The MCP Essentials for Python AI Developers (Video Course) certification equips you with the skills to efficiently integrate, build, and deploy AI solutions using the Model Context Protocol (MCP). By mastering MCP, you will gain increased productivity, a competitive edge, and the adaptability needed to keep pace with evolving AI technologies. Enroll now to unlock future-proof workflows and maximize the reusability of your Python-based projects across teams.
This certification covers the following topics:
- Understanding the Model Context Protocol (MCP) and its core concepts
- MCP architecture: hosts, clients, and servers
- Exposing tools, resources, and prompts via MCP servers
- Transport mechanisms: Standard IO versus Server-Sent Events (SSE) over HTTP
- Leveraging the Python SDK for rapid MCP development
- Debugging and development with MCP Inspector
- Integrating MCP with language models, including OpenAI workflows
- Comparing MCP with traditional function calling approaches
- Deploying and scaling MCP servers using Docker
- Managing life cycle complexity in MCP-based systems
- Best practices for MCP development
- Evaluating trade-offs: MCP adoption versus traditional methods
