Catalog

Courses

Pick something worth mastering.

Structured, beginner-friendly to advanced courses with interactive lessons, hands-on practice and real-world projects.

  • Learn at your paceClear structure
  • Hands-on practiceRunnable examples
  • Build real skillsQuizzes & practice

10 courses

Machine Learning₹14,999FREE

Applied AI Engineering: Forward Deployed Practices

This course delves into the principles and practices of, covering the mindset, methods, and craft required for successful application of AI in real-world contexts. It explores the role of the Forward Deployed AI Engineer, from discovery and delivery to iteration and integration with enterprise systems. Learners will gain insights into becoming an FDE and the future of the field

  • 134 Chapters
  • 241 Modules
  • 47.9H
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Machine Learning₹12,999FREE

Building AI Applications with Foundation Models

This course covers the development and engineering of AI applications using foundation models, including evaluation methodologies, prompt engineering, fine-tuning, and optimization techniques. It is designed for learners looking to apply AI and machine learning principles in practical applications. The course delves into advanced topics such as dataset engineering and inference optimization.

  • 59 Chapters
  • 200 Modules
  • 46.2H
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Machine Learning₹7,999FREE

Building Large Language Models from Scratch

This course covers the fundamentals and practical implementation of large language models, including data preparation, attention mechanisms, GPT model implementation, pretraining, and fine-tuning techniques. It is designed for learners who want to understand and build large language models. The course includes introductions to necessary tools and techniques for model development and optimization.

  • 86 Chapters
  • 216 Modules
  • 44.9H
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Programming₹8,999FREE

C++ Programming Essentials

This course provides a comprehensive introduction to C++ programming, covering fundamental concepts, object-oriented programming, generic programming, and the standard library. Students will learn to write efficient and effective C++ code. By the end of the course, learners will have a solid understanding of C++ and be able to apply it in various programming contexts.

  • 140 Chapters
  • 283 Modules
  • 54.1H
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Programming₹9,999FREE

Introduction to Java Programming

This course covers the fundamentals of Java programming, including basic programming concepts, object-oriented programming, GUI programming, data structures, and advanced topics. It is designed to take students from basic programming principles to more complex topics like threads and networking. By the end of the course, students should be proficient in Java programming.

  • 90 Chapters
  • 352 Modules
  • 73.2H
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Programming₹15,499FREE

Introduction to Python Programming

This course introduces the basics of Python programming, covering fundamental concepts and syntax. It's designed for individuals new to programming or looking to start with Python. By the end of the course, learners will have a solid foundation in Python programming.

  • 15 Chapters
  • 76 Modules
  • 1.2H
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Machine Learning₹16,999FREE

Machine Learning Fundamentals and Advanced Topics

This course provides a comprehensive introduction to machine learning for graduate students, covering foundational theory, algorithms, additional learning models, and advanced theoretical topics over 14 weeks.

  • 39 Chapters
  • 129 Modules
  • 29.8H
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Programming₹6,799FREE

Mastering Deep Learning with Python

A comprehensive course covering the foundations of deep learning and neural networks, computer vision, and advanced techniques, through to real-world and creative applications including text and sequence data, based on Deep Learning with Python by Francois Chollet.

  • 17 Chapters
  • 48 Modules
  • 15.3H
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Programming₹7,599FREE

Python Programming Fundamentals

A comprehensive introduction to programming using Python, covering core language concepts from variables and control flow through data structures, file handling, and practical applications. Students learn to write programs that process data, interact with networks and web services, and build object-oriented solutions with databases and visualizations.

  • 17 Chapters
  • 162 Modules
  • 35.5H
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Machine Learning₹11,999FREE

Reinforcement Learning

This course covers the fundamentals and advanced topics in Reinforcement Learning, including tabular and approximate solution methods, and applications. It provides a comprehensive understanding of the Reinforcement Learning problem and various techniques to solve it. Students will learn about key concepts such as Markov Decision Processes, Dynamic Programming, and Policy Gradient Methods.

  • 133 Chapters
  • 350 Modules
  • 69.0H
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