Full course description
This course, presented in a "Train the Trainer" format, participants with a comprehensive understanding of generative AI principles, strategies, and practices. It covers the history, fundamental concepts, and technological advancements of generative AI, as well as future projections. The course explores how generative models function across various industries, emphasizing real-world applications and societal impacts. participants will learn prompt design and application, from basic NLP tasks to advanced prompt engineering for diverse AI applications, including image generation. The curriculum includes hands-on experience with cutting-edge generative AI tools for creating text, images, audio, and video content. Ethical considerations in generative AI, such as fairness and transparency, and the role of global policy and regulation, are thoroughly discussed. The course also covers neural network fundamentals, the evolution of Large Language Models (LLMs) and diffusion models, and practical skills in the generative AI project lifecycle, including pre-training, fine-tuning, and optimization of AI models. Participants will develop the ability to prototype generative AI applications and understand their role within the modern tech stack. The importance of LLM alignment in AI ethics is highlighted, with strategies for ethical alignment and case studies analyzed for future potentials of LLMs. Additionally, participants will engage in evaluating and optimizing AI models using current benchmarks, applying advanced techniques like reinforcement learning from human feedback (RLHF), and exploring APIs and libraries for generative AI development.