Master AI Engineering
From Zero to Production
Rigorous, portfolio-driven curriculum designed to bridge the AI engineering talent gap.
Build real systems with PyTorch, LLMs, and AI agents — all Colab-ready in the beginning, no setup required to get started.
AI engineering is one of today’s most valued skills and offers outstanding job prospects,
as widely reported in the financial press (see also Talent War).
Choose Your Learning Path
Flexible tracks designed for different schedules and learning speeds. All paths lead to the same comprehensive skillset.
Fast Track
- Going all in
- Full-time commitment
- Live orientation sessions (recorded)
- Rapid skill acquisition
- Perfect for bootcamp pace
Medium Track
- Part-time compatible
- 2 weeks per module
- Slower exploration
- More practice time
- Ideal for working professionals
Self-Paced
- Learn at your own speed
- Full content access
- Optional grading
- Flexible schedule
- Perfect for busy schedules
Dual-Track Curriculum
Master both theoretical foundations and practical engineering skills through our parallel track system.
Core Track
Engineering Track
Books
The program includes living, coherently composed books (HTML, PDF) for both tracks. Expand a title to see what each book covers. Each book contains a lot of examples, visualizations, exercises, and helpful learning elements. None of these books is publically available.
Core Track
Python & Mathematics for ML & DL (~300 pages)
An integrated, hands-on introduction that teaches Python and the essential math together — vectorization, linear algebra, calculus, optimization — applied immediately to ML/DL tasks. The ideal bridge from “basic coding” to serious machine learning.
Deep Learning Basics with PyTorch (~250 pages)
A practical, end-to-end path through modern supervised learning: datasets, models, training loops, regularization, schedulers, and evaluation. Learn to build, debug, and optimize PyTorch models that actually work.
Building a Large Language Model from Scratch (~200 pages)
Understand transformers by implementing them step by step: tokenization, attention, architecture, training, and sampling. Demystifies LLMs so you can reason about trade-offs, improve performance, and customize models for real use cases.
AI Agents & Automation (~150 pages)
From tool use to orchestration — design agents that plan, reason, and interact with APIs and external systems. Learn to control cost, latency, and reliability when deploying multi-step AI systems.
Engineering Track
Python Primer for Data Science and Deep Learning (~100 pages)
Set up Python the right way and build solid habits fast: environments, packaging, testing, and project structure. This slim primer removes tooling friction so you can focus on learning and ship reliable code from day one.
Mathematics for Machine & Deep Learning (~170 pages)
A rigorous, proof-aware treatment of the core theory: linear algebra, multivariate calculus, convex/stochastic optimization, probability, information, kernels, and numerics. Builds deep intuition and the mathematical confidence needed for advanced research and engineering.
Mathematics Supplementary Resources (~50 pages)
A concise Practitioner's Summary and a Visual Guide to the main notions and results covered in Mathematics for Machine & Deep Learning.
Software, ML & AI Engineering (~100 pages)
Turn experiments into production systems: APIs, containers, CI/CD, data & feature pipelines monitoring/drift, RAG, agents, scaling/latency, and governance. The playbook for deploying reliable, cost-efficient AI at scale.
Why The AI Engineer?
Everything you need to become a production-ready AI engineer, with zero friction. Don't spend hundreds of hours on YouTube and get lost — follow a structured path instead.
Colab-Ready Everything
One-click notebooks with pinned dependencies. No setup, no environment issues. GPU-optimized with automatic fallbacks.
Portfolio-Driven
Build a GitHub portfolio with real projects. Every capstone is interview-ready, demonstrating production skills.
Tailored Books
Custom, track-specific textbooks for both the Core and Engineering tracks — 1,000+ pages combined — designed to guide you from fundamentals to production, step by step.
Practical Capstones
Implement regression from scratch, train custom models, build GPT architectures, and deploy AI agents with guardrails.
Production Focus
Learn testing, CI/CD, containerization, monitoring, and cost optimization — skills that separate engineers from researchers.
Open Source Stack
Master the Python scientific stack for ML/DL, PyTorch for DL and LLMs, and industry-standard tools. No vendor lock-in, just pure engineering skills.
Discord Server
Always-on community for support, networking, and feedback — get help fast, find collaborators, join office hours, and stay motivated alongside your cohort.
Certificate
Earn a certificate for a series of completed capstones in your project portfolio. Demonstrate your skills with concrete achievements.
The Highest Paid Skill on Earth
Leading companies are competing aggressively for AI engineering talent — compensation packages and demand reflect just how pivotal these skills are for modern products and research.
He’s offered more than 10 of OpenAI’s researchers eye-watering pay packages of $300 million over four years, including $100 million the first year, according to people familiar with the matter.
Young A.I. researchers are being recruited as if they were Steph Curry or LeBron James, with nine-figure compensation packages structured to be paid out over several years. To navigate the froth, many of the 20-somethings have turned to unofficial agents and entourages to strategize.
Tech companies are paying AI researchers billions of dollars and using unorthodox tactics to grab the brightest minds … Such moves suit the needs of the top tech companies in the current moment … The hires are pulled off quickly during an AI race that the companies see as a once-in-a-generation opportunity.
Early Feedback
About one of the new TAE classes — DL Basics with PyTorch.
I’m honestly amazed at how you manage to make such a complex topic so clear, engaging, and enjoyable to read.
And I also wanted to thank you — not just personally, but on behalf of all of us aspiring quants who are learning so much from your work. It’s really a masterpiece.
I love the new format of the class — it forces you to really engage with the material, the GitHub repo, the exercises, and the challenges. It’s a super rewarding and hands‑on way to learn.
Start Your AI Engineering Journey
Join the inaugural cohort starting on November 3, 2025, and transform from AI enthusiast to AI engineer. Be one of the first to turbocharge your AI career or startup ambitions with The AI Engineer program.
✓ Six months access • ✓ All materials included • ✓ Community support • ✓ Corporate training available
Cancellations or refunds are not possible because delegates get full access to the complete electronic program materials (videos, HTML pages, PDFs, Jupyter Notebooks, Python code, etc.). The program resources are copyrighted and not allowed to be shared or distributed. The resources are instructional and illustrative only. They come with no warranties or representations, to the extent permitted by applicable law.
If you are a consumer residing in the EU/EEA, you may have a statutory right to withdraw from this distance contract within fourteen (14) days without giving any reason. To exercise the right of withdrawal, you must notify TPQ of your decision by an unequivocal statement (e.g., a letter or email). The withdrawal period will expire after 14 days from the day of conclusion of the contract.
Waiver for immediate access to digital content. If you request or consent to receiving access to the digital content before the end of the withdrawal period and acknowledge that you thereby lose your right of withdrawal, your right of withdrawal will be extinguished upon the start of access.
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Login credentials for the program resources are sent shortly after payment (at most one German business day later), so you can get started with the program materials right away. Detailed joining instructions for live sessions, if there are any, will be sent in time before they start.