Generative AI
Applied Generative AI Specialization
Master real-world applications of generative AI to build innovative, intelligent solutions.
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Intermediate
Updated 11/2025
Hinglish
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Course Description
This Applied Generative AI course equips you to develop AI-powered applications using industry-relevant tools and frameworks. Master key concepts like prompt engineering, GANs, VAEs, and LLM architectures while exploring advanced topics, including agentic AI, LLM fine-tuning, RAG, and AI governance for practical, real-world deployments.
1. Introduction to Generative AI
4 Lectures
Introduction to Generative AI
Fundamentals of Generative Artificial Intelligence
Principles of Generative AI and Its Applications
Generative AI: Concepts and Foundations
2. Foundations of Machine Learning for Generative AI
4 Lectures
Foundations of Machine Learning for Generative AI
Fundamentals of Machine Learning in Generative AI
Machine Learning Basics for Generative Artificial Intelligence
Principles of Machine Learning for Generative Models
3. Deep Generative Models
4 Lectures
Introduction to Deep Generative Models
Fundamentals of Deep Generative Models
Principles of Deep Generative Modeling
Advanced Topics in Deep Generative Models
4. Natural Language Generation (NLG)
4 Lectures
Introduction to Natural Language Processing
Fundamentals of Natural Language Processing
Principles of NLP and Language Understanding
Natural Language Processing for Artificial Intelligence
5. Image and Video Generation
4 Lectures
Introduction to Generative Models for Images and Videos
Fundamentals of Image and Video Generation
Principles of Visual Content Generation
Deep Learning for Image and Video Synthesis
6. Audio and Speech Generation
4 Lectures
Introduction to Generative Models for Audio and Speech
Fundamentals of Audio and Speech Generation
Principles of Speech and Audio Synthesis
Deep Learning for Audio and Speech Generation
7. Practical Applications of Generative AI
4 Lectures
Practical Applications of Generative AI
Applications of Generative Artificial Intelligence
Real-World Implementations of Generative AI
Generative AI: Practical Use Cases and Innovations
8. Fine-Tuning and Custom Models
4 Lectures
Fine-Tuning and Custom Model Development
Fundamentals of Fine-Tuning and Model Customization
Introduction to Fine-Tuning in Generative AI
Principles of Custom Model Training and Adaptation
9. Tools, Platforms, and APIs
4 Lectures
Tools, Platforms, and APIs for Generative AI
Fundamentals of Generative AI Tools and Platforms
Introduction to Generative AI Platforms and APIs
Generative AI: Tools, Frameworks, and Integration APIs
10. Ethics, Safety, and Responsible AI
4 Lectures
Ethics, Safety, and Responsible AI
Principles of Ethical and Responsible AI
Foundations of AI Ethics and Safety
Responsible Artificial Intelligence: Ethics and Governance
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Frequently Asked Questions
This course provides comprehensive knowledge with practical examples for
beginners and professionals.
No prior experience required. We start with basics and progress to
advanced topics.
₹15,000
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