📌New | Complete AI/ML Job Ready Batch :https://www.apnacollege.in/course/prime-ai Batch starting from 15th Nov 2025 -------------------------------------------------------------------------- Link for International students : https://rzp.io/rzp/prime-ai Eligibility for Prime (AI/ML batch) : - B.Tech students preparing for Tech Placement/Internships. - working professionals switching to AI roles - M.Tech/MCA/BCA who are preparing for Tech Placements/Internships Class Schedule : - Mentioned in video & on website. - Lectures will come on weekends - Lecture duration : upto 2.5 - 3 Hours - Some weekends will have additional mentorship sessions. - It will take us 4+ months for completion - Additional projects will be provided in 5th month for more practice. Share your progress on Twitter : https://x.com/ShradhaKhapra_ DSA Series full playlist : https://www.youtube.com/playlist?list=PLfqMhTWNBTe137I_EPQd34TsgV6IO55pt Shradha Khapra Ma'am community Instagram : https://www.instagram.com/shradhakhapra LinkedIn : https://www.linkedin.com/in/shradha-khapra/
ADVERTISEMENT
Maam please launch a complete AI ML course including Data Science
Hi Coders, This One Shot on AI will give you complete understanding of AI Fundamentals. After this you can start learning Python here 👇🏻 Python One Shot (10 hrs) : /watch?v=ERCMXc8x7mc&t=1s
Let's vote for complete course of A and ML
Please give the complete course❤ and thank you for this course❤❤❤
Hi Ma’am, I am currently working at a Big 4 firm as an AI Engineer, and I still clearly remember your DSA and Python sessions, which played a significant role in helping me secure this position. While working here, I have realised that learning AI in depth can be quite challenging, and this reminded me of how impactful your teaching has always been for students. I wanted to request, if possible, that you consider creating a complete playlist or a structured course on AI and ML for students who aspire to build a career in this domain. I would personally be very interested in strengthening my own AI skills through such a course as well. Lastly, I sincerely want to thank you for your efforts, guidance, and kindness—your teaching has had a lasting impact on my journey. With lots of gratitude and respect, thank you.❤☺
00:00:00 – Introduction to Artificial Intelligence (AI) 00:01:31 – What Exactly is AI? 00:04:03 – Understanding Machine Learning (ML) 00:06:07 – Deep Learning: A Subdomain of ML 00:06:55 – Generative AI (Gen AI) 00:07:37 – How Machine Learning Algorithms Work 00:11:25 – ML Algorithms vs. Normal Computer Science Algorithms 00:13:19 – Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning 00:13:30 – Supervised Learning: Learning from Labeled Data 00:16:01 – Classification Problems in Supervised Learning 00:17:37 – Binary vs. Multi-class Classification 00:19:37 – Classification Algorithms 00:19:57 – Regression Problems in Supervised Learning 00:21:27 – Mathematical Understanding of Regression 00:23:19 – Regression Algorithms 00:23:29 – Unsupervised Learning: Learning from Unlabeled Data 00:24:49 – Outlier and Anomaly Detection 00:25:54 – Clustering Problems in Unsupervised Learning 00:26:39 – Partitional vs. Hierarchical Clustering 00:27:27 – Association Problems in Unsupervised Learning 00:28:29 – Unsupervised Learning Algorithms 00:28:52 – Reinforcement Learning 00:30:14 – Reinforcement Learning in Games 00:31:46 – Practical Applications of Reinforcement Learning 00:32:01 – Reinforcement Learning Algorithms 00:32:29 – Tools for Machine Learning Implementation 00:33:21 – Deep Learning Concepts and Unstructured Data 00:36:04 – How Neural Networks Work 00:37:03 – Layers in a Neural Network 00:37:51 – In-depth Training Process of a Neural Network: Forward and Backward Propagation 00:43:06 – Computation in a Single Neuron 00:45:11 – Backward Propagation and Loss Function 00:47:31 – Tools for Neural Networks 00:48:42 – Different Neural Network Architectures 00:49:12 – Feedforward Neural Networks (FNN) 00:49:55 – Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM) 00:51:19 – Convolutional Neural Networks (CNN) for Images and Videos 00:56:07 – Transformers and Attention Mechanism 00:58:19 – Generative AI in Detail 00:59:08 – Popular Generative AI Tools 01:00:38 – Natural Language Processing (NLP) and Large Language Models (LLMs) 01:04:14 – Computer Vision 01:05:12 – Conclusion and Summary
Please bring the complete course of artificial intelligence and machine learning
Any student after completing 10th and learning it in free gap months??😊
this lady has created the most excellent video on AI intoduction , the best part it is in Hindi
Complete course ai and ml full course
Vote for complete AI and ML series please ....
