Generative AI Couses

Introduction to Generative AI

– Introduction to AI and Generative Models
– Basics of Neural Networks
– Ethical Considerations
– Applications of Generative AI

– Beginners in AI
– Professionals expanding AI knowledge
– Students/researchers interested in AI

– Video lectures
– Case studies
– Quizzes
– Final project

Mastering Generative AI

– In-depth understanding of Neural Networks
– Advanced Generative Models: GANs, VAEs, etc.
– Hands-on with Generative Models
– Optimization Techniques

– Intermediate learners
– Developers, engineers, and data scientists
– AI enthusiasts with some background

– Code walkthroughs
– Hands-on exercises
– Expert mentorship
– Real-world problem-solving tasks

Generative AI in Action

– AI-Generated Content Basics
– Content Creation using GANs, GPT-3, and Style Transfer
– Legal and Ethical Issues
– Real-life content creation projects

– Content creators
– Marketers and businesses
– Digital artists and creative professionals

– Pre-trained models (e.g., GPT-3, GANs)
– Content creation projects
– Examples of AI-generated content
– Community forums and feedback

Deep Learning and Neural Networks

– Deep learning foundations
– Training and optimizing Deep Learning Models
– Regularization, Optimization
– Advanced Neural Networks for Generation

– Intermediate to advanced learners
– Data scientists, ML engineers, and AI researchers

– Coding tutorials
– Hands-on project assignments
– In-depth lectures
– Live sessions for Q&A

Generative Adversarial Networks (GANs)

– Introduction to GANs
– Training GANs and overcoming common challenges
– GAN applications in image generation and deepfake detection
– Advanced GAN techniques

– AI engineers and researchers
– Learners interested in advanced generative techniques
– ML enthusiasts

– Hands-on GAN projects
– Detailed architecture explanations
– Bonus content on deepfake detection and ethics

Text Generation and NLP

– Introduction to NLP and Language Models
– Text generation with GPT and transformers
– Fine-tuning for specific tasks
– Ethical considerations in NLP

– NLP researchers and data scientists
– Developers building chatbots or content generators
– General AI learners

– Python tutorials with GPT-3 and transformers
– Real-world projects (chatbot, content generator)
– Quizzes and assignments – Access to pre-trained modelsments

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