AI Agents, LangGraph & MCP Programme Guide
Examine controlled agent workflows, tool access and state management. Learn why a useful agent needs clear boundaries, evaluation and recoverable failures.
Programme enquiry: ask the team to confirm availability, syllabus, trainer, fees and batch arrangements before enrolling.
What this field involves
Examine controlled agent workflows, tool access and state management. Learn why a useful agent needs clear boundaries, evaluation and recoverable failures.
- Workflow graphs, state and checkpoints
- Retrieval and tool selection
- Model Context Protocol concepts
- Human approval, evaluation and recovery
Useful foundations
Python, JSON, APIs and familiarity with an LLM application provide a useful starting point.
A practical question to investigate
Diagram a research assistant that retrieves documents, calls a limited tool and asks for approval before a consequential action. Include failure and retry paths.
This is an illustrative learning brief, not a promise about an SV Infotech batch or its project assignments.
Before choosing a programme
Is MCP an agent framework?
MCP defines a way for applications to expose and connect tools and context. An agent framework organises execution and state. They can work together, but they solve different integration and orchestration problems.
Can I join a AI Agents, LangGraph & MCP batch at SV Infotech?
Contact the team to confirm whether this programme is currently offered, its entry requirements and the available training arrangements. Fees, duration, trainer and batch dates are provided after confirmation.
Review the official learning or product documentation to understand the technology. Product references do not imply vendor affiliation, accreditation or certification.