Beginner 10h🎁 Free Preview
Recommendation Systems Fundamentals
This course covers Introduction, Abstract, Basic Concepts, Recent Topics, Bibliography.
₹599View Course →
Artificial Intelligence
Online Artificial Intelligence Courses
Master artificial intelligence with industry-expert instructors. 13 hands-on courses with certificates.
GreyAcademy's online artificial intelligence courses are self-paced and taught by expert instructors. Whether you are a beginner or building on skills you already have, you can learn artificial intelligence online with structured lessons and practice. Browse the artificial intelligence courses below, compare levels and pricing, and start learning today.
All Artificial Intelligence courses
Intermediate 10h🎁 Free Preview
Recommender Systems: Foundations, Algorithms, and Recent Advances
This course provides a comprehensive introduction to recommender systems, covering basic concepts, recommendation tasks, algorithms, and evaluation methods. It also explores recent topics such as sequential and session-based recommendation, popularity and bias, and the impact and value of recommender systems. Students will gain both theoretical understanding and practical insights into how modern recommendation systems work.
₹599View Course →
Intermediate 10h
AI Agents and Workflow Automation for Personal Productivity
Learn how AI agents are transforming personal productivity and daily workflows. This course explores the technology behind intelligent agents and how to apply workflow automation to optimize your routines, save time, and support personal growth.
₹99View Course →
Advanced 10h
MLOps: Principles, Architecture, and End-to-End Workflows
Learn the foundational principles and architecture of MLOps, from supervised machine learning paradigms to end-to-end workflows. Explore functional components, roles, and evaluated technologies that support model and code flow. Gain practical insight into how services, tools, and frameworks are identified and reviewed for operational ML systems.
₹99View Course →
Advanced 10h🎁 Free Preview
Reinforcement Learning: From Bandits to Monte Carlo Methods
This course introduces the fundamental concepts and algorithms of reinforcement learning. You will learn how agents interact with environments to maximize reward, covering the reinforcement learning problem, multi-arm bandits, finite Markov decision processes, dynamic programming, and Monte Carlo methods. Through examples and exercises, you will build a solid foundation for understanding and implementing core RL techniques.
₹229View Course →
Intermediate 10h🎁 Free Preview
Recommender Systems: Collaborative Filtering & Matrix Factorization
Learn how modern recommender systems work, from user- and item-based collaborative filtering and similarity measures to matrix factorization, SVD, and stochastic gradient descent. Explore implicit feedback, demographics, temporal dynamics, and social-network-based recommendation approaches like TidalTrust and TrustWalker. Build the skills to design and evaluate recommendation algorithms used by major platforms.
₹499View Course →
Intermediate 10h🎁 Free Preview
MLOps Fundamentals: From Machine Learning to Deployment
This course introduces the core concepts behind MLOps and how they extend DevOps practices to machine learning workflows. You'll revisit machine learning fundamentals, explore data and model versioning, infrastructure as code, and security best practices, then see how these pieces come together in an end-to-end MLOps implementation using QuickML.
₹199View Course →
Intermediate 10h🎁 Free Preview
Recommender Systems: Principles, Methods, and Applications
This course provides a comprehensive introduction to recommender systems, covering collaborative filtering, content-based recommendation, knowledge-based approaches, and hybrid methods. Students will learn to design, evaluate, and explain recommendation algorithms, and explore advanced topics like matrix factorization and case-based reasoning. The course includes practical examples and case studies to illustrate real-world applications.
₹499View Course →
Intermediate 10h
Information Retrieval and Retrieval-Augmented Generation
This course covers the core techniques of information retrieval, from term-document matrices and tf-idf to dense vector retrieval, and shows how these methods power retrieval-augmented generation (RAG). You'll learn how to evaluate retrieval systems with precision, recall, and MAP, and how RAG systems retrieve passages, generate answers, and cite knowledge. The course also surveys QA datasets and evaluation approaches for question-answering systems.
₹99View Course →
Advanced 10h🎁 Free Preview
Agentic AI: Objectives, Benefits, and Decision-Making
This course introduces agentic AI, defining its primary objectives and distinguishing it from traditional and generative AI. Students explore the key building blocks of agentic systems, including perception, planning, action, and collaboration, and examine the benefits such as improved accuracy, transparency, and ethical decision-making.
₹199View Course →
Intermediate 10h🎁 Free Preview
Reinforcement Learning: From Bandits to Monte Carlo Methods
This course introduces the fundamental concepts and algorithms of reinforcement learning. You will learn how agents interact with environments to maximize reward, covering the reinforcement learning problem, multi-arm bandits, finite Markov decision processes, dynamic programming, and Monte Carlo methods. Through examples and exercises, you will build a solid foundation for understanding and implementing core RL techniques.
₹299View Course →
Advanced 10h🎁 Free Preview
Recommender Systems: Collaborative Filtering & Matrix Factorization
This course covers the core techniques behind modern recommendation systems, from user- and item-based collaborative filtering and similarity measures to matrix factorization, SVD, and stochastic gradient descent. You'll also explore modeling implicit feedback, demographics, temporal dynamics, and social-network-based recommendation approaches like TidalTrust and TrustWalker. Designed for learners who want a rigorous, method-oriented understanding of how recommendations are generated.
₹499View Course →
Intermediate 12h
Complete AI Automation And Agentic AI Bootcamp With n8n
Master AI automation and build intelligent agents using n8n. Learn to create powerful workflows, integrate AI models, and automate complex tasks with cutting-edge agentic AI systems. Perfect for developers, entrepreneurs, and automation enthusiasts looking to leverage AI in their workflows.
₹599View Course →
About Artificial Intelligence courses on GreyAcademy
GreyAcademy currently offers 13 artificial intelligence courses, covering beginner, intermediate, advanced levels and about 132 hours of learning in total. Each course is taught by an instructor through short, focused lessons you can finish at your own pace, and you can pick up where you left off on any device.
Not sure where to start? Begin with Recommendation Systems Fundamentals, then move on to Recommender Systems: Foundations, Algorithms, and Recent Advances once you are comfortable with the basics. Check each course page for the full syllabus, the instructor's background and what you will be able to do by the end.
Looking for something different? You can browse every category or follow a step-by-step learning roadmap to plan your next few months.
FAQ
Artificial Intelligence courses: your questions answered
Everything you need to know before you start learning artificial intelligence on GreyAcademy.
Which Artificial Intelligence course should I start with?
If you are new to artificial intelligence, start with Recommendation Systems Fundamentals (beginner level). Every course page shows the full syllabus, the instructor and what you will be able to do by the end, so you can compare before you enrol.
Are there free Artificial Intelligence courses on GreyAcademy?
Why learn Artificial Intelligence with GreyAcademy?
Industry-relevant curriculum, hands-on projects, lifetime access, and certificates that get you noticed.
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