MCP Course
Building with MCP and LangGraph
MCP Part 9: Building a full-fledged research assistant with MCP and LangGraph.
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MCP Course
Practical MCP Integration with 4 Popular Agentic Frameworks
MCP Part 8: Integration of the model context protocol (MCP) with LangGraph, LlamaIndex, CrewAI, and PydanticAI.
MCP Course
Sandboxing in MCP
MCP Part 7: A deep dive into understanding sandboxing and its need in MCP.
LLM and Fine-tuning
A Beginner-friendly and Comprehensive Deep Dive on Vector Databases
Understanding every little detail on vector databases and their utility in LLMs, along with a hands-on demo.
MCP Course
Testing and Security in MCP
MCP Part 6: An overview of testing using the MCP Inspector, and a discussion of common vulnerabilities, mitigation strategies, and MCP Roots.
MCP Course
Integrating Sampling into MCP Workflows
MCP Part 5: A deep dive into sampling, its working, code, use cases and best practices.
MCP Course
Building a Full-Fledged MCP Workflow using Tools, Resources, and Prompts
MCP Part 4: An in-depth exploration of MCP resources and prompts, followed by a hands-on demonstration of an MCP server utilizing tools, resources, and prompts for job search and analysis.
MCP Course
Building a Custom MCP Client
MCP Part 3: A step-by-step and from scratch implementation of the MCP client, plus a comparative overview of how MCP differs from both API and function calling.
