Gen AI

Enrolled : 154 students
Duration : 73 Mins
No. of Videos: 25
Categories: eLearning
Certification: Yes
Access:Lifetime
Type:Animated Video Series

Looking to learn about the advanced techniques and the creative potential of AI?

Our Generative AI module is your answer.

In this affordable course (just ₹99), you will explore:

1.Fundamentals of Generative Models: Grasp the core concepts.

2.Generative Adversarial Networks (GANs): Learn how to generate realistic images and videos.

3.Variational Autoencoders (VAEs): Discover a powerful technique for data generation and dimensionality reduction.

4.Transformers: Understand the architecture behind advanced language models.

5.Ethical Considerations of Generative AI: Learn about the responsible use of AI.

Enroll now and future-proof your skills. Discover the intersection of technology, creativity, and human expression.

Gen AI

Course Features

1.1 History of Generative AI

1.2 Applications of Generative AI

1.3 Types of Generative Models

1.4 Role of deep learning in Generative AI

1.5 LLM

1.6 NLG

1.7 Prompt Engineering

1.8 RAG

2.1 Generative Adversarial Networks(GANs)

2.2 Different GAN architectures

2.3 Applications of GANs in image generation, text generation,and music composition

3.1 Architecture and functionalities of Variable autoencoders

3.2 Latent space exploration and manipulation in VAEs

3.3 Applications of VAEs in data compression,image reconstruction,and anomaly detection

4.1.Introduction to transformer architecture and its application in NLP

4.2.Text generation with Generative Pre-trained Transformers(GPTs)

4.3 Application of transformers in machine translation,dialogue systems and text summarisation

5.1 Building and training your own generative model

5.2 Fine-tuning pre-trained models for specific tasks

6.1 Bias and Fairness in Generative AI models

6.2 Deepfakes and potential for misuse

6.3 Responsible development and deployment of Generative AI

7.1 How to use ChatGPT

7.2 How to use Gemini

7.3 How to use Copilot

Gen AI

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Gen AI

Gen AI

Course Features

1.Introduction to Generative AI

1.1 History of Generative AI 3.5 Min

1.1 History of Generative AI

1.2 Applications of Generative AI 3.5 Min

1.2 Applications of Generative AI

1.3 Types of Generative Models 4.2 Min

1.3 Types of Generative Models

1.4 Role of deep learning in Generative AI 1.4 Min

1.4 Role of deep learning in Generative AI

1.5 LLM 3.2 Min

1.5 LLM

1.6 NLG 4.6 Min

1.6 NLG

1.7 Prompt Engineering 2.4 Min

1.7 Prompt Engineering

1.8 RAG 2.2 Min

1.8 RAG

2.Generative Adversarial Networks(GANS)

2.1 Generative Adversarial Networks(GANs) 2.1 Min

2.1 Generative Adversarial Networks(GANs)

2.2 Different GAN architectures 3.1 Min

2.2 Different GAN architectures

2.3 Applications of GANs in image generation, text generation,and music composition 1.5 Min

2.3 Applications of GANs in image generation, text generation,and music composition

3.Variational Autoencoders(VAEs)

3.1 Architecture and functionalities of Variable autoencoders 2.1 Min

3.1 Architecture and functionalities of Variable autoencoders

3.2 Latent space exploration and manipulation in VAEs 2.4 Min

3.2 Latent space exploration and manipulation in VAEs

3.3 Applications of VAEs in data compression,image reconstruction,and anomaly detection 2.3 Min

3.3 Applications of VAEs in data compression,image reconstruction,and anomaly detection

4.Generative Transformers

4.1.Introduction to transformer architecture and its application in NLP 4.5 Min

4.1.Introduction to transformer architecture and its application in NLP

4.2.Text generation with Generative Pre-trained Transformers(GPTs) 3.5 Min

4.2.Text generation with Generative Pre-trained Transformers(GPTs)

4.3 Application of transformers in machine translation,dialogue systems and text summarisation 2.5 Min

4.3 Application of transformers in machine translation,dialogue systems and text summarisation

5.Implementing Generative Models

5.1 Building and training your own generative model 2.6 Min

5.1 Building and training your own generative model

5.2 Fine-tuning pre-trained models for specific tasks 4.6 Min

5.2 Fine-tuning pre-trained models for specific tasks

6.Ethical Considerations of Generative AI

6.1 Bias and Fairness in Generative AI models 3.1 Min

6.1 Bias and Fairness in Generative AI models

6.2 Deepfakes and potential for misuse 3.1 Min

6.2 Deepfakes and potential for misuse

6.3 Responsible development and deployment of Generative AI 2.6 Min

6.3 Responsible development and deployment of Generative AI

7.Usage of Gen AI tools

7.1 How to use ChatGPT 4.1 Min

7.1 How to use ChatGPT

7.2 How to use Gemini 3.3 Min

7.2 How to use Gemini

7.3 How to use Copilot 3.5 Min

7.3 How to use Copilot

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Gen AI

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