The course’s skills. The same ones appear on your Certificate of Completion, so you can show what you covered.
Why Context Engineering: Beyond Prompting
The Anatomy of Context: The Components of the Inference Window
Memory Types for AI Agents
Memory Managers and Persistence: Extraction, Consolidation, Store
Retrieval Strategies for Context: Vector, Graph, Relational, Hybrid
Compaction and Context Window Management
Context Engineering for Multi-Step and Multi-Agent Systems
Evaluating and Debugging Context and Memory
About the course
An advanced program for AI/ML engineers and software engineers building agents and LLM applications who want to move beyond prompting toward the systematic engineering of context and memory. You learn to treat the context window as a finite resource that must be budgeted and kept clean, to decompose the anatomy of context (system prompt, instructions, examples, conversational history, tool results, retrieved data) and to design memory layers for agents: working/short-term, semantic, episodic and procedural. Covers memory managers and persistence (extraction, consolidation, LangMem-style memory store patterns), retrieval strategies for context (vector vs graph vs relational and the hybrid approach), compaction and window management (summarization, pruning, sliding window, context offloading), context engineering for multi-step agents and multi-agent systems, plus reliability evaluation, cost and token economics, prompt caching and optimization. Everything anchored in official Anthropic, OpenAI and LangChain (LangMem and LangGraph) documentation and the DeepLearning.AI course, with 2026 models (Claude Opus 5.5, GPT-6 Sol, Gemini 3.1 Pro) and a capstone project: an end-to-end agent with persistent memory, evaluated for reliability. The technical content is informational and versions the APIs and models, which may change.
Who it is for
For developers, engineers and technical professionals who build or integrate AI solutions. It belongs to AI Engineering, on the IT Pro track.
What you need
Advanced level: assumes hands-on experience with AI in the course’s field.
The Context Window as a Finite Resource: Context Rot, Attention, and Budgeting54 min15 questions
What "Context" Means in 2026: From Static Prompt to Dynamic Agent State50 min13 questions
2
Module 2: The Anatomy of Context: The Components of the Inference Window
3 lessons · 2 h 38 min · 44 questions
System Prompt and Instructions: The Stable Layer of the Context52 min15 questions
Examples, Conversation History, and Messages: The Accumulated Context52 min15 questions
Tool Results and Retrieved Data: Dynamic Context at Runtime54 min14 questions
3
Module 3: Memory Types for AI Agents
3 lessons · 2 h 36 min · 44 questions
Working/Short-Term Memory vs Long-Term: The Taxonomy of Agent Memory52 min15 questions
Semantic Memory: Facts, Profiles, and Persistent Knowledge52 min15 questions
Episodic and Procedural Memory: Experiences and Learned Behavior52 min14 questions
4
Module 4: Memory Managers and Persistence: Extraction, Consolidation, Store
3 lessons · 2 h 38 min · 44 questions
Memory Stores and Persistence: Where and How Memory Lives54 min15 questions
Extraction: How to Turn Conversations into Durable Memories52 min15 questions
Consolidation: Deduplication, Updating, and Resolving Memory Conflicts52 min14 questions
5
Module 5: Retrieval Strategies for Context: Vector, Graph, Relational, Hybrid
3 lessons · 2 h 38 min · 44 questions
Retrieval for Memory: What You Bring Into Context, and When52 min15 questions
Vector vs Graph vs Relational: Three Memory Models and Their Trade-offs54 min15 questions
The Hybrid Approach: Combining Strategies for Robust Memory52 min14 questions
6
Module 6: Compaction and Context Window Management
2 lessons · 1 h 46 min · 29 questions
Summarization and Pruning: Compressing History Without Losing Signal52 min15 questions
Sliding Window, Context Offloading, and External Notes54 min14 questions
7
Module 7: Context Engineering for Multi-Step and Multi-Agent Systems
2 lessons · 1 h 48 min · 30 questions
Multi-Step Agents: Context on Long-Horizon Tasks54 min15 questions
Multi-Agent Systems: Context Isolation, Sub-Agents, and Handoff54 min15 questions
8
Module 8: Evaluating and Debugging Context and Memory
2 lessons · 1 h 44 min · 29 questions
How to Measure Whether Memory and Context Improve Reliability52 min15 questions
Context Debugging: Observability, Traces, and Failure Modes52 min14 questions
9
Module 9: Cost, Latency, Optimization and the Capstone Project
3 lessons · 2 h 42 min · 43 questions
Token Economics of Context: Cost, Latency, and Prompt Caching54 min15 questions
Optimization Strategies: Token Budgeting and Trade-offs in Production52 min14 questions
Capstone: An End-to-End Agent with Persistent Memory, Evaluated for Reliability56 min14 questions
10
Module 10: Appendix: Official Resources, 2026 Updates and Learning Paths
1 lesson · 34 min · 5 questions
Official Resources, 2026 Updates, and Learning Paths34 min5 questions
By email
Email me the course syllabus
Modules and lessons in order, plus the link to the preview of lesson 1 — so you can decide at your own pace.
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How you learn
You read the lesson, ask the AI Professor right on the page and check what you remember.
Lesson 1 · 52 min
The Limits of Prompting and Context as a New Discipline in 2026
Prompting got you this far, but it will not take you further.
The first lines of lesson 1 of this course.
Read the free preview, no account needed.
You read the lesson at your own pace
Written lessons, with examples and exercises. Your progress is saved automatically, so you can pick up where you left off.
You ask the AI Professor inside the lesson
Select a passage and it explains it, gives you an example or tells you why it matters. You can type or talk to it, in English.
