AI & ML Industry Ready Internship

About Course
The AI ML Mastery Training is designed to introduce you to the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML) from scratch. Whether you have a tech or non-tech background, this course will equip you with essential skills and knowledge to understand and implement AI & ML concepts. With a practical, hands-on approach, you’ll be guided by experienced instructors through Python programming, supervised and unsupervised learning, and neural networks.
Why Should You Take This Industry Training?
AI & ML are the future of technology, and demand for skilled professionals is skyrocketing. By taking this course, you’ll gain a competitive edge in the job market, learning from industry experts with practical experience. With no prior knowledge required, this beginner-friendly course makes it easy for anyone to start building a career in AI & ML, opening doors to exciting opportunities in various sectors like healthcare, finance, robotics, and more.
Key Highlights
- Taken by Instructors from Microsoft, Samsung, Myntra, etc
- 2 Live Classes After College Hours Per Week
- Recording Will Be Provided
- Minor Project In End
- Internship In Association With AICTE
- 2 Certification After Completion of Training
- Duration – 3 Months [As UGC has Mandate 3 Month Internship for UG Students ]
This Internship Training is perfect for anyone eager to dive into the world of AI & ML and embark on a career in one of the fastest-growing tech fields.
Invest in your future by mastering AI & ML and stay ahead in the technology landscape!
Course Content
1. Introduction to Python
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Python Basics
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1.1 Python Basics RECORDED
00:00 -
1.2 Control Structures
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1.2 Control Structures RECORDED
00:00 -
1.3 Functions In Python
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1.3 Functions In Python RECORDED
00:00 -
1.4 Modules & Libraries
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1.4 Modules & Libraries RECORDED
00:00 -
1.5 Introduction To Numpy – Part 1
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1.5 Introduction To Numpy – Part 1 RECORDED
00:00 -
1.6 Introduction To Numpy – Part 2
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1.6 Introduction To Numpy – Part 2 RECORDED
00:00 -
1.7 Introduction To Pandas Part 1 RECORDED
00:00 -
1.8 Introduction To Pandas Part 2
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1.8 Introduction To Pandas – Part 2 RECORDED
00:00