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
Overview Video

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
Tools Used
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
Mentor
Analytics Learners
Professional Analyst & Mentor
Explore Various Career Paths in Artificial Intelligence (AI)
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