Learn Custom Tooling & the Model Context Protocol (MCP) to enhance LLM workflows, enable context-aware AI, and build scalable, production-ready solutions.
Level
Advanced
Duration
8 Weeks
Placement Client
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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
About trainer
Working professional who is carrying more then 10 years of industry experience.
Decks & Updated Content
Access to updated presentation decks shared during live training sessions.
e-Book
E-book provided by TechPratham. All rights reserved.
Assignments & MCQs
Module-wise assignments and MCQs provided for practice.
Video Recording
Daily Session would be recorded and shared to the candidate.
Projects
Live projects will be provided for hands-on practice.
Resume Building
Expert-guided resume building with industry-focused content support.
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.
Foundations of Custom Tooling
Learn how custom tools enhance LLM workflows, enable automation, and improve decision-making in real-world scenarios.
MCP Architecture and Workflow
Master context management, memory, and session state design for structured, reliable LLM workflows.
Building Context-Aware Agents
Design intelligent, context-driven agents with tool integration, multi-step workflows, and error-handling strategies.
Enterprise Integration with Custom Tools
Connect MCP-enabled agents with enterprise systems like ERPs, CRMs, and APIs for scalable automation.
Monitoring & Production Reliability
Implement logging, monitoring, and troubleshooting to maintain reliable and observable MCP-driven AI agents.
Agentic Ai Courses
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Additional Program Highlights
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Who Should Take Custom Tooling The "Model Context Protocol" (MCP)
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Working Professionals
Ops/Administrators/HR
Developers
BA/QA Engineers
Cloud / Infra
IT Professionals
Non-IT Career Switchers
Fresh Graduates
Key Projects
Custom Tooling The "Model Context Protocol" (MCP)
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Microsoft – Unified AI Context Bridge
Scenario: Developed custom tooling using Model Context Protocol to standardize AI model communication secure context sharing and enterprise workflow orchestration.
Live Work:
- Built MCP compliant connectors
- Secured context exchange APIs
- Integrated Azure AI services
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Amazon Web Services – Cloud Model Integration Grid
Scenario: Implemented MCP based framework to orchestrate multi model interactions automate context routing and ensure scalable cloud AI deployments.
Live Work:
- Designed MCP routing logic
- Automated model orchestration
- Integrated AWS Lambda flows
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Google – Intelligent Context Fabric
Scenario: Executed custom MCP tooling to harmonize data pipelines enable real time AI context management and streamline developer workflows.
Live Work:
- Developed context adapters
- Managed real time pipelines
- Secured cross model access
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Salesforce – Enterprise AI Protocol Hub
Scenario: Led MCP implementation enabling CRM integrated AI assistants secure context persistence and enterprise grade automation controls.
Live Work:
- Integrated MCP with CRM data
- Configured secure context vault
- Built automation triggers
Placement Process
Live Class with Industry Use Cases
- Interactive learning
- Real-world examples
- Expert guidance
- Doubt resolution
Daily Assignment & Weekly Assessments
- Hands-on practice
- Concept reinforcement
- Weekly evaluation
- Timely feedback
Project Testing & Deployment
- Project development
- Testing practice
- Deployment exposure
- Portfolio creation
Interview Preparation (Mock, PD, Alumni Session)
- Mock interviews
- Personal development
- Alumni guidance
- Confidence building
Resume Building
- Resume crafting
- Industry-focused format
- Skills highlighting
- Professional presentation
Placement
- Job assistance
- Interview support
- Career guidance
- Opportunity access
Knowledge Center
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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?
Industry-Recognized Certification
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