Advanced Context Engineering & Production Systems
Advance your context engineering skills with MCP, memory architectures, and enterprise deployment. Learn MCP servers, tools, RAG prompting, and build production-ready, monitored context systems for local and cloud environments.
In partnership with
Overview
Building on the foundations from Course 1, this advanced course takes you into production-grade context engineering with a focus on the Model Context Protocol (MCP), advanced prompting strategies, memory architectures, and enterprise deployment patterns.
You'll master MCP servers and tools - the emerging standard for context integration - learning to use MCP through prompts and IDEs, invoke and customize tools, and deploy both local and cloud-scale MCP implementations. You'll then build custom MCP servers from scratch, creating tools, resources, and prompts that integrate seamlessly with existing agents and automation frameworks.
The course combines advanced prompting techniques for RAG systems with production memory architectures using tools like Upstash Redis, and culminates in building complete, monitored, enterprise-ready context systems that combine all the techniques you've learned
Skills you'll gain
Model Context Protocol (MCP)MCP Production-Grade PromptingEnterprise Memory ArchitecturesEnterprise Automation
What you'll learn
Implement and customize Model Context Protocol (MCP) servers and tools across different environments (IDEs, cloud, local), integrating them with existing agent frameworks and automation systems.
Design and build custom MCP servers with specialized tools, resources, and prompts that extend agent capabilities and integrate with enterprise systems.
Architect advanced prompting strategies and multi-layer memory systems for production RAG applications, ensuring reliable source attribution, conflict resolution, and persistent context across sessions.
Build, deploy, and monitor production-ready context-engineered systems that combine retrieval, reranking, memory, MCP integration, and observability tools for enterprise-scale applications.
Who Should Attend
Prerequisites
This course is designed for experienced developers, AI engineers, and IT professionals who have completed foundational context engineering training or have equivalent experience. Ideal learners are comfortable with Python, APIs, data structures, containerization, and cloud platforms, and are looking to build production-grade, enterprise-ready context systems using advanced prompting, memory architectures, and MCP frameworks.
Learners should have completed Course 1: Context Engineering Fundamentals or possess equivalent experience. They should be comfortable with Python programming, have experience with APIs and data structures, a basic understanding of Docker and containerization, and familiarity with cloud platforms such as AWS, Azure, or GCP.
Chapters
Explore a structured set of chapters designed to build your skills step by step, with practical examples and hands-on applications.
Meet your instructors
Manas Dasgupta
View my channelFrequently Asked Questions
How much do the courses at Starweaver cost?
We offer flexible payment options to make learning accessible for everyone. With our Pay-As-You-Go plan, you can pay for each course individually. Alternatively, our Subscription-Based plan provides you with unlimited access to all courses for a monthly or yearly fee.
Do you offer any certifications upon completion of a course at Starweaver?
Yes, we do offer a certification upon completion of our course to showcase your newly acquired skills and expertise.
Does Starweaver offer any free courses or trials?
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NEW
6 hours of video content
Downloadable resources
Certificate of completion
Desktop and Mobile access
Manas Dasgupta