ML AI DATA SCIENCE

<AI Engineering>
for the Real World

Master production AI engineering with hands-on courses covering open source models and commercial APIs.

tools-theory:~$
$
LATENCY
247ms
TOKENS/SEC
43.2
COST
$0.003
12 courses
24 tutorials
5.2k engineers
AI Model Playground

Test AI Models
Instantly

Compare performance, latency, and cost across different AI models. No API keys required - just click and experiment.

Quick Prompts

Input
0 / 4000
RESPONSE TIME
--
TOKENS
--
COST
--

GPT-4

Online
Context Length
128K tokens
Type
Commercial
Input Cost
$0.03/1K
Output Cost
$0.06/1K
Response
Response will appear here...

Performance Benchmarks

94.2%
HumanEval Pass Rate
GPT-4
1.8s
Avg Response Time
Claude 3
$0.002
Cost per 1K tokens
Llama 2 (local)
45.2
Tokens/second
Mistral 7B
Learning Paths

AI Engineering
Courses

Comprehensive learning paths designed for software engineers ready to master AI development in production environments.

AI Fundamentals

BEGINNER

Master core ML concepts, neural networks, and deep learning from a software engineer's perspective.

8 modules ~12 hours

Open Source Models

INTERMEDIATE

Work with Llama, Mistral, CodeLlama. Self-hosting, fine-tuning, and deployment strategies.

12 modules ~18 hours

Commercial AI APIs

INTERMEDIATE

Master GPT-4, Claude, Gemini and other commercial APIs. Integration patterns, cost optimization, and production deployment.

10 modules ~15 hours

Production AI Systems

ADVANCED

Build scalable AI applications. MLOps, monitoring, A/B testing, and deployment patterns for real-world AI systems.

14 modules ~22 hours

AI Product Development

INTERMEDIATE

Learn the product side of AI. User research, product strategy, AI UX patterns, and building AI features users love.

9 modules ~14 hours

AI Security & Ethics

ALL LEVELS

Responsible AI development. Security best practices, bias detection, privacy considerations, and ethical AI frameworks.

6 modules ~10 hours
Free Resources

Quick Start
Tutorials

Get hands-on with AI engineering through our comprehensive collection of free tutorials and practical guides.

Getting Started

./first_ai_app

Build a simple chat application using OpenAI's API. Learn the fundamentals of prompt engineering and API integration.

> 15 min read
Open Source

./run_llama_local

Set up and run Meta's Llama model on your local machine using Ollama. Perfect for development and experimentation.

> 20 min read
API Integration

./claude_best_practices

Learn advanced techniques for working with Claude's API including streaming, function calling, and cost optimization.

> 25 min read
Vector DB

./build_rag_system

Create intelligent document search using vector embeddings and retrieval-augmented generation with Pinecone and OpenAI.

> 30 min read
Deployment

./deploy_to_vercel

Deploy your AI applications to production using Vercel's AI SDK and edge functions for optimal performance.

> 18 min read
Security

./ai_security_101

Protect your AI applications from common vulnerabilities including prompt injection and data leakage.

> 22 min read
Model Comparison

Open Source vs Commercial AI Models

Understand the tradeoffs and learn when to use open source models vs commercial APIs for your AI applications

Open Source Models

Full control over model and data
No usage costs after setup
Customizable and fine-tunable
Privacy and security control

Popular Models:

Llama 2/3 Mistral CodeLlama Phi-3 Gemma
Best for:

High-volume applications, sensitive data, custom use cases, and when you need full control over the AI pipeline.

Commercial APIs

Cutting-edge performance
No infrastructure management
Instant deployment
Regular model updates

Popular APIs:

GPT-4 Claude Gemini GPT-3.5 PaLM
Best for:

Rapid prototyping, complex reasoning tasks, customer-facing applications, and when you need the latest AI capabilities.

Quick Comparison

Aspect Open Source Commercial
Setup Time Hours to Days Minutes
Cost Structure Infrastructure Per Token
Data Privacy Full Control Provider Dependent
Performance Good Excellent
Customization High Limited
🚀

Start Your AI Engineering Journey

Join thousands of software engineers mastering AI development. From open source models to commercial APIs, we'll guide you every step of the way.

Free to start
Real-world projects
Community support