Software Development and Project Introduction
SDLCAgile/Scrumproject rolesGitGitHub/Azure DevOpsIDE setupproject overview
You deliver: Project understanding, Git repository and development environment
-
2
Week 2Programming Fundamentals
C#/.NET fundamentalsOOPcollectionsexception handlingLINQdebugging
You deliver: Programming exercises and reusable utility components
-
3
Week 3Database Development
SQL Serverdatabase designER diagramstablesrelationshipsjoinsstored proceduresviewsfunctionsindexing
You deliver: Database schema and SQL scripts
-
4
Week 4Requirements and Analysis with AI
Requirement gatheringuser storiesacceptance criteriause casesAI-assisted requirement analysis
You deliver: Requirements, user stories and acceptance criteria
-
5
Week 5Application Architecture
Layered architectureClean ArchitectureSOLIDdesign patternsAPI architecturearchitecture diagrams with AI
You deliver: HLD, architecture and database design
-
6
Week 6Backend Development
.NET Web APIRESTDTOsvalidationauthenticationauthorizationloggingerror handling
You deliver: Backend API
-
7
Week 7Frontend Development
ReactHTML/CSSJavaScript/TypeScriptcomponentsformsAPI integrationstate management
You deliver: Frontend application
-
8
Week 8Full-Stack Integration
React + .NET API + SQL ServerauthenticationCRUDsearch and filterpaginationfile upload and export
You deliver: Integrated full-stack features
-
9
Week 9AI and GenAI for Developers
LLM fundamentalspromptingAI coding assistantscode generationcode explanationtest generationdocumentation
You deliver: AI/GenAI proof of concept
-
10
Week 10Agentic AI and AI-Powered Development
AI agentstool callingRAG conceptsAI SDLCrequirement to design to code to test workflow
You deliver: Agentic AI workflow
-
11
Week 11Testing, Security and DevOps
Unit testingintegration testingAPI testingPlaywrightSonarQubesecurity basicsCI/CDAzure DevOps
You deliver: Test automation, security checks and CI/CD pipeline
-
12
Week 12Production Readiness and Project Presentation
Deploymentmonitoringloggingtroubleshootingperformanceproject documentationdemo and presentation
You deliver: Production-readiness validation, documentation and final presentation
AFTER THE COURSE
Skills you will have
Practical skills you will have used on your own project, not just read about.
- C# and .NET fundamentals, OOP and LINQ
- SQL Server design, queries, stored procedures and indexing
- Requirements analysis: user stories and acceptance criteria
- Application architecture: layered design, SOLID, design patterns
- REST APIs with .NET Web API and Entity Framework Core
- Authentication, authorization, validation and logging
- React with HTML/CSS and JavaScript/TypeScript
- Full-stack integration: React + .NET API + SQL Server
- Git and Azure DevOps
- Prompt engineering and responsible use of AI coding assistants
- Building AI-enabled features, RAG concepts and agent workflows
- Unit, integration, API and UI testing (Playwright)
- Code quality and security basics (SonarQube)
- CI/CD pipelines and deployment
- Troubleshooting and basic production support
- Technical documentation and project presentation
CAREERS
Roles you can apply for
Job titles this curriculum prepares you for. They are examples, not a promise of placement.
Software Developer (.NET)Backend and full-stack roles on the Microsoft stackSee matching jobs Full-Stack Developer (React + .NET)Build features end to endSee matching jobs Backend / API DeveloperREST APIs, SQL Server, authenticationSee matching jobs Frontend Developer (React)Component-based UI and API integrationSee matching jobs Associate Software EngineerEntry-level engineering roles in product and services teamsSee matching jobs AI-assisted Application DeveloperAdd GenAI features to applicationsSee matching jobs Junior QA / Test Automation EngineerUnit, API and Playwright testingSee matching jobs Junior DevOps / CI-CD EngineerPipelines, deployment and monitoring supportSee matching jobs
Open now on our jobs page
See allASSESSMENT
How your progress is judged
Your work on the project is what counts. Each area carries a share of the final result.
- Programming fundamentals10%
- Database and SQL10%
- Requirements and design10%
- Backend development15%
- Frontend development10%
- Full-stack project15%
- AI/GenAI implementation10%
- Testing10%
- Final project and presentation10%
OUTCOMES
What you will be able to do
- Understand a business requirement
- Create user stories and acceptance criteria
- Design a software solution and a relational database
- Develop REST APIs and build a React application
- Integrate frontend, backend and database
- Write unit and automated tests
- Use Git and Azure DevOps, and build and explain a CI/CD pipeline
- Use AI responsibly for software development and integrate AI into an application
- Understand Agentic AI concepts
- Debug, deploy and provide basic production support
- Explain your technical solution confidently
PORTFOLIO
What you finish with
- Business requirement document
- User stories and acceptance criteria
- HLD and LLD documents
- Database design and SQL Server database
- API specification and .NET Web API
- React application
- AI-enabled feature and AI/GenAI documentation
- Unit test suite and API test collection
- Architecture diagram and API documentation
- Deployment guide and production support runbook
- CI/CD pipeline
- Final project presentation
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Ready to start building?
Enrol to register your interest, or book a free demo class. Fees and batch dates are shared by our team.
Project Development Based Training with AI