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AION 2Advanced Framework For C++ (Subscription Based)

Go beyond the basics: multi-agent orchestration in native C++, zero-copy retrieval pipelines, SIMD-accelerated inference routing and production-grade evaluation harnesses.

PR Created by Priya Raman

  • Last updated October 2026
  • English
  • 13h of material
  • 98 lessons

What you will learn

8 concrete outcomes

Every bullet below is something you will have built, shipped or be able to explain by the time you finish the last lesson.

  • Design multi-agent architectures in C++ with lock-free message passing and shared-nothing state
  • Implement retrieval-augmented generation with SIMD-accelerated search and memory-mapped indices
  • Build evaluation harnesses that profile recall, latency and memory pressure in one pass
  • Handle partial failures and resource cleanup deterministically using RAII throughout the agent graph
  • Define tool-use contracts using C++ concepts and constexpr validation for compile-time safety
  • Instrument an agent system with zero-allocation structured tracing exportable to OpenTelemetry
  • Choose between orchestration patterns based on latency and throughput requirements
  • Ship a document-grounded research assistant as a single statically-linked binary with sub-millisecond cold start

Course curriculum

8 modules · 98 lessons · 13h of material

14 lessons running 1h 48m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

12 lessons running 1h 32m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

14 lessons running 1h 50m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

12 lessons running 1h 36m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

14 lessons running 1h 44m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

12 lessons running 1h 30m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

10 lessons running 1h 20m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

10 lessons running 1h 20m in total. Each lesson ships with the finished source files and a short written recap, so you can follow along in your own editor and skim the module again later.

Lesson-by-lesson titles, code downloads and exercises live inside the course library you get access to straight after checkout.

8 modules · 98 lessons

13h total length

Requirements

Short list, and deliberately so. If you meet these you can start today.

  • Strong C++ skills: templates, move semantics, smart pointers, the standard library
  • Working knowledge of CMake or a similar build system
  • Familiarity with embedding models and vector search at a conceptual level

About this course

AION 2 is our proprietary C++ framework for building AI-powered applications at native speed. Available as a subscription, it gives you multi-agent orchestration, retrieval-augmented reasoning, and tool-use routing — all implemented in modern C++ with zero-overhead abstractions and deterministic memory management. This course teaches you how to build production systems on top of it.

AION 2Advanced is for C++ developers who already know the language well and want to ship AI applications that run at the performance ceiling. The first half covers the framework’s agent layer — how to decompose a complex task into cooperating agents, manage shared context through lock-free message passing, handle partial failures without leaking resources, and evaluate the whole pipeline with the built-in benchmarking harness.

The second half goes deep on AION 2’s retrieval stack: SIMD-accelerated embedding search, memory-mapped index shards for datasets that exceed RAM, hybrid dense/sparse retrieval with compile-time dispatch, and the evaluation framework that measures recall, latency and memory pressure in a single profiling pass. Every module builds on a running project — a document-grounded research assistant compiled to a single statically-linked binary.

The final section covers tool use at scale within the framework: type-safe function-call contracts via C++ concepts, sandboxed execution with seccomp-bpf, latency budgets enforced at the scheduler level, and the observability layer AION 2 provides — structured tracing with zero-allocation hot paths, exportable to OpenTelemetry.

Frequently asked questions

Still unsure about something? Write to misteryjj100@gmail.com and a human answers, usually the same working day.

No. You should already be comfortable calling an LLM API and working with embeddings. If you are starting from zero, take the foundations course first.

The project code is model-agnostic — you can use OpenAI, Anthropic or any provider that supports function calling and streaming.

Yes. The course walks through setup, but you need active API keys for at least one LLM provider and a vector database.

A full refund within 14 days of purchase, no questions asked. Email us with your order number.

Checkout is handled on our provider's secure payment page. The moment your payment clears we email your personal access link and access code to the address you used at checkout, and the same link appears in your account library. There is nothing to install and nothing to wait for.

Email misteryjj100@gmail.com within 14 days of your purchase, quote your order number, and we refund the full amount to your original payment method. No form to fill in and no questions about how much of the course you watched.

What students say

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Your instructor

PR

Priya Raman

Applied AI and machine-learning engineer

  • 236 students taught
  • 15 courses published
  • 4.3 instructor rating
  • Machine learning
  • RAG
  • Fine-tuning
  • LLM agents

Priya builds language-model features for a document-heavy SaaS product, which means she has taken retrieval and fine-tuning from a promising notebook to something on call at three in the morning. She teaches the mathematics only where it changes a decision you are about to make, and spends the rest of the time on data quality, evaluation and the cost of an agent that loops. Her courses run on a laptop and a modest API budget, so nobody has to rent a cluster to follow along. She publishes reproducible notebooks alongside every module.

$90 USD

One-time payment · lifetime access

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