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Generative Model Development

Course Reviews

Track :

Artificial Intelligence

Lessons no : 39

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What will you learn in this course?
  • Master designing generative AI models for image, text, and data synthesis using advanced techniques and neural networks
  • Implement deep learning algorithms to develop realistic and diverse generative models for practical applications
  • Apply generative adversarial networks (GANs) and variational autoencoders (VAEs) to create high-quality synthetic data
  • Optimize generative model architectures for improved accuracy, efficiency, and scalability in real-world projects
  • Evaluate and troubleshoot generative models to enhance output quality and reduce artifacts in generated data
  • Integrate generative models into existing AI workflows for creative content, data augmentation, and simulation tasks
  • Utilize Python and popular frameworks like TensorFlow and PyTorch for developing generative AI models
  • Design training strategies to improve convergence, stability, and diversity in generative model outputs

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 39
CRISP ML Q | 360DigiTMG
00:03:21

CRISP ML Q | 360DigiTMG
Data Types | 360DigiTMG
00:03:31

Data Types | 360DigiTMG
Data Collection | 360DigiTMG
00:03:01

Data Collection | 360DigiTMG
EDA Exploratory Data Analysis | 360DigiTMG
00:03:01

EDA Exploratory Data Analysis | 360DigiTMG
EDA Graphical Representation | 360DigiTMG
00:02:01

EDA Graphical Representation | 360DigiTMG
Data Preparation | Auto EDA | 360DigiTMG
00:00:23

Data Preparation | Auto EDA | 360DigiTMG
Data Preparation | 360DigiTMG
00:03:30

Data Preparation | 360DigiTMG
Feature Engineering | 360DigiTMG
00:03:07

Feature Engineering | 360DigiTMG
Probability Distributions | 360DigiTMG
00:03:21

Probability Distributions | 360DigiTMG
Meta Learning | 360DigiTMG
00:00:15

Meta Learning | 360DigiTMG
Data Mining | Supervised Learning | Part 1 | 360DigiTMG
00:03:01

Data Mining | Supervised Learning | Part 1 | 360DigiTMG
Data Mining | Supervised Learning | Part 2 | 360DigiTMG
00:03:21

Data Mining | Supervised Learning | Part 2 | 360DigiTMG
Explainability Techniques | 360DigiTMG
00:00:31

Explainability Techniques | 360DigiTMG
eXplainability Interpretability | 360DigiTMG
00:00:15

eXplainability Interpretability | 360DigiTMG
Model Building | Clustering | 360DigiTMG
00:03:18

Model Building | Clustering | 360DigiTMG
Model Building | Dimension Reduction | 360DigiTMG
00:03:01

Model Building | Dimension Reduction | 360DigiTMG
Model Building | Recommender System | 360DigiTMG
00:03:01

Model Building | Recommender System | 360DigiTMG
Model Building | Network Analytics | 360DigiTMG
00:03:30

Model Building | Network Analytics | 360DigiTMG
Model Building | Association Rules | 360DigiTMG
00:03:01

Model Building | Association Rules | 360DigiTMG
Text Mining and NLP Pipeline | Part 1 | 360DigiTMG
00:03:40

Text Mining and NLP Pipeline | Part 1 | 360DigiTMG
Text Mining and NLP Pipeline | Part 2 | 360DigiTMG
00:03:21

Text Mining and NLP Pipeline | Part 2 | 360DigiTMG
Data Mining Supervised Learning Predictive Modeling – Evaluation Techniques | 360DigiTMG
00:03:20

Data Mining Supervised Learning Predictive Modeling – Evaluation Techniques | 360DigiTMG
Data Mining Supervised Learning Predictive Modeling – Graphical Evaluation Techniques | 360DigiTMG
00:03:18

Data Mining Supervised Learning Predictive Modeling – Graphical Evaluation Techniques | 360DigiTMG
Naïve Bayes | Probability Based Algorithm | 360DigiTMG
00:04:12

Naïve Bayes | Probability Based Algorithm | 360DigiTMG
KNN Distance Based Algorithm | 360DigiTMG
00:02:01

KNN Distance Based Algorithm | 360DigiTMG
Decision Tree | 360DigiTMG
00:04:01

Decision Tree | 360DigiTMG
Ensemble Methods | 360DigiTMG
00:04:01

Ensemble Methods | 360DigiTMG
Ensemble Non Generative Models Voting Stacking | 360DigiTMG
00:04:01

Ensemble Non Generative Models Voting Stacking | 360DigiTMG
Generative Models AdaBoost | 360DigiTMG
00:03:01

Generative Models AdaBoost | 360DigiTMG
Generative Models Gradient Boosting | 360DigiTMG
00:03:00

Generative Models Gradient Boosting | 360DigiTMG
Generative Models eXtreme Gradient Boosting | 360DigiTMG
00:03:09

Generative Models eXtreme Gradient Boosting | 360DigiTMG
Generative Models Bagging | 360DigiTMG
00:03:01

Generative Models Bagging | 360DigiTMG
Generative Models Random Forest | 360DigiTMG
00:03:31

Generative Models Random Forest | 360DigiTMG
Hypothesis Testing | 360DigiTMG
00:00:37

Hypothesis Testing | 360DigiTMG
Supervised Learning | Linear Regression | 360DigiTMG
00:03:18

Supervised Learning | Linear Regression | 360DigiTMG
Supervised Learning | Logistic Regression | 360DigiTMG
00:01:01

Supervised Learning | Logistic Regression | 360DigiTMG
Regression Technique | 360DigiTMG
00:00:16

Regression Technique | 360DigiTMG
Deep Learning Primer | 360DigiTMG |
00:00:15

Deep Learning Primer | 360DigiTMG |
Activation Function | 360DigiTMG
00:01:01

Activation Function | 360DigiTMG


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Monisha Vijayan 

Amazing
2025-10-08

MANONMANI D 

Extraordinary
2025-10-08

Gowtham S 

Excellent
2025-10-06

Rakibul_ Hasan 

that was quite helpful!!
2025-08-25

s jafari 

good
2025-02-14

Dipali Khatua 

Excellent ..
2024-07-07

Md.Imtiaj Hossain 

Getting a lot of help!
2023-12-31

Ayush Tiwari 

good
2023-12-17

Rajesh Kumar 

Intresting classes
2023-12-16

Komal Bharti 

Very interesting classes
2023-12-15

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Generative Model Development course, In this course we'll explore creating AI models that generate data, from images to text, using advanced techniques.