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AI+ Context Engineering

Master AI+ Context Engineering for Production-Grade AI Systems

  • Context Strategy & Architecture: Learn how to design robust context architectures that go beyond prompts—managing instructions, memory, tools, and knowledge for reliable AI behavior across sessions and workflows.

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  • Building Context-Aware AI Systems: Gain hands-on skills in implementing context pipelines, RAG architecture, and memory systems that ensure grounded, accurate, and cost-efficient AI outputs.

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  • Context Management & Optimization: Master the Write-Select-Compress-Isolate (W-S-C-I) framework to control relevance, reduce hallucinations, optimize token usage, and scale AI systems effectively.

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  • Enterprise-Grade Context Integration: Learn how to integrate AI safely into enterprise environments with role-based access, compliance guardrails, secure memory, and conflict-free context orchestration.

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  • Future-Ready Agent & Workflow Design: Prepare for the next wave of AI by designing multi-agent systems, automated workflows, and context-driven architectures that remain reliable as models, tools, and scale evolve.

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Why This Certification Matters

  • Go beyond prompts Learn to engineer instructions, tools, memory, and state so AI behaves reliably.

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  • Production-ready systems Build RAG + context pipelines that reduce hallucinations and improve grounding.

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  • Scale with efficiency Master selection + compression to control token cost, latency, and performance.

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  • Enterprise-safe AI Apply PII controls, role-based filtering, and conflict resolution for compliant deployments.

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  • Real deliverable Complete a multi-agent capstone (n8n) with routing + calculations + policy RAG.

At a Glance: Course + Exam Overview

Program Name

Included

Duration

Prerequisites

Exam Format

Delivery

Outcome

AI+ Context Engineering

Instructor-led OR Self-paced course + Official exam + Digital badge

  • Instructor-Led: 1 day (live or virtual)

  • Self-Paced: 8 hours of content

A solid foundation in AI and machine learning concepts, proficiency in programming and data handling, familiarity with cloud platforms and IoT environments, and the ability to design, manage, and optimize contextual data, memory, and tool orchestration are essential for this course.

50 questions, 70% passing, 90 minutes, online proctored exam

Online labs, projects, case studies

Industry-recognized credential + hands-on experience

Who Should Enroll?

  • AI Engineers & LLM Developers: Built for practitioners who want to move beyond basic prompt engineering and design production-grade, context-aware AI systems using RAG, memory, tools, and orchestration patterns

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  • Product Managers & AI Architects: Ideal for professionals responsible for shipping reliable AI features who need to understand context pipelines, grounding, cost control, and system-level design tradeoffs rather than toy demos

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  • Data & Platform Engineers: For engineers working with vector databases, embeddings, retrieval systems, and AI infrastructure who want to architect scalable, efficient, and trustworthy context flows

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  • Enterprise & Solution Architects: Designed for architects building AI systems in regulated or large-scale environments who must manage security, compliance, cost optimization, and multi-agent orchestration

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  • AI Consultants & Technical Leaders: For professionals advising organizations on AI adoption who need a deep, practical understanding of why context—not just models—is the real differentiator in modern AI systems

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  • Advanced No-Code / Automation Builders: A strong fit for builders using tools like n8n, Make, or Zapier who want to design reliable AI workflows and agentic systems without writing heavy infrastructure code

Job Roles & Industry Outlook 

Executive Leader

Oversee AI initiatives, align them with business objectives, and drive innovation across departments using AI technologies.

Chief Officer

Set AI strategy, direct implementation, and ensure alignment with business goals to enhance operations, products, and services.

Executive Director

Guide AI strategy, oversee implementation and foster collaboration across departments to support organizational goals.

Corporate Strategy Leader

Develop AI strategies aligned with corporate goals, identify AI integration opportunities and guide decision-making for businesses.

What You'll Learn

Tools You'll Explore

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LangChain and LangGraph

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LlamaIndex

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Vector Databases (Pinecone, Chroma)

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n8n, Zapier, Make.com

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Embedding Models and RAG Pipelines

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No-Code Automation Platforms

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Enterprise Data and API Integrations

Prerequisites

  • Basic Programming Knowledge: Familiarity with Python, Java, or similar languages.

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  • Understanding of AI Concepts: Basic knowledge of machine learning and AI.

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  • Data Handling Skills: Ability to work with datasets and preprocessing techniques.

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  • Experience with IoT: Familiarity with Internet of Things applications.

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  • Familiarity with Cloud Platforms: Basic knowledge of cloud-based AI services

Exam Details

Duration

90 minutes

Passing Score

70% (35/50)

Format

50 multiple-choice/multiple-response questions

Delivery Method

Online via proctored exam platform (flexible scheduling)

Exam Blueprint:

  • Foundations of Context Engineering – 7%

  • Context Management Patterns & Techniques – 15%

  • The Context Pipeline, RAG, and Grounding Architecture – 15%

  • Optimization, Scaling, and Enterprise Readiness – 15%

  • Context Flow Design for Business Users (No-Code AI) – 12%

  • Real-World Industry Context Applications – 12%

  • Multi-Agent Orchestration & The Future – 12%

  • Capstone Project – 12%

Choose the Format That Fits Your Schedule

What’s Included (One-Year Subscription + All Updates):

  • High-Quality Videos, E-book (PDF & Audio), and Podcasts

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  • AI Mentor for Personalized Guidance

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  • Quizzes, Assessments, and Course Resources

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  • Online Proctored Exam with One Free Retake

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  • Comprehensive Exam Study Guide

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  • Access for Tablet & Phone

Instructor-Led (Live Virtual/Classroom)

  • 1 day of intensive training with live demos

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  • Real-time Q&A, peer collaboration, and hands-on labs

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  • Led by AI Certified Trainers and delivered through Authorized Training Partners

Self-Paced Online

  • ~8 hours of on-demand video lessons, e-book, podcasts, and interactive labs

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  • Learn anywhere, anytime, with modular quizzes to track progress

Frequently Asked Questions

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