Sustaining Innovation in Research: Innovations and Issues around Generative AI University of London

11 free Google courses to gain skills in AI don’t miss out!

However, ethical considerations, such as the potential for misuse or the generation of misleading information must be carefully addressed as generative AI use grows. “Previously, when you thought about AI you probably had associations with computer science but now AI is so broadly available and simple to interact with, new domains of knowledge have emerged around it. LSE has recently launched a sector-leading master’s module focusing on the business and societal implications of artificial intelligence (AI). The results of the call for evidence, including responses where appropriate will be published on GOV.UK in Autumn 2023.

generative ai courses

When utilizing generative AI in instructional design for eLearning, it is crucial to be aware of and actively address potential biases that may arise in the AI-generated content. Bias can stem from genrative ai the training data used to train the AI model or from inherent biases in the algorithm itself. Generative AI can assist in drafting an overview of training material that is effective and engaging.

Machine Learning & Other AI Techniques​

AI-powered tools can save time and resources, allowing instructional designers to focus on other aspects of the creative process. Generative AI can also assist with writer’s block and customized learning paths, making the learning experience more engaging and effective. Following these guidelines, instructional designers can harness the power of generative AI to create effective and engaging eLearning experiences that help learners achieve their specific learning objectives. By mastering the art of prompt engineering, instructional designers can harness the power of generative AI to deliver personalized learning experiences, improve learner engagement, and become more efficient.

  • Generative AI is already becoming deeply embedded in working practices across a wide range of professions.
  • Amita has more than 50 research publications in international journals and conferences, and has co-authored four books, including the best-selling “Deep learning with TensorFlow2 and Keras” with Packt Publications.
  • This presents opportunities as well as challenges for organizations that want to take advantage of new AI technologies.
  • Even though AI generated content is generally well presented and appears convincing, the tools can, and often do, get things wrong.
  • His focus has been encouraging students to grow through effective scaffolds and learning methods.

As an instructional designer, incorporating generative AI into your content creation can offer numerous benefits such as personalized learning, streamlined course planning, and improved engagement. This course is designed for marketers, copywriters, and creative professionals who want to gain a technical understanding of Generative AI and its applications in content production. The focus of this course is on learning the technical aspects of AI tools and techniques for generating text, images, animations, and videos, rather than on the creative process itself. Following a rigorous design process, we launched our Certified Data Skills Framework in 2021 with pathways for Data Practitioners, Data Professionals and Data Leaders. During her time at Chan Zuckerberg Biohub, Norah worked on artificial intelligence for segmentation of nuclei from transmitted images, further developing her expertise in the field.

Supporting you

There is no examination with our Generative Artificial Intelligence (AI) online training package. For our Generative Artificial Intelligence (AI) online training package, you will require a laptop with headphones. He holds a BSc in Electronics Engineering, a MSc in Mechatronics, and he is pursuing PhD studies in Computer Science. In her professional journey, she has worked on use cases like anomaly detection, sentiment analysis, classification, transactional AI assistants, complex big genrative ai data processing, data analytics, document digitisation, ETL pipelining etc. Anjali is passionate about AI and Machine learning and completed the course « Data science for internet of things » in February 2019 from the University of Oxford. Anjali is a Digital Solutions Architect at Metrobank, where she helps to deliver advanced technology driven business solutions around diverse themes of Internet Banking, Mobile App, Business banking, and Open banking/PSD2, using agile methodology.

I am happy that my students have been excited about this course and really engaged in and benefitted from this journey. Through their potentially transformative impact on many time-consuming processes that contribute to the planning of a course, they have the potential to support us in delivery of a quality learning experience. With the right approach and tools, generative AI can revolutionize how corporate training is designed and delivered, leading to better learning outcomes and improved employee performance. Biases in generative AI can be mitigated by utilizing diverse training data, monitoring for biases, and implementing human review. Transparent practices involve disclosing the use of AI, explaining the decision-making process, and providing feedback mechanisms for learners.

AI Enabled Content Production

By leveraging generative AI in instructional design, you can streamline the development of training materials and create personalized learning experiences for your learners. In the following content, we will explore the key principles of prompt engineering for instructional design, using generative AI tools for creating eLearning, and the best practices for applying Artificial Intelligence to corporate training development. Some best practices include ensuring that prompts are clear and concise, aligning prompts with learning objectives, and avoiding jargon and ambiguity. Additionally, instructional designers should regularly review and evaluate the AI-generated content to ensure that it is accurate and relevant. Applying prompt engineering to generative AI in instructional design can help create effective prompts that lead to engaging and personalized corporate training experiences.

Finally, instructional designers should continuously monitor and evaluate the performance of the training material and its impact on learning outcomes. This involves regularly reviewing and analyzing learner data and feedback to identify areas for improvement and refining the AI-generated content accordingly. In addition to these best practices, instructional designers should also consider the importance of genrative ai developing interactive learning activities. Generative AI can be particularly effective in creating interactive activities such as quizzes, example simulations, and personalized learning paths. These activities not only engage learners but also facilitate their understanding of the content. The most effective prompts are those that are aligned with the specific learning objectives of the training program.

Create Image Captioning Models

In the Workshop, teachers from most universities in the United States and Europe present their courses about big data and data analytics, yet I have not seen many specialist courses on AI. Dr Cheng, who runs the course in collaboration with colleague Dr Antti Lyyra, designed the course in response to student demand. The course, which ran for the first time in spring 2023, is available primarily for students on the MSc in Management of Information Systems and Digital Innovation (MISDI) programme. It is also open to other programmes at LSE and exchange students in other institutions. In the age of generative AI though, the sector might need to be quicker to embrace these new tools, just as other sectors already have or are doing.