In today's digital landscape, recommendation systems power many personalized experiences we encounter daily, from Netflix's content suggestions to Spotify's music playlists. Our two-day intensive course, Building Recommender Systems Using Python, offers a deep dive into the world of data-driven personalization. You'll begin by exploring the core concepts and types of recommendation systems, understanding how they function to tailor content for individual users. From there, you'll engage with hands-on activities, setting the foundation for building your own recommenders.
On the first day, you'll work extensively with the Pandas library, learning how to manipulate and prepare data for recommendation systems. Through guided labs, you will build simple and knowledge-based recommenders and advance to creating sophisticated content-based recommenders using document vectors, cosine similarity, and metadata analysis. On day two, the course transitions to advanced data mining techniques, covering clustering, dimensionality reduction, and various similarity measures. You will also dive into collaborative filtering, learning both user-based and item-based approaches to improve recommendation accuracy.
The course culminates in a hands-on session where you'll deploy your recommender as a microservice using Docker, allowing for real-world application and scalability. By the end of the program, you'll have mastered the tools and techniques necessary to design, implement, and optimize effective recommendation systems, enabling you to elevate user experiences, boost engagement, and drive smarter decision-making on digital platforms.
Through a mix of instructor-led presentations, demonstrations, and hands-on labs, you will:
If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals.
This Intermediate level course is geared for experienced technical professionals eager to meld the capabilities of AI with the dynamism of web applications. Roles might include experienced web developers, data analysts, machine learning engineers, UX Designers and digital product managers. If you're passionate about enhancing digital experiences, tailoring user interactions, or predicting online behaviors, this immersive journey into the intelligent web realm is tailor-made for you.
To ensure a smooth learning experience and maximize the benefits of attending this course, you should have the following prerequisite skills:
Next Steps / Follow-on Courses: We offer a wide variety of follow-on courses and learning paths for Generative AI, AI for Business, GPT, Applied AI, Azure OpenAI, Google BARD, AI for developers, testers, data analytics, machine learning, deep learning, programming, intelligent automation and many other related topics. Please see our catalog for the current AI & Machine Learning Courses, Learning Journeys & Skills Roadmaps, list courses and programs.
Please note that this topics, agenda and labs are subject to change to cover the most recent technical trends or tools, and may adjust during live delivery based on audience skill level, interests and participation.
Tailor your learning experience with Trivera Tech. Whether you need a custom course offering or want to schedule a specific date and time for corporate training, we are here to help. Our team works with you to design a solution that fits your organization's unique needs; whether that is enrolling a small team or your entire department. Simply let us know how many participants you'd like to enroll and the skills you want to develop, and we will provide a detailed quote tailored to your request.
Contact Trivera Today to discuss how we can deliver personalized training that equips your team with the critical skills needed to succeed!
