Alexey Grigorev – AI Engineering Buildcamp: From RAG to Agents

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Alexey Grigorev – AI Engineering Buildcamp: From RAG to Agents

Most AI learners hit the same wall:

they understand prompts, maybe even build a chatbot… but can’t turn it into a real product.

AI Engineering Buildcamp: From RAG to Agents is designed specifically to break that barrier by teaching you

how to move from toy demos → production-grade AI systems.

This is not a theory course.

The course is structured as a buildcamp where every concept is tied to an actual system you deploy.

The Core Transition: From RAG Pipelines → Autonomous AI Agents

At the center of AI Engineering Buildcamp is a progression that mirrors how modern AI systems are built:

static AI → data-aware AI → action-taking AI

The learning path follows this evolution:

Start with LLM fundamentals

Add Retrieval-Augmented Generation (RAG)

Extend into agent systems with tools and actions

Build full applications with monitoring and evaluation

This reflects how real-world AI systems are evolving beyond simple text generation into

multi-step, decision-making workflows

A Build-First Curriculum (Not Passive Learning)

One of the defining traits of the training is its heavy emphasis on building.

Instead of watching lessons, you actively create:

RAG pipelines using real datasets

Conversational AI assistants

Tool-using agents with function calling

End-to-end AI applications

By the end, you’ve completed multiple working systems, not just exercises

The Engineering Stack You Actually Work With

Unlike beginner AI courses, the course introduces real tools used in production environments.

You’ll work with:

OpenAI APIs for model integration

Vector search and retrieval systems

Agent frameworks (function calling, MCP)

Observability tools like Grafana and OpenTelemetry

Evaluation tools for testing outputs

This aligns the course with real AI engineering workflows — not simplified demos

From “It Works” → “It’s Reliable”

A major gap in most AI education is reliability.

AI Engineering Buildcamp: From RAG to Agents focuses heavily on solving that.

You’ll learn how to:

Test AI outputs systematically

Compare prompts and models using evaluation metrics

Monitor performance in real time

Add guardrails to prevent misuse

This transforms AI from something that “sometimes works” into something you can actually deploy.