AICTE offers a virtual internship program that focuses on Artificial Intelligence (AI) and Machine Learning (ML).
It is meant for students and professionals who want to understand how machines learn from data and how these systems are used in different industries.
The course content is based on materials from DeepLearning.AI and covers core ideas in machine learning and deep learning.
What You Will Learn
Interns will study how machines use data to recognize patterns and improve over time. Topics include supervised and unsupervised learning, neural networks, and model evaluation.
You’ll work on real projects using data and simple models. This mix of theory and practice helps you build the skills needed to use AI and ML in real-world situations.
Structure and Duration
The internship runs for 2 months and is fully remote. You can complete tasks at your own pace, though there will be deadlines to keep you on track.
This setup allows you to learn and practice flexibly while staying focused on the goals of the program.
Who Can Apply
- Anyone from any location or academic background
- Must be available for 2 months
- Must have a laptop
- Should have interest or basic skills in AI and ML
This internship is open to all students and early professionals, regardless of their major. Some knowledge of Python and math (like statistics or linear algebra) is helpful but not required.
Requirements
- A laptop is needed to complete all tasks and access course content
- A steady internet connection is important for watching videos and submitting assignments
- No fee or stipend is involved in this program
Perks: There are no perks or paid benefits. The main focus is on building knowledge and practical experience.
Why Apply
If you’re curious about AI and ML or planning to work in a field that uses data and smart systems, this virtual internship offers a useful way to get started.
It provides clear learning goals and simple project work that you can add to your resume.
How to Apply
Interested candidates can visit the AICTE Internship Portal and apply directly through the listing by submitting their resume and basic details.
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