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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 withPearson
Jun, 2026
6h
Core
Business
132 Students

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.

You need to enroll in this course to access the curriculum. Click 'Enroll' to get started!

Segment 01: Course Introduction

Segment 02: Introduction to Model Context Protocol

Segment 03: MCP Architecture Core Concepts

Segment 04: Using MCP in Agent Development (Prompts)

Segment 05: MCP Integration in IDEs (VS Code)

Segment 06: MCP Tool Invocation Customization

Segment 07: Local MCP Servers with Docker

Segment 08: Remote Cloud-Scale MCP Deployment

Segment 09: Hands-on Demo MCP Integration Pipeline

Meet your instructors

Manas Dasgupta

Manas Dasgupta

View my channel

Frequently 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?

No, we don't offer any free courses, but we do offer 5-day trial only on our subscriptions-based plans.

Are Starweaver's courses designed for beginners or advanced students?

Our course is designed with three levels to cater to your learning needs - Core, Intermediate, and Advanced. You can choose the level that best suits your knowledge and skillset to enhance your learning experience.

What payment options are available for Starweaver courses?

We accept various payment methods such as major credit cards, PayPal, wire transfer, and company purchase orders. For more information related to payments contact customer support.

Do you offer refunds?

Yes, we do offer a 100% refund guarantee for our courses within a specified time frame. If you are not satisfied with the course, contact our customer support team to request a refund with your order details. Some restrictions may apply.