I am Archana and currently residing in Dallas, Texas. I am trying to switch my career into AI/ML and I have 15 years of experience mostly in Management. I am learning on my own to transition into the AI/ML field. I am looking to quickly learn the skills and get into a job relevant to AI/ML so I can keep learning from work. Any guidance and support would be appreciable.
I’ve recently begun learning Python and AI/ML, but I’m doing so without hands-on, real-time work experience. As I’m transitioning to AI/ML midway through my career—having previously worked in product and project management within the technology sector—I’m unsure which roles would best suit my background or what level of expertise is required to secure a job in this field.
I’m uncertain about how long it will take me to acquire the necessary skills to secure a role in AI/ML, and I’m not entirely sure which areas I need to master. I also don’t have a clear understanding of which positions would best align with my background, and I’d appreciate guidance on how to approach this transition. Any advice on which roles to focus on for a quicker entry into the field—allowing me to gain deeper knowledge as I progress—would be incredibly helpful. I hope I’ve explained my situation clearly, and any guidance would be greatly appreciated.
Machine Learning Specialization: Covers the essential techniques of ML.
Deep Learning Specialization: Intermediate course covering more complex types of models and methods.
Then you decide which more specific areas to study.
Generative methods are all the rage right now, both for chat tools and visual tools.
Or, there are a number of Short Courses on language model tools like chat bots. Those are great if you want to learn how to use these types of tools, without needing to know exactly how they work internally.
Are there any positions available related to Generative methods and using associated tools. If so where can i find further details about the career options and available tools? Please advice.
@ArchanaJagannathan@TMosh is fine. We dig a ‘little’ if you get to the NLP Specialization (as far as Huggingface is concerned), but you will want to go deeper.