IT course Advanced level

Context Engineering and Memory for AI Agents: Beyond Prompting

Engineer context and memory for AI agents: context anatomy, memory layers, retrieval, compaction, multi-agent systems and cost optimization. For 2026.

Lessons
25in 10 modules
Duration
~24 hself-paced
Quiz
356questions
Level
Advancedfor practitioners
  • In English
  • Updated on
Free preview · lesson 1 · no account needed The Limits of Prompting and Context as a New Discipline in 2026 Prompting got you this far, but it will not take you further. Read the preview

What you will learn

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-6.1 Sol, Gemini 4 Argon) 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 track.

What you need

Advanced level: assumes hands-on experience with AI in the course’s field.

Course curriculum

10 modules · 25 lessons · about 24 hours · 356 quiz questions

Read a free preview of lesson 1: “The Limits of Prompting and Context as a New Discipline in 2026” No account needed. See how a lesson is written before you pay.
  1. Module 1: Why Context Engineering: Beyond Prompting

    3 lessons · 2 h 36 min · 44 questions
    1. The Limits of Prompting and Context as a New Discipline in 2026 Free preview of the lesson “The Limits of Prompting and Context as a New Discipline in 2026” 52 min 16 questions
    2. The Context Window as a Finite Resource: Context Rot, Attention, and Budgeting 54 min 15 questions
    3. What "Context" Means in 2026: From Static Prompt to Dynamic Agent State 50 min 13 questions
  2. Module 2: The Anatomy of Context: The Components of the Inference Window

    3 lessons · 2 h 38 min · 44 questions
    1. System Prompt and Instructions: The Stable Layer of the Context 52 min 15 questions
    2. Examples, Conversation History, and Messages: The Accumulated Context 52 min 15 questions
    3. Tool Results and Retrieved Data: Dynamic Context at Runtime 54 min 14 questions
  3. Module 3: Memory Types for AI Agents

    3 lessons · 2 h 36 min · 44 questions
    1. Working/Short-Term Memory vs Long-Term: The Taxonomy of Agent Memory 52 min 15 questions
    2. Semantic Memory: Facts, Profiles, and Persistent Knowledge 52 min 15 questions
    3. Episodic and Procedural Memory: Experiences and Learned Behavior 52 min 14 questions
  4. Module 4: Memory Managers and Persistence: Extraction, Consolidation, Store

    3 lessons · 2 h 38 min · 44 questions
    1. Memory Stores and Persistence: Where and How Memory Lives 54 min 15 questions
    2. Extraction: How to Turn Conversations into Durable Memories 52 min 15 questions
    3. Consolidation: Deduplication, Updating, and Resolving Memory Conflicts 52 min 14 questions
  5. Module 5: Retrieval Strategies for Context: Vector, Graph, Relational, Hybrid

    3 lessons · 2 h 38 min · 44 questions
    1. Retrieval for Memory: What You Bring Into Context, and When 52 min 15 questions
    2. Vector vs Graph vs Relational: Three Memory Models and Their Trade-offs 54 min 15 questions
    3. The Hybrid Approach: Combining Strategies for Robust Memory 52 min 14 questions
  6. Module 6: Compaction and Context Window Management

    2 lessons · 1 h 46 min · 29 questions
    1. Summarization and Pruning: Compressing History Without Losing Signal 52 min 15 questions
    2. Sliding Window, Context Offloading, and External Notes 54 min 14 questions
  7. Module 7: Context Engineering for Multi-Step and Multi-Agent Systems

    2 lessons · 1 h 48 min · 30 questions
    1. Multi-Step Agents: Context on Long-Horizon Tasks 54 min 15 questions
    2. Multi-Agent Systems: Context Isolation, Sub-Agents, and Handoff 54 min 15 questions
  8. Module 8: Evaluating and Debugging Context and Memory

    2 lessons · 1 h 44 min · 29 questions
    1. How to Measure Whether Memory and Context Improve Reliability 52 min 15 questions
    2. Context Debugging: Observability, Traces, and Failure Modes 52 min 14 questions
  9. Module 9: Cost, Latency, Optimization and the Capstone Project

    3 lessons · 2 h 42 min · 43 questions
    1. Token Economics of Context: Cost, Latency, and Prompt Caching 54 min 15 questions
    2. Optimization Strategies: Token Budgeting and Trade-offs in Production 52 min 14 questions
    3. Capstone: An End-to-End Agent with Persistent Memory, Evaluated for Reliability 56 min 14 questions
  10. Module 10: Appendix: Official Resources, 2026 Updates and Learning Paths

    1 lesson · 34 min · 5 questions
    1. Official Resources, 2026 Updates, and Learning Paths 34 min 5 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.

