Agentic AI Engineering
Build Autonomous AI Agents That Think, Decide, and Act
Learn how to design, build, and deploy Agentic AI systems using tools, functions, RAG pipelines, databases, files, APIs, and multi-agent workflows. Go beyond chatbots and build real autonomous AI products.
Why Choose Agentic AI?
Autonomous AI Agents
Design AI agents that plan tasks, use tools, call functions, remember context, and execute actions without manual prompts.
RAG & Memory Systems
Build Retrieval-Augmented Generation systems using vector databases, files, SQL, and long-term memory.
Real-World AI Systems
Create production-ready AI workflows connected to databases, APIs, cloud services, and enterprise data.
Course Curriculum
Introduction to Agentic AI
Understand how Agentic AI differs from traditional LLM apps. Learn agents, planning, reasoning loops, autonomy levels, and real-world use cases. All Standard Topic will be covered as per industry
Tools & Function Calling
Teach AI how to use tools: call APIs, execute functions, validate inputs, and take structured actions automatically. All Standard Topic will be covered as per industry
RAG – Retrieval Augmented Generation
Build RAG pipelines using documents, PDFs, files, SQL data, and vector databases to ground AI responses in real data. All Standard Topic will be covered as per industry
Connecting Databases with AI Agents
Let AI safely read, analyze, and write data using SQL Server, PostgreSQL, MySQL with guardrails and validation. All Standard Topic will be covered as per industry
File-Based AI Agents
Build agents that read/write files (CSV, Excel, PDF, logs), analyze content, generate reports, and automate workflows. All Standard Topic will be covered as per industry
Memory & Context Management
Implement short-term, long-term, and episodic memory so agents remember users, tasks, and historical decisions. All Standard Topic will be covered as per industry
Multi-Agent Systems
Coordinate multiple agents (Planner, Executor, Reviewer) to collaborate, debate, and complete complex goals. All Standard Topic will be covered as per industry
Agentic AI Deployment
Deploy agentic systems using APIs, background services, cloud hosting, monitoring, and cost optimization. All Standard Topic will be covered as per industry
Capstone Project – Enterprise Agentic AI
Build a complete Agentic AI system that connects tools, databases, files, RAG, memory, and multi-agent workflows.
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 Agentic AI course?
Basic knowledge of .NET (C#) is enough. We start from fundamentals like tools, function calling, and agent workflows, then gradually move to advanced Agentic AI systems.
Do I need prior AI or Machine Learning experience?
No prior AI or ML experience is required. This course focuses on practical Agentic AI—how to build autonomous agents using LLMs, tools, databases, files, and APIs, without heavy math or ML theory.
What technologies and platforms will we work with?
You’ll work with .NET, LLM APIs, SQL Server, PostgreSQL, vector databases, file systems (PDF, Excel, CSV), REST APIs, and cloud platforms like Azure and AWS.
Will I learn RAG (Retrieval-Augmented Generation)?
Yes. You’ll build complete RAG pipelines using embeddings, vector stores, document chunking, semantic search, and memory-aware AI agents.
Will agents connect to databases and files?
Absolutely. You’ll build agents that query databases, analyze data, read files (PDF, Excel, CSV), generate reports, and take autonomous actions.
How long does it take to complete the course?
The course runs for 6 weeks with 2 sessions per week (1.5 hours each). You also get lifetime access to recordings, projects, and updates.
What real-world Agentic AI problems will I solve?
You’ll build autonomous AI agents for document analysis, database querying, workflow automation, multi-agent collaboration, monitoring, decision-making, and enterprise-grade AI systems.
Will I learn how to deploy Agentic AI systems?
Yes. You’ll learn how to deploy AI agents as background services, APIs, schedulers, and cloud-hosted systems on Azure and AWS.
Is this course useful for career growth?
Definitely. Agentic AI is one of the most in-demand skills today. You’ll build a strong portfolio of real-world AI agents and gain skills required for modern AI, automation, and software roles.
Ready to Build Agentic AI Systems?
Move beyond chatbots. Build AI that plans, reasons, connects to real data, and autonomously executes real-world tasks.
Start Learning Now
