With all the buzz about AI in the news, its natural for everyone to aspire to have a career in this field. The good news is that there is space for everyone. How do you transition from your existing role? Here are some tips.. 🕴️ Business Professional -> Power User Skill up with prompt engineering to use AI in your business, either for automation or better content. 📊 Business Analyst -> Citizen DataScientist AI use cases can benefit tremendously from knowledge of business. Business analysts can easily skill up to use AutoML to extend analytics with predictive capabilities. 👩🏾💻 Programmer -> Data Scientist/Data Engineer Programmers just need to learn data science techniques and skill up to translate business problems to data science problems or gain knowledge of transforming datasets. 🕸️ IT Infrastructure/DevOps -> ML Engineer (MLOPS) Models developed by data scientists need to be deployed on cloud infra securely. Learn technologies such as MLflow or ZenML in addition to your existing skills in CI/CD development. 🗓️ Project Manager -> AI Success Manager Successful AI projects needs co-ordination between diverse teams as well as business stakeholders. Learn basics of AI and also gain understanding of the workflow from problem definition to deployment of models.
Curious about the "skill up to use AutoML" tip for business analysts. Can you elaborate on what specific AutoML tools or techniques you recommend, Biju Krishnan?
How about the prompt engineer. Biz How should I proceed in it
Thanks for posting
Helping enterprises on their AI journey with consulting, education and governance advice.
7moDo you wish to transition to a career in AI/ML and have questions? Reply to this post 👇🏻 and I will try answer.