Lack of clarity when deciding a career pathway, can be really stressful 😓 I have been receiving many questions and seeing a lot of confusion on this topic, so instead of continuing to answer individual questions, I decided to address them once and for all.
Developing an AI project is not a one person feat. It involves various technical roles and tasks. In this video I deconstruct them both and also go over skills needed and tools used in industry.
✔️Tasks covered: Data Engineering, Modeling, Deployment, Business Analysis, Infrastructure, Research
✔️Roles compared: Data Analyst vs Data Scientist vs Applied Scientist vs AI Researcher vs ML Engineer vs Software Engineer
With the hope that you find this concise yet comprehensive walk-through helpful and you are walking away with clarity and can make informed career decisions.
Best of luck with the journey ahead! 🌟
P.S. You can help me reach out to others who might benefit from it as well by showing this post some ❤️ and don't forget subscribe to my YouTube channel for more such content.
P.P.S. Let me know in the comments on YouTube, if there are any other topics that you would like me to cover next :)