Become an Expert in Building Intelligent Recommender Systems

Download Course Contents

Building Intelligent Recommender Systems Course Overview

Building Intelligent Recommender Systems is a course designed to help students gain the fundamentals of creating and managing systems that are able to recommend relevant options for users. It involves studying the different methods of recommendation, exploring data collection and analysis, developing machine learning models, and building web applications for users.
The course is intended for students who wish to learn about creating and managing recommender systems, such as software engineers, data scientists, data engineers, and product managers. It covers a wide range of topics, from recommendation algorithms and data processing strategies to web development and deployment strategies. In addition, it provides examples and tools such as movie, music, and book recommendation services to reinforce these concepts.
The course is divided into several modules, which include data mining, probabilistic modeling, natural language processing, and machine learning algorithms. By the end of the course, students will be able to create and manage their own personalized recommenders. The course also provides guidelines on how to evaluate and improve the accuracy and performance of recommender systems.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.


The 1-on-1 Advantage

Get 1on-1 session with our expert trainers at a date & time of your convenience.

Flexible Dates

Start your session at a date of your choice-weekend & evening slots included, and reschedule if necessary.

4-Hour Sessions

Training never been so convenient- attend training sessions 4-hour long for easy learning.

Destination Training

Attend trainings at some of the most loved cities such as Dubai, London, Delhi(India), Goa, Singapore, New York and Sydney.
Live Online Training (Duration : 8 Hours) Fee On Request
We Offer :
  • 1-on-1 Public - Select your own start date. Other students can be merged.
  • 1-on-1 Private - Select your own start date. You will be the only student in the class.

4 Hours
8 Hours
Week Days

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Group Training
Date On Request
Course Prerequisites

1. Basic knowledge in Algorithms and Data Structures
2. Statistical Modelling
3. Basics of Machine Learning
4. Mathematics – Linear Algebra and Multivariate Calculus
Technical Skills:
1. Programming experience in Python and related libraries (e.g. scikit-learn and Tensorflow)
2. Knowledge of Services in the Cloud, such as Amazon Web Services
3. Understanding of Data Structures and Database Systems
4. Familiarity with Natural Language Processing techniques

Target Audience

The target audience for a Building Intelligent Recommender Systems training would include enterprise engineers, data scientists, software developers, and other professionals with an interest in building machine learning models and leveraging them to build intelligent recommendation systems
The attendees should have a basic understanding of machine learning principles and be able to work with Python and its data science libraries
The training should touch upon core aspects of recommendation systems, such as user profiling, collaborative filtering, hybrid or content-based recommendation, and natural language processing
In addition, this training should focus on a hands-on, workshop-style approach, so whether you're a novice or experienced in the field, you'll come away better prepared to build, evaluate, and deploy your own recommender system

Learning Objectives of Building Intelligent Recommender Systems

1. Understand how to build, implement and test end-to-end recommendation systems.
2. Learn about the different components and architectures for building intelligent recommender systems.
3. Develop an understanding of how Collaborative Filtering algorithms work and how to apply them for large-scale personalization.
4. Interpret the various evaluation metrics and metrics used to evaluate the accuracy of the recommender engine.
5. Learn how to develop Hybrid Recommender Systems, combining content- and collaborative filtering approaches.
6. Understand how to integrate post-deployment and contextual information into the personalization process.
7. Be familiar with scalable approaches to training large data volumes, including methods such as item-based and pairwise learning.
8. Explore the use of neural-networks in recommenders such as AutoML/DL models.

Request More Information


Yes, fee excludes local taxes.
Yes, we do.
Schedule for Group Training is decided by Koenig. Schedule for 1-on-1 is decided by you.
In 1 on 1 Public you can select your own schedule, other students can be merged. Choose 1-on-1 if published schedule doesn't meet your requirement. If you want a private session, opt for 1-on-1 Private.
1-on-1 Public - Select your start date. Other students can be merged. 1-on-1 Private - Select your start date. You will be the only student in the class.
Yes, course requiring practical include hands-on labs.
You can buy online from the page by clicking on "Buy Now". You can view alternate payment method on payment options page.
Yes, you can pay from the course page and flexi page.
Yes, the site is secure by utilizing Secure Sockets Layer (SSL) Technology. SSL technology enables the encryption of sensitive information during online transactions. We use the highest assurance SSL/TLS certificate, which ensures that no unauthorized person can get to your sensitive payment data over the web.
We use the best standards in Internet security. Any data retained is not shared with third parties.
You can request a refund if you do not wish to enroll in the course.
To receive an acknowledgment of your online payment, you should have a valid email address. At the point when you enter your name, Visa, and other data, you have the option of entering your email address. Would it be a good idea for you to decide to enter your email address, confirmation of your payment will be emailed to you.
After you submit your payment, you will land on the payment confirmation screen. It contains your payment confirmation message. You will likewise get a confirmation email after your transaction is submitted.
We do accept all major credit cards from Visa, Mastercard, American Express, and Discover.
Credit card transactions normally take 48 hours to settle. Approval is given right away; however, it takes 48 hours for the money to be moved.
Yes, we do accept partial payments, you may use one payment method for part of the transaction and another payment method for other parts of the transaction.
Yes, if we have an office in your city.
Yes, we do offer corporate training More details
Yes, we do.
Yes, we also offer weekend classes.
Yes, Koenig follows a BYOL(Bring Your Own Laptop) policy.
It is recommended but not mandatory. Being acquainted with the basic course material will enable you and the trainer to move at a desired pace during classes. You can access courseware for most vendors.
Yes, this is our official email address which we use if a recipient is not able to receive emails from our email address.
Buy-Now. Pay-Later option is available using credit card in USA and India only.
You will receive the digital certificate post training completion via learning enhancement tool after registration.
Yes you can.
Yes, we do. For details go to flexi
You can pay through debit/credit card or bank wire transfer.
Dubai, London, Sydney, Singapore, New York, Delhi, Goa, Bangalore, Chennai and Gurugram.
Yes you can request your customer experience manager for the same.
Yes of course. 100% refund if training not upto your satisfaction.

Prices & Payments

Yes of course.
Yes, We are

Travel and Visa

Yes we do after your registration for course.

Food and Beverages



Says our CEO-
“It is an interesting story and dates back half a century. My father started a manufacturing business in India in the 1960's for import substitute electromechanical components such as microswitches. German and Japanese goods were held in high esteem so he named his company Essen Deinki (Essen is a well known industrial town in Germany and Deinki is Japanese for electric company). His products were very good quality and the fact that they sounded German and Japanese also helped. He did quite well. In 1970s he branched out into electronic products and again looked for a German name. This time he chose Koenig, and Koenig Electronics was born. In 1990s after graduating from college I was looking for a name for my company and Koenig Solutions sounded just right. Initially we had marketed under the brand of Digital Equipment Corporation but DEC went out of business and we switched to the Koenig name. Koenig is difficult to pronounce and marketeers said it is not a good choice for a B2C brand. But it has proven lucky for us.” – Says Rohit Aggarwal (Founder and CEO - Koenig Solutions)
All our trainers are fluent in English . Majority of our customers are from outside India and our trainers speak in a neutral accent which is easily understandable by students from all nationalities. Our money back guarantee also stands for accent of the trainer.
Medical services in India are at par with the world and are a fraction of costs in Europe and USA. A number of our students have scheduled cosmetic, dental and ocular procedures during their stay in India. We can provide advice about this, on request.
Yes, if you send 4 participants, we can offer an exclusive training for them which can be started from Any Date™ suitable for you.