Generative AI & AWS AI Practitioner Certification

This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. This comprehensive course covers the essentials of Generative AI and prepares you for the AWS AI certification exam. You’ll start by exploring AI/ML fundamentals, including various machine learning models, data types, and the differences between supervised, unsupervised, and reinforcement learning. As you advance, the course dives into Generative AI, focusing on foundation models, Large Language Models (LLM), and transformer architectures that power modern AI systems. You will also gain hands-on experience with AWS tools like Amazon Bedrock and SageMaker, learning to deploy, fine-tune, and optimize models in a cloud environment. The course equips you with both theoretical knowledge and practical skills, ensuring you're prepared for real-world applications. Throughout the journey, you’ll first build a strong foundation in AI/ML concepts and deep learning. From there, you'll dive into the exciting world of Generative AI, learning how it generates creative outputs and its applications across industries. You'll also explore AWS’s generative AI tools like Amazon Bedrock and SageMaker, which will help you master the skills needed to work in the cloud and deploy scalable AI models. By the end of the course, you’ll have a deep understanding of AI and its applications, making you ready to tackle complex problems with AWS's powerful tools. This course is designed for anyone interested in pursuing a career in AI and cloud computing, from aspiring data scientists to IT professionals looking to enhance their AI knowledge. There are no formal prerequisites, but familiarity with basic programming concepts or cloud computing can be beneficial. The course is suitable for intermediate learners with some foundational knowledge in tech or AI. By the end of t