Maam we need full practical course for AI /ML
Complete AI /ML boot camp 🥰
00:00:00 – Introduction to Artificial Intelligence (AI) 00:01:31 – What Exactly is AI? 00:04:03 – Understanding Machine Learning (ML) 00:06:07 – Deep Learning: A Subdomain of ML 00:06:55 – Generative AI (Gen AI) 00:07:37 – How Machine Learning Algorithms Work 00:11:25 – ML Algorithms vs. Normal Computer Science Algorithms 00:13:19 – Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning 00:13:30 – Supervised Learning: Learning from Labeled Data 00:16:01 – Classification Problems in Supervised Learning 00:17:37 – Binary vs. Multi-class Classification 00:19:37 – Classification Algorithms 00:19:57 – Regression Problems in Supervised Learning 00:21:27 – Mathematical Understanding of Regression 00:23:19 – Regression Algorithms 00:23:29 – Unsupervised Learning: Learning from Unlabeled Data 00:24:49 – Outlier and Anomaly Detection 00:25:54 – Clustering Problems in Unsupervised Learning 00:26:39 – Partitional vs. Hierarchical Clustering 00:27:27 – Association Problems in Unsupervised Learning 00:28:29 – Unsupervised Learning Algorithms 00:28:52 – Reinforcement Learning 00:30:14 – Reinforcement Learning in Games 00:31:46 – Practical Applications of Reinforcement Learning 00:32:01 – Reinforcement Learning Algorithms 00:32:29 – Tools for Machine Learning Implementation 00:33:21 – Deep Learning Concepts and Unstructured Data 00:36:04 – How Neural Networks Work 00:37:03 – Layers in a Neural Network 00:37:51 – In-depth Training Process of a Neural Network: Forward and Backward Propagation 00:43:06 – Computation in a Single Neuron 00:45:11 – Backward Propagation and Loss Function 00:47:31 – Tools for Neural Networks 00:48:42 – Different Neural Network Architectures 00:49:12 – Feedforward Neural Networks (FNN) 00:49:55 – Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM) 00:51:19 – Convolutional Neural Networks (CNN) for Images and Videos 00:56:07 – Transformers and Attention Mechanism 00:58:19 – Generative AI in Detail 00:59:08 – Popular Generative AI Tools 01:00:38 – Natural Language Processing (NLP) and Large Language Models (LLMs) 01:04:14 – Computer Vision 01:05:12 – Conclusion and Summary
feeling like she is very disciplined in her life ...beauty with brain
AI Machine learning complete course 🎉🎉❤❤ 16:34
please make a playlist on complete AI
Ma'am you are the best teacher I started watching videos from your channel in 8th standard I had no interest in computers and I had never even read anything but after watching your shorts videos I got interested in computers I am from a smallest town in Pakistan and I have learnt many skills by watching your videos I have learnt Frontend Development, read the basics of C language from your channel and have also completed the C99 book and have also learnt the Python language completely and Ma'am thanks to you you make such good tutorials I have now started the AI course and my teachers are surprised when they come to know that I have gone into so much detail I have so many skills, they ask me where did I learn it from, then I proudly tell them that I learnt all this from Shradha Maam and you are my inspiration.
I am feeling too proud of being our teacher ❤
Plz, make more in depth detailed video on AI, ML, DL.