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Learn to harness the power of Generative Artificial Intelligence through hands-on practical applications in this comprehensive video lecture. Master Python-based interactions with OpenAI's models for text and image generation, starting with fundamental GenAI principles before advancing to LangChain implementation for model-agnostic access. Explore prompt management, indexing, chains, and agents while gaining expertise in Retrieval-Augmented Generation (RAG) model integration with graph databases. Develop proficiency in sophisticated image generation and augmentation techniques, including fine-tuning generative neural networks for specific applications. Perfect prompt engineering skills to optimize AI outputs and unleash creative potential. Access supplementary materials including GitHub repositories, textbook resources, and community support through various social media platforms to enhance the learning experience. Designed for students, researchers, and professionals in computer science and related fields who seek to bridge the gap between theoretical knowledge and practical implementation in the evolving landscape of Generative AI.
