Course Overview
Schedule of Classes
Start Date & End Date
May 01 2025 - Sep 30 2025
Course Curriculum
1 Subject
Artificial Intelligence MAY 2025 Batch
22 Learning Materials
Recorded Sesssions
Class 1 - Introduction to AI and Machine Learning
Video
52:55
Class 2 - Building a classification model with supervised learning
Video
1:57:38
Class 3 - Introduction to unsupervised learning Building an unsupervised learning model
Video
53:48
Class 4 - Understanding Convolutional Neural Networks (CNNs)
Video
2:1:1
Class 5 - Introduction to Natural Language Processing (NLP)
Video
1:1:29
Class 6 - Building a simple Reinforcement Learning model & its techniques
Video
1:46:48
Class 7 - Introduction to GANs (Generative Adversarial Networks) Building a GAN project
Video
50:41
Class 8 - Introduction to Transfer Learning Building a Transfer Learning project
Video
56:1
Class 9 -Understanding Data Pre-processing & Feature Engineering
Video
1:51:57
Class 10 - Introduction to Hyperparameter Tuning Building a hyperparameter tuning pipeline
Video
51:43
Class 11 - Introduction to Cloud Computing & Deployment Deploying your AI model to the cloud
Video
51:43
Class 12 - Introduction to Natural Language Processing (NLP) applications Building a chatbot
Video
57:21
Class 13 - Introduction to Speech Recognition & Synthesis Building a speech recognition
Video
57:6
Class 14 - Introduction to Time Series Analysis Building a time series forecasting model
Video
2:8:17
Class 15 - Introduction to Recommender Systems Building a recommender system
Video
53:3
Class 16 - Introduction to AI in Business Building a fraud detection mode
Video
59:17
Class 17 - Introduction to AI in Education Building an AI-powered educational tool
Video
52:56
Class 18 - Introduction to Explainable AI (XAI) Building an XAI model
Video
54:2
Class 19 - Introduction to AI Ethics and Bias Understanding the importance of ethical
Video
1:19:38
Class 20 - Conclusion and Recap Q&A session
Video
1:25:22
Class 21
Video
49:35
Class 22
Video
42:58
Course Instructor
Teachnook Team
567 Courses • 41580 Students
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