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Upgrade Your Skills & Empower Yourself
Join our AI Recommendation Systems Course! Learn to design intelligent recommendation systems using machine learning, collaborative filtering, deep learning, Transformers, embeddings, vector search, ranking, personalization, and modern AI techniques for real-world applications.
Build an AI-powered e-commerce recommendation system that analyzes customer interactions, purchase history, product information, and browsing behavior to recommend relevant products. The project combines collaborative filtering and content-based techniques to generate personalized Top-K product recommendations.
Develop a personalized movie recommendation platform that learns user preferences from ratings, viewing history, genres, descriptions, and user interactions. Implement content-based, collaborative, and hybrid recommendation approaches and compare their performance using recommendation evaluation metrics.
Create a modern AI recommendation application that combines user preferences, semantic embeddings, vector search, and an LLM to provide personalized recommendations through natural-language conversations. Users can describe what they want, while the system retrieves and ranks relevant items intelligently.
Educate your workforce with new skills to improve their performance and productivity.
Our AI Recommendation Systems Course provides practical knowledge of AI-powered recommendation systems, covering collaborative filtering, content-based methods, machine learning, deep learning, embeddings, Transformers, vector search, ranking, personalization, LLMs, and real-world recommendation applications.
You will learn collaborative filtering, content-based recommendation, hybrid systems, deep learning, embeddings, Transformers, vector search, ranking, personalization, LLMs, and recommendation deployment.
Content-Based Recommendation suggests items based on their characteristics and a user’s previous interests, using features such as descriptions, categories, keywords, or metadata.
Basic Python programming knowledge is recommended because practical exercises involve data processing, machine learning models, embeddings, recommendation algorithms, and application development.
A Hybrid Recommendation System combines multiple recommendation approaches, such as collaborative filtering and content-based filtering, to produce more personalized recommendations.
Embeddings represent users, products, content, or other entities as numerical vectors, allowing AI models to measure relationships and identify relevant recommendations.
Our Job Assistance Programme offers you special guidance through the course curriculum and helps in your interview preparation.
AI Recommendation Systems offer careers as Recommendation Engineer, Machine Learning Engineer, Data Scientist, AI Engineer, and NLP Engineer, with salary packages typically ranging from ₹5–25+ LPA in India based on skills, experience, and employer.
Infibee’s placement guidance navigates you to your desired role in top organisations, ensuring you stand out and excel in every opportunity.
You need not worry about having missed a class. Our dedicated course coordinator will help them with anything and everything related to administration. The coordinator will arrange a session for the student with trainers in place of the missed one.
Yes, of course. You can contact our team at Infibee Technologies, and we will schedule a free demo or a conference call with our mentor for you.
We provide classroom, online, and self-based study material and recorded sessions for students based on their individual preferences.
Yes, all our trainers are industry professionals with extensive experience in their respective domains. They bring hands-on practical and real-world knowledge to the training sessions.
Yes, participants typically receive access to course materials, including recorded sessions, assignments, and additional resources, even after the training concludes.
We provide placement assistance to students, including resume building, interview preparation, and job placement support for a wide range of software courses.
Yes, we offer customisation of the syllabus for both individual candidates and corporate also.
Yes, we offer corporate training solutions. Companies can contact us for customised programmes tailored to their team’s needs.
Participants need a stable internet connection and a device (computer, laptop, or tablet) with the necessary software installed. Detailed technical requirements are provided upon enrollment.
In most cases, such requests can be accommodated. Participants can reach out to our support team to discuss their preferences and explore available options.
We offer courses that help you improve your skills and find a job at your dream organisations.
Courses that are designed to give you top-quality skills and knowledge.
Upgrade Your Skills & Empower Yourself
