nskc-academy
  NSKC ACADEMY

5.0 (79 Reviews)

AI & ML Kickstart (Python Based)

Artificial Intelligence (AI) and Machine Learning (ML) are transformative technologies reshaping industries across the globe. AI refers to the broader concept of machines being able to carry out tasks in a way that we would consider “smart,” such as recognizing speech, making decisions, or translating languages. ML is a subset of AI that enables systems to learn from data and improve over time without being explicitly programmed.

High Demand and Career Opportunities

Future-Proof Skills

Real-World Problem Solving

Innovation and Creativity

Overview

Learning Objectives

  • I learned how machines can analyze large datasets to make intelligent decisions without explicit human instructions.
  • Through AI and ML, I discovered how algorithms recognize patterns and improve from experience over time.
  • I explored supervised, unsupervised, and reinforcement learning methods to solve different types of data-driven problems effectively.
  • I gained hands-on experience using tools like Python, TensorFlow, and Scikit-learn to build predictive models
  • I understood the ethical implications of AI and the importance of fairness, transparency, and responsible model deployment

Stack

56 Total Enrolled

Class Time : 12 Week

12 Seats

Basic to Advance

Completion Certificates

Course Info

AI & ML Kickstart (Python Based)

Batch & syllabus

Maths

AI and ML

View syllabus >

Course Plan

AI and ML

Pay ₹4999 for 3 months class

[Monthly 8 Classes]




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Testimonial

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FAQ's

Basic programming knowledge (preferably Python) and some understanding of high school-level math (algebra, statistics) will help, but the course covers fundamentals step-by-step.

You’ll learn machine learning algorithms, neural networks, data preprocessing, model evaluation, deep learning basics, and practical AI applications.

The course uses Python libraries such as NumPy, pandas, scikit-learn, TensorFlow, and PyTorch to build and train models.

You’ll work on hands-on projects like image recognition, sentiment analysis, recommendation systems, and simple neural networks.

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