How you learn

You read the lesson, ask the AI Professor right on the page and check what you remember.

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 AI Professor bar that appears in the lesson under the selected passage, with the actions “Explain this to me”, “Give me an example”, “Why does it matter?” and “My own question”
The first lines of lesson 1 of this course. Read the free preview, no account needed.
  1. 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.

  2. 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.

  3. 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.

  4. 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.

Example of a Cursuri AI Certificate of Completion with sample data: the serial number and the issue date in the top-right corner, the holder’s name, the course, the tier awarded, the percentage of lessons, the average score, the study time, the course version, the issuer and the verification QR code
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.

Verify a certificate
Pricing

Just this course, or more with this one included

A subscription by number of courses: 1, 3, 5, 10, 15 or 25 courses a month, or the full catalog. You pick them and can change them at every renewal; your progress and certificates stay. Billed monthly or yearly (12 months for the price of 10), 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.

How many courses a month?

This course goes first on your list; you pick the others in your account and can change them at every renewal.

Billing period
  1. 1 course Only this course

    €99 a course

    €99a month €990a year, 12 months of access

  2. 3 courses This one + 2 of your choice

    under €67 a course

    €199a month €1,990a year, 12 months of access

  3. 5 courses This one + 4 of your choice

    under €52 a course

    €259a month €2,590a year, 12 months of access

  4. 10 courses Recommended This one + 9 of your choice

    under €32 a course

    €319a month €3,190a year, 12 months of access

  5. 15 courses This one + 14 of your choice

    under €24 a course

    €359a month €3,590a year, 12 months of access

  6. 25 courses This one + 24 of your choice

    under €16 a course

    €399a month €3,990a year, 12 months of access

  7. Full catalog Nothing to pick, new courses included

    under €10 a course, across all 50

    €499a month €4,990a year, 12 months of access

Total prices, VAT included. Move up anytime and pay only the difference for the days left; move down at renewal. Renews automatically, you stop it anytime from your account; your progress and certificates stay. Digital content with immediate access: see the withdrawal terms.

Before you decide

Frequently asked questions

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-6.1 Sol, Gemini 4 Argon) 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?

This course alone: the 1 course plan, €99 per month. The course fits into every plan of the subscription, next to other courses you choose: for example 3 courses for €199, 10 courses for €319 (recommended) or the full catalog for €499 per month.

You pick your courses after paying and can change them at every renewal; starting from here, this one is already picked. Plans are billed in EUR, monthly or yearly (pay for 10 months, get 12). Every price is a total, with VAT included at the rate of your country. See all 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 every plan of your subscription, with a 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. The subscription renews 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. With the team library, the company admin picks 3, 5, 10, 15 or 25 courses a month, or the full catalog, for the whole team, from €49 per member per month, excl. VAT, for 5 members or more. A dashboard shows each member’s progress and manages seats centrally. Price it for your team.

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You can pick them together with this one in a 3, 5 or 10-course subscription (3 courses for €199 a month), and the full catalog includes them all. A single course is €99 a month.

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Start the course today, at your own pace

“Context Engineering and Memory for AI Agents: Beyond Prompting”: 25 lessons and about 24 hours of content, with your progress saved at every lesson.

  • Instant access after payment, on computer, tablet or phone.
  • AI Professor in every lesson, included in your subscription.
  • Certificate of Completion, publicly verifiable.

1-course subscription

€99/month

VAT included · stop the renewal anytime from your account

Start the course · €99/month Or 3 courses for €199/month, this one included