How ten algorithms work
Explain the mechanics of each core algorithm, from linear regression to decision trees, and say when each one applies.
Partners and press
Overview
Knowing ten algorithms is a start. Knowing which to reach for is the work.
A three-hour course on the top ten machine learning algorithms, from linear regression to decision trees. It explains how each one works and when to apply it.
You then code the algorithms yourself on real-world scenarios, and finish by combining several techniques into a movie recommender built from scratch that gives personalized recommendations.
3Hours
3Modules
4.9Academy rating
10,000+Students
What you’ll learn
Learn all the way down.
Learn all the way down.
Perform when it matters.
Algorithms you have coded
Implement the algorithms in code on real-world scenarios, so the theory comes with working examples that you wrote.
A match between problem and method
Match a problem to the algorithm that suits it, using what you learned about how each one works.
A recommender from scratch
Combine several machine learning techniques into a movie recommender system that offers personalized recommendations.
Course outline
Three modules: ten algorithms,
Three modules: ten algorithms,
then one system built from them.
Study the most important machine learning algorithms, from linear regression to decision trees: how each works and when to apply it.
Put the theory into practice by coding the top ten algorithms and working through real-world scenarios with them.
Apply what you have learned to build a working movie recommender that combines several techniques to give personalized recommendations.
Your instructor
Instructor · LUNARTECH
Vahe Aslanyan
Vahe Aslanyan is the CTO of LUNARTECH, and has helped hundreds of developers make sense of complex AI and data science and build better software with it.
How you get there
Top-tier roles go to people who can do the work.
Top-tier roles go to people who can do the work.
Here’s how you get there.
Learn how each one works.
Start with the ideas behind the top ten algorithms and when each one applies.
Then code them yourself.
Implement each algorithm and test it on a real-world scenario.
Combine them in one system.
Bring several techniques together in a movie recommender built from scratch.
Support
Support at every stage.
Support at every stage.
You won’t be working through this alone.
Before you start
Try it first.
A 3-day free trial opens a selection of the content. Your card is only charged once it ends.
While you learn
Mentors within reach.
Stuck on a concept? Reach out to a mentor whenever you need help.
While you learn
One-on-one sessions.
On the yearly plan, one-on-one sessions give you dedicated support.
Any time
A team behind you.
Write to info@lunartech.ai at any point, from your trial onwards. If your employer is funding you, we’ll set it up with them directly.
All the way through
A schedule that fits around your life.
3 hours in totalYour own paceFrom anywhereAt any hour
After the last lesson
Stay in the network.
Your alumni network stays with you: ongoing support, opportunities and industry insight.
Career support
Career support, past the last lesson. Coaching, a sharper resume, real interview preparation and the people to know.
Career direction
Tailored coaching helps you decide where to aim and how to get there.
Strong portfolio
Hands-on projects become work you can show, not just claim.
Resume and profile
Personalized refinement, so what you send says what you can actually do.
Interview preparation
Preparation for the questions that decide it, so you walk in ready.
Network and search
Connections with industry leaders, and an alumni network that stays with you.
Reviews
Real stories from the community.
LUNARTECH Academy has been the most empowering learning experience of my life, giving me a clear, structured path from the absolute basics to building real-world AI systems with confidence.
Your page is fantastic. As a bachelor’s student in Data Science now accepted for a master’s at UConn, your work has been a real source of motivation.
The programme’s clear, bite-sized content and practical projects dramatically improved my speed from fuzzy idea to MVP and my ability to communicate AI value. I followed the system, and it works.
I really appreciate your teaching style and the way you break down complex topics. It has been incredibly helpful.
After years working mainly with R for econometrics, I found your Python machine learning course a refreshing and engaging way to learn Python.
As a Data Science graduate, I want to thank you for the effort you put into making videos to support growing data scientists.
I’ve been following your work since taking your machine learning course, and I’m impressed by your practical approach to applying AI.
Why choose us
Built around how you actually learn.
One standard behind every course, from the first lesson to long after the last.
Hands-on practice
Apply every idea to real problems, so it becomes something you have used, not only seen.
Industry-aligned curriculum
We keep courses current with the tools, techniques and skills the field asks for.
Flexible learning
Study at your own pace, from anywhere, at any hour.
