Applied Generative AI Development and Strategy

О курсе

The Applied Generative AI Development and Strategy course equips learners with the technical depth and strategic insight needed to build real-world generative AI solutions. Throughout the program, you will develop advanced skills in prompt engineering, agent-based architectures, fine-tuning large language models, Retrieval-Augmented Generation (RAG), workflow automation, and AI system evaluation. You’ll also gain experience creating proof-of-concept applications with modern frameworks and APIs, as well as presenting compelling demonstrations that communicate AI’s value to stakeholders. By completing this course, you will learn to design controlled model outputs, automate complex processes with multi-model agents, adapt pretrained models for specialized use cases, and evaluate emerging technologies for their business potential. Hands-on modules guide you from foundational model interaction to enterprise-grade application development across Python, Java, LangChain, Spring AI, and cloud-based evaluation tools. This course benefits from the expertise of IBM, SkillUp, and Coursera, offering diverse perspectives and toolsets that reflect real-world AI development environments. Whether you’re building intelligent assistants, experimenting with new AI frameworks, or validating the performance of cutting-edge models, this course gives you the skills to move from experimentation to impactful implementation.

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