This course offers a comprehensive introduction to Generative AI, focusing on its principles, architectures, and practical applications. Learners will explore how generative models, including large language models (LLMs) and transformer architectures, create text, images, audio, and video by learning from vast datasets. The course covers advanced techniques such as prompt engineering, fine-tuning, and retrieval-augmented generation, along with ethical considerations and bias mitigation. Hands-on projects and real-world case studies prepare participants to develop, deploy, and optimize generative AI solutions that drive innovation across industries while addressing operational and societal challenges.

This course offers a comprehensive introduction to Generative AI, focusing on its principles, architectures, and practical applications. Learners will explore how generative models, including large language models (LLMs) and transformer architectures, create text, images, audio, and video by learning from vast datasets. The course covers advanced techniques such as prompt engineering, fine-tuning, and retrieval-augmented generation, along with ethical considerations and bias mitigation. Hands-on projects and real-world case studies prepare participants to develop, deploy, and optimize generative AI solutions that drive innovation across industries while addressing operational and societal challenges.
Generative AI Engineer, AI Product Manager, Prompt Engineer, Model Fine-Tuner, AI Solutions Architect
Certification