DeVenture Academy — AI engineering courses built around labs you run and check

DeVenture Academy teaches AI engineering, and is operated by DeVenture Inc. (Irvine, California). 35 courses and builds across 6 career paths, 1,117 written lessons, and 963 hands-on labs. Labs run on your own machine, against your own Python and API keys, and ship with checks you run through an MIT-licensed CLI published on npm, its source included in the package, before you have an account. On 406 labs the checks call your code and test what it returns; on the rest they confirm your deliverables exist and run. The checks run on your machine and are not proctored.

Create a free account — the opening phases of 29 of 35 courses are free, no credit card. Or see Pro pricing.

How it works

• Read a focused lesson. Text, not video. Each lesson opens with a real problem, walks through the code, and keeps things skimmable and searchable so you can come back to them.
• Run the paired lab and check it. Hands-on labs run on your own machine, against your own Python and API keys — then `npx deventure verify` runs the lab's checks. Some labs test what your code returns; most confirm the deliverables exist, parse and run. Short exercises run in the browser instead, and open-ended design work comes with a rubric to check yourself against.
• Ship a working system you own. Longer courses end in portfolio projects with real evaluation reports — an artifact you can show, explain, and defend in an interview. A course certificate records every lesson and lab you completed, and the labs that support server verification must pass it.

Courses

• ML & AI Engineering — From Python basics to production ML and AI systems
• Agentic AI Engineering — Design, build, evaluate, and deploy production-grade AI agents
• AI Security & Red Teaming — Secure, red-team, and defend production AI systems
• Forward Deployed AI Engineering — Embed inside enterprise clients, scope ambiguous problems, ship production AI on their infrastructure
• Voice & Conversational AI Engineering — Build, deploy, and optimize production-grade real-time voice AI agents
• Generative Media Engineering — Build, orchestrate, and deploy production-grade generative media pipelines
• AI Product Management — Ship AI features people actually trust, from opportunity to launch
• Testing AI-Written Code — Verify, test, and ship code from AI coding assistants with confidence
• Responsible AI Engineering — Build a deployable AI audit toolkit: bias detection, explainability, privacy and governance in one pipeline
• Math for AI & ML — The math behind every ML algorithm, built in code rather than on paper
• Core ML: Algorithms from Scratch — Build every classic ML algorithm by hand, then verify against scikit-learn
• Deep Learning from Scratch — Build your own mini PyTorch: autograd, layers and training loops from the ground up
• Transformers & LLMs from Scratch — Pre-train a real 124M parameter GPT: tokenizer, data pipeline, training and evaluation
• Computer Vision Engineering — From convolutions to ViTs. Build models that see
• NLP & Speech Processing — From word embeddings to voice AI. Build models that understand language
• Generative AI Fundamentals — From GANs to diffusion to flow matching. Build and customize generative AI systems
• Reinforcement Learning — From bandits to RLHF. Build agents that learn by doing
• Multimodal AI Systems — From CLIP to GPT-4V. Build models that see, hear and read
• Programming & CS Foundations — How to think like a programmer, from zero, before any AI or math content
• Engineering Practices & Tooling — The Missing Semester for AI Engineers: git, the command line, APIs and the craft real jobs assume you have
• Quantitative Foundations — Algebra, functions and the math comfort you need before Math for AI & ML
• Data Analysis & Visualization — pandas, NumPy, and the daily skill of turning real messy data into an answer
• LLM Inference & Production Infrastructure — Serve a model in production: paged attention, continuous batching, quantization, goodput, and the cost per million tokens
• Autonomous Agents & Frontier Safety — Agents that run for hours, rewrite their own code, and have to be stoppable: autonomy, self-improvement, containment, and governance
• Multi-Agent Systems & Swarms — When a second agent earns its cost, which topology to use, how agents reach agreement, and how multi-agent systems fail
• AI Engineering Capstone Projects — Seventeen complete systems to build and ship: coding agents, production RAG, voice, video, fine-tuning, observability, and safety
• AI Systems Build Tracks — Eight systems built one tested piece at a time: an agent harness, a research agent, a VLM, advanced RAG, an eval runner, pretraining and distributed training, and a safety gate

Builds

• Prompt Engineering Mastery — Get dramatically better results from any AI, for work or your side hustle
• Vibe Coding — Build real apps with AI. Describe, review, debug and ship without writing code from scratch
• Build Your First AI Agent from Scratch — A weekend build: a terminal agent that plans, calls tools and remembers. No frameworks
• Build Your Own MCP Server — Give Claude access to your own data and tools. No framework required
• Build an Autonomous Coding Agent — Your own Claude Code: plan, edit, test and commit, built from scratch
• Build a Multi-Agent Research Team — 5 specialist agents, 3 running in parallel, one cited report
• Master Claude Code for Production Shipping — CLAUDE.md, hooks, subagents and CI, configured on your own real repo
• Security Review for Vibe Coders — The 5 checks, and the exact prompts, that stop a vibe-coded app becoming a breach headline

Pricing

Pro can start with a 3-day free trial. The trial requires a card and bills automatically when it ends unless you cancel first — $29 (monthly) or $279 (annual). The free tier, by contrast, needs no card and never expires. 14-day money-back guarantee on your first Pro payment. Cancel anytime.

• Free opening phases in 29 of 35 courses — full lessons and labs, no credit card
• The first lesson of every phase, in every course
• Tools directory & glossary
• One rotating Defend Your Work scenario
• Sample lessons previewable without signing up

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