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Artificial Intelligence October 2024 Batch

An Artificial Intelligence course covers the fundamentals of AI, including machine learning, neural networks, and deep learning. Students learn to build intelligent systems that can analyze data, recognize patterns, and make decisions. The course focuses on algorithms, programming, and real-world applications, preparing students for careers in AI development, research, and innovation.

Course Instructor Teachnook Team

FREE

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Course Overview

Our mentor-led courses provide a more interactive experience with 3-4 live classes every week, guided by expert instructors. You'll also have access to recorded sessions to review at your convenience. Benefit from real-time interaction, personalized feedback, and the support of mentors to keep you on track throughout your learning journey.

Schedule of Classes

Start Date & End Date

Oct 01 2024 - May 31 2025

Course Curriculum

1 Subject

Artificial Intelligence October 2024 Batch

39 Learning Materials

Induction Session and Class Agenda

Agenda

PDF

Induction Session

Video
1:1:58

Introduction to Python

Class 1

Video
1:20:18

Class 2

Video
1:15:26

Class 3

Video
1:12:21

Class 4

Video
1:8:20

Class 5

Video
1:12:26

Class 6

Video
1:1:58

Class 7

Video
1:15:8

Class 8

Video
1:14:28

Class 9

Video
40:57

Class 10

Video
59:51

Class 11

Video
1:19:39

Class 12

Video
1:3:6

Pre-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

Notes

Task 1

Audio

Advertising

PDF

CNN

ZIP

Course Instructor

tutor image

Teachnook Team

555 Courses   •   41386 Students