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.

Machine Learning Roadmap📌

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