Master MLOps with Python course

In this course,
you'll learn

The Fundamentals of Recommendation Systems

In this course, you'll learn the core principles behind recommendation systems, explore different recommendation techniques, and understand how they enhance user experiences. pen_spark

Mastering Python for Data Manipulation

In this course, you'll learn to work with movie data effectively using Python and the pandas library, including data cleaning, preprocessing, and feature engineering. pen_spark

Applying Machine Learning for Recommendations

In this course, you'll learn how to implement machine learning algorithms to analyze user preferences, uncover patterns in movie data, and generate personalized recommendations. pen_spark

Building and Deploying Your Recommender

In this course, you'll learn to design an intuitive user interface with Streamlit and explore techniques to deploy your web-based movie recommendation system, making it accessible to others. pen_spark

Your instructor

Vahe Aslanyan

Vahe Aslanyan has empowered hundreds of developers by clarifying complex AI and data science concepts, helping them innovate cutting-edge software solutions.

Trusted by over 10.000 students

Course program

Here's a glimpse of what you'll learn throughout the course

Module 1

Introduction to Recommendation Systems

Understand the basic concepts behind recommendation engines and their applications.

Module 2

Python for Data Science

Refresh your Python skills and learn how to manipulate datasets effectively using pandas.

Module 3

Machine Learning Techniques

Master the use of machine learning algorithms such as CountVectorizer and cosine similarity to match user preferences.

Module 4

Building the Recommendation Engine

Step-by-step guidance on creating your own movie recommendation system that can scale to production.

Module 5

User Interface Design

Learn how to build a simple yet powerful UI using Streamlit to showcase your recommendations.

Module 6

Deploying Your Application

Gain knowledge on how to deploy your application so that it can be accessed by users anywhere.

Hear from Our Graduates

At LunarTech, we're proud of the successes of our students. Here's what some of them have to say

“LunarTech is gold. I wanted to learn machine learning as a beginner and LunarTech cleared my mind. After engaging with LunarTech's content, I have a clear vision and now I can proceed further on my own.”

Verified Linkedin User

“At 38, the tech world felt like foreign territory until this course from LunarTech illuminated the path. In six months, I transitioned from an absolute beginner to receiving multiple job offers.”

Verified Twitter User

“LunarTech's course prepared me for real-world challenges, going beyond traditional learning methods. It instilled in me the confidence to pursue and attain a position at my dream company.”

Verified Youtube User

“Facing self-doubt, this course was a turning point. LunarTech's comprehensive curriculum and supportive community laid the groundwork for my transformation from a hopeful learner to a proficient.”

Verified Youtube User

“This course honed my abilities for the competitive job market, and I credit it with helping me ace my software engineer interviews and kickstart my career.”
‍

Verified Linkedin User

Why choose us

Focus on Your Success

LunarTech is invested in your goals, with personalized learning plans and support structures to help you overcome challenges.

Industry-Aligned Curriculum

Our courses are constantly updated to reflect the latest tools, techniques, and in-demand skills employers are seeking.

Hands-On Practice

Study on your schedule. SkillSprint is accessible 24/7, so you can learn at your pace, anytime, anywhere.

Flexible Learning

Study at your own pace, from anywhere and at any time, on your terms.

Certificate of Completion

Receive a SkillSprint certificate to showcase your new skills.

Lifetime Alumni Network

Even after graduation, stay connected to the LunarTech community for ongoing support, job opportunities, and industry insights.

Frequently asked questions

Need help? Check out our FAQ section for quick and easy solutions.

Is the investment in your Data Science Bootcamp really worth it?

Our data science bootcamp is designed to provide you with the most comprehensive and relevant curriculum available . Enroll now and you’ll get immediate access to valuable resources, including expert guidance from experienced professionals and a supportive community of like-minded learners.

Let’s do the math together:

Our bootcamps cost $149.97 for 30 days, $99.97 monthly for 180 day-plan Semi-Annually, $79.97 monthly for 365 day-plan Annual plan.

That breaks down to:

max $149.97/30 = $4.93 per day

mid $99.97/30 = $3.33 per day

min $79.97/30 = $2.67 per day

That’s less than the cost of a daily Starbucks coffee! And while coffee might give you a quick energy boost, our bootcamp will provide you with long-term knowledge and skills that can enhance your career opportunities. Don’t miss out on this cost-effective and valuable opportunity.

What does the free trial include?

Our 3-day free trial gives you access to selection of content in bootcamp, courses and materials, designed for you to experience the value of our content firsthand. 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 with our service.

Will I need to enter my credit card details to start the free trial?

Yes, entering your credit card details is a necessary step to begin your free trial. This process is entirely secure, ensuring total privacy and safety of your information. We ask for this to provide a seamless transition to a paid subscription if you decide to continue beyond the free trial. You will only be charged after the trial period ends, granting you full access to our content based on the chosen subscription plan.

What happens after my free trial ends?

After your 3-day free trial, you’ll gain access to the full breadth of our content, contingent upon the subscription plan you choose. We offer free trials for our monthly, biannual, and annual plans. Each plan provides a different scope of access and benefits, ensuring that you find the perfect fit for your learning journey.

What should I do if my employer agrees to pay for my subscription?

If your employer has agreed to fund your learning journey, whether partially or in full, please contact us at tk.lunartech@gmail.com or info@lunartech.ai. We’ll work closely with you and your employer to set up everything needed for your subscription, ensuring a smooth and hassle-free process.

Is there support available if I have questions during my free trial or after subscribing?

Yes, our commitment to exceptional customer support remains strong both during your free trial and after you’ve subscribed. You can reach out to our support team via tk.lunartech@gmail.com or info.lunartech.ai for assistance with any questions or issues, whether you’re in the onboarding process, navigating your trial, or need help as a subscribing member. Plus, subscribers to our yearly plan receive dedicated support during their one-on-one sessions.

Can I change my plan later on?

Absolutely, you can upgrade your plan at any time during your subscription. However, downgrading is not available for bi-yearly or yearly; you can opt to cancel and then choose a new plan that better suits your needs. For those on biannual or annual plans, we offer the convenience of paying in installments, making it easier to manage payments, please reach out to us to learn more.

Master MLOps with Python