HomeCoursesApplied AI Engineering: The Agent & MCP Masterclass
Advanced AI Program

Agentic AI Engineering – The Agent & MCP Masterclass

Design, build, govern, and deploy production-ready Agentic AI systems using MCP, LangChain, LangGraph, and multi-cloud architecture.

Beginner to Advanced
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Hands-on

Course Highlights

Industry-Relevant Curriculum
What You Will Learn

About This Course

Advanced Agentic AI Engineering & System Design Program

An advanced, hands-on program designed to equip professionals with the skills to design, build, govern, evaluate, observe, and deploy production-ready Agentic AI systems. 

The course covers LLM model selection and AI FinOps, Model Context Protocol (MCP), Knowledge Graphs & GraphRAG, single-agent architecture, enterprise tool integration, AI governance and security, agent observability, evaluation, and multi-cloud deployment. 

Learn through practical implementation using industry-relevant technologies including Azure AI Foundry, AWS Bedrock, GCP, LangChain, LangGraph, MCP, Python, PostgreSQL, GraphDB, RAGAS, LangSmith, LangFuse, OpenTelemetry, NeMo Guardrails, and Hugging Face models such as Llama, Mistral, DeepSeek, and Phi. 

The program focuses on real-world enterprise architecture, security, compliance, cost optimization, human-in-the-loop design, monitoring, and production deployment, helping learners build scalable and reliable Agentic AI solutions. 

What You Will Learn

  • Build and secure MCP servers for enterprise tool connectivity
  • Design single-agent applications with human-in-the-loop workflows
Curriculum

Course Modules

A structured 7-module journey into Agentic AI Engineering

Model Selection, Benchmarking and AI FinOps, LLM Ecosystem Overview, Model Selection Criteria, Cost vs Speed Trade-offs,Accuracy and Reliability (Tool-Common for all, hyper scaler can be optional ones ,Azure foundry +RAGAs + Evaluation metrics ,Evaluation metrics and relevency , drift , RAGAS, LLM-as-judge etc..., HuggingFace Models or other models - Llama , Mistral, DeepSeek, Phi)

Model Context Protocol and Enterprise Tool Connectivity MCP Fundamentals, MCP Architecture,Building MCP Servers, Tool Registration and Schemas, Security for MCP, Agent + MCP Integration, Enterprise MCP Gateway,MCP Design Patterns, (Tool-JSON, Langchain, Langraph, Python)

Knowledge Graph and Context Graph Thinking :- -Knowledge Representation,Entity Modeling, Ontologies and Taxonomies, Graph Databases, GraphRAG ,Data Quality for Graphs, Enterprise Knowledge Systems, (Tool GraphDB)

Single Agent Application Design: FE + Agent Integration, BE + Agent Integration, Database Design withAgents, Agent Skills, Human-in-the-loop Design Knowledge Graph Thinking Knowledge Graph and Context Graph Thinking :- -Knowledge Representation,Entity Modeling, Ontologies and Taxonomies, Graph Databases, GraphRAG ,Data Quality for Graphs, Enterprise Knowledge Systems, (Tool GraphDB) (Tool-React, Azure foundry, LangChain, LangGraph,Agent with tools, Agent Definitions,Python,Azure foundry, LangChain, LangGraph,Postgre SQL, Claude Sonnet, AWS Bedrock )

Security, Privacy, Responsible AI and Audit: Responsible AI Principles, AI Security Risks, Privacy and Data Protection, Compliance and Regulatory Awareness, AI Governance Operating Model, Prompt and Tool Governance, Audit Trails and Evidence, RedTeaming and Testing (Tools-Agent Registery, Reasoning and Routing, Feedback loop, NeMo Guardrails, Azure Content Safety, Azure Foundry, AWS Bedrock )

Agent Observability, Evaluation and Cost Monitoring: Observability Fundamentals, LangSmith and Agent Tracing, OpenTelemetry for AI Apps, Evaluation Frameworks, Hallucination and Grounding Checks, Token and Cost Monitoring, Performance and Latency, Production Incident Management (Tool-LangSmith, OpenTelemetry, LangFuse)

Model and AI Application Deployment:- Model Monitoring, Deployment on Azure Deployment on AWS, -Deployment on GCP, (Tool-AWS, Azure, GCP Claude Sonnet)

Course Fee

Limited Time Offer
22,000
28,00021% OFF
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  • Duration: 20 Hours:
  • Mode: Live Instructor based:
Course Duration

Total Program Duration

20 Hours

Tools & Technologies

Python
LangChain / LangGraph
Model Context Protocol (MCP)
Azure AI Foundry / AWS Bedrock
Career Focus

Who Should Join This Course?

AI/ML engineers

Backend developers

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