Become a Full Stack Developer, AI Engineer, and Team Lead
Enterprise-grade training covering React, ASP.NET Core, databases, Agentic AI systems, file analysis, data-driven AI workflows, and real-world deployment on IIS and cloud servers.
Why This Course Is Different
Agentic AI Architecture
Design autonomous AI agents that plan tasks, call APIs, analyze files, and interact with databases.
Modern Full Stack
React frontend, ASP.NET Core backend, secure APIs, and scalable system design.
AI + Database Integration
AI agents that read, write, analyze, and optimize data from SQL Server and PostgreSQL.
Production Deployment
Deploy AI-powered applications on IIS, Azure, and AWS with monitoring and security.
Course Curriculum – React + .NET Core + Agentic AI + Deployment
2-Week: React Frontend
React fundamentals and hooks. All Standard Topic will be covered as per industry
2-Week: ASP.NET Core & Agent Orchestration
ASP.NET Core clean architecture. Building AI orchestration layers. Agent pipelines (Planner → Executor → Verifier). Secure API endpoints for AI execution. All Standard Topic will be covered as per industry
2-Week: Database-Aware AI Agents
SQL Server & PostgreSQL integration. AI agents that generate, validate, and execute SQL queries. Data summarization and anomaly detection. Audit logging and AI-safe database access. All Standard Topic will be covered as per industry
2-Week: File Analysis & Autonomous Workflows
AI-powered file analysis (PDF, Excel, CSV, logs). Extracting insights from documents. Multi-step agent workflows (analyze → decide → act). Integration with external systems and APIs. All Standard Topic will be covered as per industry
2-Week: Deployment, Security & Monitoring
Deploying React + .NET Core + AI on IIS. Environment-based AI configuration. Secure API keys and secrets. Logging, monitoring, and AI governance. All Standard Topic will be covered as per industry
2-Week In Capstone Project
Build an enterprise AI agent platform that: connects to databases, analyzes uploaded files, executes autonomous workflows, and runs in production on a live server. All Standard Topic will be covered as per industry
Flexible Fee Structure – Learn First, Pay Later
20% course completion → Pay 35% fee 100% course completion → Pay 30% fee After placement → Pay remaining 35% fee
Frequently Asked Questions
What programming experience do I need for this course?
You should have basic C# and .NET knowledge. We'll cover advanced AI integration, database design, and enterprise patterns. If you're comfortable with basic .NET development, you're ready to start.
Do I need prior AI/ML experience?
No! We start from the basics and build up. You'll learn how to integrate AI services, work with LLMs, and build intelligent applications step by step.
What databases will we work with?
We'll work with SQL Server, PostgreSQL, and Azure Cosmos DB. You'll learn Entity Framework, Dapper, and how to optimize queries for AI applications.
Will I get hands-on experience with real AI services?
Absolutely! We'll work with Azure Cognitive Services, OpenAI APIs, and build real chatbots, image classifiers, and recommendation systems.
How long does it take to complete the course?
The course is designed for 6.5 weeks with 2 lectures per week (1.5 hours each). You can learn at your own pace with lifetime access to all materials.
What projects will I build?
You'll build 12+ real-world projects including AI chatbots, fraud detection systems, recommendation engines, sentiment analyzers, and a complete ERP/CRM system.
Is there support available during the course?
Yes! You'll have access to our expert instructors, community forum, and live Q&A sessions. We're here to help you succeed.
Will this help me get a job as a .NET + AI developer?
Definitely! You'll have a portfolio of AI-powered .NET applications and the skills that companies are desperately looking for. We also provide interview preparation and job placement assistance.
Ready to Become a .NET + AI Expert?
Master the future of development with AI-powered .NET applications and intelligent database systems.
Start Learning Now
