Himanshu Ramchandani
Machine learning and MLOps, along with
How to learn NLP, CV, and Generative AI as a Tech Professional or as a student.
The Machine Learning roadmap contains 7 parts ->
1 - Mathematics in Machine Learning
2 - Machine Learning Concepts
3 - Data Processing X Machine Learning
4 - Models | Generative AI, NLP, and Computer Vision
5 - MLOps | Machine Learning Operations
6 - Machine Learning System Design
7 - Machine Learning Interview & Projects
Join this webinar if you ->
- Want to gain an in-depth understanding of what topics to learn in ML
- Want to build a profile and portfolio of projects as an ML Engineer or Data Professional
- Want to make your career AI-proof by understanding what to learn about Generative AI?
I'll teach you ->
- What path to follow while learning ML?
- What the job market is saying about data professionals?
- How much math is Important?
- How to build projects and portfolios as an ML Engineer or Data Scientist.
- How to create a system that can guarantee you get a Job?
- Additional resources to help you (both free and paid)
Followed by a short Q&A.
Why learn from me?
Because I am running an AI company with 7+ years of experience in Data Science.
I gained 20,000+ followers in the last 8 months as a Data and Engineering Consultant with 20+ million impressions on my posts.
Also, because I was in your shoes years ago.
This Webinar is FREE
It won't be recorded, so the only way to learn is to attend live.