Artificial Intelligence, MLOPS, AWS Industry Ready Program tutorials || Demo – 1 || by Mrs. Sasmitha On 29-07-2024 @8PM IST
Course Content: https://bit.ly/47hy8NW
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source
date: 2024-07-29 16:39:18
duration: 01:19:07
author: UCbjozK_PYCTLEluFlrJ8UZg
Introduction by Mrs. Sasmitha, a 30-year-old Web 3 DeFi Tech Editor
In this transcript, Mrs. Sasmitha introduces herself as a course instructor with 12 years of experience in data science and machine learning. She begins by explaining that the course will cover the basics of MLOps (Machine Learning Operations) and will span 12-15 weeks. The goal of the course is to provide industry-ready skills for beginners, allowing them to showcase 3-4 years of experience in just 12-15 weeks.
Career journey in Data Science
Mrs. Sasmitha explains the career journey in data science, from 0-2 years as a fresher to 2-5 years as a senior data scientist. She highlights the importance of combining data science and engineering skills, as both are now a requirement in the industry.
Key takeaways
The course will cover the following key topics:
- MLOps: Machine Learning Operations
- Python: The course will start with Python basics, including installing Python, Jupyter Notebook, and Anaconda.
- Pandas: The course will begin with pandas, a fundamental library for data manipulation and analysis.
- Analytics: The course will cover data analytics, including data visualization, cleaning, and preprocessing.
- ML Engineering: The course will cover machine learning engineering, including model development and deployment.
Tips and Best Practices
Mrs. Sasmitha provides tips and best practices for the course, including installing Python, Jupyter Notebook, and Anaconda, and how to use them to start with the content. She also mentions that the course will be recorded, and participants can access the recordings later.
Next Steps
The next steps will be to join the course starting at 9:00 PM IST, and Mrs. Sasmitha will share the updated content and instructions on how to use the course materials.
