The Learning Engineer is DEAD? Long LIVE! the Learning Engineer?

It seems like you have a lot of questions and concerns about the role of AI in the field of learning and development (L&D). While it's true that the specific job title "Learning Engineer" may not be widely used, the concept of leveraging data and analytics in learning outcomes is still very much relevant.

Learning analytics, which involves the collection and analysis of learner data to improve learning experiences, is an area that holds great potential for AI integration. By harnessing the power of AI, learning platforms can provide personalized recommendations, adaptive learning paths, and real-time feedback to learners. These advancements can enhance the learning process and help learners achieve their goals more effectively.

Regarding the need to learn Python for meaningful analytics, it depends on the specific requirements of your role and the tools you'll be using. Python is a popular programming language for data analysis and machine learning, and having knowledge of it can certainly be beneficial. However, there are also user-friendly analytics tools available that may not require coding skills. It's important to assess your specific needs and determine if Python or other analytics tools are necessary for your desired level of analysis.

As for resources on AI in T&D or L&D, Megan's book "Data and Analytics for Instructional Designers" sounds like a good starting point. Additionally, exploring publications and online communities dedicated to AI in education, such as research journals or LinkedIn groups, can provide valuable insights and discussions on the topic.

While the field of learning experience design (LXD) is constantly evolving, it's likely that AI will play an increasingly important role in shaping the future of L&D. As AI technology continues to advance, it opens up new possibilities for personalized learning, intelligent tutoring systems, and data-driven decision-making in instructional design.

It's always a good idea to stay informed about the latest developments and trends in AI and how they relate to the field of learning and development. By keeping up with industry publications, attending conferences or webinars, and engaging with professional networks, you can stay connected to the broader community and gain insights into how AI is being implemented in T&D and L&D contexts.

Remember, the field of AI is rapidly evolving, and it's important to approach it with a growth mindset and a willingness to continuously learn and adapt to new technologies and methodologies.