Start Here
Begin with broad courses that introduce the fundamentals before moving into focused lessons.
Learn Discussion
Free Discussion courses, lessons, transcripts, and guided learning paths on CourseHive.
Free Discussion Courses
Discussion Learning Paths
Practice Concepts
Use lesson transcripts and key concepts to review specific ideas and reinforce your understanding.
Go Deeper
Follow related courses and topic links to build a wider learning path around Discussion.
Build your Discussion habit in the app
Browse courses, revisit transcripts, and continue learning on Android or iOS.
Discussion Lessons With Transcripts
Build Payment Gateway System | System Design
Welcome to Lecture 23 of the Ultimate Low-Level Design (LLD) Series by Coder Army! fifth week for #lowleveldesign #systemdesign #8weeksLLdchallenge. W...
System Design Full CourseWhat is UML Diagrams | Class & Sequence Diagrams with Real Examples
Welcome to Lecture 4 of the Ultimate Low-Level Design (LLD) Series by Coder Army! Today is Day 4 for #lowleveldesign #systemdesign #8weeksLLdchallenge...
System Design Full CourseSweaty Startups vs. Laptop Lifestyle: Side Hustle Showdown
Starting a side hustle is all about finding new ways to make extra money outside of your regular 9-5 job. And in today’s digital world, there are two...
The Side Hustle Show - Full EpisodesIMTTI - Teacher Training | Pre Writing | Scribbling | Divya Madhukar | TBPS
Dear Aspiring Educators, Contact us on + 91 9980508690 for more details to join the Montessori Course . Join us on Telegram : https://t.me/+LUYPUOWtsy...
Teacher TrainingTBPS - Pre Writing skill | Scribbling | IMTTI | Divya Madhukar | Teacher Training | IMTTI
Dear Aspiring Educators, Contact us on + 91 9980508690 for more details to join the Montessori Course . Join us on Telegram : https://t.me/+LUYPUOWtsy...
Teacher Training11: Generative AI – Text-to-Image Models
MIT 15.773 Hands-On Deep Learning Spring 2024 Instructor: Rama Ramakrishnan View the complete course: https://ocw.mit.edu/courses/15-773-hands-on-deep...
MIT 15.773 Hands-On Deep Learning Spring 202410: Generative AI – Adapting LLMs with Parameter-Efficient Fine-Tuning
MIT 15.773 Hands-On Deep Learning Spring 2024 Instructor: Rama Ramakrishnan View the complete course: https://ocw.mit.edu/courses/15-773-hands-on-deep...
MIT 15.773 Hands-On Deep Learning Spring 20249: Generative AI – Large Language Models (LLMs) and Retrieval Augmented Generation (RAG)
MIT 15.773 Hands-On Deep Learning Spring 2024 Instructor: Rama Ramakrishnan View the complete course: https://ocw.mit.edu/courses/15-773-hands-on-deep...
MIT 15.773 Hands-On Deep Learning Spring 20248: Deep Learning for Natural Language – Transformers, Self-Supervised Learning
MIT 15.773 Hands-On Deep Learning Spring 2024 Instructor: Rama Ramakrishnan View the complete course: https://ocw.mit.edu/courses/15-773-hands-on-deep...
MIT 15.773 Hands-On Deep Learning Spring 20247: Deep Learning for Natural Language – Transformers
MIT 15.773 Hands-On Deep Learning Spring 2024 Instructor: Rama Ramakrishnan View the complete course: https://ocw.mit.edu/courses/15-773-hands-on-deep...
MIT 15.773 Hands-On Deep Learning Spring 20246: Deep Learning for Natural Language – Embeddings
MIT 15.773 Hands-On Deep Learning Spring 2024 Instructor: Rama Ramakrishnan View the complete course: https://ocw.mit.edu/courses/15-773-hands-on-deep...
MIT 15.773 Hands-On Deep Learning Spring 20245: Deep Learning for Natural Language – The Basics
MIT 15.773 Hands-On Deep Learning Spring 2024 Instructor: Rama Ramakrishnan View the complete course: https://ocw.mit.edu/courses/15-773-hands-on-deep...
MIT 15.773 Hands-On Deep Learning Spring 2024Discussion Key Concepts
Discussion FAQs
Where can I learn Discussion for free?
CourseHive collects free Discussion courses and lessons so you can start learning online without payment.
What is included on this Discussion topic page?
This page groups related courses, individual lessons, transcripts, and key concepts for Discussion.
How should I choose a Discussion course?
Start with a course that matches your level, then use related lessons and transcripts to review specific concepts.