The Complete
Artificial Intelligence & Machine Learning
Course
Master Python, statistics, classical ML, deep learning, and model deployment—from foundations to production-ready pipelines. Build 10+ end-to-end projects and graduate with a portfolio recruiters can evaluate in 16 weeks.
Epoch 48/60 · Validation Accuracy 97.2%
Complete Course Roadmap
6 modules, 90+ lessons, and hands-on notebooks designed to take you from complete beginner to job-ready ML engineer.
Python, NumPy & Pandas for ML
8 lessons · 4 hours 30 minStatistics, Visualization & Feature Engineering
12 lessons · 7 hours 15 minClassical ML: Regression, Trees & Ensembles
18 lessons · 10 hours 45 minDeep Learning with PyTorch
22 lessons · 13 hours 20 minNLP, Embeddings & Modern LLM Tooling
16 lessons · 9 hours 50 minMLOps, Deployment & Responsible AI
14 lessons · 8 hours 10 minLearn From an Industry Expert
Not just a teacher — a practitioner who has built and shipped products used by millions.
Jae I. Gorrell
Marcus has spent 8+ years training and deploying models used by millions at companies like Google and Stripe. He has taught over 120,000 students online and is known for bridging math, code, and product decisions without jargon. His students have gone on to ML and data science roles at Amazon, OpenAI partners, NVIDIA, and hundreds of applied-AI teams worldwide.
What You'll Master by Course End
Every skill listed below is directly aligned with what hiring managers look for in 2026 junior-to-mid AI engineer and ML scientist roles.
What Our Students Say
Real reviews from real students who transformed their careers through this course.
This course literally changed my life. I went from zero Python to a $95K applied ML role at Shopify in five months. The notebook-first projects make statistics and deep learning click. Marcus explains things better than any professor I've ever had.
I tried four other AI courses before this one. None came close. The curriculum is perfectly structured — classical ML through PyTorch and deployment. The community Discord is incredibly active and Marcus actually responds to questions. Worth every penny.
As a complete beginner with zero tech background, I was terrified. But Marcus starts from the absolute basics and builds up so smoothly. I just finished my capstone model and deployment story and I'm already getting interview calls. The graded projects are gold.
Even with a CS degree, I learned more practical skills from this course than from four years of college. The PyTorch and evaluation sections are incredibly thorough. I use the experiment tracking and serving patterns I learned here every single day at work.
I now run a freelance ML consulting practice earning $8K/month, all because of this course. The end-to-end projects gave me the confidence to take on client work immediately. The MLOps and API deployment sections alone saved me hours of frustration.
This filled in all the gaps my university courses left. My professors teach theory; Marcus teaches you how to actually train and ship models. I landed a summer internship at a FAANG lab and this course was the main thing I discussed in my interview.
Invest in Your Future
Choose the plan that fits your learning goals. All plans include lifetime access to course updates.
- 68+ hours of video content
- 90+ lessons with captions
- 10 end-to-end ML projects & notebooks
- Downloadable datasets & starter code
- Lifetime access & updates
- Certificate of completion
- Community Discord access
- 1-on-1 mentor sessions
- Resume & portfolio review
- Job placement support
- Everything in Starter
- Community Discord access
- Weekly live Q&A sessions
- 3 bonus tracks (LLM apps, time series, recsys)
- Resume & portfolio review
- Interview prep materials
- Private GitHub repo & MLOps templates
- Priority support from team
- 1-on-1 mentor sessions
- Job placement support
- Everything in Professional
- 6x 1-on-1 mentor sessions
- Personalized learning path
- Code reviews on all projects
- LinkedIn profile optimization
- Mock technical interviews
- Job referral network access
- Job placement support (6 mo)
- Lifetime mentor access
- Salary negotiation coaching
Frequently Asked Questions
Got questions? We've got answers. If you don't find what you're looking for, reach out to our support team.
Do I need any prior coding experience to take this course?
Absolutely not! This course is designed for complete beginners with zero programming background. We start from the very basics — what data and labels mean, how models learn — and gradually build up to advanced concepts. All you need is a Mac, Windows, or Linux PC, a stable internet connection, and the willingness to learn.
How long will it take to complete the entire course?
If you dedicate 10–15 hours per week, you can complete the full curriculum in approximately 16 weeks. However, you have lifetime access, so you can go at your own pace. Many students complete it faster by studying full-time, while others spread it over 6 months while working their current jobs.
Will I receive a certificate upon completion?
Yes! You'll receive a verified certificate of completion that you can add to your LinkedIn profile, resume, or portfolio. The certificate includes a unique verification link that employers can use to confirm your achievement. Note: employers care far more about your portfolio projects than certificates.
Can I realistically get a job after completing this course?
Yes — 89% of our graduates who actively apply land a machine learning or data-science engineer role within six months of completing the course. Your portfolio of 10+ trained models and write-ups is what makes the difference. The Professional and Premium plans include resume reviews, interview prep, and job placement support to maximize your chances.
What tools and software do I need?
Just a modern laptop (16 GB RAM recommended; optional NVIDIA GPU helps but isn't required) and an internet connection. We walk you through installing Python, Jupyter or VS Code, Git, PyTorch, and scikit-learn. Google Colab free tier covers GPU practice when you need it. No expensive licenses required to follow along.
What if I'm not satisfied with the course?
We offer a no-questions-asked money-back guarantee. Starter plan has a 14-day guarantee, while Professional and Premium plans come with a 30-day guarantee. If the course isn't the right fit for any reason, simply email our support team for a full refund. We've only had a 1.2% refund rate because the course truly delivers.
Is the course content updated for 2026 standards?
Yes! We refreshed the entire curriculum in January 2026. This includes PyTorch 2.x workflows, current scikit-learn releases, practical LLM and retrieval patterns, and modern MLOps starter stacks. We continuously update the course as tooling evolves — and all updates are free for lifetime members.
Can I upgrade my plan later if I want more features?
Absolutely! You can upgrade at any time and only pay the difference between your current plan and the new one. For example, if you start with Starter ($49) and upgrade to Professional ($99) later, you'll only pay $50. Just reach out to our support team and they'll handle the upgrade within 24 hours.
Ready to become a job-ready AI & machine learning engineer?
Go from Python and classical ML through PyTorch, NLP, and model deployment in 16 weeks. Build 10+ portfolio-grade projects, document your experiments, and gain the skills hiring teams actually test for.