You check what you remember
Every lesson has its own quiz, with explanations for the answers: 356 questions across the course. The professor also summarizes the lesson and prepares review flashcards.
You get the Certificate of Completion
Once you complete the lessons and reach the minimum quiz score, you issue it from your account, with a unique number, publicly verifiable.
The AI Professor is included in your subscription, per-course access included, with a monthly fair-use limit. It is an AI system, not a human teacher, and its answers may contain errors; details in the Terms. See how the AI Professor works.
You leave with proof anyone can check
The Certificate of Completion for “Context Engineering and Memory for AI Agents: Beyond Prompting”: a private attestation with a unique number and a QR code. A recruiter confirms it is authentic on the public verification page, with no account and no cost.
The real document, an A4 PDF, shown here with sample data. Yours carries your name, the course “Context Engineering and Memory for AI Agents: Beyond Prompting”, the serial number, the issue date and the tier you earned; the QR code in the image is decorative.
Anyone can verify it
Public verification page, QR code and cryptographic fingerprint, with no account for the person checking.
You show it where it counts
Add it to your CV and LinkedIn profile; a recruiter confirms authenticity with one click.
It says exactly what it attests
The course, the tier you earned (Pass, Merit or Distinction), the serial number and the issue date, plus the percentage of lessons completed.
A private attestation of course completion. It is NOT a diploma or a state-recognised qualification under Romanian Laws 198/2023, 199/2023 or Government Ordinance 129/2000; employers may take it into account at their own discretion. Certification policy.
Pricing
Just this course or the whole IT Pro track
Billed monthly, in EUR. You can stop the renewal anytime from your account, and access starts right after payment. Prices are totals, with VAT included at the rate of your country.
Just this course
Context Engineering and Memory for AI Agents: Beyond Prompting
€99per month, VAT includedNo commitment: stop the renewal anytime
Subscriptions renew automatically; you can stop the renewal anytime from your account, and access stays until the end of the period already paid for. As digital content with immediate access, see the withdrawal conditions.
About the course, the price, the AI Professor and the certificate.
What will I learn in “Context Engineering and Memory for AI Agents: Beyond Prompting”?
An advanced program for AI/ML engineers and software engineers building agents and LLM applications who want to move beyond prompting toward the systematic engineering of context and memory. You learn to treat the context window as a finite resource that must be budgeted and kept clean, to decompose the anatomy of context (system prompt, instructions, examples, conversational history, tool results, retrieved data) and to design memory layers for agents: working/short-term, semantic, episodic and procedural. Covers memory managers and persistence (extraction, consolidation, LangMem-style memory store patterns), retrieval strategies for context (vector vs graph vs relational and the hybrid approach), compaction and window management (summarization, pruning, sliding window, context offloading), context engineering for multi-step agents and multi-agent systems, plus reliability evaluation, cost and token economics, prompt caching and optimization. Everything anchored in official Anthropic, OpenAI and LangChain (LangMem and LangGraph) documentation and the DeepLearning.AI course, with 2026 models (Claude Opus 5.5, GPT-6 Sol, Gemini 3.1 Pro) and a capstone project: an end-to-end agent with persistent memory, evaluated for reliability. The technical content is informational and versions the APIs and models, which may change.
The course has 10 modules and 25 lessons, with 356 quiz questions. The full curriculum, module by module, is shown on the course page.
Do I need prior experience for this course?
Yes. The course is Advanced level and assumes hands-on experience with AI in its field.
How long does the course take?
The estimated duration is about 24 hours, across 25 lessons. You learn at your own pace, and your progress is saved automatically at every lesson, so you can pick up where you left off.
How much does it cost, and which plan do I need?
Access to this course alone costs €99 per month. The course is also included in the IT Pro bundle, €399 per month for all 25 IT Pro courses, and in All Access, €499 per month for the whole international catalog.
Plans are billed monthly, in EUR. Every price is a total, with VAT included at the rate of your country. Compare the plans.
Can I read part of the course before paying?
Yes. You can read a free preview of lesson 1, “The Limits of Prompting and Context as a New Discipline in 2026”, without an account. The preview shows you how the lesson is written; the rest of the lesson and the other lessons open after payment.
How does the AI Professor help me in this course?
The AI Professor is built into every lesson and starts from the lesson you have open: it explains the passages you select, gives you examples, summarizes the lesson, tests you with a quiz and prepares review flashcards. You can type or talk to it, in English.
It is included in your subscription, per-course access included, with a monthly fair-use limit. It is an AI system, not a human teacher, and its answers may contain errors; details in the Terms.
Do I get a certificate when I finish the course?
When you meet the completion thresholds shown on the platform (lessons completed and the minimum quiz score), you can issue your Certificate of Completion for “Context Engineering and Memory for AI Agents: Beyond Prompting” from your account, with a unique number, publicly verifiable on the site.
It is a private attestation of course completion, issued by GALIAN SOFTWARE DEVELOPMENT SRL. It is NOT a diploma or a state-recognised qualification under Romanian Laws 198/2023, 199/2023 or Government Ordinance 129/2000; employers may take it into account at their own discretion. Details in the Certification policy.
Does the subscription renew automatically? How do I stop it?
Yes. Course access and the bundles are subscriptions that renew automatically at the end of each monthly billing period. You can see the next renewal date in your account at any time.
You can stop the renewal at any time, from your account or by email, with no other formality. Access stays active until the end of the period already paid for, and no pro-rata refund is made for a period already started, except in the cases provided by law. Your progress stays saved in your account. Details in the Terms & Conditions, section 5.5.
Can my company buy this course for a team?
Yes. Company plans give a team access to the courses, with a dashboard where you follow each member’s progress and manage seats centrally. See the plans for companies.
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