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Generative AI Certification with an Extra Boost Course.

Empower Your Cloud Journey with Generative AI Excellence.

Dynamic Online Learning with Virejetech Certified Instructors.
Interactive Skill-building and Educational Assistance
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"Advance your career with our holistic App Development Program, meticulously designed to cultivate the skills of a modern app developer. This sought-after course covers key modules, including App Development Foundations and Techniques, providing extensive exposure to diverse domains. Empower yourself with cutting-edge tools for Visualization and Insights, ensuring a well-rounded skill set in the dynamic field of app development."

25 hrs

Learning content

Generative AI

1.Introduction to Generative AI

2 Quizzes

1 Project

Definition and Evolution of Generative AI
Pioneers and Key Researchers in the Field
Historical Milestones: From Early Models to GPT-4
Industry-Specific Applications: Healthcare, Finance, Entertainment
Ethical Considerations: Bias, Fairness, and Responsible AI

Fundamentals of Generative Models

Advanced Probability Distributions in Generative Models
Autoencoders: Variational Autoencoders (VAEs), Stacked Autoencoders
Markov Chains: Higher-Order Chains and Non-Stationary Processes
Hidden Markov Models (HMMs): Applications in Speech Recognition
Bayesian Generative Models: Bayesian Neural Networks (BNNs)

In-depth Exploration of GANs

Beyond Basic GANs: Wasserstein GAN, InfoGAN
Probing the GPT Model: Feature Attribution and Interpretability
GANs for Data Augmentation: Techniques and Best Practices
Defense Mechanisms Against Adversarial Attacks
Evolution of GANs in Image-to-Image Translation

Sequence Generation with RNNs

Advanced RNN Architectures: Long Short-Term Memory Networks (LSTMs)
Attention Mechanism: Multi-Head Attention and Self-Attention
Neural Machine Translation with Sequence-to-Sequence Models
Contextual Embeddings: BERT and XLNet
Overcoming Challenges in Long-Term Dependencies: Techniques and Research

Transformer Models and Attention Mechanism

ransformer Interpretability: Attention Visualization
Transformer Variants: XLNet, T5, and GPT-3 .
Pre-training and Fine-tuning Strategies for Transformers
Transformers Beyond NLP: Image Generation and Reinforcement Learning

Hands-On Projects

Implementing Advanced GANs: StyleGAN2, BigGAN
Natural Language Generation with Large Language Models
Fine-tuning Transformer Models for Custom Tasks
Debugging and Optimization Strategies in Generative AI Projects
Collaborative Coding Session: Peer Code Reviews and Feedback

Ethical Considerations in Generative AI

Unpacking Ethical Dilemmas in AI-generated Media
Societal Implications of Deepfakes and Synthetic Content
AI for Good: Generative Models in Humanitarian Efforts
Responsible AI Research Practices and Publishing Guidelines

Advanced Applications

Meta-Learning and Transfer Learning in Generative Models
Deep Generative Models for Drug Discovery
Generative AI in Climate Science: Earth System Modeling
Generative AI in Climate Science: Interactive Storytelling with AI: Challenges and Opportunities

Resume building and Mock interviews