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MCP (Model Context Protocol) Developer

Profile Code: AL-AI-08

  • 18 LPA (Median Salary)
  • Lecture Duration 2hrs
  • Course Duration 12 Weeks

Skills You Learn: Model Context Protocol (MCP) | AI Agent Development & Tool Calling | Large Language Models (LLMs) | API Development & Integration | Context Management & Workflow Orchestration | Python, JavaScript & SDK Development | Generative AI Frameworks (LangChain, AutoGen, CrewAI) | AI Deployment, Security & MLOps

₹76,000₹95,000
20% Early Bird Discount
Enroll Now Course Content

Overview Video

MCP (Model Context Protocol) Developer

About This Course

MCP Developers design, build, and integrate AI applications using the **Model Context Protocol (MCP)** to enable secure, standardized communication between large language models (LLMs), external tools, enterprise systems, and data sources. They develop intelligent AI solutions that leverage MCP servers, APIs, workflows, and cloud services to automate business processes and enhance decision-making. This course prepares learners for a career as an MCP Developer through hands-on projects, industry workflows, collaborative learning, and real-world case studies aligned with current hiring expectations in India. Learners gain expertise in Python, Model Context Protocol (MCP), LLM integration, AI agents, prompt engineering, API development, tool integration, workflow automation, and responsible AI practices. The curriculum includes practical experience with leading AI frameworks and cloud platforms. Through live projects and capstone assignments, participants develop programming, integration, and AI application development skills, preparing them for MCP Developer, AI Integration Engineer, AI Engineer, and AI Solutions Developer roles across diverse industries.

Key Responsibilities

  • Design and develop applications using the Model Context Protocol (MCP) to connect AI models with external tools, data sources, and services
  • Build and manage MCP servers, clients, and tool integrations for AI agents and LLM applications
  • Implement secure context sharing, API orchestration, and workflow automation across AI systems
  • Develop and optimize intelligent agent architectures using MCP and generative AI frameworks
  • Collaborate with AI engineers, developers, and product teams to deliver scalable, context-aware AI solutions

Growth Path

MCP DeveloperSenior AI Integration EngineerGenerative AI EngineerAI Solutions ArchitectHead of AI Engineering & Intelligent Automation

Tools Used

MCP SDKPythonVS CodeClaude DesktopOpenAI APIGitFastAPI

Perfect For

Computer Science and Engineering Graduates | Software Developers and Backend Engineers | AI and Machine Learning Enthusiasts | Generative AI and Agentic AI Professionals | Platform and Integration Engineers | Individuals Interested in Building Connected AI Systems and Intelligent Agents

Fee Structure

Fee DetailsAmount
Programme Fee₹95,000
★ Full Payment Gets 20% Early Bird Discount · save ₹19,000
Total Fee (After Discount)₹76,000

Mentor

AL

Analytics Learners

Professional Analyst & Mentor

4.9(230 reviews)