Context Engineering Fundamentals
Frustrated by shallow AI answers? Learn to think like a context engineer—design conversation flows, retrieval pipelines, and multi-agent systems with ethical, no-code tools in Flowise backed by modern AI.
Overview
Are you frustrated when AI tools give shallow, incomplete, or hallucinated answers - even though you're using powerful models?
In most real-world cases, the problem isn't the model. It's how information flows into the model: what context you send, how you structure it, how you retrieve it, and how your prompts instruct the system to use it.
This foundational course teaches you to think like a context engineer for AI systems. You'll learn how to design end-to-end context systems - from conversation flow and retrieval pipelines to multi-agent architectures and ethical AI considerations - using visual, no-code tools in Flowise backed by modern AI infrastructure.
Skills you'll gain
What you'll learn
Analyze and debug how AI agents use context by examining conversation state, token and context-window limits, and end-to-end context flow in Flowise and LangSmith - identifying where and why responses fail.
Design and implement effective retrieval pipelines by transforming user queries, applying multi-query strategies, chunking and embedding documents, and using vector databases, metadata filters, and rerankers to deliver the most relevant context to the model.
Evaluate and compare AI frameworks (CrewAI, LangGraph, Autogen) and hyperscaler AI services, and design multi-agent patterns for complex workflows involving research, summarization, and decision-making.
Implement ethical AI practices by identifying context vulnerabilities, designing appropriate guardrails, and applying mitigation strategies for context failures in production systems.
Who Should Attend
Prerequisites
This course is designed for IT professionals, developers, and AI enthusiasts who want to improve the quality of AI outputs. Ideal learners have some experience with AI/ML concepts, programming, or systems development and are interested in building context-aware, ethical AI solutions using no-code tools.
Learners should have basic knowledge of SQL and Python, an understanding of AI and ML fundamentals, and experience in IT systems development. Familiarity with generative AI concepts such as RAG, AI agents, and vector databases, as well as experience working with APIs and data structures, is also recommended.
Chapters
Explore a structured set of chapters designed to build your skills step by step, with practical examples and hands-on applications.
Segment 01: Course Introduction
Segment 02: Introduction to Context Engineering
Segment 03: Understanding AI Agents Context Flow
Segment 04: Building Your First Agent in Flowise
Segment 05: The Context Window Challenge
Segment 06: Debugging Context Flow with LangSmith
Segment 07: Managing Context with Token Analysis - Part 1
Segment 08: Managing Context with Token Analysis - Part 2
Segment 09: Hands-on Demo - Context-Aware Agent Development
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?
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.
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