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CoursesAgentic Ai

Custom Tooling & The "Model Context Protocol" (MCP)

Agentic Ai

Custom Tooling & The "Model Context Protocol" (MCP)

Learn Custom Tooling & the Model Context Protocol (MCP) to enhance LLM workflows, enable context-aware AI, and build scalable, production-ready solutions.


5/5(4,890 Reviews)

Level

Advanced

Duration

8 Weeks

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About 

Custom Tooling & The "Model Context Protocol" (MCP)

Custom Tooling & the Model Context Protocol (MCP) is a cutting-edge approach to enhance LLM workflows by enabling context-aware AI agents, seamless tool integration, and scalable automation. With MCP, developers can maintain structured conversation states, improve decision-making, and ensure reliable outputs in production environments. Tech Pratham offers hands-on training on MCP and custom tooling, equipping learners with practical skills to build enterprise-ready, context-driven AI solutions that maximize efficiency, accuracy, and automation.

Training Plan

01

About trainer

Working professional who is carrying more then 10 years of industry experience.

02

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03

e-Book

E-book provided by TechPratham. All rights reserved.

04

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05

Video Recording

Daily Session would be recorded and shared to the candidate.

06

Projects

Live projects will be provided for hands-on practice.

07

Resume Building

Expert-guided resume building with industry-focused content support.

08

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

Custom Tooling & The "Model Context Protocol" (MCP)

Course Curriculum

Introduction to Model Context Protocol (MCP)

Understand MCP fundamentals, its role in context-aware LLMs, and enterprise applications with Tech Pratham.

Overview of MCP and its significance in LLM workflows
Differences between traditional LLM usage and context-aware systems
Importance of MCP in enterprise-grade AI applications
Real-world use cases of context-driven AI agents

Foundations of Custom Tooling

Learn how custom tools enhance LLM workflows, enable automation, and improve decision-making in real-world scenarios.

Introduction to custom tooling for LLMs
Types of tools and integrations (APIs, databases, external services)
How custom tooling enhances AI decision-making and automation
Best practices for enterprise LLM tooling

MCP Architecture and Workflow

Master context management, memory, and session state design for structured, reliable LLM workflows.

Core components of MCP: context management, memory, and session states
Structured conversation design and context persistence
Multi-step decision-making with context tracking
Integration with LLM pipelines and automation workflows

Building Context-Aware Agents

Design intelligent, context-driven agents with tool integration, multi-step workflows, and error-handling strategies.

Designing agents with MCP for dynamic, real-time context handling
Implementing custom logic and tool calls
Handling complex workflows with multiple agents
Error handling, retries, and fallback strategies

Enterprise Integration with Custom Tools

Connect MCP-enabled agents with enterprise systems like ERPs, CRMs, and APIs for scalable automation.

Connecting MCP-enabled agents to ERP, CRM, and internal tools
Real-world enterprise workflow automation
API orchestration, tool validation, and output structuring
Security and governance best practices for enterprise LLMs

Monitoring & Production Reliability

Implement logging, monitoring, and troubleshooting to maintain reliable and observable MCP-driven AI agents.

Implementing logging and monitoring for context-aware agents
Detecting anomalies and maintaining output reliability
Metrics and observability for MCP workflows
Troubleshooting production issues in enterprise AI systems

Agentic Ai Courses

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Additional Program Highlights

Learning Metarials
Resume Writing
Interview Preparation
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Custom Tooling & The "Model Context Protocol" (MCP)

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Key Projects

<p>Custom Tooling &amp; The "Model Context Protocol" (MCP)</p>

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Context-Aware Customer Support Agent

Develop an LLM agent that provides customer support while maintaining full conversation context across multiple interactions. Use MCP to track session states, integrate external tools like CRM databases, and implement error handling and fallback mechanisms.

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Multi-Agent Enterprise Workflow Automation

Create a system of multiple MCP-enabled LLM agents that handle enterprise workflows like HR onboarding or procurement approvals. Each agent performs specific tasks, communicates context across agents, and executes conditional workflows reliably.

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Real-Time Decision Support System

Build an LLM agent that aggregates data from multiple tools (finance, analytics, operations), uses MCP to maintain decision context, and provides real-time recommendations for enterprise decision-making. Include monitoring, logging, and validation mechanisms for reliability.

Placement Process

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What Makes TechPratham Training Different?

Real-World Implementation
Live enterprise tenant access for 24/7 practice on real-world, enterprise-grade scenarios.
Restricted or simulation-based access that lacks real-world complexity.
Subject Matter Experts
Mentorship from certified professionals with 15+ years of global industry experience.
Generic instructors with no hands-on implementation background.
2026 Ready Curriculum
AI-driven curriculum with advanced platform integrations and real-world configurations.
Basic, outdated syllabus that misses key technical integrations.
Daily & Weekly assignments
Daily assignments and weekly assessments focused on concept reinforcement and continuous feedback.
Self-paced learning with no accountability or progress tracking.
End-to-End Lifecycle
Hands-on project testing and deployment with portfolio-ready real-world exposure.
Basic lab exercises without any deployment or testing practice.
Interview Readiness
Structured interview preparation including mock interviews, PD sessions, and alumni guidance.
Minimal support limited to a generic certificate of completion.
Placement Support
Guaranteed interview support through tie-ups with top MNCs and 1-on-1 mock interview sessions.
Basic career tips with no direct industry connections.
Training Support
24/7 technical doubt resolution and personalized mentoring support.
Limited mentor availability and no support after class hours.
Affordable Fees
Competitive fixed pricing with flexible payment options and transparent fee structure.
Inflated fees with hidden costs and low return on investment.
FAQ's
ABOUT CERTIFICATE

Course FAQs

What is the Model Context Protocol (MCP)?

Why is custom tooling important for LLMs?

Who should enroll in this MCP course?

How does MCP improve LLM reliability?

What skills will learners gain from studying MCP?

Does the course cover context management in LLMs?

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