Certificate of completion
Finish the course and earn a certificate that shows what you have learned.
Focus on your success
Personalized learning plans and support structures carry you through the hard parts.
Lifetime alumni network
Stay connected after you finish, with ongoing support, opportunities and industry insight.
Your certificate
It doesn’t raise its voice. Neither will you.
Finish the course and it is issued in your name, under our signature. There is no other way to get one.
Certificate of completion
Your Name
Machine Learning Essentials
LUNARTECH RISE Academy
Pricing
This course comes with the membership.
This course comes with the membership.
So does everything else.
One membership opens every course, certification, workshop and masterclass in the Academy. Every plan starts with a 3-day free trial.
3 days free, then $29.97 a month. Your card is only charged once the trial ends.
Included in every plan
- Every course in the Academy
- Every certification course
- Workshops and masterclasses
- A certificate of completion
- A 3-day free trial
- Learning at your own pace
- The lifetime alumni network
- Upgrades at any time
In practice
Three modules. Four professions.
Three modules. Four professions.
A working map of the standard algorithms.
Every role uses all three modules. Here’s where each one leans hardest, and where its work ends up.
- 01Top ten
- 02Implementation
- 03Recommender
-
Picks the algorithm that suits the question asked. Codes it and checks it against the data.
Top ten, Implementation
Retail, Analytics teams
-
Implements algorithms rather than treating them as black boxes. Combines techniques into a working system.
Implementation, Recommender
Media and streaming, Software products
-
Adds a recommendation feature to an application. Understands what the model is doing underneath.
Recommender
Media and streaming, Software products
-
Knows what each algorithm can and can’t answer. Judges whether a model suits the question.
Top ten
Retail, Analytics teams
- Media and streaming
- Retail
- Software products
- Analytics teams
Data Scientist
Picks the algorithm that suits the question asked. Codes it and checks it against the data.
Over 10,000 students trust LUNARTECH
LUNARTECH gives you the skills
to learn, build, create and lead.
Engineers
Understand systems all the way down. Build the ones others rely on.
Scientists
Understand what the data says. Build models that hold up.
Researchers
Understand the papers. Build on them, and take the work further.
The field
Anyone can use AI.
Anyone can use AI.
Few can engineer it. This is where that starts.
+340%growth in open roles requiring AI skills
Roles and pay
~35,000 open roles right now
Open roles: Built In, Greenhouse, LinkedIn.
Typical salaries: Glassdoor, Levels.fyi, Payscale, Indeed, Ravio, JobRise, U.S. BLS. Military: 2026 U.S. basic pay, drone officers with aviation incentive pay.
Updated November 2026.
FAQ
Frequently asked questions.
Need help? These answers cover most of what people ask before they start.
Yes. The final module builds a movie recommender system from scratch.
Our 3-day free trial gives you access to a selection of content in the bootcamps, courses and materials, so you can experience the value of our content first-hand. This includes comprehensive learning materials and interactive sessions. You won’t be charged during this period, though we require your credit card details at the start to ensure a seamless transition should you choose to continue.
Yes, entering your credit card details is a necessary step to begin your free trial. The process is entirely secure, and we ask for it to provide a seamless transition to a paid subscription if you decide to continue beyond the trial. You will only be charged after the trial period ends, with full access to our content based on the plan you choose.
After your 3-day free trial you gain access to the full breadth of our content, depending on the subscription plan you choose. We offer free trials for our monthly, bi-annual and annual plans, and each plan provides a different scope of access and benefits.
If your employer has agreed to fund your learning, in part or in full, please contact us at info@lunartech.ai. We’ll work with you and your employer to set up everything needed for your subscription.
Yes. Our support remains strong both during your free trial and after you subscribe. Reach the team at info@lunartech.ai with any question, whether you’re onboarding, navigating your trial, or need help as a member. Subscribers to the yearly plan also receive dedicated support in one-on-one sessions.
You can upgrade your plan at any time during your subscription. Downgrading is not available for bi-annual or annual plans, but you can cancel and then choose a new plan that suits you better. For bi-annual and annual plans we also offer payment in instalments; please reach out to learn more.
Ten algorithms
Learn the ten, then build with them.
Three hours from the core algorithms to a movie recommender you built yourself. Begin with a free lesson, or enroll in the full course.
