AI Engineering Academy

Name: AI Engineering Academy
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PYTHON

Build production AI systems with LLMs. Master the OpenAI API, vector databases, RAG pipelines, function calling, MCP, and multi-agent orchestration.

🤖 AI-Powered📚 30 courses👥 100,000+ learners⭐ 4.9 rating

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Course Overview

AI Engineering: LLM, RAG & Agents

Build production AI systems with LLMs. Master the OpenAI API, vector databases, RAG pipelines, function calling, MCP, and multi-agent orchestration. This track covers 30 progressive mini-courses from absolute beginner (A1) through advanced (B2), with short focused lessons and quick quizzes to lock in each concept.

What You Will Learn

You will start with the fundamentals and build up through intermediate and advanced topics, each course building on the last. Every lesson is practical, with real examples and an AI tutor available when you need help.

How It Works

Each course is broken into four focused lessons. Complete a few lessons a day and you will master the full track in weeks, not months.

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Tools

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How You'll Learn

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Interactive Lessons

Hands-on coding exercises with real-time feedback

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Built-in Editor

Write and run code directly in your browser

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Certificate

Earn a certificate when you complete the course

Curriculum

30 Courses

Every course in the AI Engineering Academy learning path.

What Are Large Language Models?

A14 lessons

Understand the architecture and capabilities of large language models at a conceptual level. Learn how transformers, attention mechanisms,…

Your First OpenAI API Call

A14 lessons

Set up your Python environment and make your first real API call to OpenAI. Learn the chat completions endpoint, understand the request and…

Prompt Engineering Essentials

A14 lessonsPRO

Learn the core principles of writing effective prompts that reliably produce the output you need. Master zero-shot, few-shot, and chain-of-…

Tokens, Context Windows, and Cost

A14 lessonsPRO

Understand how LLMs process text through tokens and how the context window limits what a model can consider at once. Learn to estimate and…

Structured Output and JSON Mode

A14 lessonsPRO

Force LLMs to return machine-readable JSON that your application can reliably parse. Learn OpenAI's JSON mode, structured outputs with Pyda…

Working With Embeddings

A24 lessonsPRO

Discover how text embeddings transform words and sentences into numerical vectors that capture semantic meaning. Learn to generate embeddin…

Vector Databases: Pinecone and pgvector

A24 lessonsPRO

Move beyond in-memory similarity search and store millions of vectors in a production-ready database. Learn to set up Pinecone and pgvector…

RAG: Retrieval-Augmented Generation Basics

A24 lessonsPRO

Understand why RAG exists and how it solves the knowledge cutoff and hallucination problems of pure LLMs. Learn the core retrieve-then-gene…

Building a Simple RAG Pipeline

A24 lessonsPRO

Build a working end-to-end RAG system from scratch in Python. Ingest PDF documents, chunk and embed them, store vectors in a database, retr…

Evaluating Your RAG System

A24 lessonsPRO

Learn how to measure whether your RAG pipeline is actually working. Implement retrieval metrics like precision and recall, generation metri…

LangChain Chains and Runnables

B14 lessonsPRO

Master LangChain's LCEL (LangChain Expression Language) to compose LLM pipelines from reusable components. Learn the Runnable interface, bu…

LangChain Memory and Chat History

B14 lessonsPRO

Add persistent memory to your LangChain applications so conversations feel coherent across multiple turns. Learn different memory strategie…

ReAct Agents and Tool Calling

B14 lessonsPRO

Build agents that reason about which tool to call next, execute actions, observe results, and iterate until the task is complete. Understan…

Function Calling with OpenAI

B14 lessonsPRO

Use OpenAI's native function calling feature to reliably extract structured data and trigger application logic from natural language. Learn…

MCP: Model Context Protocol

B14 lessonsPRO

Learn the Model Context Protocol, the open standard that lets LLMs securely connect to external tools, databases, and services. Build an MC…

Advanced Chunking Strategies

B14 lessonsPRO

Go beyond naive fixed-size chunking and implement sophisticated strategies that preserve semantic coherence and improve retrieval accuracy.…

Hybrid Search: Dense and Sparse

B14 lessonsPRO

Combine dense vector search with sparse keyword search to capture both semantic meaning and exact term matches. Learn BM25, reciprocal rank…

Multi-Stage RAG and Re-ranking

B14 lessonsPRO

Improve RAG accuracy by adding a re-ranking stage that reorders initial retrieval results using a cross-encoder model. Learn multi-stage re…

LLM Streaming and Async Responses

B14 lessonsPRO

Build responsive AI applications that display tokens as they stream from the API rather than waiting for the complete response. Learn the s…

LLM Caching and Cost Optimization

B14 lessonsPRO

Dramatically reduce API costs and latency by implementing caching at multiple levels of your LLM pipeline. Learn exact and semantic caching…

Multi-Agent Systems and Orchestration

B24 lessonsPRO

Design systems where multiple specialized AI agents collaborate to solve complex tasks that no single agent can handle alone. Learn orchest…

Building a Code Execution Agent

B24 lessonsPRO

Build an agent that writes Python code, executes it in a sandboxed environment, reads the output, fixes errors, and iterates until the task…

LLM Observability and Tracing

B24 lessonsPRO

Gain deep visibility into every step of your LLM application with structured tracing, logging, and monitoring. Learn LangSmith, Langfuse, a…

Prompt Injection and AI Security

B24 lessonsPRO

Understand and defend against the unique security threats that affect LLM-powered applications. Learn prompt injection attacks, jailbreaks,…

Fine-Tuning LLMs with LoRA

B24 lessonsPRO

Adapt a pre-trained language model to your specific domain using LoRA (Low-Rank Adaptation) without needing hundreds of GPUs. Learn when fi…

Structured Data Extraction at Scale

B24 lessonsPRO

Build production pipelines that extract structured information from thousands of documents, emails, contracts, and web pages reliably. Lear…

LLM in Production: Latency and Reliability

B24 lessonsPRO

Deploy LLM applications that stay fast and reliable under real production load. Learn load balancing across multiple API keys, fallback pro…

Evaluation Frameworks: LLM-as-Judge

B24 lessonsPRO

Use powerful LLMs as automated judges to evaluate the quality of other LLM outputs at scale. Learn the LLM-as-judge pattern, implement pair…

Agentic Workflows and Self-Healing Agents

B24 lessonsPRO

Design agents that detect their own failures, diagnose the root cause, and attempt recovery without human intervention. Learn error classif…

Capstone: Production AI Engineering Project

B24 lessonsPRO

Apply everything from the track to build and ship a production-grade AI engineering project. Architect a system combining RAG, function cal…

FAQ

Frequently Asked Questions

Is the AI Engineering Academy course free?

Yes. You can start the AI Engineering Academy course for free and complete its interactive lessons at no cost. An optional PRO subscription unlocks advanced AI tools and a shareable certificate.

Do I need prior experience to learn PYTHON?

No. The course begins with the fundamentals and gradually moves to more advanced topics, so you can start even with no prior PYTHON experience.

How will I learn PYTHON on CoddyKit?

You learn by doing. Short interactive lessons pair a clear explanation with a hands-on coding exercise that runs in real time, and a 24/7 AI tutor gives personalized help whenever you get stuck.

Do I get a certificate for completing AI Engineering Academy?

Yes. PRO learners can take an exam and earn a shareable certificate of completion with a verifiable code for the AI Engineering Academy course.

Can I learn PYTHON on my phone?

Yes. CoddyKit is available on the web and as native iOS and Android apps, so you can learn PYTHON on any device and your progress syncs across them.

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