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Mastering Generative AI with an Industrial Curriculum and Enterprise Technologies
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Until now, Generative AI has been considered an academic concept or scientific research project rather than a practical solution for enterprises. Our first step to changing this perspective was to create integrated Generative AI industrial learning solutions for professionals, colleges, and universities. Our goal is to provide simple, easy-to-understand learning materials, to design and build large language models (LLMs) for real-time industry problems, and to quickly discover measurable business benefits. Currently, we offer our Generative AI courses as part of a two-year master’s degree program specializing in Generative AI.
The study of Generative AI for enterprises is an interdisciplinary study of business, data, machine learning, computing, and cloud technologies. After deep research, we discovered that the industry lacks a one-stop educational resource for learning this multidisciplinary Generative AI field of study. To gain a deeper understanding of Generative AI from problem statements to deployment, we developed these learning resources. Throughout this course, we will demonstrate the steps and processes involved in developing large language model business applications for public services, consumer goods, healthcare, energy, and oil and gas.
Our goal is to meet everyone’s needs, regardless of their background, whether students, professionals, or leaders. The Generative AI program we developed is aimed at phased learning. The phased learning approach enables learners to begin at the foundation level, even if they lack prior knowledge but are eager to learn advanced topics.
Out of the box, our industrial curriculum integrates with a Generative AI innovation lab on the cloud. Our learning lab supports 15+ industry-standard pre-trained large language modules. Learning models can be picked and chosen by learners, and the outcomes can also be compared to help learners select the best model for implementation. By utilizing our large language model (LLM) application framework, learners can optimize and fine-tune the LLM model to meet their business objectives.
The study of Generative AI for enterprises is an interdisciplinary study of business, data, machine learning, computing, and cloud technologies. After deep research, we discovered that the industry lacks a one-stop educational resource for learning this multidisciplinary Generative AI field of study. To gain a deeper understanding of Generative AI from problem statements to deployment, we developed these learning resources. Throughout this course, we will demonstrate the steps and processes involved in developing large language model business applications for public services, consumer goods, healthcare, energy, and oil and gas.
Our goal is to meet everyone’s needs, regardless of their background, whether students, professionals, or leaders. The Generative AI program we developed is aimed at phased learning. The phased learning approach enables learners to begin at the foundation level, even if they lack prior knowledge but are eager to learn advanced topics.
Out of the box, our industrial curriculum integrates with a Generative AI innovation lab on the cloud. Our learning lab supports 15+ industry-standard pre-trained large language modules. Learning models can be picked and chosen by learners, and the outcomes can also be compared to help learners select the best model for implementation. By utilizing our large language model (LLM) application framework, learners can optimize and fine-tune the LLM model to meet their business objectives.