- Course overview
- Course details
- Prerequisites
Course overview
About this course
This course equips you with the skills to design robust context architectures that go beyond prompts—manage instructions, memory, tools, and knowledge for reliable AI behavior across sessions and workflows. Master the Write-Select-Compress-Isolate (W-S-C-I) framework to control relevance, reduce hallucinations, optimize token usage, and scale AI systems effectively. Gain hands-on skills in implementing context pipelines, RAG architecture, and memory systems that ensure grounded, accurate, and cost-efficient AI outputs.
Audience profile
- AI Engineers & LLM Developers
- Product Managers & AI Architects
- Data & Platform Engineers
- Enterprise & Solution Architects
- AI Consultants & Technical Leaders
- Advanced No-Code / Automation Builders
Course details
Module 1: Foundations of Context Engineering – Introduction
Module 2: Context Management Patterns & Techniques
Module 3: Context Pipelines, RAG & Grounding Architecture
Module 4: Optimization, Scaling & Enterprise Readiness
Module 5: Context Flow Design for Business Users (No-Code AI)
Module 6: Real-World Industry Context Applications
Module 7: Multi-Agent Orchestration & the Future
Module 8: Capstone Project & Certification
Prerequisites
- Familiarity with Python, Java, or similar languages.
- Basic knowledge of machine learning and AI.
- Ability to work with datasets and preprocessing techniques.
- Familiarity with Internet of Things applications.
- Basic knowledge of cloud-based AI services
Enquiry
Course : AI+ Context Engineering
Enquiry
request for : AI+ Context Engineering
